Literature DB >> 32877244

Prospective Evaluation of PI-RADS Version 2.1 for Prostate Cancer Detection.

Stephanie M Walker1, Sherif Mehralivand1, Stephanie A Harmon1,2, Thomas Sanford1, Maria J Merino3, Bradford J Wood4,5, Joanna H Shih6, Peter A Pinto7, Peter L Choyke1, Baris Turkbey1.   

Abstract

OBJECTIVE. The purpose of this study was to prospectively evaluate Prostate Imaging Reporting and Data and System version 2.1 (PI-RADSv2.1), which was released in March 2019 to update version 2.0, for prostate cancer detection with transrectal ultrasound-MRI fusion biopsy and 12-core systematic biopsy. SUBJECTS AND METHODS. This prospective study included 110 consecutively registered patients who underwent multiparametric MRI evaluated with PI-RADSv2.1 criteria followed by fusion biopsy and systematic biopsy between April and September 2019. Lesion-based cancer detection rates (CDRs) were calculated for prostate cancer (Gleason grade group, > 0) and clinically significant prostate cancer (Gleason grade group, > 1). RESULTS. A total of 171 lesions (median size, 1.1 cm) in 110 patients were detected and evaluated with PI-RADSv2.1. In 16 patients no lesion was detected, and only systematic biopsy was performed. Lesions were categorized as follows: PI-RADS category 1, 1 lesion; PI-RADS category 2, 34 lesions; PI-RADS category 3, 54 lesions; PI-RADS category 4, 52 lesions; and PI-RADS category 5, 30 lesions. Histopathologic analysis revealed prostate cancer in 74 of 171 (43.3%) lesions and clinically significant prostate cancer in 57 of 171 (33.3%) lesions. The CDRs of prostate cancer for PI-RADS 2, 3, 4, and 5 lesions were 20.0%, 24.1%, 51.9%, and 90.0%. The CDRs of clinically significant prostate cancer for PI-RADS 1, 2, 3, 4, and 5 lesions were 0%, 5.7%, 14.8%, 44.2%, and 80.0%. In 16 patients with normal multiparametric MRI findings (PI-RADS 1), the CDRs were 50.0% for PCa and 18.8% for clinically significant prostate cancer. CONCLUSION. This investigation yielded CDRs assessed with prospectively assigned PI-RADSv2.1 scores. CDRs increased with higher PI-RADSv2.1 scores. These results can be compared with previously published outcomes derived with PI-RADS version 2.0.

Entities:  

Keywords:  PI-RADS; early detection; multiparametric MRI; prostate biopsy; prostate cancer

Year:  2020        PMID: 32877244      PMCID: PMC8974984          DOI: 10.2214/AJR.19.22679

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  13 in total

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Authors:  M Noguchi; T A Stamey; J E McNeal; C M Yemoto
Journal:  J Urol       Date:  2001-07       Impact factor: 7.450

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Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2019-01-08       Impact factor: 508.702

3.  Intra- and interreader reproducibility of PI-RADSv2: A multireader study.

Authors:  Clayton P Smith; Stephanie A Harmon; Tristan Barrett; Leonardo K Bittencourt; Yan Mee Law; Haytham Shebel; Julie Y An; Marcin Czarniecki; Sherif Mehralivand; Mehmet Coskun; Bradford J Wood; Peter A Pinto; Joanna H Shih; Peter L Choyke; Baris Turkbey
Journal:  J Magn Reson Imaging       Date:  2018-12-21       Impact factor: 4.813

4.  Pearson's chi-square test and rank correlation inferences for clustered data.

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Journal:  Biometrics       Date:  2017-02-09       Impact factor: 2.571

5.  MRI-Targeted Biopsy for Prostate-Cancer Diagnosis.

Authors:  Veeru Kasivisvanathan; Mark Emberton; Caroline M Moore
Journal:  N Engl J Med       Date:  2018-08-09       Impact factor: 91.245

6.  Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis.

Authors:  Maarten de Rooij; Esther H J Hamoen; Jurgen J Fütterer; Jelle O Barentsz; Maroeska M Rovers
Journal:  AJR Am J Roentgenol       Date:  2014-02       Impact factor: 3.959

7.  PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2.

Authors:  Jeffrey C Weinreb; Jelle O Barentsz; Peter L Choyke; Francois Cornud; Masoom A Haider; Katarzyna J Macura; Daniel Margolis; Mitchell D Schnall; Faina Shtern; Clare M Tempany; Harriet C Thoeny; Sadna Verma
Journal:  Eur Urol       Date:  2015-10-01       Impact factor: 20.096

8.  Prospective Evaluation of PI-RADS™ Version 2 Using the International Society of Urological Pathology Prostate Cancer Grade Group System.

Authors:  Sherif Mehralivand; Sandra Bednarova; Joanna H Shih; Francesca V Mertan; Sonia Gaur; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  J Urol       Date:  2017-03-31       Impact factor: 7.450

9.  Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study.

Authors:  Hashim U Ahmed; Ahmed El-Shater Bosaily; Louise C Brown; Rhian Gabe; Richard Kaplan; Mahesh K Parmar; Yolanda Collaco-Moraes; Katie Ward; Richard G Hindley; Alex Freeman; Alex P Kirkham; Robert Oldroyd; Chris Parker; Mark Emberton
Journal:  Lancet       Date:  2017-01-20       Impact factor: 79.321

10.  ESUR prostate MR guidelines 2012.

Authors:  Jelle O Barentsz; Jonathan Richenberg; Richard Clements; Peter Choyke; Sadhna Verma; Geert Villeirs; Olivier Rouviere; Vibeke Logager; Jurgen J Fütterer
Journal:  Eur Radiol       Date:  2012-02-10       Impact factor: 5.315

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2.  Comparison of diagnostic performance and inter-reader agreement between PI-RADS v2.1 and PI-RADS v2: systematic review and meta-analysis.

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Authors:  Jeroen Bleker; Thomas C Kwee; Dennis Rouw; Christian Roest; Jaap Borstlap; Igle Jan de Jong; Rudi A J O Dierckx; Henkjan Huisman; Derya Yakar
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