Computed tomography-based prediction model for identifying patients with high probability of non-muscle-invasive bladder cancer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Urology,Gastroenterology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://link.springer.com/content/pdf/10.1007/s00261-023-04069-8.pdf
Reference36 articles.
1. Panebianco V, Narumi Y, Altun E, Bochner BH, Efstathiou JA, Hafeez S, Huddart R, Kennish S, Lerner S, Montironi R, Muglia VF, Salomon G, Thomas S, Vargas HA, Witjes JA, Takeuchi M, Barentsz J, Catto JWF (2018) Multiparametric Magnetic Resonance Imaging for Bladder Cancer: Development of VI-RADS (Vesical Imaging-Reporting And Data System). Eur Urol 74:294-306. https://doi.org/10.1016/j.eururo.2018.04.029
2. Ueno Y, Takeuchi M, Tamada T, Sofue K, Takahashi S, Kamishima Y, Hinata N, Harada K, Fujisawa M, Murakami T (2019) Diagnostic Accuracy and Interobserver Agreement for the Vesical Imaging-Reporting and Data System for Muscle-invasive Bladder Cancer: A Multireader Validation Study. Eur Urol 76:54-56. https://doi.org/10.1016/j.eururo.2019.03.012
3. Woo S, Panebianco V, Narumi Y, Del Giudice F, Muglia VF, Takeuchi M, Ghafoor S, Bochner BH, Goh AC, Hricak H, Catto JWF, Vargas HA (2020) Diagnostic Performance of Vesical Imaging Reporting and Data System for the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis. Eur Urol Oncol 3:306-315. https://doi.org/10.1016/j.euo.2020.02.007
4. Luo C, Huang B, Wu Y, Chen J, Chen L (2020) Use of Vesical Imaging-Reporting and Data System (VI-RADS) for detecting the muscle invasion of bladder cancer: a diagnostic meta-analysis. Eur Radiol 30:4606-4614. https://doi.org/10.1007/s00330-020-06802-z
5. Feng Y, Zhong K, Chen R, Zhou W (2022) Diagnostic accuracy of vesical imaging-reporting and data system (VI-RADS) for the detection of muscle-invasive bladder cancer: a meta-analysis. Abdom Radiol (NY) 47:1396-1405. https://doi.org/10.1007/s00261-022-03449-w
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