Literature DB >> 30898406

Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2.

Baris Turkbey1, Andrew B Rosenkrantz2, Masoom A Haider3, Anwar R Padhani4, Geert Villeirs5, Katarzyna J Macura6, Clare M Tempany7, Peter L Choyke8, Francois Cornud9, Daniel J Margolis10, Harriet C Thoeny11, Sadhna Verma12, Jelle Barentsz13, Jeffrey C Weinreb14.   

Abstract

The Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) was developed with a consensus-based process using a combination of published data, and expert observations and opinions. In the short time since its release, numerous studies have validated the value of PI-RADS v2 but, as expected, have also identified a number of ambiguities and limitations, some of which have been documented in the literature with potential solutions offered. To address these issues, the PI-RADS Steering Committee, again using a consensus-based process, has recommended several modifications to PI-RADS v2, maintaining the framework of assigning scores to individual sequences and using these scores to derive an overall assessment category. This updated version, described in this article, is termed PI-RADS v2.1. It is anticipated that the adoption of these PI-RADS v2.1 modifications will improve inter-reader variability and simplify PI-RADS assessment of prostate magnetic resonance imaging even further. Research on the value and limitations on all components of PI-RADS v2.1 is strongly encouraged. Published by Elsevier B.V.

Entities:  

Keywords:  Prostate Imaging Reporting and Data System Version 2; Prostate Imaging Reporting and Data System Version 2.1; Prostate cancer

Mesh:

Year:  2019        PMID: 30898406     DOI: 10.1016/j.eururo.2019.02.033

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  273 in total

1.  Evaluation of prostate MRI: can machine learning provide support where radiologists need it?

Authors:  Alexander D J Baur; Tobias Penzkofer
Journal:  Eur Radiol       Date:  2019-05-09       Impact factor: 5.315

2.  Role of MRI for the detection of prostate cancer.

Authors:  Richard C Wu; Amir H Lebastchi; Boris A Hadaschik; Mark Emberton; Caroline Moore; Pilar Laguna; Jurgen J Fütterer; Arvin K George
Journal:  World J Urol       Date:  2021-01-04       Impact factor: 4.226

3.  Editorial on "Head-to-Head Comparison of PI-RADS Version 2 and 2.1 in Transition Zone Lesions for Detection of Prostate Cancer".

Authors:  Julie Y An; Kathryn J Fowler
Journal:  J Magn Reson Imaging       Date:  2020-01-31       Impact factor: 4.813

4.  Current Role of Multiparametric MRI and MRI Targeted Biopsies for Prostate Cancer Diagnosis in Germany: A Nationwide Survey.

Authors:  Matthias Saar; Johannes Linxweiler; Angelika Borkowetz; Sebastian Fussek; Katerina Urbanova; Laura Bellut; Glen Kristiansen; Bernd Wullich
Journal:  Urol Int       Date:  2020-07-08       Impact factor: 2.089

5.  A multifaceted approach to quality in the MRI-directed biopsy pathway for prostate cancer diagnosis.

Authors:  Anwar R Padhani; Ivo G Schoots; Baris Turkbey; Gianluca Giannarini; Jelle O Barentsz
Journal:  Eur Radiol       Date:  2020-11-25       Impact factor: 5.315

Review 6.  Role of pre-biopsy multiparametric MRI in prostate cancer diagnosis: Evidence from the literature.

Authors:  David Ka-Wai Leung; Peter Ka-Fung Chiu; Chi-Fai Ng; Jeremy Yuen-Chun Teoh
Journal:  Turk J Urol       Date:  2020-10-01

Review 7.  Multimodality Imaging of Prostate Cancer.

Authors:  Soleen Ghafoor; Irene A Burger; Alberto H Vargas
Journal:  J Nucl Med       Date:  2019-09-03       Impact factor: 10.057

Review 8.  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

9.  Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study.

Authors:  Ying Hou; Yi-Hong Zhang; Jie Bao; Mei-Ling Bao; Guang Yang; Hai-Bin Shi; Yang Song; Yu-Dong Zhang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-05-21       Impact factor: 9.236

10.  Prostate cancer: diagnostic yield of modified transrectal ultrasound-guided twelve-core combined biopsy (targeted plus systematic biopsies) using prebiopsy magnetic resonance imaging.

Authors:  Chorog Song; Sung Yoon Park
Journal:  Abdom Radiol (NY)       Date:  2021-06-28
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