Multiparametric magnetic resonance imaging for bladder cancer: a comprehensive systematic review of the Vesical Imaging-Reporting and Data System (VI-RADS) performance and potential clinical applications

医学 膀胱癌 磁共振成像 前瞻性队列研究 回顾性队列研究 梅德林 癌症 放射科 医学物理学 内科学 政治学 法学
作者
Denis Séguier,Philippe Puech,Ronald Kool,Léa Dernis,Héléna Gabert,Wassim Kassouf,Arnauld Villers,Gautier Marcq
出处
期刊:Therapeutic Advances in Urology [SAGE Publishing]
卷期号:13 被引量:22
标识
DOI:10.1177/17562872211039583
摘要

Background: The Vesical Imaging-Reporting and Data System (VI-RADS) score is a novel standardized approach to image and report bladder cancer (BC) with multiparametric MRI (mpMRI). Objectives: To describe and evaluate the performance of the VI-RADS score using mpMRI and assess its potential clinical applications and limitations. Methods: A systematic review was conducted using the MEDLINE and EMBASE electronic bibliographic databases between June 2020 and December 2020. All reports deemed relevant to describe the VI-RADS score and assess its performance and applications were retrieved. Results presentation stands as narrative, purely descriptive synthesis based on aggregate studies data. Results: A total of 20 relevant studies were retrieved: three meta-analyses, five prospective studies, and twelve retrospective studies. The retrospective studies covered 1676 patients, while the prospective studies included a total number of 468 patients. Pooled sensitivity, specificity to differentiate muscle-invasive from non-muscle-invasive bladder cancer, ranged from 74.1% to 97.3%, and 77% to 100%, respectively. The chosen VI-RADS score thresholds for this discrimination varied across studies. The interreader agreement ranged from 0.73 to 0.95. Currently, the potential clinical applications of VI-RADS consist of initial BC risk stratification, assessment of neoadjuvant therapies response, and bladder sparing approaches, although further validation is required. Conclusions: The VI-RADS score helps to discriminate muscle invasive from non-muscle invasive BC with good performance and reproducibility. A simple algorithm based on four basic questions may enhance its popularization. Further studies are required to validate the clinical applications.

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