Jorge Abreu-Gomez
Dr. Abreu Gomez is an Assistant Professor of Medical Imaging at the University of Toronto.
He completed medical school at the Faculty of Medicine of Universidad Colegio Mayor de Nuestra Señora del Rosario, followed by Radiology Residency at Universidad El Bosque, Bogotá, Colombia. He subsequently completed an Abdominal Radiology Fellowship at the European Institute of Oncology. After this experience, he came to Canada where he completed two Abdominal Imaging Fellowships at University of Ottawa and University of Toronto.
Dr. Abreu-Gomez research interests include prostate and GU imaging. Scoring Systems for likelihood of prostatic malignancy such as PI-RADS v2.1 and PI-RR. Prostate/adrenal imaging quality and education.
He has received research awards and honors and currently is member of the Adrenal Neoplasm Disease focused panel of Society of Abdominal Radiology (SAR) and European Society of Urogenital Radiology (ESUR) junior network.
- PI-RR: The Prostate Imaging for Recurrence Reporting System for MRI Assessment of Local Prostate Cancer Recurrence After Radiation Therapy or Radical Prostatectomy-A Review
This article reviews the clinical application of the Prostate Imaging for Recurrence Reporting (PI-RR) system. This system, released in 2021, […]
- Evaluation of the T2-weighted (T2W) adrenal MRI calculator to differentiate adrenal pheochromocytoma from lipid-poor adrenal adenoma
CONCLUSIONS: T2W signal intensity and heterogeneity differ, subjectively and quantitatively, in pheochromocytoma compared to adenoma. Use of a […]
- Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis
CONCLUSION: Our results indicate ML of radiomic features extracted from T2W and ADC achieved at best moderate accuracy for determining which PI-RADS […]
- Fully automated detection of prostate transition zone tumors on T2-weighted and apparent diffusion coefficient (ADC) map MR images using U-Net ensemble
CONCLUSION: We describe a deep-learning-based method for fully automated TZ PCa detection using ADC map MR images that outperformed assessment by T2W […]
- Comparison of MRI features in lipid-rich and lipid-poor adrenal adenomas using subjective and quantitative analysis
CONCLUSIONS: There is no difference in T2W signal intensity, enhancement pattern or T2W heterogeneity judged subjectively or by quantitative texture […]
- Pharmacokinetic modeling of dynamic contrast-enhanced (DCE)-MRI in PI-RADS category 3 peripheral zone lesions: preliminary study evaluating DCE-MRI as an imaging biomarker for detection of clinically significant prostate cancers
CONCLUSION: Pharmacokinetic modeling of DCE-MRI parameters in PI-RADS category 3 lesions with subjectively negative DCE-MRI show significant […]
- Prevalence of prostate cancer in PI-RADS version 2.1 T2-weighted transition zone 'nodule in nodule' and 'homogeneous mildly hypointense area between nodules' criteria: MRI-radical prostatectomy histopathological evaluation
CONCLUSION: The proportion of cancers in PI-RADS v2.1 'nodule in nodule' was low (~5-8%) with zero cancers detected in 'homogeneous mildly […]
- Utility of T2-weighted MRI to Differentiate Adrenal Metastases from Lipid-Poor Adrenal Adenomas
CONCLUSION: Logistic regression models combining T2-weighted SI and T2-weighted heterogeneity can differentiate metastases from lipid-poor adenomas. […]
- Whole-body magnetic resonance imaging (WB-MRI) reporting with the METastasis Reporting and Data System for Prostate Cancer (MET-RADS-P): inter-observer agreement between readers of different expertise levels
CONCLUSIONS: We found inter-observer agreement between two readers of different expertise levels to be excellent in bone, but mixed in other body […]
- When to biopsy Prostate Imaging and Data Reporting System version 2 (PI-RADSv2) assessment category 3 lesions? Use of clinical and imaging variables to predict cancer diagnosis at targeted biopsy
CONCLUSIONS: PI-RADSv2 category 3 lesions are often not CSPCa. PSAD predicted CSPCa in men with a prior negative biopsy; however, PSAD alone had […]
- Multiparametric magnetic resonance imaging of the prostate at 1.5-Tesla without endorectal coil: Can it be used to detect clinically significant prostate cancer in men with medical devices that are contraindicated at 3-Tesla?
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- Prevalence of Prostate Cancer in PI-RADS Version 2.1 Transition Zone Atypical Nodules Upgraded by Abnormal DWI: Correlation With MRI-Directed TRUS-Guided Targeted Biopsy
BACKGROUND. In PI-RADS version 2.1 (v2.1), atypical transition zone (TZ) nodules (homogeneous circumscribed nodules without full encapsulation) […]
- Quantitative Prostate MRI
Prostate MRI is reported in clinical practice using the Prostate Imaging and Data Reporting System (PI-RADS). PI-RADS aims to standardize, as much as […]
- Shape Analysis of Peripheral Zone Observations on Prostate DWI: Correlation to Histopathology Outcomes After Radical Prostatectomy
OBJECTIVE. The objective of our study was to subjectively and quantitatively assess shape features of peripheral zone (PZ) tumors at DWI compared […]
- Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomes
CONCLUSION: Among PI-RADS v2.1 category 4 and 5 observations, size was associated with higher pathological stage whereas ADC metrics were not. Size, […]