The Vesical Imaging-Reporting and Data System (VI-RADS) scoring system effectively determines detrusor muscle invasion in patients with untreated bladder cancer undergoing multiparametric MRI before transurethral resection of bladder tumor and/or cystectomy. BackgroundThe Vesical Imaging-Reporting and Data System (VI-RADS) scoring system was created in 2018 to standardize imaging and reporting of bladder cancer staging with multiparametric MRI. The system provides a five-point VI-RADS score, which suggests the likelihood of detrusor muscle invasion. Muscle-invasive disease carries a worse prognosis and requires radical surgery.PurposeTo determine the performance of the VI-RADS score in detecting muscle-invasive bladder cancer in a cohort of patients undergoing multiparametric MRI before surgery.Materials and MethodsIn this retrospective study, a total of 340 patients with bladder cancer were identified from a database of consecutive patients undergoing multiparametric MRI from November 2011 to August 2018. The tumor with the largest burden was selected in those patients with multifocal tumors. Bladder tumors were retrospectively categorized according to the VI-RADS five-point scoring system by two readers, independently and in consensus, who were blinded to h...
3 June 2021 in Journal of Magnetic Resonance Imaging
Amide proton transfer-weighted MRI has potential in improving the diagnostic performance of diffusion-weighted MRI for high-grade bladder cancer. Background Bladder cancer is classified into high and low grades with different clinical treatments and prognoses. Thus, accurate preoperative evaluation of the histologic grade through imaging tec...
The Vesical Imaging Reporting and Data System could be used to accurately detect detrusor muscle invasion in patients with bladder cancer occurring at ureteral orifices. Background The Vesical Imaging Reporting and Data System (VI-RADS) based on multiparametric MRI scans standardizes preoperative bladder cancer staging. However, limitations have been reported for V...