key: cord-0067004-oeunk2ee authors: Séguier, Denis; Puech, Philippe; Kool, Ronald; Dernis, Léa; Gabert, Héléna; Kassouf, Wassim; Villers, Arnauld; Marcq, Gautier title: 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 date: 2021-08-25 journal: Ther Adv Urol DOI: 10.1177/17562872211039583 sha: 53bd28493fdc6e6d6a2453a806910c690999f8a3 doc_id: 67004 cord_uid: oeunk2ee 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. Bladder cancer (BC) represents a real public health challenge. About 550,00 bladder cancer cases were diagnosed in 2018, worldwide. 1 One of the main challenges in bladder cancer management lies in the need to quickly distinguish between patients with non-muscle invasive BC (NMIBC) and patients with muscle invasive BC (MIBC). In Europe, the 5-year age-standardized relative survival rate of all BC was approximately 70%, ranging on average from 60% to 80% between countries. 2 Current imaging modalities such as ultrasound or computerized tomography urogram (CTU) have shown limited performance to assess muscle invasion. Despite this, the good overall sensitivity (about 90%) to diagnose BC with CT urography, NMIBC/MIBC discrimination remains challenging. [3] [4] [5] Therefore, the use of complementary investigations, especially with transurethral resection of bladder tumors (TURBT) is needed. To achieve such a goal, other imaging modalities should be further investigated. Magnetic resonance imaging (MRI) was largely investigated in many cancers but not BC. The Prostate Imaging-Reporting And Data System (PI-RADS) and Breast Imaging-Reporting And Data System (BI-RADS) are already validated and broadly used. 6, 7 As of mid-2019, they have been 19 ' reporting and data system' reported. Four of them included the use of MRI (Liver Imaging and Reporting and Data System, Neck Imaging and Reporting and Data System, BI-RADS, and PI-RADS). Panebianco et al. 8 in 2018 provided a novel standardized approach to the imaging and reporting of BC with multiparametric MRI (mpMRI). They developed a Vesical Imaging-Reporting and Data System (VI-RADS) score. After performing a non-systematic literature review in BC and MRI imaging, they proposed the use of T2-weighted (T2W) images, diffusion-weighted magnetic resonance imaging (DWI), dynamic contrast-enhanced image (DCE) tumors appearances to constitute the VI-RADS score. This new score was designed for untreated bladders and does not yet have validated clinical applications. This may explain a relatively low uptake among the radiology and urology communities so far. Our aims were first to conduct a systematic review of the literature to describe, outreach, and evaluate the performance of the VI-RADS score and secondly to report its potential applications, future outlooks, and limitations. Between June 2020 and December 2020, we conducted a systematic review using the MEDLINE and EMBASE electronic bibliographic databases. An overall PICO assessment for the review was performed (Supplemental Table 1 ). 9 The search strategy included a mix of the following terms: 'Magnetic Resonance Imaging', 'VI-RADS', 'Non-muscle invasive bladder cancer', 'muscle invasive bladder cancer', 'urinary bladder/neoplasm', 'urinary bladder/diagnosis', and 'urinary bladder/imaging'. The search strategy followed the PRISMA guidelines. 10 Only studies written in English or French were accepted. Studies published between January 2018 and December 2020 were sought. The searches were re-run just before the final submission and one additional study was retrieved for inclusion. We included all reports to assess the VI-RADS score, its performance, and its applications. All selected abstracts were implemented in RAYYAN. 11 Two authors (DS and GM) independently identified studies that potentially met the inclusion criteria using titles and/or abstracts, followed by a full text analysis also performed independently. The full text of these potentially eligible studies was retrieved and independently assessed. No disagreements between the readers were noted. A total of 20 relevant studies: three meta-analyses, five prospective studies, and twelve retrospective studies were retrieved ( Figure 1 ). Extracted information included: study type, population studied, definition of the VI-RADS score, how performance was assessed, control for accuracy of the scoring system, interobserver agreement, sensitivity, specificity, and accuracy for each score. The specificity and sensitivity we reported for each threshold evaluated regarded the likelihood of muscle invasive disease. A risk bias assessment was performed following the Cochrane Handbook for systematic review (Supplemental Table 2 ). 8, 12 Aggregate studies data was used and a purely descriptive narrative synthesis was planned. Panebianco et al. 8 in 2018 provided a standardized approach to imaging and reporting mpMRI for bladder cancer; as a result, they developed the VI-RADS score. This score was designed to assess the likelihood of muscle invasion on pathology (