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Journal Abstract Search

138 related items for PubMed ID: 36343408

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  • 2. A novel predict method for muscular invasion of bladder cancer based on 3D mp-MRI feature fusion.
    Yu J, Cai L, Chen C, Zou Y, Xiao Y, Fu X, Wang L, Yang X, Liu P, Lu Q, Sun X, Shao Q.
    Phys Med Biol; 2024 Feb 22; 69(5):. PubMed ID: 38306973
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  • 3. Prospective Assessment of Vesical Imaging Reporting and Data System (VI-RADS) and Its Clinical Impact on the Management of High-risk Non-muscle-invasive Bladder Cancer Patients Candidate for Repeated Transurethral Resection.
    Del Giudice F, Barchetti G, De Berardinis E, Pecoraro M, Salvo V, Simone G, Sciarra A, Leonardo C, Gallucci M, Catalano C, Catto JWF, Panebianco V.
    Eur Urol; 2020 Jan 22; 77(1):101-109. PubMed ID: 31699526
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  • 4. Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis.
    Xu X, Zhang X, Tian Q, Wang H, Cui LB, Li S, Tang X, Li B, Dolz J, Ayed IB, Liang Z, Yuan J, Du P, Lu H, Liu Y.
    J Magn Reson Imaging; 2019 May 22; 49(5):1489-1498. PubMed ID: 30252978
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  • 5. 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 22; 233():107466. PubMed ID: 36907040
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  • 9. Development of a noninvasive tool to preoperatively evaluate the muscular invasiveness of bladder cancer using a radiomics approach.
    Zheng J, Kong J, Wu S, Li Y, Cai J, Yu H, Xie W, Qin H, Wu Z, Huang J, Lin T.
    Cancer; 2019 Dec 15; 125(24):4388-4398. PubMed ID: 31469418
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  • 10. Intravoxel incoherent motion diffusion-weighted imaging in assessing bladder cancer invasiveness and cell proliferation.
    Wang F, Wu LM, Hua XL, Zhao ZZ, Chen XX, Xu JR.
    J Magn Reson Imaging; 2018 Apr 15; 47(4):1054-1060. PubMed ID: 28815808
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  • 11. 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 15; 31(2):875-883. PubMed ID: 32829418
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  • 12. 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 15; 12(9):10462-10472. PubMed ID: 36916547
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  • 13. An evaluation of morphological and functional multi-parametric MRI sequences in classifying non-muscle and muscle invasive bladder cancer.
    Panebianco V, De Berardinis E, Barchetti G, Simone G, Leonardo C, Grompone MD, Del Monte M, Carano D, Gallucci M, Catto J, Catalano C.
    Eur Radiol; 2017 Sep 15; 27(9):3759-3766. PubMed ID: 28181054
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  • 14. Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides.
    Woerl AC, Eckstein M, Geiger J, Wagner DC, Daher T, Stenzel P, Fernandez A, Hartmann A, Wand M, Roth W, Foersch S.
    Eur Urol; 2020 Aug 15; 78(2):256-264. PubMed ID: 32354610
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  • 17. Multiparametric MRI of the bladder: inter-observer agreement and accuracy with the Vesical Imaging-Reporting and Data System (VI-RADS) at a single reference center.
    Barchetti G, Simone G, Ceravolo I, Salvo V, Campa R, Del Giudice F, De Berardinis E, Buccilli D, Catalano C, Gallucci M, Catto JWF, Panebianco V.
    Eur Radiol; 2019 Oct 15; 29(10):5498-5506. PubMed ID: 30887202
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  • 18. 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 15; 33(4):2699-2709. PubMed ID: 36434397
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  • 20. Detecting the muscle invasiveness of bladder cancer: An application of diffusion kurtosis imaging and tumor contact length.
    Li Q, Cao B, Liu K, Sun H, Ding Y, Yan C, Wu PY, Dai C, Rao S, Zeng M, Jiang S, Zhou J.
    Eur J Radiol; 2022 Jun 15; 151():110329. PubMed ID: 35487092
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