Premium
Vesical Imaging–Reporting and Data System for Multiparametric MRI to Predict the Presence of Muscle Invasion for Bladder Cancer
Author(s) -
Hong Seung Baek,
Lee Nam Kyung,
Kim Suk,
Son Il Wan,
Ha Hong Koo,
Ku Ja Yoon,
Kim Kyung Hwan,
Park Won Young
Publication year - 2020
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.27141
Subject(s) - medicine , bladder cancer , multiparametric mri , radiology , confidence interval , cancer , prostate cancer
Background The Vesical Imaging–Reporting and Data System (VI‐RADS) is a newly developed system of bladder cancer staging with multiparametric MRI (mpMRI), which can be used to predict the presence of muscle invasion for bladder cancer. Purpose To evaluate the accuracy of three mpMRI series (T 2 WI, diffusion‐weighted imaging [DWI], and dynamic contrast‐enhanced image [DCEI]) and VI‐RADS for diagnosing the muscle invasive bladder cancer (MIBC). Study Type Retrospective. Population In all, 66 pathologically proven bladder cancers in 32 patients. Field Strength/Sequence Before the diagnostic MRI with an intramuscular antispasmodic agent, optimal bladder distension was confirmed. 3.0T MRI with T 2 WI, DWI, and DCEI. Assessment Three reviewers independently assessed and scored the bladder cancers in T 2 WI, DWI, and DCEI using a five‐point score system. Based on the scores in the three sequences, reviewers scored each bladder cancer with reference to VI‐RADS categories. We evaluated the diagnostic performance of each of three mpMRI sequences and the final VI‐RADS categorization for diagnosing MIBC. Statistical Tests Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the area under the curve (AUC) of each of three sequences separately and VI‐RADS categorization for diagnosing the MIBC. Results The diagnostic performances of each of the three mpMRI series and VI‐RADS for diagnosing MIBC were excellent. Especially using the optimal cutoff score >3 for predicting MIBC on DWI, DCEI, and VI‐RADS, the sensitivity, specificity, PPV, NPV, and AUC values were 90% (95% confidence interval [CI]: 0.56, 1.00), 100% (95% CI: 0.94, 1.00), 100% (95% CI: 0.66. 1.00), 98.3% (95% CI: 0.91, 1.00), and 0.95, respectively. Data Conclusion mpMRI based on VI‐RADS can stratify patients with bladder cancer according to the presence of muscle invasion. Level of Evidence 3. Technical Efficacy Stage 2. J. Magn. Reson. Imaging 2020;52:1249–1256.