Ahmet Akcay1, Ahmet Baki Yagci1, Sinan Celen2, Yusuf Ozlulerden3, Nilay Sen Turk4, Furkan Ufuk5. 1. Department of Radiology, University of Pamukkale, Kinikli, 20100 Denizli, Turkey. 2. Department of Urology, University of Pamukkale, Kinikli, 20100 Denizli, Turkey. 3. Department of Urology, University of Pamukkale, Kinikli, 20100 Denizli, Turkey. Electronic address: yozlulerden@pau.edu.tr. 4. Department of Pathology, University of Pamukkale, Kinikli, 20100 Denizli, Turkey. 5. Department of Radiology, University of Pamukkale, Kinikli, 20100 Denizli, Turkey. Electronic address: furkan.ufuk@hotmail.com.
Abstract
BACKGROUND: Vesical Imaging Reporting and Data System (VI-RADS) is a useful tool for evaluating muscle layer invasion of bladder cancer (BCa) on magnetic resonance imaging (MRI). PURPOSE: To evaluate the diagnostic performance of bladder MRI to detect the muscle layer invasion of BCa using VI-RADS score and quantitative MRI parameters. METHODS: Preoperative bladder MRI was performed in 73 BCa patients. Two observers independently evaluated the MR blinded to histopathological data and classified the tumors according to VI-RADS criteria. Moreover, the quantitative parameters (maximum tumor diameter; Dmax, tumor contact length; TCL, and tumor apparent diffusion coefficient; ADC values) were independently measured by observers. The diagnostic performance of the VI-RADS score and quantitative values were evaluated by using receiver operating characteristic (ROC) analysis. Interobserver agreement was evaluated using the weighted-kappa coefficient (κ). RESULTS: For the VI-RADS score, the AUC (area under the curve) was 0.968 and accuracy was 90.4% for Observer 1, and AUC was 0.953, accuracy was 89% for Observer 2. The AUC of TCL, TCL/DMax, and ADC values was 0.918, 0.675, and 0.832. In patients with a VI-RADS score ≥ 3, when a threshold value of TCL > 19.5 mm is used as complementary to the VI-RADS score, the accuracy of MRI for Observer-1 increases 100% and 97.26% for Observer-2. There was a good-excellent agreement between the observers in assessing the VI-RADS scores and quantitative parameters. CONCLUSION: Evaluation of bladder MRI using both VI-RADS criteria and TCL is successful and highly reproducible for detecting muscle layer invasion in patients with BCa.
BACKGROUND: Vesical Imaging Reporting and Data System (VI-RADS) is a useful tool for evaluating muscle layer invasion of bladder cancer (BCa) on magnetic resonance imaging (MRI). PURPOSE: To evaluate the diagnostic performance of bladder MRI to detect the muscle layer invasion of BCa using VI-RADS score and quantitative MRI parameters. METHODS: Preoperative bladder MRI was performed in 73 BCa patients. Two observers independently evaluated the MR blinded to histopathological data and classified the tumors according to VI-RADS criteria. Moreover, the quantitative parameters (maximum tumor diameter; Dmax, tumor contact length; TCL, and tumor apparent diffusion coefficient; ADC values) were independently measured by observers. The diagnostic performance of the VI-RADS score and quantitative values were evaluated by using receiver operating characteristic (ROC) analysis. Interobserver agreement was evaluated using the weighted-kappa coefficient (κ). RESULTS: For the VI-RADS score, the AUC (area under the curve) was 0.968 and accuracy was 90.4% for Observer 1, and AUC was 0.953, accuracy was 89% for Observer 2. The AUC of TCL, TCL/DMax, and ADC values was 0.918, 0.675, and 0.832. In patients with a VI-RADS score ≥ 3, when a threshold value of TCL > 19.5 mm is used as complementary to the VI-RADS score, the accuracy of MRI for Observer-1 increases 100% and 97.26% for Observer-2. There was a good-excellent agreement between the observers in assessing the VI-RADS scores and quantitative parameters. CONCLUSION: Evaluation of bladder MRI using both VI-RADS criteria and TCL is successful and highly reproducible for detecting muscle layer invasion in patients with BCa.
Authors: Gita M Schoenberg; Viktoria Schuetz; Joanne N Nyarangi-Dix; Steffen J Diehl; Rafael Heiss; Boris Adamietz Journal: Urologe A Date: 2022-03-09 Impact factor: 0.639
Authors: 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 Journal: World J Urol Date: 2022-03-16 Impact factor: 3.661