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Yu, Michelle, Avinash Maganty, Liam C. Macleod, Jonathan G. Yabes, Mina M. Fam, Jathin Bandari, Alessandro Furlan, et al. "Cost implications of multi-parametric magnetic resonance imaging in prostate cancer active surveillance." Journal of Clinical Oncology 37, no. 7_suppl (March 1, 2019): 65. http://dx.doi.org/10.1200/jco.2019.37.7_suppl.65.
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65 Background: Multi-parametric resonance imaging (mpMRI) has emerged to improve disease risk-stratification and decrease number of repeat biopsies in men on prostate cancer active surveillance (AS). However, the impact of mpMRI on cost of AS has not been established. We thus characterize the impact mpMRI on cost of AS in the Medicare population. Methods: Using SEER-Medicare files we identified men ≥66 years old with localized grade group I-II prostate cancer diagnosed 2008-2013. With an established algorithm, we classified men into active surveillance with and without mpMRI. We then determined cost of surveillance in each group using inflation-adjusted Medicare payments for surveillance-related procedures and their sequalae (i.e. PSA tests, prostate biopsies, post-biopsy complications and mpMRIs). Multivariable median regression compared cost and procedural-intensity for men who received mpMRI and those who did not. Results: We identified 9,081 men on AS with median follow up 45 months (IQR 29-64 months). 7,856 (87%) men did not receive mpMRI and 1,225 (13%) did. On multivariable median regression, receipt of mpMRI was associated with an additional $449 (95%CI $391-$507) in Medicare payments per year. Younger age, treatment in the west or northeast, greater population density and treatment later in the study period were associated with increased cost of AS. Conclusions: Among Medicare beneficiaries on AS, mpMRI is associated with additional annual cost to Medicare. MpMRI may be a marker of more stringent AS, which is likely more costly than watchful waiting. Future studies are needed to determine optimal use of mpMRI during AS to maximize value.
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Van, Jasper, Choongheon Yoon, Justin Glavis-Bloom, Michelle Bardis, Alexander Ushinsky, Daniel S. Chow, Peter Chang, et al. "Deep learning hybrid 3D/2D convolutional neural network for prostate MRI recognition." Journal of Clinical Oncology 37, no. 15_suppl (May 20, 2019): e16600-e16600. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e16600.
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e16600 Background: Prostate cancer is the most common cancer of men in the United States, with over 200,000 new cases diagnosed in 2018. Multiparametric MRI of the prostate (mpMRI) has emerged as valuable adjunct for the detection and characterization of prostate cancer as well as for guidance of prostate biopsy. As mpMRI progresses towards widespread clinical use, major challenges have been identified, arising from the need to increase accuracy of mpMRI localization of prostate lesions, improve in lesion categorization, and decrease the time and technical complexity of mpMRI evaluation by radiologists or urologists. Deep learning convolutional neural networks (CNN) for image recognition are becoming a more common method of machine learning and show promise in evaluation of complex medical imaging. In this study we describe a deep learning approach for automatic localization and segmentation of prostates organ on clinically acquired mpMRIs. Methods: This IRB approved retrospective review included patients who had a prostate MRI between September 2014 and August 2018 and an MR-guided transrectal biopsy. For each mpMRI the prostate was manually segmented by a board-certified abdominal radiologist on T2 weighted sequence. A hybrid 3D/2D CNN based on U-Net architecture was developed and trained using these manually segmented images to perform automated organ segmentation. After training, the CNN was used to produce prostate segmentations autonomously on clinical mpMRI. Accuracy of the CNN was assessed by Sørensen–Dice coefficient and Pearson coefficient. Five-fold validation was performed. Results: The CNN was successfully trained and five-fold validation performed on 411 prostate mpMRIs. The Sørensen–Dice coefficient from the five-fold cross validation was 0.87 and the Pearson correlation coefficient for segmented volume was 0.99. Conclusions: These results demonstrate that a CNN can be developed and trained to automatically localize and volumetrically segment the prostate on clinical mpMRI with high accuracy. This study supports the potential for developing an automated deep learning CNN for organ segmentation to replace clinical manual segmentation. Future studies will look towards prostate lesion localization and categorization on mpMRI.
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Mantica, Guglielmo, Nazareno Suardi, Salvatore Smelzo, Francesco Esperto, Francesco Chierigo, Stefano Tappero, Marco Borghesi, et al. "Are Urologists Ready for Interpretation of Multiparametric MRI Findings? A Prospective Multicentric Evaluation." Diagnostics 12, no. 11 (November 1, 2022): 2656. http://dx.doi.org/10.3390/diagnostics12112656.
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Aim: To assess urologists’ proficiency in the interpretation of multiparametric magnetic resonance imaging (mpMRI). Materials and Methods: Twelve mpMRIs were shown to 73 urologists from seven Italian institutions. Responders were asked to identify the site of the suspicious nodule (SN) but not to assign a PIRADS score. We set an a priori cut-off of 75% correct identification of SN as a threshold for proficiency in mpMRI reading. Data were analyzed according to urologists’ hierarchy (UH; resident vs. consultant) and previous experience in fusion prostate biopsies (E-fPB, defined as <125 vs. ≥125). Additionally, we tested for differences between non-proficient vs. proficient mpMRI readers. Multivariable logistic regression analyses (MVLRA) tested potential predictors of proficiency in mpMRI reading. Results: The median (IQR) number of correct identifications was 8 (6–8). Anterior nodules (number 3, 4 and 6) represented the most likely prone to misinterpretation. Overall, 34 (47%) participants achieved the 75% cut-off. When comparing consultants vs. residents, we found no differences in terms of E-fPB (p = 0.9) or in correct identification rates (p = 0.6). We recorded higher identification rates in urologists with E-fBP vs. their no E-fBP counterparts (75% vs. 67%, p = 0.004). At MVLRA, only E- fPB reached the status of independent predictor of proficiency in mpMRI reading (OR: 3.4, 95% CI 1.2–9.9, p = 0.02) after adjusting for UH and type of institution. Conclusions: Despite urologists becoming more familiar with interpretation of mpMRI, their results are still far from proficient. E-fPB enhances the proficiency in mpMRI interpretation.
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Pye, Hayley, Hashim Ahmed, Susan Heavey, Urszula Stopka-Farooqui, Edward Johnston, Ralph Schiess, Silke Gillessen, Shonit Punwani, Mark Emberton, and Hayley Whitaker. "Evaluation of Proclarix, a prostate cancer risk score, used together with magnetic resonance imaging for the diagnosis of clinically significant prostate cancer." Journal of Clinical Oncology 38, no. 6_suppl (February 20, 2020): 278. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.278.
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278 Background: The use of multi-parametric magnetic resonance imaging (mpMRI) has been a significant advance in the diagnosis of prostate cancer (PCa) recommended in a number of guidelines. There are considerable resource implications in scanning all men at risk of PCa. Furthermore, a significant number of mpMRIs are reported as indeterminate, leading to unnecessary biopsies. Proclarix is a CE-marked test based on two novel biomarkers, thrombospondin 1 (THBS1) and cathepsin D (CTSD), combined with PSA and age. A software algorithm returns a risk score that can be used as an aid in the identification of clinically significant PCa (any Grade Group 2 or greater). We aimed to assess the potential of Proclarix to identify those men who could safely avoid an upfront mpMRI or those men who could avoid biopsy when the mpMRI was indeterminate. Methods: Proclarix was correlated retrospectively with diagnostic data from 282 men recruited in the INNOVATE study (NCT02689271). INNOVATE involved men undergoing mpMRI followed by targeted and systematic biopsies in those with a suspicious mpMRI. Results: Median age and PSA were 66 (IQR 59-70) and 5.4 (3.8-7.8) ng/mL. 182 (65%) men underwent biopsy and 78 (43%) had GG≥2 PCa. Application of Proclarix in all 282 men undergoing mpMRI resulted in a sensitivity for clinically significant PCa (GG≥2) of 91%, a negative predictive value (NPV) of 92% and 38% specificity. When normalized to the same sensitivity of 91%, %fPSA resulted in both lower NPV (89%) and specificity (28%) when compared to Proclarix. 144 (51%) men had an indeterminate mpMRI of whom 84 (58%) had a biopsy and 13 (15%) had GG≥2 PCa. In these men, Proclarix had an NPV of 100%, at 100% sensitivity and a specificity of 34%. When results were compared using equal sensitivity, PSA density (cut-off 0.05 ng/mL), which is frequently used to inform the need for biopsy, had 10% specificity. Conclusions: The use of Proclarix could potentially allow 38% of men to avoid undergoing an mpMRI. In men with an indeterminate mpMRI, Proclarix could allow one-third to safely avoid biopsies without missing any clinically significant cancer.
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Karzai, Fatima, Ravi Amrit Madan, Adam G. Sowalsky, Marijo Bilusic, Guinevere Chun, Lisa M. Cordes, Scott C. Wilkinson, et al. "A tale of lineage plasticity: Intense neoadjuvant testosterone lowering therapy in localized prostate cancer (PCa) harboring high-risk genomic signatures." Journal of Clinical Oncology 38, no. 6_suppl (February 20, 2020): 368. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.368.
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368 Background: PCa is driven by androgen receptor (AR) signaling and neoadjuvant therapy with AR inhibitors offer an opportunity to improve cure rates in high-risk PCa particularly with utilization of multiparametric MRI (mpMRI). A loss of AR-regulated lineage characteristics and genomic loss of tumor suppressors RB1 and TP53 or mutations in DNA damage repair (DDR) genes can represent aggressive prostate variants. We conducted a feasibility study using mpMRI to evaluate tumor responses and resistance in newly diagnosed, high-risk PCa (NCT02430480). Methods: Pts were treated with androgen deprivation therapy (ADT) + enzalutamide (enza) 160 mg daily for 6 months (mos). Pts underwent 2 mpMRIs: baseline and post 6 mos treatment (trt). Post-trt mpMRI was followed by radical prostatectomy (RP). Primary endpoint: feasibility of mpMRI for localization and detection of PCa before and after ADT + enza. Results: 39 pts were enrolled on-study with 36 pts completing 6 mos trt and undergoing RP. Of 39 pts, 3 had disease progression. Conclusions: Neoadjuvant intense testosterone lowering therapy shows activity in PCa but a subset of pts not respond to AR-targeted therapies through lineage plasticity enabled by characteristic loss of RB1 and TP53 or due to genetic alterations. Identification of this high-risk patient population, along with development of treatment options, needs further investigation. Clinical trial information: NCT02430480. [Table: see text]
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Timsit, Marc-Olivier, Giulia Baciarello, Christophe Hennequin, Francois Kleinclauss, Marie Laure Bazil, Philippe Bonnard, Segolene Pettre, Blachier Martin, and Henri Leleu. "Effectiveness of early diagnosis for prostate cancer based on PSA and multiparametric MRI: A simulation study." Journal of Clinical Oncology 39, no. 6_suppl (February 20, 2021): 224. http://dx.doi.org/10.1200/jco.2021.39.6_suppl.224.
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224 Background: Multiparametric magnetic resonance imaging (mpMRI) detects ISUP grade≥ 2 prostate cancer (PC) with a sensitivity over 90%. mpMRI can be used for early detection in patients with a risk of clinically significant PC (csPC) either in combination with systematic biopsy (SB) to increase the detection rate of csPC, or to reduce the number of biopsy procedures by performing biopsies only in positive mpMRI patients. Methods: We estimated the numbers of PC diagnosed, PC deaths averted, and biopsy procedures performed with early diagnosis in a simulated population of men beginning at age 50 using a microsimulation model. The model simulates the natural history of PC and the impact of early diagnosis using epidemiological data from a systematic review of literature. Early diagnosis started at age 55 years, with a PSA threshold of 4 ng/mL. The strategies included (S1) SB alone, (S2) SB combined with mpMRI-targeted biopsy (SB/mpMRI-TB), and (S3) SB/mpMRI-TB following selection of patients based on positive mpMRI (PIRAD3-5) or PSA density (PSAd) < 0.15. A sensitivity of 0.92 and specificity of 0.48 for detecting ISUP grade ≥ 2 PC was used for mpMRI. Results: Compared to no early diagnosis, early diagnosis with SB alone (S1) was estimated to avoid 647 PC-related deaths per 100,000 men over their lifetimes. Using mpMRI was estimated to result in an additional 126 and 118 fewer deaths per 100,000 if mpMRI was used in conjunction with SB (S2) or with SB following patient selection for biopsy by mpMRI or PSAd (S3). To avoid a PC-related death was estimated to require screening of 145 men with SB alone, 121 with SB/mpMRI-TB, and 122 with mpMRI or PSAd followed by SB/mpMRI-TB. Adding mpMRI to SB was also found to reduce the predicted number of biopsies performed (21,821 for SB alone versus 16,510 for SB/mpMRI-TB and 15,385 for SB/mpMRI-TB following selection with mpMRI or PSAd). Conclusions: The results indicate that using mpMRI as a detection method will improve the effectiveness of early diagnosis. Compared to SB alone, using mpMRI through the SB/mpMRI-TB approach, with or without prior patient selection based on mpMRI or PSAd assessments, would result in a reduction in PC-related mortality and in the number of biopsies performed. [Table: see text]
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Salami, Simpa S., Jeremy B. Kaplan, Srinivas Nallandhighal, Mandeep Takhar, Jeffrey J. Tosoian, Matthew Lee, Junhee Yoon, et al. "Biologic Significance of Magnetic Resonance Imaging Invisibility in Localized Prostate Cancer." JCO Precision Oncology, no. 3 (December 2019): 1–12. http://dx.doi.org/10.1200/po.19.00054.
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PURPOSE Multiparametric magnetic resonance imaging (mpMRI) is used widely for prostate cancer (PCa) evaluation. Approximately 35% of aggressive tumors, however, are not visible on mpMRI. We sought to identify the molecular alterations associated with mpMRI-invisible tumors and determine whether mpMRI visibility is associated with PCa prognosis. METHODS Discovery and validation cohorts included patients who underwent mpMRI before radical prostatectomy and were found to harbor both mpMRI-visible (Prostate Imaging and Reporting Data System 3 to 5) and -invisible (Prostate Imaging and Reporting Data System 1 or 2) foci on surgical pathology. Next-generation sequencing was performed to determine differential gene expression between mpMRI-visible and -invisible foci. A genetic signature for tumor mpMRI visibility was derived in the discovery cohort and assessed in an independent validation cohort. Its association with long-term oncologic outcomes was evaluated in a separate testing cohort. RESULTS The discovery cohort included 10 patients with 26 distinct PCa foci on surgical pathology, of which 12 (46%) were visible and 14 (54%) were invisible on preoperative mpMRI. Next-generation sequencing detected prioritized genetic mutations in 14 (54%) tumor foci (n = 8 mpMRI visible, n = 6 mpMRI invisible). A nine-gene signature (composed largely of cell organization/structure genes) associated with mpMRI visibility was derived (area under the curve = 0.89), and the signature predicted MRI visibility with 75% sensitivity and 100% specificity (area under the curve = 0.88) in the validation cohort. In the testing cohort (n = 375, median follow-up 8 years) there was no significant difference in biochemical recurrence, distant metastasis, or cancer-specific mortality in patients with predicted mpMRI-visible versus -invisible tumors (all P > .05). CONCLUSION Compared with mpMRI-invisible disease, mpMRI-visible tumors are associated with underexpression of cellular organization genes. mpMRI visibility does not seem to be predictive of long-term cancer outcomes, highlighting the need for biopsy strategies that detect mpMRI-invisible tumors.
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Maganty, Avinash, Michelle Yu, Liam C. Macleod, Jonathan G. Yabes, Mina M. Fam, Jathin Bandari, Robert Turner, et al. "Increasing utilization of multi-parametric magnetic resonance imaging in prostate cancer active surveillance." Journal of Clinical Oncology 37, no. 7_suppl (March 1, 2019): 125. http://dx.doi.org/10.1200/jco.2019.37.7_suppl.125.
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125 Background: Multi-parametric resonance imaging (mpMRI) has emerged as a tool that may improve risk-stratification and decrease repeated biopsies in men electing active surveillance. However, the extent to which mpMRI has been implemented in active surveillance has not been established. Therefore, we sought to characterize the use of multiparametric magnetic resonance imaging (mpMRI) in Medicare beneficiaries electing active surveillance for prostate cancer. Methods: SEER-Medicare claims data, we identified men with localized prostate cancer diagnosed between 2008-2013 and managed with active surveillance. We classified men into two treatment groups: active surveillance without mpMRI and active surveillance with mpMRI. We then fit a multivariable logistic regression models to examine changing mpMRI utilization over time, and factors associated with the receipt of mpMRI. Results: We identified 9,467 men on active surveillance. Of these, 8,178 (86%) did not receive mpMRI and 1,289 (14%) received mpMRI. The likelihood of receiving mpMRI over the entire study period increased by 3.7% (p = 0.004). On multivariable logistic regression, patients who were younger, white, had lower comorbidity burden, lived in the northeast and west, had higher incomes and lived in more urban areas had greater odds of receiving mpMRI (all p < 0.05). Conclusions: From 2008-2013, use of mpMRI in active surveillance increased gradually but significantly. Receipt of mpMRI among men on surveillance for prostate cancer varied significantly across demographic, geographic and socioeconomic strata. Going forward, studies should investigate causes for this variation and define ideal strategies for equitable, cost-effective dissemination of mpMRI technology.
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Kumar, Abhishek, Dominic LaBella, Michael Snider, Scarlett Acklin-Wehnert, Rajan T. Gupta, Joseph Kamel Salama, and Matthew J. Boyer. "Impact of pre-treatment MRI capsular involvement and extraprostatic extension on metastasis free and overall survival in localized prostate cancer." Journal of Clinical Oncology 42, no. 16_suppl (June 1, 2024): 5097. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.5097.
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5097 Background: Multiparametric magnetic resonance imaging (mpMRI) is not currently included in prostate cancer (PC) staging. The purpose of this study was to test the association between mpMRI detected prostate capsule involvement and extraprostatic extension (EPE) with metastasis free survival (MFS) and overall survival (OS) in patients treated for localized PC. Methods: Patients treated for localized PC between 2000-2021 from the Veterans Affairs Prostate Data Core having an mpMRI prior to definitive treatment were identified. MRI reports were assessed for minor or significant capsule abutment (defined as greater than or equal to 1.5 cm of capsule contact or radiologist’s mention of long segment abutment), extracapsular extension (ECE), seminal vesicle invasion (SVI), or adjacent organ invasion (OI). mpMRI findings' impact on MFS by multivariable Fine-Gray competing-risks regression and OS by Cox regression were assessed. Results: Overall, 2,933 patients were included. Most pre-treatment mpMRIs (85%) occurred after 2016. 1,238 (42%) patients were Black. 569 (19%) patients had palpable disease. Median follow-up was 5 years. The 5-year cumulative incidence of metastasis was 10% (95% confidence interval (CI) 9-11%) and death was 7% (95% CI 6-9%). There were 643 (22%) patients with minor capsule abutment, 212 (7%) with significant capsule abutment, 281 (10%) with ECE, 103 (4%) with SVI, and 25 (1%) with OI. After controlling for age, race, prostate specific antigen level, grade group, clinical tumor stage, and treatment, the presence of significant capsule abutment, ECE, SVI, and OI were independently associated with MFS, but minor capsule abutment was not. On multivariable analysis controlling for the same factors, EPE (ECE, SVI, or OI) was associated with worse OS. Conclusions: In a modern, real-world cohort of localized PC patients from the largest integrated health system in the United States, significant capsule abutment and EPE on mpMRI are independently prognostic of MFS, but minor capsular abutment is not. EPE is associated with inferior OS. Given its independent prognostic value for MFS and association with OS, mpMRI should be more widely available to PC patients. Studies are ongoing to define its role as a standard staging tool. [Table: see text]
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Lashay, Alireza, Jafar Gholivandan, Yaghoob Sehri, Amirreza Elahian, and Mahyar Ghafari. "Correlation Between mpMRI Staging and Final Surgical Pathology in Prostate Cancer." Journal of Molecular Biology Research 10, no. 1 (March 31, 2020): 6. http://dx.doi.org/10.5539/jmbr.v10n1p6.
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Purpose: We evaluated the role of multiparametric magnetic resonance imaging (mpMRI) in the diagnosis of prostate cancer and predicting of surgical staging of prostate cancer.
Materials and Methods: The study was done in 110 subjects who got mpMRI before radical prostatectomy in our hospital from 2016 to 2019. Preoperative mpMRI findings of 110 were compared to surgical pathology results following radical Prostatectomy. A comparison was made between pathologic staging of prostate cancer and the mpMRI findings.
Results: pathologic evaluation confirmed prostate cancer foci (237) were recognized in 110 subjects. Generally, mpMRI sensitivity of 46.4% was found for prostate cancer detection (110/237). Pathological tumor volume was a significant predictor of prostate cancer detection using mpMRI. In 33% of the cases, the pathologic staging is precisely similar to mpMRI and in 43%of the cases, there was a slight difference between the pathologic staging and staging by mpMRI but the cancer was confined to the prostate.in 24% of the cases, there was a significant difference between the pathologic staging and staging by mpMRI. The mpMRI was not able to identify the significant cancer in 24% of the cases.
Conclusion: The preoperative mpMRI was useful in detecting prostate cancer and in predicting surgical staging. However, the detection of 24% of clinically significant cancer was missed using mpMRI. As we move toward personalized medicine, use of MRI to biopsy each man's prostate differently rather than based on a pre-defined 12 core seems to be supported in the recent literature.
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Kovac, Evan, Andrei Purysko, J. Stephen Jones, Cristina Magi-Galluzzi, Eric A. Klein, and Andrew J. Stephenson. "Utility of prostate multiparametric MRI (mpMRI) for recurrent prostate cancer after radiation therapy and cryotherapy." Journal of Clinical Oncology 34, no. 2_suppl (January 10, 2016): 71. http://dx.doi.org/10.1200/jco.2016.34.2_suppl.71.
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71 Background: We evaluated the accuracy of mpMRI for identifying locally recurrent prostate cancer after primary radiotherapy and cryotherapy. Methods: Between 2009-2015, 61 patients with evidence of rising PSA after external-beam radiotherapy (EBRT) (N = 33), brachytherapy (N = 6), and cryotherapy (N = 22) were evaluated for locally recurrent prostate cancer with mpMRI and prostate biopsy. Of these patients, 6 (10%) received androgen deprivation therapy (ADT) in combination with EBRT for a median of 24 months. Three of the cryotherapy patients received prior EBRT. Patients were identified from a prospective mpMRI database. All patients with a lesion of interest (LOI) underwent a ≥ 12-core, post-mpMRI cognitive fusion prostate biopsy. We excluded 16 patients with mpMRI who did not undergo prostate biopsy (5 positive, 11 negative). Results: Median age was 70 (IQR: 64-77). The median time from primary treatment to mpMRI was 5 years (IQR: 3-9) and the median PSA at mpMRI was 3.6 ng/mL (IQR: 2.1-5.5). Median prostate volume was 18.8 cc (IQR: 11.0-28.0 cc). mpMRI revealed lesions of interest (LOI) in 39 (64%) and 41 (67%) had biopsy-proven local recurrence. Of the 22 patients with negative mpMRI, 8 (36%) had a positive biopsy, with a median prostate volume of 19 cc, median maximum cancer length of 5 mm, median PSA of 2.5 and biopsy Gleason scores 3+3 (N = 1), 4+3 (N=2), 5+4 (N = 1), 5+5 (N = 1) and ungraded due to treatment effect (N = 3). Of the 39 patients with LOI on mpMRI, 33 (85%) had a positive biopsy. Table 1 summarizes the mpMRI and biopsy results. The sensitivity, specificity, PPV and NPV of mpMRI to predict cancer diagnosis at biopsy was 80.5%, 70.0%, 84.6% and 63.6%, respectively. On univariate analysis, gland size (p=0.367), PSA (p=0.872), biopsy Gleason score (p=0.892) and primary treatment modality (p=0.177) did not significantly predict discrepancy between mpMRI and biopsy findings. Conclusions: mpMRI reliably identifies prostate cancer recurrence after primary radiation therapy and cryoablation. [Table: see text]
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Lourenço, Mario, Pedro Pissarra, Duarte Vieira E Brito, Miguel Eliseu, Joao Pedro Peralta, Arnaldo Figueiredo, and Cristina Marques. "Lesion location agreement between prostatic multiparametric magnetic resonance, cognitive fusion biopsy and radical prostatectomy piece." Archivio Italiano di Urologia e Andrologia 91, no. 4 (January 13, 2020): 218–23. http://dx.doi.org/10.4081/aiua.2019.4.218.
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Introduction: Prostatic multiparametric magnetic resonance (mpMRI) allows for guided prostate biopsy (PB).Objective: To evaluate localization agreement between mpMRI lesions and histology obtained by cognitive PB and radical prostatectomy (RP) surgical specimen (SS). Methods: Out of 115 consecutive cognitive biopsied patients, 37 with positive PB were studied. Sample was characterized regarding age, prostatic volume, PI-RADS, location of lesion on mpMRI, lesion dimension, total number of fragments obtain by PB, number of fragments directed to the lesion, number of fragments with prostatic adenocarcinoma (PCa) and ISUP classification. The relationship between mpMRI and SS piece was analysed in 15 patients who underwent RP. Results: Regarding agreement between mpMRI and PB, agreement of location was observed in 26 (70.3%); 7 (18.9%) presented PCa positive fragments in the suspected zone plus others in the same lobe; 3 (8.1%) in the suspected zone plus the contralateral lobe and 1 (2.7%) had no PCa in the suspected zone but had bilateral PCa. The total number of fragments with PCa was lower in cases with agreement between mpMRI and PB (p < 0.05). Regarding agreement between mpMRI and SS, 5 cases (33.3%) presented the same location as described by mpMRI, 5 (33.3%) showed ipsilateral lesions in other zones of the prostate; 4 (26.7%) presented extensive bilateral lesions on all prostate zones and 1 (6.7%) showed previously unknown contralateral lesions. None of the factors studied related mpMRI and RP (p > 0.05). Conclusions: Localization agreement of mpMRI vs PB and mpMRI vs SS was present in 26/37 (70.3%) and 5/15 (33.3%), respectively. That suggests the existence of other lesions (multifocality) not identified on mpMRI.
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Grey, Alistair, Rebecca Scott, Bina Shah, Peter Acher, Sidath Liyanage, Menelaos Pavlou, Rumana Omar, et al. "The CADMUS trial: A paired cohort, blinded study comparing multiparametric ultrasound targeted biopsies with multiparametric MRI targeted biopsies in the detection of clinically significant prostate cancer." Journal of Clinical Oncology 39, no. 15_suppl (May 20, 2021): 5008. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.5008.
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5008 Background: Multiparametric MRI (mpMRI) of the prostate followed by targeted biopsy is recommended in men at risk of prostate cancer. Dissemination of this pathway may be limited by cost, variable scan and reporting quality, and contraindicated in the presence of metallic implants and claustrophobia. Multi-parametric ultrasound (mpUSS) is a point of care test with low cost that combines b-mode, colour Doppler, elastography and contrast enhancement. CADMUS compared the diagnostic performance of mpUSS to mpMRI. Methods: CADMUS recruited 370 patients from seven sites to a prospective, multicentre, paired-cohort trial (ISRCTN 38541912). Ethics committee approval was obtained. Patients underwent both mpUSS and mpMRI independently, each with a positive test defined as a Likert score of >3. Those with either a positive mpUSS or mpMRI, or both, were advised to undergo targeted biopsies. Reporting of each scan was carried out blind to the other and prior to biopsy; patients advised for biopsy were blinded to which test was positive. The order of mpUSS and mpMRI targeting was randomised. Primary outcomes were proportion of positive tests and detection of clinically significant cancer (csPCa) defined as Gleason >4+3 of any length and/or maximum cancer core length of >6mm of any grade [PROMIS definition1]. Results: 306 completed both mpUSS and mpMRI. Agreement in lesion detection between mpUSS and mpMRI was 73.2% (kappa 0.06, p = 0.14). 257 with positive results on mpUSS, mpMRI or both had targeted biopsies. Agreement on detection of csPCa was 91.1% (expected 59.8%, kappa 0.78, p < 0.01). Overall, mpUSS detected 4.3% fewer csPCa than mpMRI (95% CI = [-8.3%, -1.5%]; p = 0.042 [Bonferroni correction]). mpUSS detected 7.2% (6/83) csPCa missed by mpMRI; mpMRI detected 20.5% (17/83) csPCa that mpUSS missed. At a less stringent definition of significant cancer, Gleason grade >3+4 of any length (definition 3), agreement was 89.1% (expected 55.6%, kappa 0.75, p < 0.01) mpUSS detected 5.4% fewer definition 3 cancers than mpMRI overall. mpUSS detected 7% (7/99) definition 3 cancers that mpMRI missed; mpMRI detected 21% (21/99) definition 3 cancers that mpUSS missed. Conclusions: The CADMUS trial shows mpUSS has a diagnostic performance approaching that of mpMRI and significant cancer detection is improved by the use of both scans over mpMRI alone. Clinical trial information: 38541912. [Table: see text]
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Venkatramani, Vivek, Bruno Nahar, Tulay Koru-Sengul, Nachiketh Soodana-Prakash, Mark L. Gonzalgo, Chad Ritch, Dipen Parekh, and Sanoj Punnen. "Screening for aggressive prostate cancer: A single-center experience using the 4Kscore and multiparametric MRI for the detection of Gleason 7 or higher prostate cancer." Journal of Clinical Oncology 35, no. 6_suppl (February 20, 2017): 84. http://dx.doi.org/10.1200/jco.2017.35.6_suppl.84.
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84 Background: While non-invasive biomarkers and multi-parametric MRI (mpMRI) are routinely used for prostate cancer detection, few studies have assessed their performance together. We evaluated the performance of mpMRI and the 4Kscore for the detection of significant prostate cancer. Methods: We identified a consecutive series of men who underwent an mpMRI and 4Kscore for evaluation of prostate cancer at the University of Miami. We selected those who underwent a biopsy of the prostate. The primary outcome was the presence of Gleason 7 or higher cancer on biopsy. The 4Kscore was modeled as a continuous variable, but also categorized into low ( < 7.5%), intermediate (7.5-20%), and high ( > 20) risk scores. The mpMRI was categorized as being either negative or positive for a suspicion of cancer. We used logistic regression and Decision Curve Analysis to report the discrimination and clinical utility of using mpMRI and the 4Kscore for prostate cancer detection. Finally, we modeled the probability of harboring a Gleason 7 or higher prostate cancer based on various categories of the 4Kscore and mpMRI. Results: Among 235 men who underwent a 4Kscore and mpMRI, only 112 (52%) were referred for a biopsy, allowing a significant proportion of men to avoid a biopsy. Among those who had a biopsy, the AUC for using the 4Kscore and mpMRI together [0.81(0.72-0.90)] was superior to using the 4Kscore [0.71(0.61-0.81);p = 0.004] and mpMRI [0.74(0.65-0.83);p = 0.02] alone. Similarly, decision curve analysis revealed the highest net benefit for using both tests together, compared to either test alone. Finally, we found that having a positive mpMRI was a predictor of aggressive cancer in the higher two 4Kscores, but not in the lowest category, suggesting that men with a low 4Kscore may not benefit from getting an mpMRI, most likely due to the low likelihood of cancer and having a positive mpMRI. Conclusions: The 4Kscore and mpMRI provides independent, but complementary, information to enhance the prediction of aggressive prostate cancer. Prospective trials are required to confirm these findings.
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Jager, Auke, Jorg R. Oddens, Arnoud W. Postema, Razvan L. Miclea, Ivo G. Schoots, Peet G. T. A. Nooijen, Hans van der Linden, et al. "Is There an Added Value of Quantitative DCE-MRI by Magnetic Resonance Dispersion Imaging for Prostate Cancer Diagnosis?" Cancers 16, no. 13 (July 1, 2024): 2431. http://dx.doi.org/10.3390/cancers16132431.
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In this multicenter, retrospective study, we evaluated the added value of magnetic resonance dispersion imaging (MRDI) to standard multiparametric MRI (mpMRI) for PCa detection. The study included 76 patients, including 51 with clinically significant prostate cancer (csPCa), who underwent radical prostatectomy and had an mpMRI including dynamic contrast-enhanced MRI. Two radiologists performed three separate randomized scorings based on mpMRI, MRDI and mpMRI+MRDI. Radical prostatectomy histopathology was used as the reference standard. Imaging and histopathology were both scored according to the Prostate Imaging-Reporting and Data System V2.0 sector map. Sensitivity and specificity for PCa detection were evaluated for mpMRI, MRDI and mpMRI+MRDI. Inter- and intra-observer variability for both radiologists was evaluated using Cohen’s Kappa. On a per-patient level, sensitivity for csPCa for radiologist 1 (R1) for mpMRI, MRDI and mpMRI+MRDI was 0.94, 0.82 and 0.94, respectively. For the second radiologist (R2), these were 0.78, 0.94 and 0.96. R1 detected 4% additional csPCa cases using MRDI compared to mpMRI, and R2 detected 20% extra csPCa cases using MRDI. Inter-observer agreement was significant only for MRDI (Cohen’s Kappa = 0.4250, p = 0.004). The results of this study show the potential of MRDI to improve inter-observer variability and the detection of csPCa.
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Jia, Yuzhu, Yibo Ying, and Jianju Feng. "Multi-Parameter Magnetic Resonance Imaging Fusion Technology Assists in Bone Diagnosis and Rehabilitation of Prostate Cancer." Journal of Medical Imaging and Health Informatics 11, no. 6 (June 1, 2021): 1753–60. http://dx.doi.org/10.1166/jmihi.2021.3700.
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Multi-parameter magnetic resonance imaging has been widely used in the diagnosis and evaluation of prostate cancer, and has important guiding significance for clinical diagnosis of prostate cancer and their treatment. This article studies the value of transrectal multiparametric ultrasound (mpUSS) in the diagnosis of clinically meaningful prostate cancer. 102 patients with high risk factors for prostate cancer were examined by mpUSS and mpMRI. The transrectal biopsy (SB) results of the prostate system were regarded as the excellent standard, and the diagnostic value of mpUSS, mpMRl and mpUSS combined with mpMRl examination for clinically meaningful prostate cancer was analyzed. The results showed that 58 of the 102 patients with SB were diagnosed with prostate cancer. Among them, 43 cases were detected by mpUSS, 50 cases were detected by mpMRl, 42 cases were detected by mpUSS combined with mpMRI (series), and 56 cases were detected by mpUSS combined with mpMRl (parallel). Grouped by Gleason score, the detection rate of mpUSS for clinically significant prostate cancer was 83.74%, and the detection rate of mpMRl was 93.5%. The comparison between the two was not statistically significant (P > 0.05), but when the two inspection methods were combined. The detection rate was 97.8%, which was significantly higher than the two inspection methods alone. Therefore, we conclude that mpUSS can be used as an imaging test for the diagnosis of prostate cancer. In addition, mpUSS has a high application value in the diagnosis of prostate cancer. The detection rate of mpUSS combined with mpMRl examination for clinically meaningful prostate cancer is significantly higher than that of mpMRl examination alone, which can be used as a diagnostic technique for early diagnosis of meaningful prostate cancer and can be used as a guide clinicians’ early diagnosis and treatment of meaningful prostate cancer.
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Cantiello, Francesco, Stefano Manno, Giorgio I. Russo, Sebastiano Cimino, Salvatore Privitera, Giuseppe Morgia, Antonio Cicione, and Rocco Damiano. "Latest Evidence on the Role of Multiparametric Magnetic Resonance Imaging in Active Surveillance for Insignificant Prostate Cancer: A Systematic Review." Anti-Cancer Agents in Medicinal Chemistry 18, no. 7 (November 30, 2018): 925–30. http://dx.doi.org/10.2174/1871520618666180105105413.
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Objective: Multiparametric Magnetic Resonance Imaging (mpMRI) has become a very useful tool in the management of PCa. Particularly, there is a great interest in using mpMRI for men on Active Surveillance (AS) for low risk PCa. The aim of this systematic review was to critically review the latest literature concerning the role of mpMRI in this clinical setting, underlying current strengths and weakness. Evidence Acquisition: A comprehensive literature research for English-language original and review articles was carried out using the National Center for Biotechnology Information PubMed database with the aim to identify studies pertaining to mpMRI for AS in low risk PCa patients. The following search terms were used: active surveillance, prostate cancer and multiparametric magnetic resonance imaging. Evidence Synthesis: Data from 28 recent original studies and reviews were reviewed. We only considered studies on the use of mpMRI in selecting AS patients and during AS follow-up, in order to solve two important questions: -Can mpMRI have a role in improving the detection of clinically significant disease, better selecting AS patients? -Can mpMRI identify the progression of disease and, consequently, be used during AS follow-up? Conclusions: mpMRI is useful to better select the ideal candidates to AS and to monitor them during follow-up. However, despite many advantages, there are yet important limitations to detect all clinically significant PCa and to better define mpMRI-radiological progression during AS. Further larger prospective studies are needed to definitively solve these important problems.
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Sonni, Ida, Sahith Doddipalli, Madhvi Deol, David Ban, Hye Ok Kim, Tristan Grogan, Preeti Ahuja, et al. "PSMA PET/CT and mpMRI discrepancies in prostate cancer detection with whole-mount histopathology gold standard." Journal of Clinical Oncology 42, no. 4_suppl (February 1, 2024): 284. http://dx.doi.org/10.1200/jco.2024.42.4_suppl.284.
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284 Background: Multiparametric MRI (mpMRI) and PSMA-PET are complementary imaging modalities used in the pre-surgical evaluation of patients with prostate cancer (PCa). The aim of this study was to evaluate the imaging and pathology parameters associated with PSMA-PET and mpMRI disagreement with each other and with gold standard histopathology. Methods: Patients undergoing radical prostatectomy (RP) with pre-surgical PSMA-PET and mpMRI were screened for inclusion in this retrospective analysis. Patients had the imaging scans done <3 months from each other, and whole mount histopathology (WMHP) slides available. Two nuclear medicine physicians and 2 radiologists independently contoured PCa lesions on PSMA-PET and mpMRI, respectively. A consensus read was done with a third reader for each modality, and a majority rule was applied (2:1). Quantitative measures were extracted on a lesion-basis (SUVmean, SUVmax, tumor volume). A PET/MRI fusion was obtained, and agreement/disagreement was assessed visually, based on the overlapping lesion contours. WMHP slides were used to establish the disagreement of imaging-identified lesions with the gold standard pathology. Independent samples t-test and one-way ANOVA were used to assess group differences. Univariable and multivariable logistic regression models were used to assess the association of clinical, pathological, and imaging variables with PSMA-PET and mpMRI agreement/disagreement with each other and with pathology. Results: The cohort included 114 patients, and 175 pathology lesions were identified (ISUP 3, n=22; ISUP>3, n=153). mpMRI and PSMA PET identified 138 and 170 lesions, respectively. Sensitivity for ISUP>3 lesions was 79% and 87% for mpMRI and PSMA-PET, respectively. 115/153 (76%) ISUP> 3 lesions were correctly identified, and 14/153 (9%) were missed by both imaging modalities, respectively. 5/153 (3%) were correctly identified by mpMRI and missed by PSMA-PET, 17/153 (11%) were correctly identified by PSMA-PET and missed by mpMRI. Lesion’s ISUP grade group and size on pathology were significantly lower in mpMRI- compared to mpMRI+ and in PET- compared to PET+ lesions. SUVmax and SUVmean were significantly higher in PET+/MRI+ than PET+/MRI- lesions. Lesion’s ISUP grade group and size were significantly correlated to PSMA-PET and mpMRI agreement, whereas PSMA-PET metrics were not. Logistic regression model showed that lesions with lower ISUP, smaller size, and lack of aggressive prostate cancer features on pathology (cribriform pattern and intraductal carcinoma) have higher likelihood of being missed by PET and mpMRI and of PET/MRI disagreement. Conclusions: Higher SUVmax, SUVmean, and tumor volume on PSMA-PET were associated with a TP finding on PSMA-PET, higher ISUP grade group and size on pathology were associated with a TP finding on both PSMA-PET and mpMRI, and with agreement between PSMA-PET and mpMRI.
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Karakoishin, K., Zh Zholdybay, A. Aynakulova, D. Toleshbaev, Zh Amankulov, Zh Zhakenova, A. Beisen, A. Kabidenov, and N. Kashaev. "THE CURRENT ROLE OF MULTIPARAMETRIC MRI IN THE DIAGNOSIS OF PROSTATE CANCER: A LITERATURE REVIEW." Oncologia i radiologia Kazakhstana 64, no. 2 (June 30, 2022): 66–72. http://dx.doi.org/10.52532/2521-6414-2022-2-64-66-72.
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Relevance: Multiparametric MRI (mpMRI) is one of the main methods for diagnosing prostate cancer (PCa). Although mpMRI has been adopted into routine urological and oncological practice in a few short years, there are conflicting views on the timing of mpMRI.
The purpose was to study the diagnostic value and role of mpMRI at the stages of diagnosis of prostate cancer.
Methods: The article reviews the literature on the use of mpMRI in diagnosing prostate cancer in the framework of traditional clinical approaches.
Results: current national guidelines in Europe emphasize the value of mpMRI in diagnosing patients with suspected PCa. The rationale for
using mpMRI in selecting patients with suspected PCa who should and should not be biopsied and selecting areas of the prostate for biopsy is
compelling. The evidence base, including level 1 studies, is overwhelming, as are arguments for patient benefit in avoiding biopsy or overdiagnosis
of clinically insignificant cancer.
Conclusion: Patients considering biopsy start to realize that mpMRI imaging can avoid biopsy in some cases and make it more targeted in
others. For obvious reasons, these patients will seek to avoid the risk of biopsy or minimize the risk with fewer biopsy specimens. Switching from
“standard” SB to TB judiciously and selectively augmented with BD using a two-stage risk assessment offers the best compromise to reduce biopsy
rates and reduce overdiagnosis of cnPCa while minimizing the chances of missing clinically significant cancer. Evidence that it is possible to avoid
SB altogether, even in the era of mpMRI before biopsy, is weak. This provides grounds for searching for new methods for diagnosing clinically
significant cancer using mpMRI
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Norris, Joseph M., Lina M. Carmona Echeverria, Benjamin S. Simpson, Rhys Ball, Alex Freeman, Daniel Kelly, Alex Kirkham, Hayley C. Whitaker, and Mark Emberton. "Histopathological features of prostate cancer conspicuity on multiparametric MRI: protocol for a systematic review and meta-analysis." BMJ Open 10, no. 10 (October 2020): e039735. http://dx.doi.org/10.1136/bmjopen-2020-039735.
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IntroductionMultiparametric MRI (mpMRI) has improved risk stratification for men with suspected prostate cancer. Indeed, mpMRI-visible tumours tend to be larger and of higher pathological grade than mpMRI-invisible tumours; however, concern remains around significant cancer that is undetected by mpMRI. There has been considerable recent interest to investigate whether tumour conspicuity on mpMRI is associated with additional histopathological features (including cellular density, microvessel density and unusual prostate cancer subtypes), which may have important clinical implications in both diagnosis and prognosis. Furthermore, analysis of these features may help reveal the radiobiology that underpins the actual mechanisms of mpMRI visibility (and invisibility) of prostate tumours. Here, we describe a protocol for a systematic review of the histopathological basis of prostate cancer conspicuity on mpMRI.Methods and analysisA systematic search of the MEDLINE, PubMed, Embase and Cochrane databases will be conducted. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines will be used to guide screening, thematic reporting and conclusions drawn from all eligible studies. Included papers will be full-text, English-language articles, comparing the histopathological characteristics of mpMRI-visible lesions and mpMRI-invisible tumours. All studies published between January 1950 and January 2020 will be eligible for inclusion. Studies using confirmatory immunohistochemistry for the identification of immune subsets or structural components will be included. Study bias and quality will be assessed using a modified Newcastle-Ottawa scale. To ensure methodological rigour, this protocol is written in accordance with the PRISMA Protocol 2015 checklist. If appropriate, a meta-analysis will be conducted comparing histopathological feature frequency between mpMRI-visible and mpMRI-invisible disease.Ethics and disseminationNo ethical approval will be required as this is an academic review of published literature. Findings will be disseminated through publications in peer-reviewed journals and presentations at national and international conferences.PROSPERO registration numberCRD42020176049
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Zattoni, Fabio, Silvio Maresca, Fabrizio Dal Moro, Iliana Bednarova, Gianmarco Randazzo, Giovanni Basso, Giuseppe Reitano, Gianluca Giannarini, Chiara Zuiani, and Rossano Girometti. "Abbreviated Versus Multiparametric Prostate MRI in Active Surveillance for Prostate-Cancer Patients: Comparison of Accuracy and Clinical Utility as a Decisional Tool." Diagnostics 13, no. 4 (February 4, 2023): 578. http://dx.doi.org/10.3390/diagnostics13040578.
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(1) Purpose: To compare the diagnostic accuracy between full multiparametric contrast-enhanced prostate MRI (mpMRI) and abbreviated dual-sequence prostate MRI (dsMRI) in men with clinically significant prostate cancer (csPCa) who were candidates for active surveillance. (2) Materials and Methods: Fifty-four patients with a diagnosis of low-risk PCa in the previous 6 months had a mpMRI scan prior to a saturation biopsy and a subsequent MRI cognitive transperineal targeted biopsy (for PI-RADS ≥ 3 lesions). The dsMRI images were obtained from the mpMRI protocol. The images were selected by a study coordinator and assigned to two readers blinded to the biopsy results (R1 and R2). Inter-reader agreement for clinically significant cancer was evaluated with Cohen’s kappa. The dsMRI and mpMRI accuracy was calculated for each reader (R1 and R2). The clinical utility of the dsMRI and mpMRI was investigated with a decision-analysis model. (3) Results: The dsMRI sensitivity and specificity were 83.3%, 31.0%, 75.0%, and 23.8%, respectively, for R1 and R2. The mpMRI sensitivity and specificity were 91.7%, 31.0%, 83.3%, and 23.8%, respectively, for R1 and R2. The inter-reader agreement for the detection of csPCa was moderate (k = 0.53) and good (k = 0.63) for dsMRI and mpMRI, respectively. The AUC values for the dsMRI were 0.77 and 0.62 for the R1 and R2, respectively. The AUC values for the mpMRI were 0.79 and 0.66 for R1 and R2, respectively. No AUC differences were found between the two MRI protocols. At any risk threshold, the mpMRI showed a higher net benefit than the dsMRI for both R1 and R2. (4) Conclusions: The dsMRI and mpMRI showed similar diagnostic accuracy for csPCa in male candidates for active surveillance.
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Sonni, Ida, Ely Felker, Andrew Thomas Lenis, Anthony E. Sisk, Shadfar Bahri, Martin S. Auerbach, Wesley R. Armstrong, et al. "Head-to-head comparison of 68Ga-PSMA-11 PET/CT and mpMRI in the detection, intra-prostatic localization, and local extension of primary prostate cancer: A single-center imaging study with histopathology gold-standard." Journal of Clinical Oncology 39, no. 6_suppl (February 20, 2021): 193. http://dx.doi.org/10.1200/jco.2021.39.6_suppl.193.
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193 Background: The local staging of prostate cancer relies on systematic or targeted biopsies and multiparametric magnetic resonance imaging (mpMRI). The role of prostate-specific membrane antigen (PSMA)-targeted PET in the evaluation of intraprostatic cancer foci and T-staging assessment is not well defined. The goal of this analysis was to compare the diagnostic performance of PSMA PET/CT, mpMRI and the combination of the two (PSMA PET/CT+mpMRI) in the detection, intra-prostatic localization and local extension of primary prostate cancer with histopathology as the gold standard.Methods: Patients with intermediate- or high-risk prostate cancer underwent a PSMA PET/CT scan and mpMRI prior to intended radical prostatectomy. Each imaging modality was interpreted by 3 blinded independent readers. A majority rule was applied (2:1). A standardized approach was used to assess presence, location and size of prostate cancer foci within the prostate. The analysis was conducted on a lesion- and segment-level. Whole mount pathology was interpreted by a Genito-Urinary pathologist using the same standardized method described above. Accuracy in determining the location, extra-capsular extension (ECE) and seminal vesicle invasion (SVI) of prostate cancer foci were assessed using receiver operating characteristic (ROC) analysis. A “raw-stringent” and “neighboring” approach were used to define imaging/pathology correlation for the detection of individual prostate cancer foci. Results: The final analysis included 74 patients. Detection rate was 75%, 79% and 82% using the “raw-stringent” approach, 86%, 83% and 87% using the “neighboring” approach for PSMA PET/CT, mpMRI and PSMA PET/CT+mpMRI, respectively. Differences in detection rates between PSMA PET/CT, mpMRI and PSMA PET/CT+mpMRI were not statistically significant. The two imaging modalities performed similarly (AUC = 0.70 vs 0.73, p = 0.09; AUC = 0.77 for the two together) in localizing prostate cancer. ΔAUC between PSMA PET/CT+mpMRI and the two imaging modalities alone was statistically significant (p < 0.001), but not between PSMA PET/CT and mpMRI (p = 0.093). mpMRI performed better than PSMA PET/CT in the T-staging assessment: ECE (AUC = 0.79 vs 0.59, p = 0.002) and SVI (AUC = 0.84 vs 0.63, p = 0.001). Conclusions: PSMA PET/CT and mpMRI have similar diagnostic accuracy in the detection and intra-prostatic localization of prostate cancer foci while mpMRI performs better in the assessment of ECE and SVI. The combination of the two imaging modalities improves performance of the two modalities alone, but this does not reach statistically significant levels on a lesion-level and might not justify changes in the current practices for local staging of prostate cancer.
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Brown, Judy, Masoom A. Haider, Jospeh L. K. Chin, Nauthan Perlis, Nicola Schieda, and Andrew Loblaw. "Evidence-based guideline recommendations on multiparametric magnetic resonance imaging in the diagnosis of clinically significant prostate cancer: A Cancer Care Ontario updated clinical practice guideline." Canadian Urological Association Journal 16, no. 2 (January 27, 2022): 16–23. http://dx.doi.org/10.5489/cuaj.7425.
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Introduction: This clinical practice guideline is based on a systematic review to assess the use of multiparametric magnetic resonance imaging (mpMRI) in the diagnosis of clinically significant prostate cancer (csPCa) for biopsy-naive men and men with a prior negative transrectal ultrasound-guided systematic biopsy (TRUS-SB) at elevated risk. Methods: The methods of the clinical practice guideline included searches to September of 2020 of MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials. Internal and external reviews were conducted. Results: The recommendations are: Recommendation 1: For biopsy-naive patients at elevated risk of csPCa, mpMRI is recommended prior to biopsy in patients who are candidates for curative management with suspected clinically localized prostate cancer. - If the mpMRI is positive, mpMRI-targeted biopsy (TB) and TRUS-SB should be performed together to maximize detection of csPCa. - If the mpMRI is negative, consider forgoing any biopsy after discussion of the risks and benefits with the patient as part of shared decision-making and ongoing followup. Recommendation 2: In patients who had a prior negative TRUSSB and demonstrate a high risk of having csPCa in whom curative management is being considered: - mpMRI should be performed. - If the mpMRI is positive, targeted biopsy should be performed. Concomitant TRUS-SB can be considered depending on the patient’s risk profile and time since prior TRUS-SB biopsy. - If the mpMRI is negative, consider forgoing a TRUS-SB only after discussion of the risks and benefits with the patient as part of shared decision-making and ongoing followup. Recommendation 3: mpMRI should be performed and interpreted in compliance with the current Prostate Imaging Reporting & Data System (PI-RADS) guidelines.
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Boesen, Lars, Nis Nørgaard, Vibeke Løgager, Ingegerd Balslev, and Henrik S. Thomsen. "Multiparametric MRI in men with clinical suspicion of prostate cancer undergoing repeat biopsy: a prospective comparison with clinical findings and histopathology." Acta Radiologica 59, no. 3 (July 5, 2017): 371–80. http://dx.doi.org/10.1177/0284185117718400.
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Background Multiparametric magnetic resonance imaging (mpMRI) can improve detection of clinically significant prostate cancer (csPCa). Purpose To compare mpMRI score subgroups to systematic transrectal ultrasound-guided biopsies (TRUSbx) and prostate-specific antigen (PSA)-based findings for detection of csPCa in men undergoing repeat biopsies. Material and Methods MpMRI was performed prior to re-biopsy in 289 prospectively enrolled patients. All underwent repeat TRUSbx followed by targeted biopsies (MRITB) of any mpMRI-identified lesion. MpMRI suspicion grade, PSA level, and density (PSAd) were compared with biopsy results and further matched to the radical prostatectomy (RP) specimen if available. Results PCa was detected in 128/289 (44%) patients with median age, PSA, and prior negative TRUSbx of 64 (interquartile range [IQR] = 59–67), 12.0 ng/mL (IQR = 8.3–19.1), and 2 (IQR = 1–3), respectively. TRUSbx detected PCa in 108/289 (37%) patients, of which 49 (45%) had insignificant cancer. MRITB was performed in 271/289 (94%) patients and detected PCa in 96 (35%) with 78 (81%) having csPCa. MpMRI scores showed a high association between suspicion level and biopsy results on both lesion and patient level ( P < 0.001). MpMRI was better than PSA and PSAd ( P < 0.001) to identify patients with missed csPCa. In total, 64/128 (50%) patients underwent RP; 60/64 had csPCa. MpMRI was significantly better in predicting csPCa on RP compared with TRUSbx ( P = 0.019) as MRITB and TRUSbx correctly identified 47/60 (78%) and 35/60 (58%) patients, respectively. Conclusion MpMRI improves detection of missed csPCa and suspicion scores correlate well with biopsy and RP results on both patient and lesion level.
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Teixeira Anacleto, Sara, Joana Neves Alberto, Emanuel Carvalho Dias, Pedro Sousa Passos, and Mário Cerqueira Alves. "Do all patients with suspicious prostate cancer need Multiparametric Magnetic Resonance Imaging before prostate biopsy?" Archivio Italiano di Urologia e Andrologia 94, no. 1 (March 28, 2022): 32–36. http://dx.doi.org/10.4081/aiua.2022.1.32.
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Objectives: Multiparametric magnetic resonance imaging (mpMRI) is a useful tool to diagnose prostate cancer (PCa) but its cost is not negligible. In order to reduce costs and minimize time to diagnosis, it is necessary to establish which patients benefit the most from doing mpMRI prior to prostate biopsy (PB). Our aim was to test if mpMRI still predicts PCa and clinically significant PCa (csPCa) in patients with high clinical suspicion of cancer, defined as prostate specific antigen (PSA) > 10 ng/ml, PSA-Density (PSAD) > 0.15 ng/ml/cc or suspicious digital rectal examination (DRE). Materials and methods: We retrospectively collected data on 206 patients who underwent mpMRI before PB at our Department from January 2017 to July 2018. mpMRI results were classified using Prostate Imaging Reporting and Data System (PI-RADS) version 2. In primary analysis, we evaluated the association of mpMRI with PCa and csPCa and stratified this model for low and high clinical suspicion of cancer. In secondary analysis, we determined the rate of negative PB results in patients with high suspicion of cancer and compared theses rates with those obtained if only those with PI-RADS 3-5 would be biopsied. Results: In primary analysis and overall, mpMRI was predictive of PCa and csPCa. In stratified analysis, mpMRI was still significantly associated with csPCa in patients with PSA > 10 ng/ml and PSAD > 0.15 ng/ml/cc, but not in those with suspicious DRE. In secondary analysis, negative result rates were lower if only patients with PI-RADS 3-5 were biopsied, even in subgroups with high suspicion of cancer based on PSA and PSAD. In patients with suspicious DRE, however, the rate of negative results did not change significantly if only patients with PI-RADS 3-5 were biopsied. Conclusions: mpMRI is still useful in predicting csPCa in patients with PSA > 10 ng/mL and PSAD > 0.15 ng/ml/cc. If DRE is suspicious, though, mpMRI might be no longer useful in the prediction of PCa.
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Patel, Kartik Shashikant, Tarun Singh, Kshitij Raghuvanshi, Sameer Sonar, and Rajeev Chaudhari. "A comparison study of 68gallium-prostate-specific membrane antigen positron emission tomography-computed tomography and multiparametric magnetic resonance imaging for locoregional staging of prostate cancer." Urological Science 35, no. 1 (March 2024): 36–41. http://dx.doi.org/10.1097/us9.0000000000000002.
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Purpose: Prostate cancer (PCa) is the most common malignancy in men aged 50 years and older and the second cause of cancer death among men. Accurate staging of PCa preoperatively is of high importance for treatment decisions and patient management. Conventional imaging modalities (ultrasound, computed tomography [CT], and magnetic resonance imaging) are inaccurate for the staging of PCa. Newer modality multiparametric magnetic resonance imaging (mpMRI) and prostate-specific membrane antigen (PSMA) positron emission tomography (PET) scan show promising results for the staging of PCa. Only fewer studies are available for comparison of these modalities with histopathology as reference. The objective of our study is to evaluate the diagnostic accuracy of independent 68gallium PSMA (68Ga-PSMA) PET-CT compared with mpMRI for preoperative staging of PCa, using histopathology as the reference standard. Materials and methods: From August 2021 to December 2022, 30 patients of biopsy-proven PCa were prospectively enrolled as per eligibility criteria. Preoperatively, 68Ga-PSMA PET scan and mpMRI were done in all the patients. Extracapsular extension (ECE), seminal vesicle invasion (SVI), and lymph node metastasis (LNM) were investigated separately. Subsequently, the patients underwent robotic-assisted radical prostatectomy with bilateral pelvic lymph node dissection. Results: mpMRI prostate was more sensitive (66.66%) but less specific than PSMA PET-CT (55.55%) for ECE. mpMRI and PSMA PET-CT both had similar sensitivity (83.3%) and specificity (87.5%) for SVI. PSMA PET-CT was more sensitive (85.71%) and specific (95.6%) than mpMRI prostate (62.5% and 91.30%, respectively) for LNM. Conclusion: PSMA PET-CT is more specific for the detection of ECE and more sensitive and specific for the detection of LNM than mpMRI, and similar for the detection of SVI. mpMRI provides only local staging, while PSMA PET-CT provides information about local, regional, and distal staging. Overall, PSMA PET-CT is superior to mpMRI for locoregional staging of PCa.
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Pepe, Pietro, Antonio Garufi, Giandomenico Priolo, Giuseppe Dibenedetto, Michele Salemi, Michele Pennisi, Filippo Fraggetta, Francesco Aragona, and Michele Barbera. "Accuracy of 3 Tesla pelvic phased-array multiparametric MRI in diagnosing prostate cancer at repeat biopsy." Archivio Italiano di Urologia e Andrologia 86, no. 4 (December 30, 2014): 336. http://dx.doi.org/10.4081/aiua.2014.4.336.
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Introduction. Multiparametric pelvic magnetic resonance imaging (mpMRI) accuracy in prostate cancer (PCa) diagnosis was evaluated. Materials and Methods. From June 2011 to December 2013, 168 patients (median 65 years) with negative digital rectal examination underwent repeat transperineal saturation biopsy (SPBx; median 28 cores) for persistently high or increasing PSA values, PSA >10 ng/ml or PSA values between 4.1-10 o r 2.6-4 ng/ml with free/total PSA < 25% and < 20%, respectively. All patients underwent mpMRI using a 3.0 Tesla scanner equipped with surface 16 channels phased-array coil and lesions suspicious for PCa were submitted to additional targeted biopsies. Results. A T1c PCa was found in 66 (39%) cases; SPBx and mpMRI-suspicious targeted biopsy diagnosed 60 (91%) and 52 (78.8%) cancers missing 6 (all of the anterior zone) and 14 cancers (12 and 2 of the lateral margins and anterior zone), respectively; in detail, mpMRI missed 12 (18.1%) PCa charaterized by microfocal (1 positive core with greatest percentage of cancer and Gleason score equal to 5% and 6, respectively) disease at risk for insignificant cancer. The diameter of the suspicious mpMRI lesion was directly correlated to the diagnosis of PCa with poor Gleason score (p < 0.05); detection rate of cancer for each suspicious mpMRI core was 35.3%. Diagnostic accuracy, sensitivity, specificity, positive and negative predictive value of mpMRI in diagnosing PCa was 75.7%, 82.5%, 71.8%, 78.9%, 87.9%, respectively. Conclusion. Multiparametric pMRI improved SPBx accuracy in diagnosing significant anterior PCa; the diameter of mpMRI suspicious lesion resulted significantly predictive of aggressive cancers.
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Pepe, Pietro, Ludovica Pepe, Maria Tamburo, Giulia Marletta, Michele Pennisi, and Filippo Fraggetta. "Targeted prostate biopsy: 68Ga-PSMA PET/CT vs. mpMRI in the diagnosis of prostate cancer." Archivio Italiano di Urologia e Andrologia 94, no. 3 (September 26, 2022): 274–77. http://dx.doi.org/10.4081/aiua.2022.3.274.
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Introduction: To evaluate the diagnostic accuracy of 68Ga-prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomog-raphy (PET/CT) vs. multiparametric magnetic resonance imag-ing (mpMRI) targeted biopsy (TPBx) in the diagnosis of clinical-ly significant prostate cancer (csPCa: Grade Group ≥ 2).
Materials and methods: From January 2021 to June 2022, 100 patients (median age: 66 years) with negative digital rectal examination underwent transperineal prostate biopsy for abnor-mal PSA values (median 7.5 ng/ml). Before prostate biopsy, all patients underwent mpMRI and 68Ga-PET/CT examinations and mpMRI (PI-RADS version 2 ≥ 3) or 68Ga-PET/CT index lesions suspicious for cancer (SUVmax > 5 g/ml) underwent cognitive targeted cores (mpMRI-TPBx and PSMA-TPBx: four cores) com-bined with extended systematic prostate biopsy (eSPBx: median 18 cores). The procedure was performed transperineally using a tru-cut 18-gauge needle under sedation and antibiotic prophy-laxis. Results: PCa was found in 58/100 (58.0%) men; in detail, 44/58 (75.9%) were csPCa; mpMRI and 68Ga-PSMA showed 66/100 (66%) and 62/100 (60%) lesions suspicious for PCa, respective-ly. 68Ga-PSMA-TPBx vs. mpMRI-TPBx vs. eSPBx diagnosed 42 (95.4%) vs. 36 (81.8%) vs. 30 (68.2%) csPCa, respectively; mpMRI-TPBx vs. 68Ga-PSMA-TPBx showed a diagnostic accuracy of 76.9% vs. 84.9% in diagnosing csPCa.
Conclusions: 68GaPSMA PET/CT TPBx demonstrated good accuracy in the diagnosis of csPCa, which was not inferior to mpMRI TPBx (84.9% vs. 76.9%) improving the detection rate for cancer of systematic biopsy.
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Oderda, Marco, Giorgio Calleris, Daniele D’Agate, Marco Falcone, Riccardo Faletti, Marco Gatti, Giancarlo Marra, Alessandro Marquis, and Paolo Gontero. "Intraoperative 3D-US-mpMRI Elastic Fusion Imaging-Guided Robotic Radical Prostatectomy: A Pilot Study." Current Oncology 30, no. 1 (December 22, 2022): 110–17. http://dx.doi.org/10.3390/curroncol30010009.
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Introduction: When performing a nerve-sparing (NS) robotic radical prostatectomy (RARP), cancer location based on multiparametric MRI (mpMRI) is essential, as well as the location of positive biopsy cores outside mpMRI targets. The aim of this pilot study was to assess the feasibility of intraoperative 3D-TRUS-mpMRI elastic fusion imaging to guide RARP and to evaluate its impact on the surgical strategy. Methods: We prospectively enrolled 11 patients with organ-confined mpMRI-visible prostate cancer (PCa), histologically confirmed at transperineal fusion biopsy using Koelis Trinity. Before surgery, the 3D model of the prostate generated at biopsy was updated, showing both mpMRI lesions and positive biopsy cores, and was displayed on the Da Vinci robotic console using TilePro™ function. Results: Intraoperative 3D modeling was feasible in all patients (median of 6 min). The use of 3D models led to a major change in surgical strategy in six cases (54%), allowing bilateral instead of monolateral NS, or monolateral NS instead of non-NS, to be performed. At pathologic examination, no positive surgical margins (PSMs) were reported. Bilateral PCa presence was detected in one (9%), four (36%), and nine (81%) patients after mpMRI, biopsy, and RARP, respectively. Extracapsular extension was found in two patients (18%) even if it was not suspected at MRI. Conclusions: Intraoperative 3D-TRUS-mpMRI modeling with Koelis Trinity is feasible and reliable, helping the surgeon to maximize functional outcomes without increasing the risk of positive surgical margins. The location of positive biopsy cores must be registered in 3D models, given the rates of bilateral involvement not seen at mpMRI.
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Valle, Luca Faustino, Jeremie Calais, Leonard S. Marks, Steven Raman, Robert Evan Reiter, Matthew Rettig, John Shen, et al. "Radiographic-pathologic concordance in the workup of locally radiorecurrent prostate cancer." Journal of Clinical Oncology 41, no. 6_suppl (February 20, 2023): 313. http://dx.doi.org/10.1200/jco.2023.41.6_suppl.313.
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313 Background: Advanced molecular PET/CT (mPET) studies are increasingly being utilized in conjunction with multiparametric MRI (mpMRI) to evaluate the burden of radiorecurrent disease in men who develop a biochemical recurrence following definitive radiotherapy (RT) for prostate cancer (PCa). However, radiographic concordance with pathologic confirmation of radiorecurrent disease in this setting is poorly described. We sought to conduct a patient-level analysis comparing concordance of radiographic and pathologic findings between mpMRI and mPET. Methods: Men who had previously undergone definitive RT for PCa and subsequently experienced treatment failure defined by the Phoenix definition were enrolled in a prospective registry study wherein radiographically identified local PCa recurrences were biopsied using mpMRI or mPET fusion (Artemis) with real-time ultrasound. Prior to biopsy, men underwent diagnostic imaging with mpMRI, advanced mPET (68Ga-PSMA-11 or 18F-FACBC), or both in order to identify a biopsy target. At least one imaging modality had to reveal a recurrent lesion based on PIRADS or PROMISE imaging classifications in order to prompt biopsy. Radiographic and pathologic findings were classified as either “treatment effect” or “recurrent disease”. Using biopsy as the reference standard, positive predictive value (PPV) was evaluated for mpMRI and mPET modalities separately. Results: Of 28 patients with radiographic recurrence on mpMRI or mPET, 10/28 (35.7%) exhibited treatment effect without evidence of active cancer on biopsy confirmation. Prostate adenocarcinoma was identified in 17/28 patient biopsies, whereas small cell prostate cancer was present in 1 patient. All 28 men underwent mpMRI prior to biopsy and 23/28 (82.1%) additionally underwent mPET; 19/23 (82.6%) underwent 68Ga-PSMA-11 and 4/23 (17.4%) were imaged with 18F-FACBC. Concordance in the assessment of recurrent disease between mpMRI and mPET was achieved in 12/23 (52.2%) men who underwent both imaging modalities. Among the 28 men who underwent mpMRI, PPV was 0.84, whereas PPV for the 23 men who underwent mPET was 0.70. Conclusions: In patients for whom clinical suspicion of radiorecurrence was high enough to warrant a biopsy, pre-biopsy mpMRI outperforms mPET in terms of PPV for detecting pathologically confirmed locally radiorecurrent PCa. Used in tandem, mpMRI and mPET might better select appropriate candidates for biopsy than either radiographic modality alone. While advanced mPET remains promising for detecting distant recurrences at the time of RT failure, biopsy confirmation following radiographic detection of local radiorecurrence remains essential for evaluating the true burden of local recurrence.
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Kim, Eric, Natalia Miheecheva, Akshaya Ramachandran, Yang Lyu, Ilia Galkin, Viktor Svekolkin, Ekaterina Postovalova, et al. "Integrated-omics of MRI-visible and -invisible prostate cancer identifies molecular correlations with clinical outcome." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): e17506-e17506. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e17506.
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e17506 Background: The inclusion of multiparametric MRI (mpMRI) to prostate cancer (PCa) diagnostics has increased the detection rate and has improved the prediction rate of clinically significant PCa. Yet, mpMRI has a false negative rate of 12.6%, missing 6-13% of clinically significant PCa. The mechanisms underlying MRI visibility are poorly understood; therefore, to probe the molecular and cellular underpinnings of PCa MRI visibility, we profiled tissue from Gleason score and clinically matched patients with MRI-visible and MRI-invisible PCa who underwent radical prostatectomy. Methods: MRI-invisible (n = 7) and MRI-visible (n = 8) PCa tumors were evaluated with multiplex immunofluorescence (MxIF; 14 markers) and were subjected to gene expression profiling using the HTG EdgeSeq Oncology Biomarker Panel (2,549 genes). Gene expression analysis was also performed using The Cancer Genome Atlas (TCGA), including normal prostate (n = 52) and PCa (n = 387) tissue. Analyses were performed using the BostonGene automated pipeline. Results: MpMRI-visible PCa tumors (62.5%) displayed compact epithelial tumor architecture compared with mpMRI-invisible PCa tumors (28.5%). mpMRI-visible PCa had higher malignant cell density (p = 0.04) and increased neighboring malignant cells (p = 0.07), correlating with MRI-visible PCa complex tumor architecture (r = 0.49 for neighboring malignant cells vs tumor cell density). Tumor stromal organization differences were determined by measuring Wasserstein distances between distributions, and mpMRI-invisible PCa stroma appeared more similar to normal tissue. The visible group exhibited lower expression of stroma-enriched genes such as filamin C (FLNC) (FDR < 0.1) and cellular adhesion-related genes (FDR < 0.4), with gene expression signatures markedly different compared to normal prostate tissue. Higher malignant cell density, neighboring malignant cells, and Wasserstein distances, and low FLNC expression – all mpMRI visibility characteristics – were associated with patient relapse (p = 0.02). Low stroma signature expression in the TCGA cohort correlated with inferior PCa PFS (p = 0.005). Conclusions: This is the first integrated multi-omics analysis of clinically matched mpMRI-visible and -invisible PCa. mpMRI-invisible tumors exhibited molecular, cellular, and structural characteristics more akin to normal prostate tissue, which may render them undetectable by imaging. A stroma-associated gene signature, a mpMRI-invisible tumor feature, correlated with better PCa clinical outcomes.
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Li, Xinwen, Xiaoyan Wang, Qing Li, and Lijie Bai. "CT Combined with Multiparameter MRI in Differentiating Pathological Subtypes of Non-Small-Cell Lung Cancer before Surgery." Contrast Media & Molecular Imaging 2022 (May 17, 2022): 1–7. http://dx.doi.org/10.1155/2022/8207301.
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Objective. To investigate the diagnostic value of computed tomography (CT) combined with multiparametric magnetic resonance imaging (mpMRI) for preoperative differentiation of non-small-cell lung cancer (NSCLC). Methods. CT and MRI imaging data were collected from all patients with squamous lung cancer and adenocarcinoma admitted to our hospital from June 2019 to December 2020 (286 cases). ROC curves were plotted to evaluate the performance of CT, mpMRI, and CT combined with mpMRI to differentiate pathological subtypes of NSCLC. Univariate and multivariate regression were used to be independent predictors of pathological subtypes of NSCLC. Results. ROC curves showed that CT combined with mpMRI had the largest area under the curve, followed by mpMRI and CT successively. Univariate regression analysis showed that gender, smoking, tumor size, morphology, marginal lobulation, marginal burr, bronchial truncation sign, and vascular convergence sign were factors influencing the pathological subtype of NSCLC. Multivariate regression analysis suggested the fact that gender, tumor size, morphology, marginal lobulation, bronchial truncation, and vascular convergence sign are likely the independent predictors of NSCLC pathological subtypes. Conclusions. CT combined with mpMRI can effectively distinguish NSCLC pathological subtypes, which is worthy of clinical application.
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Parker, Chris, Richard S. Kaplan, Rhian Gabe, Hashim Uddin Ahmed, Khadija Rantell, and Mark Emberton. "Multiparametric magnetic resonance imaging in the diagnosis and characterisation of prostate cancer: The PROMIS study." Journal of Clinical Oncology 30, no. 5_suppl (February 10, 2012): 62. http://dx.doi.org/10.1200/jco.2012.30.5_suppl.62.
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62 Background: Over 1 million US men undergo prostate biopsy each year. About two thirds will test negative. This negative status is uncertain as up to a quarter will have prostate cancer on repeat biopsy. Further, a positive result often fails to discriminate clinically significant from insignificant disease. PROMIS will investigate whether multi-parametric MRI (mpMRI) can discriminate between men with no cancer or clinically insignificant cancer versus those with clinically significant cancer, using template prostate mapping (TPM) biopsies as the most accurate and appropriate reference test in men referred for biopsy. Methods: PROMIS is a multicenter, validating paired cohort study designed to include up to 714 men who will have an mpMRI (index test) and, under general anaesthetic, undergo 10-12 core TRUS biopsy (standard test) and TPM with sampling every 5mm throughout the prostate (reference test). All tests will be assessed independently. Clinically significant cancer on TPM is defined as dominant Gleason pattern ≥4 and/or cancer core length of ≥6mm. PROMIS is powered to measure an absolute increase in sensitivity from 48%, on TRUS biopsy, to at least 70%, by mpMRI. Results: The study will report the proportion of men (i) who could safely avoid biopsy and (ii) correctly identified by mpMRI to have clinically significant prostate cancer. mpMRI will be assessed using an ordinal score of 1 to 5 (highly likely benign - highly likely malignant), with a score ≥3 indicating a positive mpMRI for presence of clinically significant cancer. Secondary objectives will include outcomes based on another definition of clinically significant cancer (non-dominant Gleason pattern ≥4 and/or cancer core length ≥4mm), and cost-effectiveness of using mpMRI prior to biopsy. Conclusions: PROMIS will provide level 1 evidence by comparing mpMRI with the current standard, TRUS biopsy, using an accurate reference test that can be applied to all men advised to have a biopsy. If successful, mpMRI could in the future allow between a quarter and a half of US men referred to safely avoid a biopsy and/or improve the detection of clinically significant cancer by 20%.
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Kang, Jae Hoon, Jun-Koo Kang, Jae-Wook Chung, Yun-Sok Ha, Seock Hwan Choi, Bum Soo Kim, Hyun Tae Kim, et al. "Impact of Multiparametric Magnetic Resonance Imaging for the Prediction of Extraprostatic Extension According to the National Comprehensive Cancer Network Risk Stratification in Prostate Cancer." Journal of Urologic Oncology 21, no. 2 (July 31, 2023): 112–20. http://dx.doi.org/10.22465/juo.234600160008.
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Purpose: The accuracy of extraprostatic extension (EPE) on multiparametric magnetic resonance imaging (mpMRI) for the preoperative staging of prostate cancer (PCa) remains controversial. This study aimed to determine the effect of mpMRI for EPE prediction in the final pathology after radical prostatectomy (RP) according to the National Comprehensive Cancer Network (NCCN) risk stratification in patients with clinically localized PCa.Materials and Methods: This retrospective study analyzed 340 consecutive patients diagnosed with clinically localized PCa who underwent RP with preoperative mpMRI between March 2020 and December 2021. They were stratified according to the NCCN risk stratification into low (LR), favorable intermediate (FIR), unfavorable intermediate (UIR), and high risk (HR) groups to assess final pathological EPE. The accuracy of staging mpMRI was assessed in each group. Univariate and multivariate analyses evaluated the predictors of EPE in the final pathology after RP.Results: Preoperative mpMRI showed suspicious EPE in 87 patients (25.6%), whereas postoperative pathological evaluation revealed EPE in 137 patients (40.3%). The LR group showed relatively low sensitivity and positive predictive value compared with other groups. In the multivariate analysis, suspicious EPE on mpMRI was a significant predictive factor for EPE in the final pathology in the FIR, UIR, and HR groups (p=0.012, p=0.011, and p=0.001, respectively), whereas no correlation was observed in the LR group (p=0.711).Conclusions: A strong correlation was observed between suspicious EPE on mpMRI and EPE in the final pathology in the FIR, UIR, and HR groups but not in the LR group.
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Tran, Vy, Anne Hong, Tom Sutherland, Kim Taubman, Su-Faye Lee, Daniel Lenaghan, Kapil Sethi, et al. "PEDAL protocol: a prospective single-arm paired comparison of multiparametric MRI and 18F-DCPFyl PSMA PET/CT to diagnose prostate cancer." BMJ Open 12, no. 9 (September 2022): e061815. http://dx.doi.org/10.1136/bmjopen-2022-061815.
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IntroductionProstate-specific membrane antigen positron emission tomography (PSMA-PET) has emerged as valuable imaging to assessing metastatic disease in prostate malignancy. However, there has been limited studies exploring the utility PSMA-PET as primary imaging assessing for index lesions prior to biopsy. The primary objective of this study is to compare the diagnostic accuracy of 18-fluorine PSMA (18F DCFPyL PSMA) PET scans to multiparametric MRI (mpMRI) to detect primary prostate cancer at prostate biopsy.Methods and analysisThe PEDAL trial is a multicentre, prospective, single-arm, paired comparison, non-randomised phase III trial in subjects considered for diagnostic prostate biopsy. Subjects who are eligible for a diagnostic mpMRI prostate will undergo additional same-day 18 F DCFPyl PSMA PET/CT of the chest, abdomen and pelvis. Software coregistration of the mpMRI and PSMA-PET/CT images will be performed. The reporting of the mpMRI prostate, PSMA-PET/CT and PSMA PET/MRI coregistration will be performed blinded. The diagnostic accuracy of PSMA PET/CT alone, and in combination with mpMRI, to detect prostate cancer will be assessed. Histopathology at prostate biopsy will be used as the reference standard. Sample size calculations estimate that 240 subjects will need to be recruited to demonstrate 20% superiority of PSMA-PET/CT. The sensitivity, specificity, positive predictive value and negative predictive value of the combination of mpMRI prostate and PSMA PET/CT compared with targeted and systematic prostate biopsy will be evaluated. It is hypothesised that PSMA PET/CT combined with mpMRI prostate will have improved diagnostic accuracy compared with mpMRI prostate alone for detection of prostate cancer in biopsy-naïve men, resulting in a significant impact on patient management.Ethics and disseminationThis study was approved by the independent Human Research Ethics Committee. Results will be published in peer-reviewed medical journals with eligible investigators will significantly contribute.Trial registration numberACTRN12620000261910.
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Klotz, Laurence, Giovanni Lughezzani, Andrrea Sanchez, Frederic Staerman, Hannes Cash, Richard Gaston, Rafael Sanchez-Salas, Eric A. Klein, and Gregg Eure. "Comparison of micro-ultrasound and multiparametric MRI imaging for prostate cancer: A multicenter prospective analysis." Journal of Clinical Oncology 38, no. 6_suppl (February 20, 2020): 296. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.296.
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296 Background: This study aims to compare the sensitivity, specificity, NPV and PPV of mpMRI with the novel high-resolution micro-ultrasound imaging modality. This approach offers the benefits of simplicity, a single intervention for imaging and biopsy, leveraging the low cost of ultrasound. Micro-ultrasound may be used to image suspicious lesions and target biopsies in real-time with or without additional MRI-based targets. Methods: Data from 9 sites was aggregated, totaling 866 subjects presenting for ExactVu micro-ultrasound guided biopsy with available mpMRI studies. Samples in all subjects were taken from mpMRI targets and micro-ultrasound targets, with up to 12 systematic samples filled in. Various strategies were used for mpMRI target sampling including cognitive fusion with micro-ultrasound, separate software-fusion systems, and software-fusion using the micro-ultrasound FusionVu system. Clinically significant cancer was considered any Gleason Sum > 6 and targeted samples were taken for PI-RADS > 2 or PRI-MUS1 > 2 lesions. Results: Overall, 39% of all biopsy cases were positive for clinically significant PCa. mpMRI demonstrated 89% sensitivity and NPV of 77%. Compared to mpMRI, micro-ultrasound sensitivity (95%) and NPV (87%) were higher. Micro-ultrasound was less specific (21% vs 23% for mpMRI) with similar PPV (44% vs 43%). The aggregate effect demonstrates higher sensitivity for csPCa with micro-ultrasound compared to mpMRI (p<0.01). Conclusions: Micro-ultrasound is an attractive option for screening and targeted biopsy. Sensitivity and NPV appear superior to MRI, but specificity is mildly reduced. Further larger-scale studies are required for validation of these findings. References: Ghai, S. et al., “Assessing Cancer Risk in Novel 29 MHz Micro-Ultrasound Images of the Prostate”, Journal of Urology, 2016 Aug;196(2):562-9. Clinical trial information: NCT03938376.
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Yamamoto, Takahiro, Hiroaki Okada, Nozomu Matsunaga, Makoto Endo, Toyonori Tsuzuki, Keishi Kajikawa, and Kojiro Suzuki. "Clinical characteristics and pathological features of undetectable clinically significant prostate cancer on multiparametric magnetic resonance imaging: A single-center and retrospective study." Journal of Clinical Imaging Science 14 (June 19, 2024): 20. http://dx.doi.org/10.25259/jcis_37_2024.
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Objectives: The objectives of this study were to clarify the pathological features of clinically significant prostate cancer (csPC) that is undetectable on multiparametric magnetic resonance imaging (mpMRI). Material and Methods: This single-center and retrospective study enrolled 33 men with prostate cancer (PC), encompassing 109 PC lesions, who underwent mpMRI before radical prostatectomy. Two radiologists independently assessed the mpMR images of all lesions and compared them with the pathological findings of PC. All PC lesions were marked on resected specimens using prostate imaging reporting and data system version 2.1 and classified into magnetic resonance imaging (MRI)-detectable and MRI-undetectable PC lesions. Each lesion was classified into csPC and clinically insignificant PC. Pathological characteristics were compared between MRI-detectable and MRI-undetectable csPC. Statistical analysis was performed to identify factors associated with MRI detectability. A logistic regression model was used to determine the factors associated with MRI-detectable and MRI-undetectable csPC. Results: Among 109 PC lesions, MRI-detectable and MRI-undetectable PCs accounted for 31% (34/109) and 69% (75/109) of lesions, respectively. All MRI-detectable PCs were csPC. MRI-undetectable PCs included 30 cases of csPC (40%). The detectability of csPC on mpMRI was 53% (34/64). The MRI-undetectable csPC group had a shorter major diameter (10.6 ± 6.6 mm vs. 19.0 ± 6.9 mm, P < 0.001), shorter minor diameter (5.7 ± 2.9 mm vs. 10.7 ± 3.4 mm, P < 0.001), and lower percentage of lesions with Gleason pattern 5 (17% vs. 71%, P < 0.001). Shorter minor diameter (odds ratio [OR], 2.62; P = 0.04) and lower percentage of Gleason pattern 5 (OR, 24; P = 0.01) were independent predictors of MRI-undetectable csPC. Conclusion: The pathological features of MRI-undetectable csPC included shorter minor diameter and lower percentage of Gleason pattern 5. csPC with shorter minor diameter may not be detected on mpMRI. Some MRI-undetectable csPC lesions exhibited sufficient size and Gleason pattern 5, emphasizing the need for further understanding of pathological factors contributing to MRI detectability.
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Gulin, G. A., A. V. Zyryanov, N. A. Rubtsova, V. M. Artyemov, A. V. Zamyatin, and E. A. Grebenev. "Multiparametric magnetic resonance imaging and combined prostate biopsy: opportunities, advantages and pitfalls." Medical Visualization 25, no. 2 (May 18, 2021): 138–52. http://dx.doi.org/10.24835/1607-0763-1023.
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Multiparametric MRI (mpMRI) has superb sensitivity in prostate cancer detection. mpMRI is increasingly used not only for primary diagnostics, but for location of suspicious lesion before biopsy in case of targeted biopsy (TB). In many recent studies have been shown higher level of TB accuracy in prostate cancer detection in comparison with traditional systemic biopsy. In recent EAU, NICE, ACR recommendations mpMRI is indicated for men with high level of prostate cancer suspicion with previous negative results of systemic biopsy. However, it is not absolutely clear, whether mpMRI is indicated for biopsy-naïve men. This study is dedicated for prostate biopsy planning in the groups of biopsy-naïve men and with the history of previous biopsy.
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Norris, Joseph M., Veeru Kasivisvanathan, Clare Allen, Rhys Ball, Alex Freeman, Maneesh Ghei, Alex Kirkham, Hayley C. Whitaker, Daniel Kelly, and Mark Emberton. "Exploring Patient Views and Acceptance of Multiparametric Magnetic Resonance Imaging for the Investigation of Suspected Prostate Cancer (the PACT Study): A Mixed-Methods Study Protocol." Methods and Protocols 3, no. 2 (March 28, 2020): 26. http://dx.doi.org/10.3390/mps3020026.
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BACKGROUND: The introduction of multiparametric magnetic resonance imaging (mpMRI) has improved the diagnosis of suspected prostate cancer, accurately risk-stratifying men before a biopsy. However, pre-biopsy mpMRI represents a significant deviation from the traditional approach of prostate specific antigen testing with subsequent systematic transrectal ultrasound-guided prostate biopsy and we have not yet explored the views of men who experience this new pathway. The purpose of the PACT study (PAtient views and aCceptance of mulTiparametric MRI) is to explore men’s perceptions of mpMRI. METHODS: PACT will be conducted at teaching hospitals in which mpMRI is central to the prostate cancer diagnostic pathway using a two-phase, mixed-methods, quantitative and qualitative approach. In phase I, men referred with suspected prostate cancer will complete detailed surveys to explore their views on the mpMRI-directed pathway compared to the traditional pathway and on what constitutes ‘significant’ prostate cancer. In phase II, these themes will be expanded upon with in-depth, semi-structured interviews. Qualitative data will be transcribed and thematically analysed, and quantitative questionnaire responses will be analysed statistically. DISCUSSION: PACT will provide the first detailed insight into patient perceptions on the use and acceptability of mpMRI. Furthermore, results from PACT will help contribute to the resolution of outstanding controversies that surround this technology.
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Guo, Peiying, Longfei Li, Cheng Li, Weijian Huang, Guohua Zhao, Shanshan Wang, Meiyun Wang, and Yusong Lin. "Multiparametric Magnetic Resonance Imaging Information Fusion Using Graph Convolutional Network for Glioma Grading." Journal of Healthcare Engineering 2022 (May 10, 2022): 1–11. http://dx.doi.org/10.1155/2022/7315665.
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Accurate preoperative glioma grading is essential for clinical decision-making and prognostic evaluation. Multiparametric magnetic resonance imaging (mpMRI) serves as an important diagnostic tool for glioma patients due to its superior performance in describing noninvasively the contextual information in tumor tissues. Previous studies achieved promising glioma grading results with mpMRI data utilizing a convolutional neural network (CNN)-based method. However, these studies have not fully exploited and effectively fused the rich tumor contextual information provided in the magnetic resonance (MR) images acquired with different imaging parameters. In this paper, a novel graph convolutional network (GCN)-based mpMRI information fusion module (named MMIF-GCN) is proposed to comprehensively fuse the tumor grading relevant information in mpMRI. Specifically, a graph is constructed according to the characteristics of mpMRI data. The vertices are defined as the glioma grading features of different slices extracted by the CNN, and the edges reflect the distances between the slices in a 3D volume. The proposed method updates the information in each vertex considering the interaction between adjacent vertices. The final glioma grading is conducted by combining the fused information in all vertices. The proposed MMIF-GCN module can introduce an additional nonlinear representation learning step in the process of mpMRI information fusion while maintaining the positional relationship between adjacent slices. Experiments were conducted on two datasets, that is, a public dataset (named BraTS2020) and a private one (named GliomaHPPH2018). The results indicate that the proposed method can effectively fuse the grading information provided in mpMRI data for better glioma grading performance.
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Lee, Taehyoung, Jen Hoogenes, Ian Wright, Edward D. Matsumoto, and Bobby Shayegan. "Utility of preoperative 3 Tesla pelvic phased-array multiparametric magnetic resonance imaging in prediction of extracapsular extension and seminal vesicle invasion of prostate cancer and its impact on surgical margin status: Experience at a Canadian academic tertiary care centre." Canadian Urological Association Journal 11, no. 5 (May 9, 2017): 174. http://dx.doi.org/10.5489/cuaj.4211.
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Introduction: To evaluate the utility of 3 Tesla (3T) pelvic phased-array (PPA) multiparametric magnetic resonance imaging (mpMRI) to predict extracapsular extension (ECE) and seminal vesicle invasion (SVI) and its subsequent effect on radical prostatectomy (RP) surgical margin status.Methods: A retrospective evaluation was conducted of RP patients who underwent preoperative 3T PPA mpMRI (without endorectal coil) based on clinical probability of adverse pathological features. Frequencies, specificity, sensitivity, positive predictive value (PPV), and negative predictive value (NPV) of mpMRI in predicting the status of ECE and SVI were calculated.Results: Forty-eight consecutive patients were included. Sensitivity, specificity, PPV, and NPV for 3T PPA mpMRI using T2-weighted sequences with diffusion-weighted imaging (DWI) and dynamic contrast enhanced (DCE) imaging to predict ECE was 39%, 56%, 45%, and 50%, respectively, while SVI prediction was 33%, 95%, 50%, and 91%, respectively. Twelve of the 28 cases predicted as being negative for ECE had positive margins, while two of the 20 cases predicted to be positive for ECE had positive margins. Imaging predicted four cases would have SVI, yet two had positive margins, while of the 44 cases predicted as being negative for SVI, four had positive margins.Conclusions: These findings at our centre suggest that the use of 3T PPA mpMRI using T2-weighted sequences with DWI and DCE in predicting pathological ECE and SVI is of questionable benefit. These mpMRI reports may result in closer dissection of neurovascular bundles and subsequent positive surgical margins. Caution should be exercised when basing intraoperative decisions on mpMRI findings.
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Molokwu, Chidi N., Christos Gkikas, Nicola Lee, Joanna Lesniak-Buzon, Faisal Ali, and Harry Bardgett. "Abstract P067: Evaluating the risk of clinically significant prostate cancer in lesions detected on multiparametric MRI of the prostate." Cancer Prevention Research 16, no. 1_Supplement (January 1, 2023): P067. http://dx.doi.org/10.1158/1940-6215.precprev22-p067.
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Abstract Introduction: Multiparametric Magnetic Resonance Imaging (mpMRI) is a valuable tool in the prostate cancer diagnostic pathway. mpMRI has a negative predictive value (NPV) of approximately 90% for detecting clinically significant prostate cancer (csPCa), defined as the presence of any Gleason Grade (GG) 4 or 5. Lesions detected on mpMRI are scored using the PIRADS scoring system from 1 to 5. PIRADS-3, 4 and 5 lesions are recommended for biopsy. The use of mpMRI to guide prostate biopsy has been shown to be superior to systematic biopsy alone for detecting early csPCa as small lesions can be identified and accurately targeted. We analysed the outcome of targeted biopsy of prostate lesions detected on mpMRI, and systematic biopsy when no lesions were detected, to determine the risk of csPCa based on mpMRI findings. Methods: Men attending our prostate diagnostic pathway were offered mpMRI before biopsy. The criteria for pre-biopsy mpMRI were any man suitable for radical surgery or radiotherapy, plus one or more of PSA > 3, palpable lesion on digital rectal examination, or family history of PCa in a first degree relative (father or brother). mpMRI was performed with a 1.5-Tesla magnet and included T2, DWI and DCE sequences. Men with PIRADS 3, 4, and 5 lesions were offered targeted biopsy with 2-4 biopsy cores per lesion, and men with no lesion on MRI were offered systematic prostate biopsy with 8-16 biopsy cores. Results: 546 targeted lesions were biopsied in 349 men. 159 lesions were PIRADS-3, 226 were PIRADS-4, and 161 were PIRADS-5. 141 men with negative mpMRI had systematic prostate biopsy. Of the PIRADS-3 lesions, 84% were benign, 5% had GG 3, 11% had GG 4 and none had GG 5. Of the PIRADS-4 lesions, 44% were benign, 12% had GG 3, 42% had GG 4, and 2% had GG 5. Of the PIRADS-5 lesions, 23% were benign, 2% had GG 3, 62% had GG 4, and 13% had GG 5. Of the men with no lesion on mpMRI, 9% had GG 3, 4% had GG 4, and none had GG 5. Conclusion: Most men with negative mpMRI or PIRADS-3 lesions have benign tissue on biopsy or early PCa and are unlikely to have csPCa. A decision for biopsy vs PSA monitoring in these men should weigh the risks and benefits of biopsy and should be a shared decision taking into consideration individual risk factors for PCa, age and co-morbidities. Citation Format: Chidi N. Molokwu, Christos Gkikas, Nicola Lee, Joanna Lesniak-Buzon, Faisal Ali, Harry Bardgett. Evaluating the risk of clinically significant prostate cancer in lesions detected on multiparametric MRI of the prostate. [abstract]. In: Proceedings of the AACR Special Conference: Precision Prevention, Early Detection, and Interception of Cancer; 2022 Nov 17-19; Austin, TX. Philadelphia (PA): AACR; Can Prev Res 2023;16(1 Suppl): Abstract nr P067.
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Bodar, Yves J. L., Ben G. J. C. Zwezerijnen, Patrick J. van der Voorn, Bernard H. E. Jansen, Ruth S. Smit, Sabrine Q. Kol, Dennie Meijer, et al. "Prospective analysis of clinically significant prostate cancer detection with [18F]DCFPyL PET/MRI compared to multiparametric MRI: a comparison with the histopathology in the radical prostatectomy specimen, the ProStaPET study." European Journal of Nuclear Medicine and Molecular Imaging 49, no. 5 (November 2, 2021): 1731–42. http://dx.doi.org/10.1007/s00259-021-05604-9.
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Abstract Purpose Multiparametric magnetic resonance imaging (mpMRI) is a well-established imaging method for localizing primary prostate cancer (PCa) and for guiding targeted prostate biopsies. [18F]DCFPyL positron emission tomography combined with MRI (PSMA-PET/MRI) might be of additional value to localize primary PCa. The aim of this study was to assess the diagnostic performance of [18F]DCFPyL-PET/MRI vs. mpMRI in tumour localization based on histopathology after robot-assisted radical-prostatectomy (RARP), also assessing biopsy advice for potential image-guided prostate biopsies. Methods Thirty prospectively included patients with intermediate to high-risk PCa underwent [18F]DCFPyL-PET/MRI and mpMRI prior to RARP. Two nuclear medicine physicians and two radiologists assessed tumour localization on [18F]DCFPyL-PET/MRI and on mpMRI respectively, and gave a prostate biopsy advice (2 segments) using a 14-segment model of the prostate. The uro-pathologist evaluated the RARP specimen for clinically significant PCa (csPCa) using the same model. csPCa was defined as any PCa with Grade Group (GG) ≥ 2. The biopsy advice based on imaging was correlated with the final histology in the RARP specimen for a total-agreement analysis. An additional near-agreement correlation was performed to approximate clinical reality. Results Overall, 142 of 420 (33.8%) segments contained csPCa after pathologic examination. The segments recommended for targeted biopsy contained the highest GG PCa segment in 27/30 patients (90.0%) both for [18F]DCFPyL-PET/MRI and mpMRI. Areas under the receiver operating characteristics curves (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for the total-agreement detection of csPCa per segment using [18F]DCFPyL-PET/MRI were 0.70, 50.0%, 89.9%, 71.7%, and 77.9%, respectively. These results were 0.75, 54.2%, 94.2%, 82.8%, and 80.1%, respectively, for mpMRI only. Conclusion Both [18F]DCFPyL-PET/MRI and mpMRI were only partly able to detect csPCa on a per-segment basis. An accurate detection (90.0%) of the highest GG lesion at patient-level was observed when comparing both [18F]DCFPyL-PET/MRI and mpMRI biopsy advice with the histopathology in the RARP specimen. So, despite the finding that [18F]DCFPyL-PET/MRI adequately detects csPCa, it does not outperform mpMRI.
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Volz, Yannic, Maria Apfelbeck, Nikolaos Pyrgidis, Paulo L. Pfitzinger, Elena Berg, Benedikt Ebner, Benazir Enzinger, et al. "The Impact of Prostate Volume on the Prostate Imaging and Reporting Data System (PI-RADS) in a Real-World Setting." Diagnostics 13, no. 16 (August 15, 2023): 2677. http://dx.doi.org/10.3390/diagnostics13162677.
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Multiparametric magnetic resonance imaging (mpMRI) has emerged as a new cornerstone in the diagnostic pathway of prostate cancer. However, mpMRI is not devoid of factors influencing its detection rate of clinically significant prostate cancer (csPCa). Amongst others, prostate volume has been demonstrated to influence the detection rates of csPCa. Particularly, increasing volume has been linked to a reduced cancer detection rate. However, information about the linkage between PI-RADS, prostate volume and detection rate is relatively sparse. Therefore, the current study aims to assess the association between prostate volume, PI-RADS score and detection rate of csP-Ca, representing daily practice and contemporary mpMRI expertise. Thus, 1039 consecutive patients with 1151 PI-RADS targets, who underwent mpMRI-guided prostate biopsy at our tertiary referral center, were included. Prior mpMRI had been assessed by a plethora of 111 radiology offices, including academic centers and private practices. mpMRI was not secondarily reviewed in house before biopsy. mpMRI-targeted biopsy was performed by a small group of a total of ten urologists, who had performed at least 100 previous biopsies. Using ROC analysis, we defined cut-off values of prostate volume for each PI-RADS score, where the detection rate drops significantly. For PI-RADS 4 lesions, we found a volume > 61.5 ccm significantly reduced the cancer detection rate (OR 0.24; 95% CI 0.16–0.38; p < 0.001). For PI-RADS 5 lesions, we found a volume > 51.5 ccm to significantly reduce the cancer detection rate (OR 0.39; 95% CI 0.25–0.62; p < 0.001). For PI-RADS 3 lesions, none of the evaluated clinical parameters had a significant impact on the detection rate of csPCa. In conclusion, we show that enlarged prostate volume represents a major limitation in the daily practice of mpMRI-targeted biopsy. This study is the first to define exact cut-off values of prostate volume to significantly impair the validity of PI-RADS assessed in a real-world setting. Therefore, the results of mpMRI-targeted biopsy should be interpreted carefully, especially in patients with prostate volumes above our defined thresholds.
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Maggi, Martina, Francesco Del Giudice, Ugo G. Falagario, Andrea Cocci, Giorgio Ivan Russo, Marina Di Mauro, Giuseppe Salvatore Sepe, et al. "SelectMDx and Multiparametric Magnetic Resonance Imaging of the Prostate for Men Undergoing Primary Prostate Biopsy: A Prospective Assessment in a Multi-Institutional Study." Cancers 13, no. 9 (April 23, 2021): 2047. http://dx.doi.org/10.3390/cancers13092047.
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Prostate-specific antigen (PSA) testing as the sole indication for prostate biopsy lacks specificity, resulting in overdiagnosis of indolent prostate cancer (PCa) and missing clinically significant PCa (csPCa). SelectMDx is a biomarker-based risk score to assess urinary HOXC6 and DLX1 mRNA expression combined with traditional clinical risk factors. The aim of this prospective multi-institutional study was to evaluate the diagnostic accuracy of SelectMDx and its association with multiparametric magnetic resonance (mpMRI) when predicting PCa in prostate biopsies. Overall, 310 consecutive subjects were included. All patients underwent mpMRI and SelectMDx prior to prostate biopsy. SelectMDx and mpMRI showed sensitivity and specificity of 86.5% vs. 51.9%, and 73.8% vs. 88.3%, respectively, in predicting PCa at biopsy, and 87.1% vs. 61.3%, and 63.7% vs. 83.9%, respectively, in predicting csPCa at biopsy. SelectMDx was revealed to be a good predictor of PCa, while with regards to csPCa detection, it was demonstrated to be less effective, showing results similar to mpMRI. With analysis of strategies assessed to define the best diagnostic strategy to avoid unnecessary biopsy, SelectMDx appeared to be a reliable pathway after an initial negative mpMRI. Thus, biopsy could be proposed for all cases of mpMRI PI-RADS 4–5 score, and to those with Prostate Imaging-Reporting and Data System (PI-RADS) 1–3 score followed by a positive SelectMDx.
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Haider, Masoom A., Xiaomei Yao, Andrew Loblaw, and Antonio Finelli. "Evidence-based guideline recommendations on multiparametric magnetic resonance imaging in the diagnosis of prostate cancer: A Cancer Care Ontario clinical practice guideline." Canadian Urological Association Journal 11, no. 1-2 (January 12, 2017): 1. http://dx.doi.org/10.5489/cuaj.3968.
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This clinical guideline focuses on: 1) the use of multiparametric magnetic resonance imaging (mpMRI) in diagnosing clinically significant prostate cancer (CSPC) in patients with an elevated risk of CSPC and who are biopsy-naïve; and 2) the use of mpMRI in diagnosing CSPC in patients with a persistently elevated risk of having CSPC and who have a negative transrectal ultrasound (TRUS)-guided systematic biopsy.The methods of the Practice Guideline Development Cycle were used. MEDLINE, EMBASE, the Cochrane Library (1997‒April 2014), main guideline websites, and relevant annual meeting abstracts (2011‒2014) were searched. Internal and external reviews were conducted.The two main recommendations are:Recommendation 1: In patients with an elevated risk of CSPC (according to prostate-specific antigen [PSA] levels and/or nomograms) who are biopsy-naïve: mpMRI followed by targeted biopsy (biopsy directed at cancer-suspicious foci detected with mpMRI) should not be considered the standard of care; data from future research studies are essential and should receive high-impact trial funding to determine the value of mpMRI in this clinical context.Recommendation 2:In patients who had a prior negative TRUS-guided systematic biopsy and demonstrate an increasing risk of having CSPC since prior biopsy (e.g., continued rise in PSA and/or change in findings from digital rectal examination): mpMRI followed by targeted biopsy may be considered to help in detecting more CSPC patients compared with repeated TRUS-guided systematic biopsy.
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Akin, Oguz, Alfonso Lema-Dopico, Ramesh Paudyal, Amaresha Shridhar Konar, Thomas L. Chenevert, Dariya Malyarenko, Lubomir Hadjiiski, et al. "Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies." Cancers 15, no. 22 (November 18, 2023): 5468. http://dx.doi.org/10.3390/cancers15225468.
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This review focuses on the principles, applications, and performance of mpMRI for bladder imaging. Quantitative imaging biomarkers (QIBs) derived from mpMRI are increasingly used in oncological applications, including tumor staging, prognosis, and assessment of treatment response. To standardize mpMRI acquisition and interpretation, an expert panel developed the Vesical Imaging–Reporting and Data System (VI-RADS). Many studies confirm the standardization and high degree of inter-reader agreement to discriminate muscle invasiveness in bladder cancer, supporting VI-RADS implementation in routine clinical practice. The standard MRI sequences for VI-RADS scoring are anatomical imaging, including T2w images, and physiological imaging with diffusion-weighted MRI (DW-MRI) and dynamic contrast-enhanced MRI (DCE-MRI). Physiological QIBs derived from analysis of DW- and DCE-MRI data and radiomic image features extracted from mpMRI images play an important role in bladder cancer. The current development of AI tools for analyzing mpMRI data and their potential impact on bladder imaging are surveyed. AI architectures are often implemented based on convolutional neural networks (CNNs), focusing on narrow/specific tasks. The application of AI can substantially impact bladder imaging clinical workflows; for example, manual tumor segmentation, which demands high time commitment and has inter-reader variability, can be replaced by an autosegmentation tool. The use of mpMRI and AI is projected to drive the field toward the personalized management of bladder cancer patients.
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Pepe, Pietro, Marco Roscigno, Ludovica Pepe, Paolo Panella, Marinella Tamburo, Giulia Marletta, Francesco Savoca, et al. "Could 68Ga-PSMA PET/CT Evaluation Reduce the Number of Scheduled Prostate Biopsies in Men Enrolled in Active Surveillance Protocols?" Journal of Clinical Medicine 11, no. 12 (June 16, 2022): 3473. http://dx.doi.org/10.3390/jcm11123473.
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Background: To evaluate the accuracy of 68Ga-prostate specific membrane antigen (PSMA) PET/CT in the diagnosis of clinically significant prostate cancer (csPCa) (Grade Group > 2) in men enrolled in Active Surveillance (AS) protocol. Methods: From May 2013 to May 2021, 173 men with very low-risk PCa were enrolled in an AS protocol study. During the follow-up, 38/173 (22%) men were upgraded and 8/173 (4.6%) decided to leave the AS protocol. After four years from confirmatory biopsy (range: 48–52 months), 30/127 (23.6%) consecutive patients were submitted to mpMRI and 68Ga-PSMA PET/CT scan before scheduled repeated biopsy. All the mpMRI (PI-RADS > 3) and 68Ga-PET/TC standardised uptake value (SUVmax) > 5 g/mL index lesions underwent targeted cores (mpMRI-TPBx and PSMA-TPBx) combined with transperineal saturation prostate biopsy (SPBx: median 20 cores). Results: mpMRI and 68Ga-PSMA PET/CT showed 14/30 (46.6%) and 6/30 (20%) lesions suspicious for PCa. In 2/30 (6.6%) men, a csPCa was found; 68Ga-PSMA-TPBx vs. mpMRI-TPBx vs. SPBx diagnosed 1/2 (50%) vs. 1/2 (50%) vs. 2/2 (100%) csPCa, respectively. In detail, mpMRI and 68Ga-PSMA PET/TC demonstrated 13/30 (43.3%) vs. 5/30 (16.7%) false positive and 1 (50%) vs. 1 (50%) false negative results. Conclusion: 68Ga-PSMA PET/CT did not improve the detection for csPCa of SPBx but would have spared 24/30 (80%) scheduled biopsies showing a lower false positive rate in comparison with mpMRI (20% vs. 43.3%) and a negative predictive value of 85.7% vs. 57.1%, respectively.
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Chung, Doo Yong, Min Seok Kim, Jong Soo Lee, Hyeok Jun Goh, Dong Hoon Koh, Won Sik Jang, Chang Hee Hong, and Young Deuk Choi. "Clinical Significance of Multiparametric Magnetic Resonance Imaging as a Preoperative Predictor of Oncologic Outcome in Very Low‐Risk Prostate Cancer." Journal of Clinical Medicine 8, no. 4 (April 19, 2019): 542. http://dx.doi.org/10.3390/jcm8040542.
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Currently, multiparametric magnetic resonance imaging (mpMRI) is not an indication for patients with very low-risk prostate cancer. In this study, we aimed to evaluate the usefulness of mpMRI as a diagnostic tool in these patients. We retrospectively analyzed the clinical and pathological data of individuals with very low-risk prostate cancer, according to the NCCN guidelines, who underwent mpMRI before radical prostatectomy at our institution between 2010 and 2016. Patients who did not undergo pre-evaluation with mpMRI were excluded. We analyzed the factors associated with biochemical recurrence (BCR) using Cox regression model, logistic regression analysis, and Kaplan–Meier curve. Of 253 very low-risk prostate cancer patients, we observed 26 (10.3%) with BCR during the follow-up period in this study. The median follow-up from radical prostatectomy was 53 months (IQR 33–74). The multivariate Cox regression analyses demonstrated that the only factor associated with BCR in very low-risk patients was increase in the pathologic Gleason score (GS) (HR: 2.185, p-value 0.048). In addition, multivariate logistic analyses identified prostate specific antigen (PSA) (OR: 1.353, p-value 0.010), PSA density (OR: 1.160, p-value 0.013), and suspicious lesion on mpMRI (OR: 1.995, p-value 0.019) as the independent preoperative predictors associated with the pathologic GS upgrade. In our study, the pathologic GS upgrade after radical prostatectomy in very low-risk prostate cancer patients demonstrated a negative impact on BCR and mpMRI is a good prognostic tool to predict the pathologic GS upgrade. We believe that the implementation of mpMRI would be beneficial to determine the treatment strategy for these patients.
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Pepe, Pietro, Giuseppe Candiano, Ludovica Pepe, Michele Pennisi, and Filippo Fraggetta. "mpMRI PI-RADS score 3 lesions diagnosed by reference vs affiliated radiological centers: Our experience in 950 cases." Archivio Italiano di Urologia e Andrologia 93, no. 2 (June 28, 2021): 139–42. http://dx.doi.org/10.4081/aiua.2021.2.139.
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Introduction: The detection rate for clinically significant prostate cancer (csPCa) in men with mpMRI PI-RADS score 3 diagnosed by affiliated radiology centers vs radiological reference center was evaluated. Materials and methods: From January 2017 to December 2020, 950 men (median age 64 years) underwent mpMRI for abnormal PSA values (median 6.3 ng/ml). Among the 950 patients who underwent mpMRI 500 were evaluated by a reference center and 450 by outpatient radiological affiliated centers. All the mpMRI index lesions characterized by a PI-RADS 3 underwent targeted cores combined with extended prostate biopsy. Two radiologists of the radiological reference center revised all the mpMRI lesions 3. Results: Overall, 361/950 (38%) patients had a mpMRI lesion PI-RADS score 3: 120/500 cases (24%) vs 241/450 cases (53.5%) were diagnosed by reference vs affiliated radiological centers. The detection rate for cT1c csPCa was equal to 26.7% (35/120 cases) vs 16.6% (40/241 cases) in men with PI-RADS 3 lesions diagnosed in the reference vs the affiliated radiological centers (p < 0.05). Among the 241 PI-RADS score 3 lesions diagnosed by affiliated radiological centers 86/241 (35.7%) and 36/241 (15%) were downgraded (PI-RADS scores < 3) and upgraded (PI-RADS score 4) by the dedicated radiologists of the reference center. Conclusions: In our series, about 35% and 15% of PI-RADS score 3 lesions diagnosed by affiliated radiological centers were downgraded and upgraded when revised by experencied radiologists, therefore a second opinion is mandatory especially in men enrolled in active surveillance protocols in whom mpMRI is recommended to reduce the number of scheduled repeated prostate biopsies.