Bladder MRI with deep learning-based reconstruction: a prospective evaluation of muscle invasiveness using VI-RADS
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00261-024-04280-1.pdf
Reference22 articles.
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3. Shindo T, Masumori N, Kitamura H et al (2014) Clinical significance of definite muscle layer in TUR specimen for evaluating progression rate in T1G3 bladder cancer: multicenter retrospective study by the Sapporo Medical University Urologic Oncology Consortium (SUOC). World J Urol 32:1281-1285
4. Panebianco V, Narumi Y, Altun E et al (2018) Multiparametric Magnetic Resonance Imaging for Bladder Cancer: Development of VI-RADS (Vesical Imaging-Reporting And Data System). Eur Urol 74:294-306
5. Griswold MA, Jakob PM, Heidemann RM et al (2002) Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med 47:1202-1210
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