Literature DB >> 35594322

A brief review of the VI-RADS classification for bladder tumors on MRI (and a call for increased interface, consistent communication and more joined studies by the radiological and urological communities).

Ronaldo Hueb Baroni1,2.   

Abstract

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Year:  2022        PMID: 35594322      PMCID: PMC9306376          DOI: 10.1590/S1677-5538.IBJU.2021.0560.1

Source DB:  PubMed          Journal:  Int Braz J Urol        ISSN: 1677-5538            Impact factor:   3.050


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COMMENT

In 1993 the American College of Radiology (ACR) proposed a new classification for breast tumor evaluation and reporting on mammography, called BI-RADS (Breast Imaging Reporting and Data System), a standardized lexicon, which was developed on the back of the established 5-tier ACR system (a Likert scale) ( 1 ). The aim of BI-RADS was to improve distinction between benign and malignant diseases, to remove ambiguity from radiology reports, permit automated auditing of data and improve clinical interface with the referring physicians. Nowadays, there are more than twenty RADS available for the radiological evaluation of many diseases and organs, nine of then developed under the ACR criteria and supervision, including two that are more widely used and well know: LI-RADS (liver cancer) and PI-RADS (prostate cancer) ( 2 ). In 2018, a multidisciplinary group of radiologists, urologists, pathologists and radiation oncologists developed and published a new scoring system called VI-RADS (Vesical Imaging-Reporting and Data System), focused on the local staging of bladder cancer on MRI, including the standardization of MRI protocols and the proposal of a structured reporting system to improve communication between referring physicians and radiologists ( 3 ). The main goal of the proposed system was to overcome, through a non-invasive imaging method, the risks and limitations of transurethral resection of bladder tumor (TURBT), such as bladder perforation and under/overstaging. The system relies on a 5-point scale (VI-RADS 1 to VI-RADS 5), using multiparametric MRI (that includes high-resolution T2-weighted, diffusion-weighted, and dynamic contrast-enhanced imaging), to stratify the risk of invasion of the muscular layer of the bladder wall in a previously detected lesion. VI-RADS rapidly gained acceptance by the radiological and urological communities, and many multicentric studies were published since then confirming that the system has excellent interobserver agreement and accuracy for local staging. Those studies include two systematic reviews and meta-analysis, published in 2020 by Woo et al ( 4 ) and Luo et al ( 5 ), that found similar AUC accuracies for local staging of bladder cancer using VI-RADS (between 0,92 and 0,94) Another systematic review and meta-analysis, published in 2022 by Del Giudice et al. ( 6 ), focused on inter-reader reproducibility and found a Cohen’s Kappa of 0,83. The article from Nicola et al ( 7 ), gives a very comprehensive and step-by-step review of the many aspects of VI-RADS, targeting the urological community. It is of utmost importance that urologists (as well as clinical oncologists and radiation oncologists) become familiar with the applications, limitations and basis of imaging interpretation of the system. Being a relatively young classification (as compared to BI-RADS, LI-RADS and PI-RADS), VI-RADS demands more prospective and multicentric studies to further validate its already excellent results. I believe that one of the major strengths of VI-RADS relies on the fact that it was developed from the very beginning with the inputs of all involved “stakeholders” (radiologists, urologists, pathologists and radiation oncologists). This should be a must for all studies that intend to standardize how we perform, read and report an imaging exam. The PI-RADS steering committee consider the PI-RADS classification (now in version 2.1) as a “living document”, since continuous improvements will certainly occur and be incorporated in the newer versions. I am positive that the same idea is valid for VI-RADS. Let’s work together to make it even better and more widely used.
  5 in total

Review 1.  Use of Vesical Imaging-Reporting and Data System (VI-RADS) for detecting the muscle invasion of bladder cancer: a diagnostic meta-analysis.

Authors:  Cheng Luo; Bin Huang; Yukun Wu; Junxing Chen; Lingwu Chen
Journal:  Eur Radiol       Date:  2020-04-02       Impact factor: 5.315

2.  Diagnostic Performance of Vesical Imaging Reporting and Data System for the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis.

Authors:  Sungmin Woo; Valeria Panebianco; Yoshifumi Narumi; Francesco Del Giudice; Valdair F Muglia; Mitsuru Takeuchi; Soleen Ghafoor; Bernard H Bochner; Alvin C Goh; Hedvig Hricak; James W F Catto; Hebert Alberto Vargas
Journal:  Eur Urol Oncol       Date:  2020-03-19

Review 3.  The accuracy of Vesical Imaging-Reporting and Data System (VI-RADS): an updated comprehensive multi-institutional, multi-readers systematic review and meta-analysis from diagnostic evidence into future clinical recommendations.

Authors:  Francesco Del Giudice; Rocco Simone Flammia; Martina Pecoraro; Marco Moschini; David D'Andrea; Emanuele Messina; Lucia Martina Pisciotti; Ettore De Berardinis; Alessandro Sciarra; Valeria Panebianco
Journal:  World J Urol       Date:  2022-03-16       Impact factor: 3.661

Review 4.  VI-RADS score system - A primer for urologists.

Authors:  Refky Nicola; Martina Pecoraro; Sara Lucciola; Rodolfo Borges Dos Reis; Yoshifumi Narumi; Valeria Panebianco; Valdair Francisco Muglia
Journal:  Int Braz J Urol       Date:  2022 Jul-Aug       Impact factor: 3.050

Review 5.  Multiparametric Magnetic Resonance Imaging for Bladder Cancer: Development of VI-RADS (Vesical Imaging-Reporting And Data System).

Authors:  Valeria Panebianco; Yoshifumi Narumi; Ersan Altun; Bernard H Bochner; Jason A Efstathiou; Shaista Hafeez; Robert Huddart; Steve Kennish; Seth Lerner; Rodolfo Montironi; Valdair F Muglia; Georg Salomon; Stephen Thomas; Hebert Alberto Vargas; J Alfred Witjes; Mitsuru Takeuchi; Jelle Barentsz; James W F Catto
Journal:  Eur Urol       Date:  2018-05-10       Impact factor: 20.096

  5 in total

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