Literature DB >> 31239107

PI-RADS version 2.1: one small step for prostate MRI.

T Barrett1, A Rajesh2, A B Rosenkrantz3, P L Choyke4, B Turkbey4.   

Abstract

Multiparametric (mp) prostate magnetic resonance imaging (MRI) is playing an increasingly prominent role in the diagnostic work-up of patients with suspected prostate cancer. Performing mpMRI before biopsy offers several advantages including biopsy avoidance under certain clinical circumstances and targeting biopsy of suspicious lesions to enable the correct diagnosis. The success of the technique is heavily dependent on high-quality image acquisition, interpretation, and report communication, all areas addressed by previous versions of the Prostate Imaging-Reporting and Data System (PI-RADS) recommendations. Numerous studies have validated the approach, but the widespread adoption of PI-RADS version 2 has also highlighted inconsistencies and limitations, particularly relating to interobserver variability for evaluation of the transition zone. These limitations are addressed in the recently released version 2.1. In this article, we highlight the key changes proposed in PI-RADS v2.1 and explore the background reasoning and evidence for the recommendations.
Copyright © 2019 The Royal College of Radiologists. All rights reserved.

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Year:  2019        PMID: 31239107     DOI: 10.1016/j.crad.2019.05.019

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  30 in total

Review 1.  Diffusion and quantification of diffusion of prostate cancer.

Authors:  Yoshiko Ueno; Tsutomu Tamada; Keitaro Sofue; Takamichi Murakami
Journal:  Br J Radiol       Date:  2021-09-19       Impact factor: 3.039

2.  The effect of capped biparametric magnetic resonance imaging slots on weekly prostate cancer imaging workload.

Authors:  Nikita Sushentsev; Iztok Caglic; Evis Sala; Nadeem Shaida; Rhys A Slough; Bruno Carmo; Vasily Kozlov; Vincent J Gnanapragasam; Tristan Barrett
Journal:  Br J Radiol       Date:  2020-02-03       Impact factor: 3.039

3.  The Value of Low Prostate Imaging-Reporting and Data System (PI-RADS) Scores in Preventing Unnecessary Prostate Biopsies.

Authors:  Dong-Soo Kim; Sung-Kyoung Moon; Joo-Won Lim; Seung-Hyun Jeon; Sang-Hyub Lee
Journal:  Medicina (Kaunas)       Date:  2021-04-24       Impact factor: 2.430

4.  Comparison of Likert and PI-RADS version 2 MRI scoring systems for the detection of clinically significant prostate cancer.

Authors:  Jeries P Zawaideh; Evis Sala; Maria Pantelidou; Nadeem Shaida; Brendan Koo; Iztok Caglic; Anne Y Warren; Luca Carmisciano; Kasra Saeb-Parsy; Vincent J Gnanapragasam; Christof Kastner; Tristan Barrett
Journal:  Br J Radiol       Date:  2020-06-11       Impact factor: 3.039

5.  MRI features of the normal prostatic peripheral zone: the relationship between age and signal heterogeneity on T2WI, DWI, and DCE sequences.

Authors:  Vlad Bura; Iztok Caglic; Ziga Snoj; Nikita Sushentsev; Alexandra S Berghe; Andrew N Priest; Tristan Barrett
Journal:  Eur Radiol       Date:  2021-01-04       Impact factor: 5.315

6.  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

7.  A nomogram based on PI-RADS v2.1 and clinical indicators for predicting clinically significant prostate cancer in the transition zone.

Authors:  Chaogang Wei; Peng Pan; Tong Chen; Yueyue Zhang; Guangcheng Dai; Jian Tu; Zhen Jiang; Wenlu Zhao; Junkang Shen
Journal:  Transl Androl Urol       Date:  2021-06

8.  Complete resolution of a giant multilocular prostatic cystadenoma following androgen deprivation therapy: an illustrative case report.

Authors:  Nikita Sushentsev; Yvonne Rimmer; Tristan Barrett
Journal:  Oxf Med Case Reports       Date:  2021-07-21

9.  MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance.

Authors:  Nikita Sushentsev; Leonardo Rundo; Oleg Blyuss; Vincent J Gnanapragasam; Evis Sala; Tristan Barrett
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

10.  Preoperative histogram parameters of dynamic contrast-enhanced MRI as a potential imaging biomarker for assessing the expression of Ki-67 in prostate cancer.

Authors:  Yongsheng Zhang; Zhiping Li; Chen Gao; Jianliang Shen; Mingtao Chen; Yufeng Liu; Zhijian Cao; Peipei Pang; Feng Cui; Maosheng Xu
Journal:  Cancer Med       Date:  2021-06-12       Impact factor: 4.452

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