Literature DB >> 31397038

PI-RADS: Past, present, and future.

Rajan T Gupta1,2,3, Kurren A Mehta1, Baris Turkbey4, Sadhna Verma5.   

Abstract

Prostate cancer (PCa) is extremely prevalent and is the most common noncutaneous malignancy and second-most common cause of cancer death in men. In the last decade, there has been dramatic growth in the use of multiparametric magnetic resonance imaging (mpMRI) for diagnosis and characterization of PCa. With the recent and marked surge in popularity in prostate imaging and, specifically, mpMRI, there has been an increased focus on structured reporting as a means by which to provide more actionable information to the referring clinician as well as to improve diagnostic performance with this technique. This work focuses on the evolution of the major structured reporting system in prostate mpMRI, Prostate Imaging Reporting And Data System (PI-RADS), from its initial proposal and establishment in 2012 as PI-RADS v. 1 to its most current iteration, PI-RADS v. 2.1. This will highlight the key elements that have changed between the versions as well as provide context and rationale for these changes. In addition, this work explores what future iterations of PI-RADS could look like based on current limitations of the system as well as explore areas for future growth of prostate mpMRI, including use of the system in active surveillance populations and in the posttreatment setting. Level of Evidence: 5 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2020;52:33-53.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  PI-RADS; multiparametric MRI; prostate cancer; structured reporting

Mesh:

Year:  2019        PMID: 31397038     DOI: 10.1002/jmri.26896

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


  4 in total

1.  Combining clinical and MRI data to manage PI-RADS 3 lesions and reduce excessive biopsy.

Authors:  Shuo Yang; Wenlu Zhao; Shuangxiu Tan; Yueyue Zhang; Chaogang Wei; Tong Chen; Junkang Shen
Journal:  Transl Androl Urol       Date:  2020-06

2.  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

3.  Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies.

Authors:  Daniël F Osses; Christian Arsov; Lars Schimmöller; Ivo G Schoots; Geert J L H van Leenders; Irene Esposito; Sebastiaan Remmers; Peter Albers; Monique J Roobol
Journal:  J Pers Med       Date:  2020-12-10

4.  The role of gadolinium in magnetic resonance imaging for early prostate cancer diagnosis: A diagnostic accuracy study.

Authors:  Ilinca Cosma; Cornelia Tennstedt-Schenk; Sven Winzler; Marios Nikos Psychogios; Alexander Pfeil; Ulf Teichgraeber; Ansgar Malich; Ismini Papageorgiou
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

  4 in total

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