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Journal Abstract Search

139 related items for PubMed ID: 38306973

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  • 3. Non-contrast magnetic resonance imaging for bladder cancer: fused high b value diffusion-weighted imaging and T2-weighted imaging helps evaluate depth of invasion.
    Lee M, Shin SJ, Oh YT, Jung DC, Cho NH, Choi YD, Park SY.
    Eur Radiol; 2017 Sep; 27(9):3752-3758. PubMed ID: 28168374
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  • 4. Vesical Imaging Reporting and Data System (VI-RADS): Are the individual MRI sequences equivalent in diagnostic performance of high grade NMIBC and MIBC?
    Gmeiner J, Garstka N, Helbich TH, Shariat SF, Baltzer PA.
    Eur J Radiol; 2021 Sep; 142():109829. PubMed ID: 34252867
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  • 6. Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study.
    Wang H, Xu X, Zhang X, Liu Y, Ouyang L, Du P, Li S, Tian Q, Ling J, Guo Y, Lu H.
    Eur Radiol; 2020 Sep; 30(9):4816-4827. PubMed ID: 32318846
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  • 8. Differentiation of Muscular Invasion in Bladder Cancer: Additional Value of Synthetic Magnetic Resonance Imaging.
    Zhang X, Guo J, Yun Y, Shan D, Yang D, Xu C, Chen X.
    Acad Radiol; 2024 Oct; 31(10):4076-4084. PubMed ID: 38548534
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  • 10. Vesical Imaging-Reporting and Data System for Multiparametric MRI to Predict the Presence of Muscle Invasion for Bladder Cancer.
    Hong SB, Lee NK, Kim S, Son IW, Ha HK, Ku JY, Kim KH, Park WY.
    J Magn Reson Imaging; 2020 Oct; 52(4):1249-1256. PubMed ID: 32220105
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  • 13. Diagnostic accuracy and discriminative power of biparametric versus multiparametric MRI in predicting muscle-invasive bladder cancer.
    Elshetry ASF, El-Fawakry RM, Hamed EM, Metwally MI, Zaid NA.
    Eur J Radiol; 2022 Jun; 151():110282. PubMed ID: 35381566
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  • 14. Multiple directional DWI combined with T2WI in predicting muscle layer and Ki-67 correlation in bladder cancer in 3.0-T MRI.
    Zhang W, Zhang Z, Xiao W, Wang Y, Ye L, Wei Y, Luo M.
    Cancer Med; 2023 May; 12(9):10462-10472. PubMed ID: 36916547
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  • 16. Radiomics analysis of multiparametric MRI for the preoperative evaluation of pathological grade in bladder cancer tumors.
    Wang H, Hu D, Yao H, Chen M, Li S, Chen H, Luo J, Feng Y, Guo Y.
    Eur Radiol; 2019 Nov; 29(11):6182-6190. PubMed ID: 31016445
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  • 18. Clinical validity of non-contrast-enhanced VI-RADS: prospective study using 3-T MRI with high-gradient magnetic field.
    Watanabe M, Taguchi S, Machida H, Tambo M, Takeshita Y, Kariyasu T, Fukushima K, Shimizu Y, Okegawa T, Fukuhara H, Yokoyama K.
    Eur Radiol; 2022 Nov; 32(11):7513-7521. PubMed ID: 35554648
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  • 19. Pictorial review of multiparametric MRI in bladder urothelial carcinoma with variant histology: pearls and pitfalls.
    Arita Y, Woo S, Kwee TC, Shigeta K, Ueda R, Nalavenkata S, Edo H, Miyai K, Das J, Andrieu PIC, Vargas HA.
    Abdom Radiol (NY); 2024 Aug; 49(8):2797-2811. PubMed ID: 38847848
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  • 20. Predicting muscle invasion in bladder cancer by deep learning analysis of MRI: comparison with vesical imaging-reporting and data system.
    Li J, Cao K, Lin H, Deng L, Yang S, Gao Y, Liang M, Lin C, Zhang W, Xie C, Zhang K, Luo J, Pan Z, Yue P, Zou Y, Huang B.
    Eur Radiol; 2023 Apr; 33(4):2699-2709. PubMed ID: 36434397
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