Validation of Vesical Imaging Reporting and Data System score for the diagnosis of muscle-invasive bladder cancer: A prospective cross-sectional study

Autor: Gupta Bhagwan Sahay, Priyadarshi Shivam, Sharma Govind, Singla Mohit, Kumar Ashok, Vyas Nachiket, Kumawat Ghanshyam
Rok vydání: 2022
Předmět:
Zdroj: Asian Journal of Urology. 9:467-472
ISSN: 2214-3882
Popis: Objective Vesical Imaging Reporting and Data System (VIRADS) score was developed to standardize the reporting and staging of bladder tumors on pre-operative multiparametric magnetic resonance imaging (mpMRI). It helps in avoiding unnecessary repeat transurethral resection of bladder tumor (Re-TURBT) in high-risk non-muscle-invasive bladder cancer (NMIBC) patients. This study was done to determine the validity of VIRADS score prospectively for the diagnosis of muscle-invasive bladder cancer. Methods This study was conducted from March 2019 to March 2020 at Sawai Mansingh Medical College and Hospital, Jaipur, Rajasthan, India. Patients admitted with the provisional diagnosis of bladder tumor were included as participants. All these patients underwent a 3 T mpMRI to obtain a VIRADS score before they underwent a TURBT and these data were analysed to evaluate the correlation of pre-operative VIRADS score with muscle invasiveness of the tumor in final biopsy report. Results A cut off of VIRADS ≥4 for prediction of detrusor muscle invasion yielded a sensitivity of 79.4%, specificity of 94.2%, positive predictive value (PPV) of 90%, negative predictive value (NPV) of 87.5%, and diagnostic accuracy of 86.37%. A cut off of VIRADS ≥3 for prediction of detrusor muscle invasion yielded a sensitivity of 91.2%, specificity of 78.8%, PPV of 73.8%, NPV of 93.2%, and accuracy of 83.7%. The receiver operating curve (ROC) showed the area under the curve (AUC) to be 0.922 (95% confidence interval: 0.862–0.983). Conclusions VIRADS score appears to be an excellent and effective preoperative radiological tool for the prediction of detrusor muscle invasion in bladder cancer.
Databáze: OpenAIRE