Accuracy of actual stage prediction using Vesical Imaging Reporting and Data System (VI-RADS) before radical cystectomy for urothelial carcinoma in SUPER-UC-Cx

Si Hyun Kim; Jang Hee Han; Seung-Hwan Jeong; Hyeong Dong Yuk; Chang Wook Jeong; Cheol Kwak; Hyeon Hoe Kim; Sang Youn Kim; Taek Min Kim; Jeong Yeon Cho; Ja Hyeon Ku

doi:10.21037/tau-22-704

Accuracy of actual stage prediction using Vesical Imaging Reporting and Data System (VI-RADS) before radical cystectomy for urothelial carcinoma in SUPER-UC-Cx

Transl Androl Urol. 2023 Feb 28;12(2):168-175. doi: 10.21037/tau-22-704. Epub 2023 Feb 3.

Authors

Si Hyun Kim¹, Jang Hee Han¹, Seung-Hwan Jeong¹, Hyeong Dong Yuk^{1

2}, Chang Wook Jeong^{1

2}, Cheol Kwak^{1

2}, Hyeon Hoe Kim^{1

2}, Sang Youn Kim³, Taek Min Kim³, Jeong Yeon Cho³, Ja Hyeon Ku^{1

2}

Affiliations

¹ Department of Urology, Seoul National University Hospital, Seoul, Korea.
² Department of Urology, Seoul National University College of Medicine, Seoul, Korea.
³ Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.

Abstract

Background: Previous studies using the Vesical Imaging Reporting and Data System (VI-RADS) to predict muscle-invasive bladder cancer (MIBC) had some limitations. Most studies were performed with transurethral resection of bladder tumor (TUR-BT) specimens with few samples. This study was conducted to address these shortcomings and confirm the accuracy of VI-RADS for bladder cancer.

Methods: This study used data from the Seoul National University Prospectively Enrolled Registry for Urothelial Cancer-Radical Cystectomy (SUPER-UC-Cx). Patients who underwent multiparametric magnetic resonance imaging (mp-MRI) before radical cystectomy (RC) were included in this study between March 2020 and March 2022. All images were reported by radiologists and reviewed by two urologists. The patient characteristics and clinical information were blinded during the review. The performance of qualitative and quantitative variables in predicting muscle layer invasion or perivesical fat infiltration was verified by receiver operating characteristic (ROC) curve analysis.

Results: Of 208 patients, 182 (87.5%) underwent mp-MRI before RC. Twenty-three patients with non-urothelial carcinoma, inappropriate MRI scans, and bladder filling were excluded. Cut-off for muscle invasion, VI-RADS score of 4 had the highest area under the curve (AUC) (sensitivity 0.84; specificity 0.93; accuracy 0.90; positive predictive value (PPV) 0.84; negative predictive value (NPV) 0.93, and AUC 0.88). Cut-off for perivesical fat invasion and VI-RADS score of 5 had the highest AUC (sensitivity, 0.78; specificity, 0.99; accuracy, 0.95; PPV, 0.96; NPV, 0.95; and AUC, 0.89).

Conclusions: VI-RADS is a good predictor of bladder cancer staging before RC and is especially helpful in predicting muscle invasion and perivesical fat infiltration.

Keywords: Vesical Imaging Reporting and Data System (VI-RADS); bladder cancer; cancer staging; magnetic resonance imaging (MRI); radical cystectomy (RC).