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Academic literature on the topic 'MpMRI'

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Published: 14 September 2024

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Journal articles on the topic "MpMRI"

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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&#39;s prostate differently rather than based on a pre-defined 12 core seems to be supported in the recent literature.
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Dissertations / Theses on the topic "MpMRI"

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Lei, Ye [Verfasser]. "Is It Appropriate to Use Only Magnetic Resonance Imaging/transrectal Ultrasound (MRI/TRUS) Fusion Targeted Biopsy for Diagnosis of Prostate Cancer in Patients with Positive mpMRI Results? / Ye Lei." Tübingen : Universitätsbibliothek Tübingen, 2018. http://d-nb.info/1227771495/34.

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Brun, Thomas. "Développement de méthode dosimétrique et de quantification du volume cible par IRM multiparamétrique pour le traitement ultra-focal du cancer de la prostate en curiethérapie de grains liés d'iode-125 personnalisés." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES071.

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Le traitement conventionnel du cancer localisé de la prostate, le plus fréquent chez l'homme, repose sur des approches de traitement de la glande entière et entraîne un risque important d'effets indésirables en termes de continence et de sexualité. A l'heure actuelle, les différentes stratégies de traitements peuvent être une chirurgie, une radiothérapie externe ou une curiethérapie interstitielle. Cependant, des échantillons chirurgicaux ont montré que chez une proportion significative de patients, le risque de progression du cancer était lié à un seul foyer de cancer indifférencié. De ce fait, le traitement de la lésion index primitive permettrait à la fois de lutter contre le cancer et de préserver la qualité de vie des patients. Bien que les développements récents des technologies d'imagerie et de biopsie puissent décrire l'étendue du cancer, le défi de focaliser avec précision le traitement sur la cible unique reste une tâche ardue, et les traitements focaux proposés entre la surveillance active du cancer de la prostate à faible risque et le traitement définitif des formes agressives sont encore des options en cours d'évaluation. En effet, les traitements focaux soulèvent donc des questions encore imparfaitement résolues pour un montage clinique optimal : Comment définir précisément le volume cible? Comment focaliser l'agent thérapeutique sur cette cible? Et enfin, comment surveiller le reste de la glande après le traitement ? Ce projet de thèse a pour but de développer et d'évaluer la faisabilité dosimétrique d'un traitement expérimental ultra-focal d'un cancer de la prostate par une technique de curiethérapie de grains liés d'iode 125 (I-125) et de développer une méthode de quantification dans la définition précise du foyer primitif tumoral à l'aide d'imagerie IRM multiparamétrique (IRMmp). Pour cela, le nombre et l'activité des grains d'I-125 utilisées pour la curiethérapie conventionnelle de la prostate sont définis sur la base du volume de la glande entière (environ 2 grains/cc). Par définition, la curiethérapie ultra-focale s'adresse à des cibles de formes complexes et de plus petits volumes, ce qui nous a poussé à développer une méthode dosimétrique d'implantation de multiples grains de faible activité. Deuxièmement, l'objectif de précision dans la délivrance des grains nous a conduit à mettre en œuvre l'utilisation séquentielle de trois systèmes d'imagerie distincts: l'IRMmp pour informer sur la position et le volume de la cible, l'échographie transrectale 3D (TRUS) pour délivrer un marqueur fiduciaire dans la cible tirant parti de la fusion non rigide avec l'IRMmp et une sonde échographique 2D biplanaire requis pour la planification du traitement et la pose des grains. Enfin, l'évaluation de la qualité du traitement - c'est-à-dire de la dose délivrée à la cible unique, par opposition à la glande entière en curiethérapie conventionnelle - a été rendu possible grâce au développement d'une méthode de quantification basée sur la définition précise de la position du volume cible tumoral à traiter à partir des données des imageries IRMmp et en comparaison par rapport aux données dosimétriques obtenues pour chaque patient de l'étude
The conventional treatment of localized prostate cancer, the most common cancer in men, is based on whole-gland treatment approaches and drives a significant risk of adverse effects in terms of continence and sexuality. Currently, various treatment strategies include surgery, external beam radiotherapy, or brachytherapy. However, surgical specimens have shown that in a significant proportion of patients, the risk of cancer progression is associated with a single focus of undifferentiated cancer. Therefore, treating the primary index lesion would achieve both cancer control and preservation of quality of life. Although recent developments in imaging and biopsy technologies can outline the extent of the cancer, the challenge of focusing the required precision with the treatment agent remains a daunting task, and focal treatments proposed between active surveillance of low-risk Prostate Cancer and definitive treatment of aggressive forms are still options under assessment Indeed, focal treatments raise questions that are still imperfectly resolved for an optimal clinical implementation: How to precisely define the target volume? How to focus the therapeutic agent on this target? And finally, how to monitor the rest of the gland after treatment? The aim of this thesis project is to develop and evaluate the dosimetric feasibility of an experimental ultra-focal treatment for prostate cancer using iodine-125 seeds brachytherapy and to develop a quantification method for the precise definition of the primary tumor focus using multiparametric MRI (mpMRI) imaging. To achieve this, the number and activity of I-125 seeds used for conventional prostate brachytherapy are defined based on the volume of the entire gland (approximately 2 seeds/cc). By definition, ultra-focal brachytherapy targets complex-shaped and smaller volumes, prompting us to develop a dosimetric method for implanting multiple seeds with low activity. Secondly, the precision objective in seed delivery led us to implement the sequential use of three distinct imaging systems: mpMRI to inform on the position and volume of the target, 3D transrectal ultrasound to deliver a fiducial marker into the target leveraging non-rigid fusion with mpMRI, and a 2D biplanar ultrasound probe required for treatment planning and seed placement. Finally, the evaluation of treatment quality - that is, the dose delivered to the single target as opposed to the entire gland in conventional brachytherapy - was made possible by developing a quantification method based on the precise definition of the position of the target tumor volume to be treated from mpMRI data and compared to dosimetric data obtained for each patient in the study
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Heckmann, Neele Charlotte Kreul [Verfasser]. "Quantitativer Gleason-Score und integrativer quantitativer Gleason-Score in mpMRT/Ultraschall-Fusionsbiopsien der Prostata / Neele Charlotte Kreul Heckmann." Hamburg : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020. http://d-nb.info/122962564X/34.

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Holager, Emma. "The impact of the private security industry on peace-building efforts in Africa : an assessment of Executive Outcomes, MPRI and DynCorp." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6866.

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Thesis (MA)--University of Stellenbosch, 2011.
ENGLISH ABSTRACT: The emergence and rapid growth of the private security industry in the 1990s followed from the downsizing of the armed forces in the aftermath of the Cold War and the development of new security threats which increased demand for military manpower and expertise. This has led to a redefinition of security strategies and the restructuring of armed forces by Western governments, which has resulted in the elimination of non-core activities from the functions of many armed forces. Recently it has been argued that the private security industry can challenge what previously was believed to be a primary responsibility of states, namely to take on peacebuilding initiatives and support to other peace operations. This study seeks to assess the impact of the private security industry in peacebuilding efforts in African conflicts. The study suggests that the private security industry have taken on a much stronger role in conflicts world wide since the 1990s, and that its activities have significantly changed. Companies such as MPRI and DynCorp have managed to keep close contact with their home governments, which arguably has been a crucial factor to their growing business. Furthermore, the private security industry have sought to distance itself from the negative connotations associated with mercenaries and the activities of companies such as Executive Outcomes in the 1990s, by avoiding operations involving elements of direct combat. This has been illustrated through the extensive case study of the activities of three private military and security companies: Executive Outcomes, MPRI and DynCorp. Furthermore, this thesis has confirmed an increased presence of the United States on the African continent post-9/11, illustrated by the presence of American-based private military and security companies which arguably are being used as proxies for US foreign policy purposes. Furthermore, this study has discussed the various implications the private security industry has on the traditional notion of the state’s monopoly on the legitimate use of force. This thesis has argued that the legitimate use to exercise violence is in the process of devolution from governments to other actors, which the extensive growth of the private security industry illustrates. Additionally, it has been argued that the privatisation of military and security services can harm the reliable delivery of essential services in conflict. Furthermore, the findings of this thesis has highlighted the dilemma that many countries do not want stricter regulation or elimination of the private security industry for the reason that these companies are viewed as valuable assets in fulfilling foreign policy objectives that for various reasons cannot be fulfilled by national armies.
AFRIKAANSE OPSOMMING: Die opkoms en vinnige groei van die privaatsekuriteitsbedryf in die 1990s was die gevolg van die afskaling van gewapende magte in die nasleep van die Koue Oorlog en die ontwikkeling van nuwe sekuriteitsbedreigings, wat die aanvraag na militêre arbeidskragte en kundigheid verhoog het. Dit het aanleiding gegee tot ’n herdefiniëring van sekuriteitstrategieë en die herstrukturering van gewapende magte deur Westerse regerings, met die gevolg dat niekernaktiwiteite van die funksies van talle gewapende magte uitgesluit is. Daar is onlangs aangevoer dat die privaatsekuriteitsbedryf aanspraak kan maak op ’n funksie wat voorheen as die primêre verantwoordelikheid van regerings beskou is, naamlik om vredesinisiatiewe en steun aan ander vredesverrigtinge te onderneem. Die doel van hierdie studie was om die impak van die privaatsekuriteitsbedryf in vredesinisiatiewe in Afrika-konflikte te assesseer. Daar word aan die hand gedoen dat die privaatsekuriteitsbedryf sedert die 1990’s ’n baie groter rol in wêreldwye konflikte gespeel het, en dat die aktiwiteite van hierdie bedryf aanmerklik verander het. Maatskappye soos MPRI en DynCorp was suksesvol daarin om nabye kontak met hul tuisregerings te behou, wat stellig ’n deurslaggewende faktor in hul groeiende besighede was. Voorts het die privaatsekuriteitsbedryf gepoog om hom te distansieer van die negatiewe konnotasies wat met huursoldate en die aktiwiteite van maatskappye soos Executive Outcomes in die 1990’s geassosieer is deur bedrywighede wat elemente van direkte stryd inhou, te vermy. Hierdie poging is geïllustreer deur die omvattende gevallestudie van die aktiwiteite van drie privaat militêre en sekuriteitsmaatskappye: EO, MPRI en DynCorp. Die bevindinge van die studie bevestig voorts die Verenigde State van Amerika (VSA) se toenemende teenwoordigheid op die Afrika-vasteland ná 9/11, wat duidelik blyk uit die teenwoordigheid van Amerikaansgebaseerde privaat militêre en sekuriteitsmaatskappye wat stellig as volmag gebruik word vir die VSA se buitelandsebeleidsdoelstellings. Die verskeie implikasies van die privaatsekuriteitsbedryf vir die tradisionele siening van die regerings se monopolie ten opsigte van die wettige gebruik van magte word ook in die studie bespreek. Daar word aangevoer dat die wettige gebruik van geweld in die proses van devolusie is vanaf regerings na ander rolspelers, wat deur die omvattende groei van die privaatsekuriteitsbedryf bevestig word. Daar word verder ook beweer dat die privatisering van militêre en sekuriteitsdienste die betroubare lewering van noodsaaklike dienste tydens konflik kan benadeel. Die studie se bevindinge werp ook lig op die dilemma dat talle lande strenger regulering of uitskakeling van die privaatsekuriteitsbedryf teëstaan omdat hierdie maatskappye beskou word as waardevolle bates in die bereiking van buitelandsebeleidsdoelwitte, wat vir verskeie redes nie deur nasionale leërs bereik kan word nie.
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Linhares, Mayklyns Marcos de Almeida. "Uso de veículo aéreo não tripulado na determinação de Índice de vegetação em área de pastagem em Nova Mutum-MT." Universidade Federal de Goiás, 2016. http://repositorio.bc.ufg.br/tede/handle/tede/5956.

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This study aimed to evaluate the performance of an Unmanned Aerial Vehicle (UAV) used to analysis of cultivated pasture areas. This evaluation was based on the comparison between the products of Vegetation Index calculated by orthomosaics from photos acquired by a UAV and the Percentage of Green collected in the ground level. The UAV Vegetation Index was the Modified Photochemical Reflectance Index (MPRI). It was held also a comparison between the Vegetation Indexes obtained with the UAV and an orbital platform being these the MPRI and the Normalized Difference Vegetation Index (NDVI) respectively. The data were collected monthly between July and December 2014. For comparison between the Percentage of Green and the MPRI was used 25 samples distributed along of transect established in ground level into the pasture area. For comparison between MPRI and NDVI other 15 samples were distributed along of the pasture area. The Percentage of Green relied on vertical photos acquired in the ground level. The MPRI resulted from aerial surveys done by UAV’s model “TIRIBA” that used the Canon PowerShot S100 camera coupled. The orthomosaics from aerial photos acquired on aerial surveys were generated in the Agisoft PhotoScan to calculate the MPRI after. The NDVI was calculated from surface reflectance images acquired by Landsat-8 satellite. Has been observed that Percentage of Green and MPRI are correlated and the same to be observed for MPRI and NDVI. There is also relationship in behavior of these products over time so was possible to conclude that both products could provide the necessary information for the characterization of the development of pasture between July and December 2014. Both products – Percentage of Green, MPRI and NDVI – feature advantages and limitations: the Percentage of Green is most sensitive for the changes into the pasture because of their detail high level (spatial resolution) but doesn’t have the income that the MPRI/UAV has and not provide the analysis of the whole area being necessary use to sampling; the MPRI/UAV has a higher sensitivity to record of the behavior of pasture when compared to NDVI/Landsat-8 bus the gain in the area imaged by orbital platform should not be disregarded. The correlation between Percentage of Green and MPRI and between MPRI and NDVI also suggests that these products can be used in conjunction to perform the monitoring of pasture areas.
Esta pesquisa teve por objetivo avaliar o desempenho de um Veículo Aéreo Não Tripulado (VANT) quando destinado à análise de áreas com pastagem cultivada. Tal avaliação teve por base a comparação entre o produto de Índice de Vegetação, calculado por intermédio de ortomosaicos de fotografias adquiridas por um VANT, e o parâmetro de Percentual de Verde coletado em solo. O Índice de Vegetação calculado com os dados do VANT foi o Modified Photochemical Reflectance Index (MPRI). Foi realizada também uma comparação entre os Índices de Vegetação obtidos com o VANT e por plataforma orbital, sendo esses índices o MPRI e o Normalized Difference Vegetation Index (NDVI), respectivamente. A coleta de dados foi realizada mensalmente entre julho e dezembro de 2014. Para a comparação entre o Percentual de Verde e o MPRI foram utilizadas 25 amostras distribuídas ao longo de um transecto estabelecido em solo. Para a comparação entre o MPRI e o NDVI foram utilizadas outras 15 amostras, distribuídas ao longo da área da pastagem. O Percentual de Verde se baseou em fotografias verticais obtidas em nível de solo. Já o MPRI resultou de aerolevantamentos com um VANT modelo TIRIBA, embarcado com uma câmera Canon PowerShot S100. Os ortomosaicos que serviram de base para o cálculo do MPRI foram gerados no programa Agisoft PhotoScan. O NDVI foi calculado com base em imagens de reflectância da superfície adquiridas pelo satélite Landsat-8. Como resultados observou-se que há correlação entre o Percentual de Verde e o MPRI, bem como entre o MPRI e o NDVI. Há também relação no comportamento desses produtos ao longo do tempo, de forma que foi possível concluir que ambos poderiam subsidiar as informações necessárias para a caracterização do desenvolvimento da pastagem em questão entre julho e dezembro de 2014. Concluiu-se ainda que ambos os produtos apresentam vantagens e limitações: o Percentual de Verde, em virtude de seu detalhamento (resolução espacial), é o mais sensível as alterações na pastagem, mas não tem o rendimento que o MPRI/VANT agrega por viabilizar a análise da área no todo, o que dispensa amostragem; o MPRI/VANT tem maior sensibilidade se comparado ao NDVI/Landsat-8 no registro do comportamento da pastagem, mas o ganho em área imageada pelo satélite não deve ser desconsiderado. A correlação entre o Percentual de Verde e o MPRI e entre o MPRI e o NDVI sugere também que esses produtos possam ser utilizados em conjunto no monitoramento de áreas de pastagens.
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Books on the topic "MpMRI"

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Michigan. Office of the Auditor General. Audit report: Performance audit of the Michigan Prisoner Reentry Initiative (MPRI), Department of Corrections. Lansing, Mich: Michigan Office of the Auditor General, 2012.

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The Secret Intelligence Economy. Burkley Research Press, 2011.

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Book chapters on the topic "MpMRI"

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Fascelli, Michele, Amichai Kilchevsky, Arvin K. George, and Peter A. Pinto. "Multiparametric MRI (mpMRI): Guided Focal Therapy." In The Prostate Cancer Dilemma, 187–200. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21485-6_13.

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Muftah, Asmail, S. M. Shermer, and Frank C. Langbein. "Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in MpMRI." In Lecture Notes in Computer Science, 118–31. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67285-9_9.

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Maurya, Satyajit, Virendra Kumar Yadav, Sumeet Agarwal, and Anup Singh. "Brain Tumor Segmentation in mpMRI Scans (BraTS-2021) Using Models Based on U-Net Architecture." In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 312–23. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09002-8_28.

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Sobecki, Piotr, Rafał Jóźwiak, and Ihor Mykhalevych. "Performance of Deep CNN and Radiologists in Prostate Cancer Classification: A Comparative Pilot Study." In Digital Interaction and Machine Intelligence, 85–92. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_9.

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AbstractIn recent years multiple deep-learning solutions have emerged that aim to assist radiologists in prostate cancer (PCa) diagnosis. Most of the studies however do not compare the diagnostic accuracy of the developed models to that of radiology specialists but simply report the model performance on the reference datasets. This makes it hard to infer the potential benefits and applicability of proposed methods in diagnostic workflows. In this paper, we investigate the effects of using pre-trained models in the differentiation of clinically significant PCa (csPCa) on mpMRI and report the results of conducted multi-reader multi-case pilot study involving human experts. The study aims to compare the performance of deep learning models with six radiologists varying in diagnostic experience. A subset of the ProstateX Challenge dataset counting 32 prostate lesions was used to evaluate the diagnostic accuracy of models and human raters using ROC analysis. Deep neural networks were found to achieve comparable performance to experienced readers in the diagnosis of csPCa. Results confirm the potential of deep neural networks in enhancing the cognitive abilities of radiologists in PCa assessment.
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Cacciamani, Giovanni E., Andre L. De Castro Abreu, Andrew Chen, Mihir Saha, Ugo Falagario, Eduardo B. Zukovksi, and Riccardo Autorino. "Use of Multiparametrric Magnetic Resonance Imaging (mpMRI) for Prostate Cancer: A Journey from 1.5 to 10 Tesla." In Anatomy for Urologic Surgeons in the Digital Era, 99–108. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59479-4_8.

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Weikel, W., T. Beck, H. Rosenthal, and H. J. Grill. "Immunhistochemische Progesteronrezeptorbestimmung (mPRI) beim Mammacarcinom." In Gynäkologie und Geburtshilfe 1988, 700–701. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74784-7_363.

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Gavade, Anil B., Rajendra B. Nerli, Pushkar Bansidhar Patil, Richa Ravi Siddannavar, Venkata Siva Prasad Bhagavatula, and Priyanka A. Gavade. "Prostate cancer segmentation of peripheral zone and central gland regions in mpMRI: comparative analysis with deep neural network U-Net and its advanced models." In Image Processing with Python, 7–1. IOP Publishing, 2024. http://dx.doi.org/10.1088/978-0-7503-5924-5ch7.

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Subburaman, Dhivya, Jagan J., Yıldırım Dalkiliç, and Pijush Samui. "Reliability Analysis of Slope Using MPMR, GRNN and GPR." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 208–24. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8823-0.ch007.

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First Order Second Moment Method (FOSM) is generally for determination of reliability of slope. This article adopts Minimax Probability Machine Regression (MPMR), Generalized Regression Neural Network (GRNN) and Gaussian Process Regression (GPR) for reliability analysis of slope by using FOSM. In this study, an example of soil slope is given regarding how the proposed GPR-based FOSM, MPMR-based FOSM and GRNN-based FOSM analysis can be carried out. GPR, GRNN and MPMR have been used as regression techniques. A comparative study has been carried out between the developed GPR, MPMR and GRNN models. The results show that MPMR gives better performance than the other models.
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Subburaman, Dhivya, Jagan J., Yıldırım Dalkiliç, and Pijush Samui. "Reliability Analysis of Slope Using MPMR, GRNN and GPR." In Civil and Environmental Engineering, 712–26. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9619-8.ch030.

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First Order Second Moment Method (FOSM) is generally for determination of reliability of slope. This article adopts Minimax Probability Machine Regression (MPMR), Generalized Regression Neural Network (GRNN) and Gaussian Process Regression (GPR) for reliability analysis of slope by using FOSM. In this study, an example of soil slope is given regarding how the proposed GPR-based FOSM, MPMR-based FOSM and GRNN-based FOSM analysis can be carried out. GPR, GRNN and MPMR have been used as regression techniques. A comparative study has been carried out between the developed GPR, MPMR and GRNN models. The results show that MPMR gives better performance than the other models.
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Jayabalan, Jagan, Sanjiban Sekhar Roy, Pijush Samui, and Pradeep Kurup. "Intelligent Models Applied to Elastic Modulus of Jointed Rock Mass." In Advances in Civil and Industrial Engineering, 1–30. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2709-1.ch001.

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Elastic Modulus (Ej) of jointed rock mass is a key parameter for deformation analysis of rock mass. This chapter adopts three intelligent models {Extreme Learning Machine (ELM), Minimax Probability Machine Regression (MPMR) and Generalized Regression Neural Network (GRNN)} for determination of Ej of jointed rock mass. MPMR is derived in a probability framework. ELM is the modified version of Single Hidden Layer Feed forward network. GRNN approximates any arbitrary function between the input and output variables. Joint frequency (Jn), joint inclination parameter (n), joint roughness parameter (r), confining pressure (s3) (MPa), and elastic modulus (Ei) (GPa) of intact rock have been taken as inputs of the ELM, GRNN and MPMR models. The output of ELM, GRNN and MPMR is Ej of jointed rock mass. In this study, ELM, GRNN and MPMR have been used as regression techniques. The developed GRNN, ELM and MPMR have been compared with the Artificial Neural Network (ANN) models.
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Conference papers on the topic "MpMRI"

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Satish, Pranav, Alex Freeman, Daniel Kelly, Alex Kirkham, Clement Orczyk, Benjamin Simpson, Francesco Giganti, Hayley Whitaker, Mark Emberton, and Joseph Norris. "Prostate cancer topography and tumour conspicuity on multiparametric magnetic resonance imaging: A systematic review and meta-analysis." In VIRTUAL ACADEMIC SURGERY CONFERENCE 2021. Cambridge Medicine Journal, 2021. http://dx.doi.org/10.7244/cmj.2021.04.001.2.

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Introduction The implications of tumour location on mpMRI conspicuity are not fully understood. Identifying topographical correlates that influence conspicuity may improve outcomes. Here, we present the first systematic review and meta-analysis describing the effect of tumour location on prostate cancer conspicuity on mpMRI. Methods Medline, PubMed, EMBASE and Cochrane databases were systematically searched and results were assessed as per the PRISMA statement. Differential tumour conspicuity on mpMRI was compared between cancers in the peripheral zone (PZ), transitional zone (TZ), base, apex, anterior and posterior. Meta-analysis was conducted to compare diagnostic odds ratios (DOR) of mpMRI detection for tumours in the PZ and TZ. PROSPERO registration: CRD42021228087. Results Thematic synthesis showed apical and basal tumours had reduced conspicuity compared to mid-gland tumours. Cancer in the TZ demonstrated increased conspicuity on T2-weighted imaging, whilst PZ cancers had higher conspicuity on diffusion-weighted and dynamic contrast enhancement imaging. mpMRI had better diagnostic accuracy for PZ lesions, albeit higher specificity for TZ lesions. Meta-analysis showed an increased DOR for PZ tumours (OR: 7.206 [95% CI: 4.991;10.403], compared to TZ (OR: 5.310 [95% CI: 3.082; 9.151]). However, the test for subgroup differences was not significant (p = 0.2743). Conclusions Cancer in the apex or base of the prostate may be less conspicuous than mid-gland tumours. Similarly, TZ cancer appears to have reduced conspicuity compared to PZ cancer, however, meta-analysis did not show a significant difference between DOR. Future larger studies with prospective datasets are required to clarify the relationship between tumour position and conspicuity.
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Shukla, Tushar Dhar, K. Kalpana., Richa Gupta, D. Kalpanadevi, Md Abul Ala Walid, and K. Keshav Kumar. "A Novel Machine Learning Algorithm for Prostate Cancer Image Segmentation using mpMRI." In 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS). IEEE, 2023. http://dx.doi.org/10.1109/icscss57650.2023.10169504.

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Palmeri, Mark, Tyler Glass, Rajan Gupta, Matt McCormick, Alison Brown, Thomas Polascik, Stephen Rosenzweig, Andrew Buck, and Kathy Nightingale. "Comparison between 3D ARFI imaging and mpMRI in detecting clinically-significant prostate cancer lesions." In 2016 IEEE International Ultrasonics Symposium (IUS). IEEE, 2016. http://dx.doi.org/10.1109/ultsym.2016.7728618.

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Chen, Quan, Xiang Xu, Shiliang Hu, Xiao Li, Qing Zou, and Yunpeng Li. "A transfer learning approach for classification of clinical significant prostate cancers from mpMRI scans." In SPIE Medical Imaging, edited by Samuel G. Armato and Nicholas A. Petrick. SPIE, 2017. http://dx.doi.org/10.1117/12.2279021.

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Kwak, Sunwoo, Akbari Hamed, Jose A. Garcia, Suyash Mohan, and Christos Davatzikos. "Fully automatic mpMRI analysis using deep learning predicts peritumoral glioblastoma infiltration and subsequent recurrence." In Image Processing, edited by Olivier Colliot and Jhimli Mitra. SPIE, 2024. http://dx.doi.org/10.1117/12.3001752.

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Pearlson, Joshua, and Franklin King. "Mapping clinically significant lesions from mpMRI using convolution neural network: feasibility assessment in MRI-guided biopsy cases." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Cristian A. Linte and Jeffrey H. Siewerdsen. SPIE, 2021. http://dx.doi.org/10.1117/12.2582228.

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Prive, B., B. Israël, M. Janssen, P. Zámecnik, M. Van der Leest, W. van Gemert, M. Gotthardt, et al. "MpMRI and [18F]PSMA-1007 PET to detect local prostate cancer: a prospective comparative study with correlation to histopathology." In 61. Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin. Georg Thieme Verlag, 2023. http://dx.doi.org/10.1055/s-0043-1766143.

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Zong, Weiwei, Eric N. Carver, Aharon Feldman, Nallasivam Palanisamy, and Ning Wen. "Abstract 5302: Molecular subtype stratification for prostate cancer from mpMRI and histopathology images using convolutional neural networks and transfer learning." In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-5302.

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Karzai, Fatima, Anna Couvillon, Yolanda McKinney, Katherine Lee-Wisdom, Peter L. Choyke, Veda N. Giri, Todd M. Morgan, et al. "Abstract 2605: A natural history study of men with high-risk genetics for prostate cancer (PCa) using multiparametric MRI (mpMRI)." In Proceedings: AACR Annual Meeting 2021; April 10-15, 2021 and May 17-21, 2021; Philadelphia, PA. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1538-7445.am2021-2605.

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Miksch, J., C. Solbach, M. Beer, T. Wiegel, C. Bolenz, F. Zengerling, A. J. Beer, and W. Thaiss. "Head-to-head comparison of mpMRI and PET imaging using [F-18]siPSMA-14 in primary staging of prostate cancer patients." In RÖKO 2023. Georg Thieme Verlag, 2023. http://dx.doi.org/10.1055/s-0043-1763109.

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Reports on the topic "MpMRI"

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Thomas Austin, Evan, Paul Kang, Chinedu Mmeje, Joseph Mashni, Mark Brenner, Phillip Koo, and John C Chang. Validation of PI-RADS v2 Scores at Various Non-University Radiology Practices. Science Repository, December 2021. http://dx.doi.org/10.31487/j.aco.2021.02.02.

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Purpose: The purpose of this study was to validate the second version of the Prostate Imaging Reporting and Data System (PI-RADSv2) scores in predicting positive in-bore MRI-guided targeted prostate biopsy results across different non-university related institutions. The study focuses on PI-RADS v2 scoring because during the study period, PI-RADS v2.1 had not been released. Materials and Methods: This was a retrospective review of 147 patients who underwent multiparametric magnetic resonance imaging (mpMRI) of the pelvis followed by in-bore MRI-guided targeted prostate biopsy from December 2014 to May 2018. All lesions on mpMRI were rated according to PI-RADS v2 criteria. PI-RADS v2 scores were then compared to MR-guided biopsy results and pre-biopsy PSA values. Results: Prostate Cancer (PCa) was detected in 54% (80/147) of patients, with more prostate cancer being detected with each subsequent increase in PI-RADS scores. Specifically, biopsy results in patients with PI-RADS 3, 4, and 5 lesions resulted in PCa in 25.6% (10/39), 58.1% (33/55), and 86.0% (37/43) respectively. Clinically significant PCa (Gleason score ≥7) was detected in 17.9% (7/39), 52.7% (29/55), and 72% (31/43) of cases for PI-RADS 3, 4, and 5 lesions respectively. When the PI-RADS scoring and biopsy results were compared across different institutions, there was no difference in the PI-RADS scoring of lesions or in the positive biopsy rates of the lesions. The sensitivity, specificity, PPV, and NPV for PI-RADS 3-4 lesions were also not statistically different across the institutions for detecting Gleason 7 or greater lesions. Conclusion: Our results agree with prior studies that higher PI-RADS scores are associated with the presence of clinically significant PCa and suggest prostate lesions with PI-RADS scores 3-5 have sufficient evidence to warrant targeted biopsy. The comparison of PI-RADS score across different types of non-university practices revealed no difference in scoring and biopsy outcome, suggesting that PI-RADS v2 can be easily applied outside of the university medical center setting. Clinical Relevance: PI-RADS v2 can be applied homogeneously in the non-university setting without significant difference in outcome.
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Specht, Paul Elliott, Marcia A. Cooper, and Brook Anton Jilek. Development of a Multi-Point Microwave Interferometry (MPMI) Method. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1221575.

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Multiparametric magnetic resonance imaging (mpMRI) of the prostate gland. BJUI Knowledge, March 2016. http://dx.doi.org/10.18591/bjuik.0159.

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