Literature DB >> 29733838

Validation of Prostate Imaging Reporting and Data System Version 2 for the Detection of Prostate Cancer.

Sebastian L Hofbauer1, Andreas Maxeiner1, Beatrice Kittner1, Robin Heckmann1, Maximillian Reimann1, Laura Wiemer1, Patrick Asbach2, Matthias Haas2, Tobias Penzkofer3, Carsten Stephan1, Frank Friedersdorff1, Florian Fuller1, Kurt Miller1, Hannes Cash4.   

Abstract

PURPOSE: The second version of the PI-RADS™ (Prostate Imaging Reporting and Data System) was introduced in 2015 to standardize the interpretation and reporting of prostate multiparametric magnetic resonance imaging. Recently low cancer detection rates were reported for PI-RADS version 2 category 4 lesions. Therefore the aim of the study was to evaluate the cancer detection rate of PI-RADS version 2 in a large prospective cohort.
MATERIALS AND METHODS: The study included 704 consecutive men with primary or prior negative biopsies who underwent magnetic resonance imaging/ultrasound fusion guided targeted biopsy and 10-core systematic prostate biopsy between September 2015 and May 2017. All lesions were rated according to PI-RADS version 2 and lesions with PI-RADS version 2 category 3 or greater were biopsied. An ISUP (International Society of Urological Pathology) score of 2 or greater (ie Gleason 3 + 4 or greater) was defined as clinically significant prostate cancer.
RESULTS: The overall cancer detection rate of PI-RADS version 2 categories 3, 4 and 5 was 39%, 72% and 91% for all prostate cancer, and 23%, 49% and 77% for all clinically significant prostate cancer, respectively. If only targeted biopsy had been performed, 59 clinically significant tumors (16%) would have been missed. The PI-RADS version 2 score was significantly associated with the presence of prostate cancer (p <0.001), the presence of clinically significant prostate cancer (p <0.001) and the ISUP grade (p <0.001).
CONCLUSIONS: PI-RADS version 2 is significantly associated with the presence of clinically significant prostate cancer. The cancer detection rate of PI-RADS version 2 category 4 lesions was considerably higher than previously reported. When performing targeted biopsy, the combination with systematic biopsy still provides the highest detection of clinically significant prostate cancer.
Copyright © 2018 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  computer-assisted; diagnosis; image-guided biopsy; neoplasm grading; prostatic neoplasms; radiographic image interpretation

Mesh:

Year:  2018        PMID: 29733838     DOI: 10.1016/j.juro.2018.05.003

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  16 in total

1.  How to make clinical decisions to avoid unnecessary prostate screening in biopsy-naïve men with PI-RADs v2 score ≤ 3?

Authors:  Yu Zhang; Na Zeng; FengBo Zhang; YangXinRui Huang; Ye Tian
Journal:  Int J Clin Oncol       Date:  2019-08-31       Impact factor: 3.402

2.  A Novel Prediction Tool Based on Multiparametric Magnetic Resonance Imaging to Determine the Biopsy Strategy for Clinically Significant Prostate Cancer in Patients with PSA Levels Less than 50 ng/ml.

Authors:  Bi-Ming He; Zhen-Kai Shi; Hu-Sheng Li; Heng-Zhi Lin; Qing-Song Yang; Jian-Ping Lu; Ying-Hao Sun; Hai-Feng Wang
Journal:  Ann Surg Oncol       Date:  2019-12-17       Impact factor: 5.344

Review 3.  PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway.

Authors:  Anwar R Padhani; Jelle Barentsz; Geert Villeirs; Andrew B Rosenkrantz; Daniel J Margolis; Baris Turkbey; Harriet C Thoeny; François Cornud; Masoom A Haider; Katarzyna J Macura; Clare M Tempany; Sadhna Verma; Jeffrey C Weinreb
Journal:  Radiology       Date:  2019-06-11       Impact factor: 11.105

4.  MRI as a screening tool for prostate cancer: current evidence and future challenges.

Authors:  Christoph Würnschimmel; Thenappan Chandrasekar; Luisa Hahn; Tarik Esen; Shahrokh F Shariat; Derya Tilki
Journal:  World J Urol       Date:  2022-02-28       Impact factor: 4.226

5.  Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores.

Authors:  David Jean Winkel; Hanns-Christian Breit; Bibo Shi; Daniel T Boll; Hans-Helge Seifert; Christian Wetterauer
Journal:  Quant Imaging Med Surg       Date:  2020-04

Review 6.  Advances in the selection of patients with prostate cancer for active surveillance.

Authors:  James L Liu; Hiten D Patel; Nora M Haney; Jonathan I Epstein; Alan W Partin
Journal:  Nat Rev Urol       Date:  2021-02-23       Impact factor: 14.432

Review 7.  MRI-targeted prostate biopsy: the next step forward!

Authors:  Emanuel Darius Cata; Iulia Andras; Teodora Telecan; Attila Tamas-Szora; Radu-Tudor Coman; Dan-Vasile Stanca; Ioan Coman; Nicolae Crisan
Journal:  Med Pharm Rep       Date:  2021-04-29

8.  Prostate Imaging-Reporting and Data System: Comparison of the Diagnostic Performance between Version 2.0 and 2.1 for Prostatic Peripheral Zone.

Authors:  Hyun Soo Kim; Ghee Young Kwon; Min Je Kim; Sung Yoon Park
Journal:  Korean J Radiol       Date:  2021-04-09       Impact factor: 3.500

9.  PI-RADS and Likert scales for structured reporting in multiparametric MR imaging of the prostate.

Authors:  Shivang Desai; Daniel N Costa
Journal:  Br J Radiol       Date:  2021-09-29       Impact factor: 3.039

10.  New TRUS Techniques and Imaging Features of PI-RADS 4 or 5: Influence on Tumor Targeting.

Authors:  Amy Inji Chang; Byung Kwan Park
Journal:  Front Oncol       Date:  2021-06-09       Impact factor: 6.244

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