Unknown

Dataset Information

0

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.


ABSTRACT:

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.

SUBMITTER: Seguier D 

PROVIDER: S-EPMC8392809 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC6690492 | biostudies-literature
| S-EPMC8155615 | biostudies-literature
| S-EPMC10700510 | biostudies-literature
| S-EPMC7602537 | biostudies-literature
| S-EPMC9237003 | biostudies-literature
2018-12-01 | GSE101908 | GEO
| S-EPMC10662806 | biostudies-literature
| S-EPMC6991280 | biostudies-literature
| S-EPMC8476778 | biostudies-literature
| S-EPMC7047169 | biostudies-literature