Literature DB >> 33576169

Performance of Prostate Imaging Reporting and Data System Version 2.1 for Diagnosis of Prostate Cancer: A Systematic Review and Meta-Analysis.

Kye Jin Park1, Sang Hyun Choi1, Mi-Hyun Kim1, Jeong Kon Kim1, In Gab Jeong2.   

Abstract

BACKGROUND: The Prostate Imaging Reporting and Data System (PI-RADS) was introduced in 2012 and updated to version 2.1 (v2.1) in early 2019 to improve diagnostic performance and interreader reliability.
PURPOSE: To evaluate the diagnostic performance of PI-RADS v2.1 in comparison with v2.
METHODS: A systematic review and meta-analysis of the literature was performed using MEDLINE, EMBASE, and Cochrane databases to identify studies evaluating the diagnostic performance of PI-RADS v2.1 for diagnosing clinically significant prostate cancer (csPCa). STUDY TYPE: Systematic review and meta-analysis. SUBJECT: One thousand two hundred forty-eight patients with 1406 lesions from 10 eligible articles. FIELD STRENGTH/SEQUENCE: Conventional MR sequences at 1.5 T and 3 T. ASSESSMENT: Two reviewers independently identified and reviewed the original articles reporting diagnostic performance of PI-RADS v2.1. STATISTICAL TESTS: Meta-analytic summary sensitivity and specificity were calculated using a bivariate random effects model. Meta-analytic sensitivity and specificity between PI-RADS v2 and v2.1 were compared.
RESULTS: The pooled sensitivity and specificity of PI-RADS v2.1 were 87% (95% confidence intervals, 82-91%) and 74% (63-82%), respectively. In five studies available for a head-to-head comparison between PI-RADS v2.1 and v2, there were no significant differences in either sensitivity (90% [86-94%] vs. 88% [83-93%], respectively) or specificity (76% [59-93%] vs. 61% [39-83%], respectively; P = 0.37). The sensitivity and specificity were 81% (73-87%) and 82% (68-91%), respectively, for a PI-RADS score cutoff of ≥4, and 94% (88-97%) and 56% (35-97%) for ≥3. Regarding the zonal location, the sensitivity and specificity for the transitional zone only were 90% (84-96%) and 76% (62-90%) respectively, whereas for the whole gland they were 85% (79-91%) and 71% (57-85%). DATA
CONCLUSION: PI-RADS v2.1 demonstrated good overall performance for the diagnosis of csPCa. PI-RADS v2.1 tended to show higher specificity than v2, but the difference lacked statistical significance. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 3.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  PI-RADS; diagnostic performance; prostate; version 2.1

Year:  2021        PMID: 33576169     DOI: 10.1002/jmri.27546

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

Review 1.  Quality checkpoints in the MRI-directed prostate cancer diagnostic pathway.

Authors:  Tristan Barrett; Maarten de Rooij; Francesco Giganti; Clare Allen; Jelle O Barentsz; Anwar R Padhani
Journal:  Nat Rev Urol       Date:  2022-09-27       Impact factor: 16.430

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

Authors:  Chau Hung Lee; Balamurugan Vellayappan; Cher Heng Tan
Journal:  Br J Radiol       Date:  2021-09-14       Impact factor: 3.039

3.  PI-RADS v2.1 Combined With Prostate-Specific Antigen Density for Detection of Prostate Cancer in Peripheral Zone.

Authors:  Jing Wen; Tingting Tang; Yugang Ji; Yilan Zhang
Journal:  Front Oncol       Date:  2022-04-08       Impact factor: 5.738

4.  Diagnostic Performance of Extraprostatic Extension Grading System for Detection of Extraprostatic Extension in Prostate Cancer: A Diagnostic Systematic Review and Meta-Analysis.

Authors:  Wei Li; Wenwen Shang; Feng Lu; Yuan Sun; Jun Tian; Yiman Wu; Anding Dong
Journal:  Front Oncol       Date:  2022-01-25       Impact factor: 6.244

5.  Comparison of different thresholds of PSA density for risk stratification of PI-RADSv2.1 categories on prostate MRI.

Authors:  Rossano Girometti; Gianluca Giannarini; Valeria Panebianco; Silvio Maresca; Lorenzo Cereser; Maria De Martino; Stefano Pizzolitto; Martina Pecoraro; Vincenzo Ficarra; Chiara Zuiani; Claudio Valotto
Journal:  Br J Radiol       Date:  2021-11-11       Impact factor: 3.039

6.  Assessing the accuracy of multiparametric MRI to predict clinically significant prostate cancer in biopsy naïve men across racial/ethnic groups.

Authors:  Julio Meza; Rilwan Babajide; Ragheed Saoud; Jeanne M Horowitz; David D Casalino; Adam B Murphy; Jamila Sweis; Josephine Abelleira; Irene Helenowski; Borko Jovanovic; Scott Eggener; Frank H Miller
Journal:  BMC Urol       Date:  2022-07-18       Impact factor: 2.090

7.  Living systematic review and meta-analysis of the prostate MRI diagnostic test with Prostate Imaging Reporting and Data System (PI-RADS) assessment for the detection of prostate cancer: study protocol.

Authors:  Benedict Oerther; Christine Schmucker; Guido Schwarzer; Ivo Schoots; August Sigle; Christian Gratzke; Fabian Bamberg; Matthias Benndorf
Journal:  BMJ Open       Date:  2022-10-07       Impact factor: 3.006

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.