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 - Summary - MDSpire
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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
To assess the cumulative diagnostic performance of VI-RADS scoring criteria for distinguishing between non-muscle invasive bladder cancer (NMIBC) and muscle invasive bladder cancer (MIBC) clinical staging, and to evaluate the pooled diagnostic performance among different genito-urinary (GU) readers and MRI scanners.
Key Findings:
VI-RADS shows promising performance in distinguishing NMIBC from MIBC, which could significantly impact clinical decision-making.
Previous meta-analyses had limitations in statistical power and variability in reader experience and MRI technology.
Optimal diagnostic settings, reproducibility, and threshold cut-off criteria for VI-RADS remain unresolved, necessitating further investigation.
Interpretation:
The findings suggest that while VI-RADS is a valuable tool for bladder cancer staging, further research is needed to standardize its application and improve diagnostic accuracy across different clinical settings, which could enhance patient outcomes.
Limitations:
Limited granularity in previous studies due to small sample sizes, which may affect the reliability of the findings.
Variability in MRI scanners and reader experience may affect outcomes, highlighting the need for standardized protocols.
Lack of consensus on appropriate VI-RADS cut-off thresholds, which complicates clinical application.
Conclusion:
The systematic review highlights the need for further dedicated clinical trials to validate VI-RADS and establish standardized diagnostic protocols for muscle invasion assessment in bladder cancer, addressing the identified limitations to improve diagnostic accuracy.
by 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
