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Journal Abstract Search

233 related items for PubMed ID: 36434397

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. Clinical utility of the Vesical Imaging-Reporting and Data System for muscle-invasive bladder cancer between radiologists and urologists based on multiparametric MRI including 3D FSE T2-weighted acquisitions.
    Arita Y, Shigeta K, Akita H, Suzuki T, Kufukihara R, Kwee TC, Ishii R, Mikami S, Okuda S, Kikuchi E, Oya M, Jinzaki M.
    Eur Radiol; 2021 Feb; 31(2):875-883. PubMed ID: 32829418
    [Abstract] [Full Text] [Related]

  • 3. Integrating radiomics with the vesical imaging-reporting and data system to predict muscle invasion of bladder cancer.
    Wang W, Li W, Wang K, Wu J, Qiu J, Zhang Y, Zhang X, Wang H, Wang X.
    Urol Oncol; 2023 Jun; 41(6):294.e1-294.e8. PubMed ID: 36526525
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  • 5. Biparametric versus Multiparametric Magnetic Resonance Imaging for Assessing Muscle Invasion in Bladder Urothelial Carcinoma with Variant Histology Using the Vesical Imaging-Reporting and Data System.
    Arita Y, Kwee TC, Woo S, Shigeta K, Ishii R, Okawara N, Edo H, Waseda Y, Vargas HA.
    Eur Urol Focus; 2024 Jan; 10(1):131-138. PubMed ID: 37633790
    [Abstract] [Full Text] [Related]

  • 6. 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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  • 7. Detecting Muscle Invasion of Bladder Cancer: An Application of Diffusion Kurtosis Imaging Ratio and Vesical Imaging-Reporting and Data System.
    Qin C, Tian Q, Zhou H, Qin Y, Zhou S, Wu Y, Tianjiao E, Duan S, Li Y, Wang X, Chen Z, Zheng G, Feng F.
    J Magn Reson Imaging; 2024 Jul; 60(1):54-64. PubMed ID: 37916908
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  • 9. Novel utility of Vesical Imaging-Reporting and Data System in multimodal treatment for muscle-invasive bladder cancer.
    Kimura K, Yoshida S, Tsuchiya J, Kitazume Y, Waseda Y, Tanaka H, Yokoyama M, Toda K, Yoshimura R, Masaya I, Koga F, Tateishi U, Fujii Y.
    Eur Radiol; 2023 Sep; 33(9):6245-6255. PubMed ID: 37045982
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  • 11. Amide Proton Transfer-Weighted MRI and Diffusion-Weighted Imaging in Bladder Cancer: A Complementary Tool to the VI-RADS.
    Kong L, Wen Z, Cai Q, Lin Y, Chen Y, Cao W, Li M, Qian L, Chen J, Guo Y, Wang H.
    Acad Radiol; 2024 Feb; 31(2):564-571. PubMed ID: 37821347
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  • 12. 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. MRI evaluation of vesical imaging reporting and data system for bladder cancer after neoadjuvant chemotherapy.
    Zhang X, Wang Y, Wang Y, Zhang J, Zhang J, Zhang L, Wang S, Shou J, Chen Y, Zhao X.
    Cancer Imaging; 2024 Apr 08; 24(1):49. PubMed ID: 38584289
    [Abstract] [Full Text] [Related]

  • 14. Diagnostic Accuracy and Interobserver Agreement for the Vesical Imaging-Reporting and Data System for Muscle-invasive Bladder Cancer: A Multireader Validation Study.
    Ueno Y, Takeuchi M, Tamada T, Sofue K, Takahashi S, Kamishima Y, Hinata N, Harada K, Fujisawa M, Murakami T.
    Eur Urol; 2019 Jul 08; 76(1):54-56. PubMed ID: 30922688
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  • 15. Comparison of the diagnostic performance of biparametric and multiparametric MRI in detecting muscle invasion of bladder cancer located at the ureteral orifice.
    Eryuruk U, Tasdemir MN, Aslan S.
    Abdom Radiol (NY); 2023 Oct 08; 48(10):3174-3182. PubMed ID: 37328615
    [Abstract] [Full Text] [Related]

  • 16. Performance of VI-RADS in predicting muscle-invasive bladder cancer after transurethral resection: a single center retrospective analysis.
    Chai JL, Roller LA, Liu X, Lan Z, Mossanen M, Silverman SG, Shinagare AB.
    Abdom Radiol (NY); 2024 May 08; 49(5):1593-1602. PubMed ID: 38502214
    [Abstract] [Full Text] [Related]

  • 17. Prospective Validation of Vesical Imaging-Reporting and Data System Using a Next-Generation Magnetic Resonance Imaging Scanner-Is Denoising Deep Learning Reconstruction Useful?
    Taguchi S, Tambo M, Watanabe M, Machida H, Kariyasu T, Fukushima K, Shimizu Y, Okegawa T, Yokoyama K, Fukuhara H.
    J Urol; 2021 Mar 08; 205(3):686-692. PubMed ID: 33021428
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  • 18. Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning.
    Li J, Qiu Z, Cao K, Deng L, Zhang W, Xie C, Yang S, Yue P, Zhong J, Lyu J, Huang X, Zhang K, Zou Y, Huang B.
    Comput Methods Programs Biomed; 2023 May 08; 233():107466. PubMed ID: 36907040
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  • 19. A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: results of a prospective multicenter study.
    Bicchetti M, Simone G, Giannarini G, Girometti R, Briganti A, Brunocilla E, Cardone G, De Cobelli F, Gaudiano C, Del Giudice F, Flammia S, Leonardo C, Pecoraro M, Schiavina R, Catalano C, Panebianco V.
    Radiol Med; 2022 Aug 08; 127(8):881-890. PubMed ID: 35763251
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