Literature DB >> 31350101

PI-RADS Version 2 Is an Excellent Screening Tool for Clinically Significant Prostate Cancer as Designated by the Validated International Society of Urological Pathology Criteria: A Retrospective Analysis.

Mitchell Daun1, Sara Fardin2, Alexander Ushinsky2, Sahil Batra2, Michael Nguyentat2, Thomas Lee2, Edward Uchio2, Chandana Lall2, Roozbeh Houshyar2.   

Abstract

OBJECTIVES: To assess the utility of multiparametric MRI in detecting clinically significant prostate cancer (csPCa) by comparing PI-RADSv2 scores with International Society of Urological Pathology (ISUP) pathologic grading criteria.
METHODS: Data from 137 patients were retrospectively analyzed. PI-RADSv2 scores were compared with pathologic grade using ISUP criteria. Pathologic grades were divided into clinically significant (groups 3-5) and clinically insignificant lesions (groups 1-2). Chi-squared analysis was performed for to assess correlation.
RESULTS: Sensitivity and specificity of PI-RADSv2 score 3-5 lesions for detecting csPCa was 100% and 18.5%, respectively. Negative predictive value (NPV) is 100% for these lesions. When considering only PI-RADSv2 score 4-5 lesions, sensitivity decreases to 90% and specificity increases to 67.5%, with a NPV of 98.5%. When only PI-RADSv2 score 5 lesions are considered, sensitivity decreases to 50% and specificity increases to 90%, with a NPV of 95%.
CONCLUSIONS: Multiparametric MRI has excellent sensitivity for detecting csPCa. Specificity is poor for PI-RADSv2 score 3 lesions but improves significantly for PI-RADSv2 score 4 and 5 lesions. Overall, mpMRI is an excellent screening tool for csPCa, as designated by the recently validated ISUP criteria. ADVANCES IN KNOWLEDGE: Multiple limitations of the longstanding Gleason pathologic scoring system have led to the development of new ISUP pathologic criteria, which is more focused on the clinical significance of lesions. There are currently insufficient studies evaluating and validating the ISUP criteria with PIRADS v2 evaluation of the prostate.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2019        PMID: 31350101     DOI: 10.1067/j.cpradiol.2019.06.010

Source DB:  PubMed          Journal:  Curr Probl Diagn Radiol        ISSN: 0363-0188


  3 in total

1.  Impact of PI-RADS Category 3 lesions on the diagnostic accuracy of MRI for detecting prostate cancer and the prevalence of prostate cancer within each PI-RADS category: A systematic review and meta-analysis.

Authors:  Akshay Wadera; Mostafa Alabousi; Alex Pozdnyakov; Mohammed Kashif Al-Ghita; Ali Jafri; Matthew Df McInnes; Nicola Schieda; Christian B van der Pol; Jean-Paul Salameh; Lucy Samoilov; Kaela Gusenbauer; Abdullah Alabousi
Journal:  Br J Radiol       Date:  2020-10-22       Impact factor: 3.039

Review 2.  Applications of Artificial Intelligence to Prostate Multiparametric MRI (mpMRI): Current and Emerging Trends.

Authors:  Michelle D Bardis; Roozbeh Houshyar; Peter D Chang; Alexander Ushinsky; Justin Glavis-Bloom; Chantal Chahine; Thanh-Lan Bui; Mark Rupasinghe; Christopher G Filippi; Daniel S Chow
Journal:  Cancers (Basel)       Date:  2020-05-11       Impact factor: 6.639

Review 3.  Prostate minimally invasive procedures: complications and normal vs. abnormal findings on multiparametric magnetic resonance imaging (mpMRI).

Authors:  Thanh-Lan Bui; Justin Glavis-Bloom; Chantal Chahine; Raj Mehta; Taylor Wolfe; Param Bhatter; Mark Rupasinghe; Joseph Carbone; Masoom A Haider; Francesco Giganti; Simone Giona; Aytekin Oto; Grace Lee; Roozbeh Houshyar
Journal:  Abdom Radiol (NY)       Date:  2021-05-11
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.