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Готові списки джерел за темами / Perfusion computed tomography / Статті в журналах

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Статті в журналах з теми "Perfusion computed tomography"

Автор: Grafiati

Опубліковано: 11 березня 2023

Оновлено: 6 вересня 2023

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1

Branch, Kelley R., Ryan D. Haley, Marcio Sommer Bittencourt, Amit R. Patel, Edward Hulten, and Ron Blankstein. "Myocardial computed tomography perfusion." Cardiovascular Diagnosis and Therapy 7, no. 5 (October 2017): 452–62. http://dx.doi.org/10.21037/cdt.2017.06.11.

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2

Ogul, Hayri, Ummugulsum Bayraktutan, Yesim Kizrak, Berhan Pirimoglu, Zeynep Yuceler, and M. Erdem Sagsoz. "Abdominal Perfusion Computed Tomography." Eurasian Journal of Medicine 45, no. 1 (February 1, 2013): 50–57. http://dx.doi.org/10.5152/eajm.2013.09.

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3

Albuquerque, Felipe C. "Editorial: Computed tomography perfusion." Neurosurgical Focus 30, no. 6 (June 2011): E9. http://dx.doi.org/10.3171/2011.3.focus1184.

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4

Jain, Rajan, Lisa Scarpace, Shehanaz Ellika, Lonni R. Schultz, Jack P. Rock, Mark L. Rosenblum, Suresh C. Patel, Ting-Yim Lee, and Tom Mikkelsen. "FIRST-PASS PERFUSION COMPUTED TOMOGRAPHY." Neurosurgery 61, no. 4 (October 1, 2007): 778–87. http://dx.doi.org/10.1227/01.neu.0000298906.48388.26.

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Abstract OBJECTIVE To differentiate recurrent tumors from radiation effects and necrosis in patients with irradiated brain tumors using perfusion computed tomographic (PCT) imaging. METHODS Twenty-two patients with previously treated brain tumors who showed recurrent or progressive enhancing lesions on follow-up magnetic resonance imaging scans and had a histopathological diagnosis underwent first-pass PCT imaging (26 PCT imaging examinations). Another eight patients with treatment-naïve, high-grade tumors (control group) also underwent PCT assessment. Perfusion maps of cerebral blood volume, cerebral blood flow, and mean transit time were generated at an Advantage Windows workstation using the CT perfusion 3.0 software (General Electric Medical Systems, Milwaukee, WI). Normalized ratios (normalized to normal white matter) of these perfusion parameters (normalized cerebral blood volume [nCBV], normalized cerebral blood flow [nCBF], and normalized mean transit time [nMTT]) were used for final analysis. RESULTS Fourteen patients were diagnosed with recurrent tumor, and eight patients had radiation necrosis. There was a statistically significant difference between the two groups, with the recurrent tumor group showing higher mean nCBV (2.65 versus 1.10) and nCBF (2.73 versus 1.08) and shorter nMTT (0.71 versus 1.58) compared with the radiation necrosis group. For nCBV, a cutoff point of 1.65 was found to have a sensitivity of 83.3% and a specificity of 100% to diagnose recurrent tumor and radiation necrosis. Similar sensitivity and specificity were 94.4 and 87.5%, respectively, for nCBF with a cutoff point of 1.28 and 94.4 and 75%, respectively, for nMTT with a cutoff point of 1.44 to diagnose recurrent tumor and radiation necrosis. CONCLUSION PCT may aid in differentiating recurrent tumors from radiation necrosis on the basis of various perfusion parameters. Recurrent tumors show higher nCBV and nCBF and lower nMTT compared with radiation necrosis.

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5

Vehabovic-Delic, Aida, Marija Balic, Christopher Rossmann, Thomas Bauernhofer, Hannes A. Deutschmann, and Helmut Schoellnast. "Volume Computed Tomography Perfusion Imaging." Journal of Computer Assisted Tomography 43, no. 3 (2019): 493–98. http://dx.doi.org/10.1097/rct.0000000000000848.

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6

Achenbach, Stephan. "Stress Computed Tomography Myocardial Perfusion." Journal of the American College of Cardiology 54, no. 12 (September 2009): 1085–87. http://dx.doi.org/10.1016/j.jacc.2009.05.048.

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7

Rubiera, Marta, Alvaro Garcia-Tornel, Marta Olivé-Gadea, Daniel Campos, Manuel Requena, Carla Vert, Jorge Pagola, et al. "Computed Tomography Perfusion After Thrombectomy." Stroke 51, no. 6 (June 2020): 1736–42. http://dx.doi.org/10.1161/strokeaha.120.029212.

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Background and Purpose— Despite recanalization, almost 50% of patients undergoing endovascular treatment (EVT) experience poor outcome. We aim to evaluate the value of computed tomography perfusion as immediate outcome predictor postendovascular treatment. Methods— Consecutive patients receiving endovascular treatment who achieved recanalization (modified Thrombolysis in Cerebral Ischemia [mTICI] 2a-3) underwent computed tomography perfusion within 30 minutes from recanalization (CTPpost). Hypoperfusion was defined as the Tmax>6 second volume; hyperperfusion as visually increased cerebral blood flow/cerebral blood volume with reduced Tmax compared with unaffected hemisphere. Dramatic clinical recovery (DCR) was defined as 24-hour National Institutes of Health Stroke Scale score ≤2 or ≥8 points drop. Delayed recovery was defined as no-DCR with favorable outcome (modified Rankin Scale score 0–2) at 3 months. Results— We included 151 patients: median National Institutes of Health Stroke Scale score 16 (interquartile range, 10–21), median admission ASPECTS 9 (interquartile range, 8–10). Final recanalization was the following: mTICI2a 11 (7.3%), mTICI2b 46 (30.5%), and mTICI3 94 (62.3%). On CTPpost, 80 (52.9%) patients showed hypoperfusion (median Tmax>6 seconds: 4 cc [0–25]) and 32 (21.2%) hyperperfusion. There was an association between final TICI and CTPpost hypoperfusion(median Tmax>6: 91 [56–117], 15 [0–37.5], and 0 [0–7] cc, for mTICI 2a, 2b, and 3, respectively, P <0.01). Smaller hypoperfusion volumes on CTPpost were observed in patients with DCR (0 cc [0–13] versus non-DCR 8 cc [0–56]; P <0.01) or favorable outcome (modified Rankin Scale score 0–2: 0 cc [0–13] versus 7 [0–56] cc; P <0.01). No associations were detected with hyperperfusion pattern. An hypoperfusion volume <3.5 cc emerged as independent predictor of DCR (OR, 4.1 [95% CI, 2.0–8.3]; P <0.01) and 3 months favorable outcome (OR, 3.5 [95% CI, 1.6–7.8]; P <0.01). Conclusions— Hypoperfusion on CTPpost constitutes an immediate accurate surrogate marker of success after endovascular treatment and identifies those patients with delayed recovery and favorable outcome.

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8

Miles, K. A. "Brain perfusion: computed tomography applications." Neuroradiology 46, S2 (December 2004): s194—s200. http://dx.doi.org/10.1007/s00234-004-1333-9.

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9

Garcia-Esperon, Carlos, Andrew Bivard, Christopher Levi, and Mark Parsons. "Use of computed tomography perfusion for acute stroke in routine clinical practice: Complex scenarios, mimics, and artifacts." International Journal of Stroke 13, no. 5 (March 15, 2018): 469–72. http://dx.doi.org/10.1177/1747493018765493.

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Background Computed tomography perfusion is becoming widely accepted and used in acute stroke treatment. Computed tomography perfusion provides pathophysiological information needed in the acute decision making. Moreover, computed tomography perfusion shows excellent correlation with diffusion-weighted imaging and perfusion-weighted sequences to evaluate core and penumbra volumes. Multimodal computed tomography perfusion has practical advantages over magnetic resonance imaging, including availability, accessibility, and speed. Nevertheless, it bears some limitations, as the limited accuracy for small ischemic lesions or brainstem ischemia. Interpretation of the computed tomography perfusion maps can sometimes be difficult. The stroke neurologist faces complex or atypical cases of cerebral ischemia and stroke mimics, and needs to decide whether the “lesions” on computed tomography perfusion are real or artifact. Aims The purpose of this review is, based on clinical cases from a comprehensive stroke center, to describe the added value that computed tomography perfusion can provide to the stroke physician in the acute phase before a treatment decision is made.

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10

Leiva-Salinas, Carlos, Bin Jiang, and Max Wintermark. "Computed Tomography, Computed Tomography Angiography, and Perfusion Computed Tomography Evaluation of Acute Ischemic Stroke." Neuroimaging Clinics of North America 28, no. 4 (November 2018): 565–72. http://dx.doi.org/10.1016/j.nic.2018.06.002.

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11

Salihoğlu, Yavuz Sami, Tarık Elri, and Mustafa Aras. "Lung Ventilation Perfusion Single Photon Emission Computed Tomography/Computer Tomography Imaging." Nuclear Medicine Seminars 2, no. 1 (April 1, 2016): 37–41. http://dx.doi.org/10.4274/nts.2016.006.

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12

ROBERTS, H. "Neuromaging techniques in cerebrovascular disease: Computed tomography angiography/computed tomography perfusion." Seminars in Cerebrovascular Diseases and Stroke 1, no. 4 (December 2001): 303–16. http://dx.doi.org/10.1053/scds.2001.29100.

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13

Siegler, James E., Jon Rosenberg, Daniel Cristancho, Andrew Olsen, Johannes Pulst-Korenberg, Lindsay Raab, Brett Cucchiara, and Steven R. Messé. "Computed tomography perfusion in stroke mimics." International Journal of Stroke 15, no. 3 (August 14, 2019): 299–307. http://dx.doi.org/10.1177/1747493019869702.

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Objective To describe the prevalence and patterns of abnormal findings on automated computed tomography perfusion in patients with stroke mimic. Methods We reviewed a retrospective multi-site cohort of consecutive patients undergoing computed tomography perfusion for suspected acute ischemic stroke within 24 h from last normal (June 2017 to December 2017). The primary outcome was the diagnosis of stroke mimic. Hypoperfusion abnormalities on iSchemaView RAPID automated computed tomography perfusion were compared between patients with stroke/transient ischemic attack and stroke mimic using mixed-effects multivariable logistic regression, focusing on absence of perfusion abnormalities and discordance with clinical symptoms and computed tomography angiography findings. Results Of 410 consecutive patients who underwent computed tomography perfusion, 348 met inclusion criteria (178 (51%) stroke, 19 (6%) transient ischemic attack, and 151 (43%) mimic). Time-to-maximum of the tissue residue function (Tmax>6s) abnormalities were seen in 42 (28%) patients with stroke mimic and 122 (62%) patients with stroke/transient ischemic attack ( p < 0.001). Patients with stroke mimic were more likely to have a normal Tmax pattern (volume = 0mL; adjusted OR: 2.2, 95% CI: 1.1–4.3, p = 0.02). When the Tmax pattern was abnormal, a higher proportion of patients with stroke mimic had Tmax patterns fully discordant with clinical symptoms than patients with stroke/transient ischemic attack (28/39 (71%) vs. 10/115 (9%), p < 0.001). Fully discordant Tmax abnormalities were strongly associated with stroke mimic (adjusted OR: 48.6, 95% CI: 7.0–336, p < 0.001), with a negative predictive value for identifying mimic of 91% (95% CI: 85–94%). Conclusion While one-quarter of patients with stroke mimic show Tmax abnormalities on automated RAPID computed tomography perfusion imaging, the majority of patterns were discordant with symptoms and vessel status. Normal or fully discordant Tmax abnormalities are were more common with stroke mimic and may inform stroke treatment decision making.

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14

GOULD, ROBERT G. "Perfusion Quantitation by Ultrafast Computed Tomography." Investigative Radiology 27 (December 1992): S18—S21. http://dx.doi.org/10.1097/00004424-199212002-00004.

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15

Osimani, Marcello, Davide Bellini, Antonio Pastore, Giovanni Palleschi, Claudio Di Cristofano, Marco Rengo, Natale Porta, et al. "Computed Tomography Perfusion of Prostate Cancer." Journal of Computer Assisted Tomography 40, no. 5 (2016): 740–45. http://dx.doi.org/10.1097/rct.0000000000000432.

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16

BRUNDAGE, B. "Beyond Perfusion with Ultrafast Computed Tomography." American Journal of Cardiology 75, no. 11 (April 1995): 69D—73D. http://dx.doi.org/10.1016/s0002-9149(99)80404-4.

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17

Jiang, Bin, Robyn L. Ball, Patrik Michel, Ying Li, Guangming Zhu, Victoria Ding, Bochao Su, et al. "Factors influencing infarct growth including collateral status assessed using computed tomography in acute stroke patients with large artery occlusion." International Journal of Stroke 14, no. 6 (May 17, 2019): 603–12. http://dx.doi.org/10.1177/1747493019851278.

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In major ischemic stroke caused by a large artery occlusion, neuronal loss varies considerably across individuals without revascularization. This study aims to identify which patient characteristics are most highly associated with this variability. Demographic and clinical information were retrospectively collected on a registry of 878 patients. Imaging biomarkers including Alberta Stroke Program Early CT score, noncontrast head computed tomography infarct volume, perfusion computed tomography infarct core and penumbra, occlusion site, collateral score, and recanalization status were evaluated on the baseline and early follow-up computed tomography images. Infarct growth rates were calculated by dividing infarct volumes by the time elapsed between the computed tomography scan and the symptom onset. Collateral score was graded into four levels (0, 1, 2, and 3) in comparison with the normal side. Correlation of perfusion computed tomography and noncontrast head computed tomography infarct volumes and infarct growth rates were estimated with the nonparametric Spearman's rank correlation. Conditional inference trees were used to identify the clinical and imaging biomarkers that were most highly associated with the infarct growth rate and modified Rankin Scale at 90 days. Two hundred and thirty-two patients met the inclusion criteria for this study. The median infarct growth rates for perfusion computed tomography and noncontrast head computed tomography were 11.2 and 6.2 ml/log(min) in logarithmic model, and 18.9 and 10.4 ml/h in linear model, respectively. Noncontrast head computed tomography and perfusion computed tomography infarct volumes and infarct growth rates were significantly correlated (rho=0.53; P < 0.001). Collateral status was the strongest predictor for infarct growth rates. For collateral=0, the perfusion computed tomography and noncontrast head computed tomography infarct growth rate were 31.56 and 16.86 ml/log(min), respectively. Patients who had collateral >0 and penumbra volumes>92 ml had the lowest predicted perfusion computed tomography infarct growth rates (6.61 ml/log(min)). Collateral status was closely related to the diversity of infarct growth rates, poor collaterals were associated with a faster infarct growth rates and vice versa.

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18

Maurer, Christoph J., Antje Aschendorff, and Horst Urbach. "Diagnosis of a tympanic paraganglioma with CT perfusion imaging: a technical note and case description." Neuroradiology Journal 31, no. 3 (November 24, 2017): 324–27. http://dx.doi.org/10.1177/1971400917744573.

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Paragangliomas can be diagnosed accurately using magnetic resonance imaging and dynamic four-dimensional magnetic resonance angiography. Four-dimensional imaging uses the highly vascularised structure of these tumours, which results in a homogenous capillary blush and usually, due to the arteriovenous shunting, in an early draining vein. By these features the tumour can be differentiated from other neoplasms. The authors describe a case of a paraganglioma localised in the middle ear of an elderly patient. Magnetic resonance contraindications led to preoperative diagnostics with high resolution computed tomography of the temporal bone and additionally computed tomography perfusion imaging instead of magnetic resonance imaging with four-dimensional magnetic resonance angiography. Using the computed tomography perfusion dataset, regions of interest were placed in the carotid artery, the sigmoid sinus and the tympanic mass. In the computer-assisted analysis the tumour showed late arterial enhancement and delayed wash-out compared to the enhancement curves of the carotid artery and the sigmoid sinus. This corresponded to the highly vascularised nature of a paraganglioma. On postoperative follow-up imaging computed tomography perfusion showed almost no enhancement of a small residual tympanic mass, which was then considered to be granulation tissue. In conclusion, in the case of magnetic resonance contraindications the preoperative diagnosis of tympanic paraganglioma can be made using computed tomography imaging criteria alone. Computed tomography perfusion imaging may be helpful in these cases to detect residual or recurrent tumour.

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19

Lin, Longting, Andrew Bivard, and Mark W. Parsons. "Perfusion Patterns of Ischemic Stroke on Computed Tomography Perfusion." Journal of Stroke 15, no. 3 (2013): 164. http://dx.doi.org/10.5853/jos.2013.15.3.164.

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20

Janssen, Marco H. M., Hugo J. W. L. Aerts, Jeroen Buijsen, Philippe Lambin, Guido Lammering, and Michel C. Öllers. "Repeated Positron Emission Tomography-Computed Tomography and Perfusion-Computed Tomography Imaging in Rectal Cancer: Fluorodeoxyglucose Uptake Corresponds With Tumor Perfusion." International Journal of Radiation Oncology*Biology*Physics 82, no. 2 (February 2012): 849–55. http://dx.doi.org/10.1016/j.ijrobp.2010.10.029.

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21

Galyavich, A. S., A. Y. Rafikov, and G. B. Saifullina. "Comparative analysis of echocardiography, multispiral computed tomography, myocardial perfusion scintigraphy in left ventricular mass evaluation." Kazan medical journal 93, no. 6 (December 15, 2012): 855–58. http://dx.doi.org/10.17816/kmj2091.

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Aim. To perform a comparative analysis of multispiral computed tomography, echocardiography and myocardial perfusion scintigraphy in the evaluation of left ventricular mass. Methods. The study included 44 patients (15 female, 29 male) aged of 21 to 73 years (mean age was 55±11 years). Left ventricular mass was assessed by noninvasive multispiral computed tomography coronary angiography using the 64-slice «Aquillon 64» (Toshiba, Japan) scanner. Echocardiographic evaluation was performed on the «Vivid-7» (GE, USA) ultrasound system. Scintigraphic analysis of left ventricular mass was performed on the single-detector gamma camera «Millenium-MPR» (GE, USA) using the «4-D MSPECT» (University of Michigan Medical Center) software. Results. A comparative analysis of left ventricular mass showed that the differences in median values were statistically significant between all the methods presented. The differences in left ventricular mass calculated using the Bland-Altman method were as follows: between multispiral computed tomography and echocardiography -32±41 gr, between multispiral computed tomography and myocardial perfusion scintigraphy «4-D MSPECT» 34±48 gr. Conclusion. Multispiral computed tomography, echocardiography, myocardial perfusion scintigraphy assess left ventricular mass differently, with myocardial perfusion scintigraphy giving the lowest and echocardiography giving the highest mass. Results gained at multispiral computed tomography lies in between the myocardial perfusion scintigraphy and echocardiography.

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22

HIROTA, Morihisa, Masashi TSUDA, Yoshihisa TSUJI, and Tooru SHIMOSEGAWA. "Perfusion computed tomography imaging of autoimmune pancreatitis." Suizo 26, no. 1 (2011): 54–58. http://dx.doi.org/10.2958/suizo.26.54.

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23

Avsenik, Jernej, Sotirios Bisdas, and Katarina Surlan Popovic. "Blood-brain barrier permeability imaging using perfusion computed tomography." Radiology and Oncology 49, no. 2 (June 1, 2015): 107–14. http://dx.doi.org/10.2478/raon-2014-0029.

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Abstract Background. The blood-brain barrier represents the selective diffusion barrier at the level of the cerebral microvascular endothelium. Other functions of blood-brain barrier include transport, signaling and osmoregulation. Endothelial cells interact with surrounding astrocytes, pericytes and neurons. These interactions are crucial to the development, structural integrity and function of the cerebral microvascular endothelium. Dysfunctional blood-brain barrier has been associated with pathologies such as acute stroke, tumors, inflammatory and neurodegenerative diseases. Conclusions. Blood-brain barrier permeability can be evaluated in vivo by perfusion computed tomography - an efficient diagnostic method that involves the sequential acquisition of tomographic images during the intravenous administration of iodinated contrast material. The major clinical applications of perfusion computed tomography are in acute stroke and in brain tumor imaging.

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24

Koike, Hirofumi, Eijun Sueyoshi, Hiroki Nagayama, Kazuto Ashizawa, Ichiro Sakamoto, Masataka Uetani, Takashi Kudo, and Satoshi Ikeda. "Discrepancy between Dual-Energy Computed Tomography Lung Perfusion Blood Volume and Lung Perfusion Single-Photon Emission Computed Tomography/Computed Tomography Images in Pulmonary Embolism." American Journal of Respiratory and Critical Care Medicine 189, no. 12 (June 15, 2014): e71-e72. http://dx.doi.org/10.1164/rccm.201306-1139im.

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25

Castillo, Edward, Girish Nair, Danielle Turner‐Lawrence, Nicholas Myziuk, Scott Emerson, Sayf Al‐Katib, Sarah Westergaard, et al. "Quantifying pulmonary perfusion from noncontrast computed tomography." Medical Physics 48, no. 4 (March 11, 2021): 1804–14. http://dx.doi.org/10.1002/mp.14792.

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26

García-Tornel, Álvaro, Daniel Campos, Marta Rubiera, Sandra Boned, Marta Olivé-Gadea, Manuel Requena, Ludovico Ciolli, et al. "Ischemic Core Overestimation on Computed Tomography Perfusion." Stroke 52, no. 5 (May 2021): 1751–60. http://dx.doi.org/10.1161/strokeaha.120.031800.

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Background and Purpose: Different studies have pointed that CT perfusion (CTP) could overestimate ischemic core in early time window. We aim to evaluate the influence of time and collateral status on ischemic core overestimation. Methods: Retrospective single-center study including patients with anterior circulation large-vessel stroke that achieved reperfusion after endovascular treatment. Ischemic core and collateral status were automatically estimated on baseline CTP using commercially available software. CTP-derived core was considered as tissue with a relative reduction of cerebral blood flow <30%, as compared with contralateral hemisphere. Collateral status was assessed using the hypoperfusion intensity ratio (defined by the proportion of the time to maximum of tissue residue function >6 seconds with time to maximum of tissue residue function >10 seconds). Final infarct volume was measured on 24 to 48 hours noncontrast CT. Ischemic core overestimation was considered when CTP-derived core was larger than final infarct. Results: Four hundred and seven patients were included in the analysis. Median CTP-derived core and final infarct volume were 7 mL (interquartile range, 0–27) and 20 mL (interquartile range, 5–55), respectively. Median hypoperfusion intensity ratio was 0.46 (interquartile range, 0.23–0.59). Eighty-three patients (20%) presented ischemic core overestimation (median overestimation, 12 mL [interquartile range, 41–5]). Multivariable logistic regression analysis adjusted by CTP-derived core and confounding variables showed that poor collateral status (per 0.1 hypoperfusion intensity ratio increase; adjusted odds ratio, 1.41 [95% CI, 1.20–1.65]) and earlier onset to imaging time (per 60 minutes earlier; adjusted odds ratio, 1.14 [CI, 1.04–1.25]) were independently associated with core overestimation. No significant association was found with imaging to reperfusion time (per 30 minutes earlier; adjusted odds ratio, 1.17 [CI, 0.96–1.44]). Poor collateral status influence on core overestimation differed according to onset to imaging time, with a stronger size of effect on early imaging patients( P interaction <0.01). Conclusions: In patients with large-vessel stroke that achieve reperfusion after endovascular therapy, poor collateral status might induce higher rates of ischemic core overestimation on CTP, especially in patients in earlier window time. CTP reflects a hemodynamic state rather than tissue fate; collateral status and onset to imaging time are important factors to consider when estimating core on CTP.

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27

Mukherjee, Sugoto, Prashant Raghavan, and C. Douglas Phillips. "Computed Tomography Perfusion: Acute Stroke and Beyond." Seminars in Roentgenology 45, no. 2 (April 2010): 116–25. http://dx.doi.org/10.1053/j.ro.2009.09.011.

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28

Liebeskind, David S., Mark W. Parsons, Max Wintermark, Magdy Selim, Carlos A. Molina, Michael H. Lev, and Ramón G. González. "Computed Tomography Perfusion in Acute Ischemic Stroke." Stroke 46, no. 8 (August 2015): 2364–67. http://dx.doi.org/10.1161/strokeaha.115.009179.

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29

Keith, CJ, M. Griffiths, B. Petersen, RJ Anderson, and KA Miles. "Computed tomography perfusion imaging in acute stroke." Australasian Radiology 46, no. 3 (September 2002): 221–30. http://dx.doi.org/10.1046/j.1440-1673.2002.01026.x.

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30

Das, Chandan J. "Perfusion computed tomography in renal cell carcinoma." World Journal of Radiology 7, no. 7 (2015): 170. http://dx.doi.org/10.4329/wjr.v7.i7.170.

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31

Branch, Kelley, and Adam Alessio. "Fractal Analysis in Myocardial Computed Tomography Perfusion." JACC: Cardiovascular Imaging 15, no. 9 (September 2022): 1602–3. http://dx.doi.org/10.1016/j.jcmg.2022.06.010.

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32

Klau, Miriam, Wolfram Stiller, Franziska Fritz,, Meinhard Kieser, Jens Werner, Hans-Ulrich Kauczor, and Lars Grenacher. "Computed Tomography Perfusion Analysis of Pancreatic Carcinoma." Journal of Computer Assisted Tomography 36, no. 2 (2012): 237–42. http://dx.doi.org/10.1097/rct.0b013e31824a099e.

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33

Parekh, Amit, Richard Graham, and Stewart Redman. "Ventilation/perfusion single-photon emission computed tomography." Nuclear Medicine Communications 38, no. 8 (August 2017): 672–75. http://dx.doi.org/10.1097/mnm.0000000000000693.

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34

Hirota, Morihisa, Masashi Tsuda, Yoshihisa Tsuji, Atsushi Kanno, Kazuhiro Kikuta, Kiyoshi Kume, Shin Hamada, et al. "Perfusion Computed Tomography Findings of Autoimmune Pancreatitis." Pancreas 40, no. 8 (November 2011): 1295–301. http://dx.doi.org/10.1097/mpa.0b013e31821fcc4f.

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35

Heit, Jeremy J., Eric S. Sussman, and Max Wintermark. "Perfusion Computed Tomography in Acute Ischemic Stroke." Radiologic Clinics of North America 57, no. 6 (November 2019): 1109–16. http://dx.doi.org/10.1016/j.rcl.2019.06.003.

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36

Bierhals, Andrew J. "Quantification of Myocardial Perfusion Utilizing Computed Tomography." Current Cardiovascular Imaging Reports 5, no. 3 (March 21, 2012): 151–57. http://dx.doi.org/10.1007/s12410-012-9134-8.

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37

Kottam, Anupama, and Kim Allan Williams. "Single-Photon Emission Computed Tomography Perfusion Imaging." Circulation: Cardiovascular Imaging 3, no. 5 (September 2010): 505–6. http://dx.doi.org/10.1161/circimaging.110.959296.

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38

Morhard, Dominik, Christina D. Wirth, Gunther Fesl, Caroline Schmidt, Maximilian F. Reiser, Christoph R. Becker, and Birgit Ertl-Wagner. "Advantages of Extended Brain Perfusion Computed Tomography." Investigative Radiology 45, no. 7 (July 2010): 363–69. http://dx.doi.org/10.1097/rli.0b013e3181e1956f.

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39

Goh, Vicky, Quan Sing Ng, and Ken Miles. "Computed Tomography Perfusion Imaging for Therapeutic Assessment." Investigative Radiology 47, no. 1 (January 2012): 2–4. http://dx.doi.org/10.1097/rli.0b013e318229ff3e.

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40

Blankstein, Ron, and Michael Jerosch-Herold. "Stress Myocardial Perfusion Imaging by Computed Tomography." JACC: Cardiovascular Imaging 3, no. 8 (August 2010): 821–23. http://dx.doi.org/10.1016/j.jcmg.2010.06.008.

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41

Raggi, Paolo, and G. B. John Mancini. "Myocardial perfusion with single-photon emission computed tomography, multidetector computed tomography, or neither?" Journal of Nuclear Cardiology 24, no. 5 (May 17, 2016): 1722–24. http://dx.doi.org/10.1007/s12350-016-0528-x.

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42

Nakamura, Satoshi, Kakuya Kitagawa, Yoshitaka Goto, Masafumi Takafuji, Shiro Nakamori, Tairo Kurita, Kaoru Dohi, and Hajime Sakuma. "Prognostic Value of Stress Dynamic Computed Tomography Perfusion With Computed Tomography Delayed Enhancement." JACC: Cardiovascular Imaging 13, no. 8 (August 2020): 1721–34. http://dx.doi.org/10.1016/j.jcmg.2019.12.017.

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43

Rief, Matthias, Elke Zimmermann, Fabian Stenzel, Peter Martus, Karl Stangl, Johannes Greupner, Fabian Knebel, et al. "Computed Tomography Angiography and Myocardial Computed Tomography Perfusion in Patients With Coronary Stents." Journal of the American College of Cardiology 62, no. 16 (October 2013): 1476–85. http://dx.doi.org/10.1016/j.jacc.2013.03.088.

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44

Mostafa, Mostafa S., Ashraf O. Sayed, and Yasser M. Al Said. "Assessment of coronary ischaemia by myocardial perfusion dipyridamole stress technetium-99 m tetrofosmin, single-photon emission computed tomography, and coronary angiography in children with Kawasaki disease: pre- and post-coronary bypass grafting." Cardiology in the Young 25, no. 5 (August 5, 2014): 927–34. http://dx.doi.org/10.1017/s1047951114001292.

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AbstractBackground: Coronary artery lesions in Kawasaki disease invasively assessed by coronary angiography. Evaluation of myocardial perfusion by single-photon emission computed tomography may identify the haemodynamic significance of coronary lesions. Objective: To evaluate diagnostic accuracy of dipyridamole stress technetium-99 m tetrofosmin, single-photon emission computed tomography as a possible alternative to invasive coronary angiography for detection and follow-up of myocardial ischaemia in patients with Kawasaki disease, and pre- and post-coronary bypass grafting. Patients and methods: Coronary angiography and single-photon emission computed tomography were performed on 21 patients who were classified into three groups – group I (stenosis), group II (giant aneurysms), and group III (small aneurysms). Of the 21 patients, 16 (groups I and II) patients with myocardial perfusion defects, who underwent coronary bypass grafting, were followed up with single-photon emission computed tomography. Result: In group I, all patients had significant coronary stenosis and 100% of them had perfusion defects in the anterior and septal walls. In group II, all patients had giant aneurysms and 83% of them had inferior and inferolateral perfusion defects. In group III, all patients had small aneurysms and 100% of them had normal perfusion. Pre-coronary bypass grafting myocardial ischaemic defects disappeared in all patients after surgery. Sensitivity, specificity, and accuracy of single-photon emission computed tomography were 94, 100, and 95%, respectively. Conclusion: Technetium-99 m tetrofosmin single-photon emission computed tomography can be applied as an accurate non-invasive diagnostic technique for detecting myocardial perfusion defects with coronary artery lesions, and to show improved or even normalised perfusion of the myocardium in patients after surgical revascularisation.

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45

Reitmeir, Raluca, Jens Eyding, Markus F. Oertel, Roland Wiest, Jan Gralla, Urs Fischer, Pierre-Yves Giquel, et al. "Is ultrasound perfusion imaging capable of detecting mismatch? A proof-of-concept study in acute stroke patients." Journal of Cerebral Blood Flow & Metabolism 37, no. 4 (July 21, 2016): 1517–26. http://dx.doi.org/10.1177/0271678x16657574.

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In this study, we compared contrast-enhanced ultrasound perfusion imaging with magnetic resonance perfusion-weighted imaging or perfusion computed tomography for detecting normo-, hypo-, and nonperfused brain areas in acute middle cerebral artery stroke. We performed high mechanical index contrast-enhanced ultrasound perfusion imaging in 30 patients. Time-to-peak intensity of 10 ischemic regions of interests was compared to four standardized nonischemic regions of interests of the same patient. A time-to-peak >3 s (ultrasound perfusion imaging) or >4 s (perfusion computed tomography and magnetic resonance perfusion) defined hypoperfusion. In 16 patients, 98 of 160 ultrasound perfusion imaging regions of interests of the ischemic hemisphere were classified as normal, and 52 as hypoperfused or nonperfused. Ten regions of interests were excluded due to artifacts. There was a significant correlation of the ultrasound perfusion imaging and magnetic resonance perfusion or perfusion computed tomography (Pearson's chi-squared test 79.119, p < 0.001) (OR 0.1065, 95% CI 0.06–0.18). No perfusion in ultrasound perfusion imaging (18 regions of interests) correlated highly with diffusion restriction on magnetic resonance imaging (Pearson’s chi-squared test 42.307, p < 0.001). Analysis of receiver operating characteristics proved a high sensitivity of ultrasound perfusion imaging in the diagnosis of hypoperfused area under the curve, (AUC = 0.917; p < 0.001) and nonperfused (AUC = 0.830; p < 0.001) tissue in comparison with perfusion computed tomography and magnetic resonance perfusion. We present a proof of concept in determining normo-, hypo-, and nonperfused tissue in acute stroke by advanced contrast-enhanced ultrasound perfusion imaging.

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Pronin, A. I., M. B. Dolgushin, D. V. Sashin, N. A. Meshcheryakova, O. D. Ryzhova, and T. G. Gasparyan. "¹⁸F-fluoroethyltyrozine positron emission tomography combined with computed tomography and computed tomography perfusion in complex diagnostic of glial brain tumors." Head and Neck Tumors (HNT) 9, no. 4 (February 7, 2020): 24–31. http://dx.doi.org/10.17650/2222-1468-2019-9-4-24-31.

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The study objective is to evaluate the diagnostic capabilities of complex method based on the use of 18 F-fluoroethyltyrozine positron emission tomography (PET) combined with computed tomography (CT) and CT perfusion in the differential diagnosis of glial brain tumors.Materials and methods. One hundred and two patients with glial brain tumors were included in the study. Depending on the degree of malignancy patients were divided into 2 groups: group 1–38 (37.26 %) patients with grade I–II tumors; group 2–64 (62.74 %) patients with grade III–IV tumors. Perfusion CT was performed in 20 (52.6 %) patients from the group with grade I–II tumors and 37 (57.8 %) patients from the group with grade III–IV gliomas. The sensitivity and specificity of such indicators as the maximum standardized uptake value (maxSUV) and the tumor to brain ratio (TBR), in combination with CT perfusion indicators (cerebral blood flow (CBF), cerebral blood volume (CBV), vascular permeability (FED) were studied.Results. The highest diagnostic accuracy was demonstrated by the following parameters: maxSUV 1 (sensitivity and specificity 81 and 82 %, threshold value 2.51, AUC 0.87); TBR 1 (sensitivity and specificity 90.6 and 81.6 %, threshold value 2.07, AUC 0.89). The comprehensive evaluation of CT perfusion and 18 F-fluoroethyltyrozine PET / CT parameters: sensitivity and specificity of TBR 1 + CBF – 97.1 and 94.4 %, respectively; TBR 1 + CBV – 96.6 and 94.4 %, respectively; TBR 1 + FED – 94.6 and 92.3 %, respectively.Conclusion. According to results of obtained analysis, an increase in diagnostic accuracy was revealed for all studied parameters with complex use of two methods – 18 F-fluoroethyltyrozine PET / CT and CT perfusion, in differential diagnosis of glial brain tumors.

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47

Balandina, A. V., A. V. Kapishnikov, and S. V. Kozlov. "Magnetic resonance imaging and perfusion computed tomography capacities in brain glial tumors diagnosis." Kazan medical journal 96, no. 6 (December 15, 2015): 949–52. http://dx.doi.org/10.17750/kmj2015-949.

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Aim. To study magnetic resonance imaging and perfusion computed tomography capacities in the glial tumors diagnosis. Methods. 50 patients were examined using magnetic resonance imaging and perfusion computed tomography before and after treatment of glial tumors. Results. Perfusion computed tomography followed by pathomorphologic study confirmed the presence of glioblastoma in 48 patients before treatment. The presence of glioblastoma grade 4 was confirmed in 48 patients according to histological findings, and secondary (metastatic) tumors were identified in 2 patients. Glial tumors signs were revealed in all patients after MRI examination. Diagnostic tests using both methods were performed after treatment. The presence of residual tissue and radiation necrosis was not always accurately detected when using magnetic resonance imaging. During perfusion computed tomography performed on 32 patients continued tumor growth was identified in 28 patients, and presence of radiation necrosis - in 4. Histological examination confirmed the diagnosis accuracy in 24 patients, and presence of post-radiation changes in 4 patients. Conclusion. The data clearly demonstrate the need for the complex use of magnetic resonance imaging and perfusion computed tomography in suspected glial brain tumors before and after treatment, what allows to reliably estimate the presence of neoplasms, specify the location and degree of malignancy, correct further diagnostic and therapeutic tactics.

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48

Schichor, Christian, Walter Rachinger, Dominik Morhard, Stefan Zausinger, Thomas J. Heigl, Maximilian Reiser, and Jörg-Christian Tonn. "Intraoperative computed tomography angiography with computed tomography perfusion imaging in vascular neurosurgery: feasibility of a new concept." Journal of Neurosurgery 112, no. 4 (April 2010): 722–28. http://dx.doi.org/10.3171/2009.9.jns081255.

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Object In vascular neurosurgery, there is a demand for intraoperative imaging of blood vessels as well as for rapid information about critical impairment of brain perfusion. This study was conducted to analyze the feasibility of intraoperative CT angiography and brain perfusion mapping using an up-to-date multislice CT scanner in a prospective pilot series. Methods Ten patients with unruptured aneurysms underwent intraoperative scanning with a 40-slice sliding-gantry CT scanner. Multimodal CT acquisition was obtained in 8 patients consisting of dynamic perfusion CT (PCT) scanning followed by intracranial CT angiography. Two of these patients underwent CT angiography and PCT 2 times in 1 session as a control after repositioning cerebral aneurysm clips. In another 2 patients, CT angiography was performed alone. The quality of all imaging obtained was assessed in a blinded consensus reading performed by an experienced neurosurgeon and an experienced neuroradiologist. A 6-point scoring system ranging from excellent to insufficient was used for quality evaluation of PCT and CT angiography. Results In 9 of 10 PCT data sets, the quality was rated excellent or good. In the remaining case, the quality was rated insufficient for diagnostic evaluation due to major streak artifacts induced by the titanium pins of the head clamp. In this particular case, the quality of the related CT angiography was rated good and sufficient for intraoperative decision making. The quality of all 12 CT angiography data sets was rated excellent or good. In 1 patient with an anterior communicating artery aneurysm, PCT scanning led to a repositioning of the clip because of an ischemic pattern of the perfusion parameter maps due to clip stenosis of an artery. The subsequent PCT scan obtained in this patient revealed an improved perfusion of the related vascular territory, and follow-up MR imaging showed only minor ischemia of the anterior cerebral artery territory. Conclusions Intraoperative CT angiography and PCT scanning were shown to be feasible with short acquisition time, little interference with the surgical workflow, and very good diagnostic imaging quality. Thus, these modalities might be very helpful in vascular neurosurgery. Having demonstrated their feasibility, the impact of these methods on patients' outcomes has now to be analyzed prospectively in a larger series.

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Kligerman, Seth, and Albert Hsiao. "Optimizing the diagnosis and assessment of chronic thromboembolic pulmonary hypertension with advancing imaging modalities." Pulmonary Circulation 11, no. 2 (April 2021): 204589402110073. http://dx.doi.org/10.1177/20458940211007375.

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Imaging is key to nearly all aspects of chronic thromboembolic pulmonary hypertension including management for screening, assessing eligibility for pulmonary endarterectomy, and post-operative follow-up. While ventilation/perfusion scintigraphy, the gold standard technique for chronic thromboembolic pulmonary hypertension screening, can have excellent sensitivity, it can be confounded by other etiologies of pulmonary malperfusion, and does not provide structural information to guide operability assessment. Conventional computed tomography pulmonary angiography has high specificity, though findings of chronic thromboembolic pulmonary hypertension can be visually subtle and unrecognized. In addition, computed tomography pulmonary angiography can provide morphologic information to aid in pre-operative workup and assessment of other structural abnormalities. Advances in computed tomography imaging techniques, including dual-energy computed tomography and spectral-detector computed tomography, allow for improved sensitivity and specificity in detecting chronic thromboembolic pulmonary hypertension, comparable to that of ventilation/perfusion scans. Furthermore, these advanced computed tomography techniques, compared with conventional computed tomography, provide additional physiologic data from perfused blood volume maps and improved resolution to better visualize distal chronic thromboembolic pulmonary hypertension, an important consideration for balloon pulmonary angioplasty for inoperable patients. Electrocardiogram-synchronized techniques in electrocardiogram-gated computed tomography can also show further information regarding right ventricular function and structure. While the standard of care in the workup of chronic thromboembolic pulmonary hypertension includes a ventilation/perfusion scan, computed tomography pulmonary angiography, direct catheter angiography, echocardiogram, and coronary angiogram, in the future an electrocardiogram-gated dual-energy computed tomography angiography scan may enable a “one-stop” imaging study to guide diagnosis, operability assessment, and treatment decisions with less radiation exposure and cost than traditional chronic thromboembolic pulmonary hypertension imaging modalities.

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Kuikka, Jyrki T. "Myocardial Perfusion Imaging with Combined Single-photon Emission Computed Tomography and Multislice Computed Tomography." European Cardiology Review 3, no. 2 (2007): 54. http://dx.doi.org/10.15420/ecr.2007.0.2.54.

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