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663 related items for PubMed ID: 31469418

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

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  • 3. A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer.
    Wu S, Zheng J, Li Y, Yu H, Shi S, Xie W, Liu H, Su Y, Huang J, Lin T.
    Clin Cancer Res; 2017 Nov 15; 23(22):6904-6911. PubMed ID: 28874414
    [Abstract] [Full Text] [Related]

  • 4. Multi-Sequence and Multi-Regional MRI-Based Radiomics Nomogram for the Preoperative Assessment of Muscle Invasion in Bladder Cancer.
    Zhang L, Li X, Yang L, Tang Y, Guo J, Li D, Li S, Li Y, Wang L, Lei Y, Qiao H, Yang G, Wang X.
    J Magn Reson Imaging; 2023 Jul 15; 58(1):258-269. PubMed ID: 36300676
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  • 5. Compressed sensing 3D T2WI radiomics model: improving diagnostic performance in muscle invasion of bladder cancer.
    Li S, Fan Z, Guo J, Li D, Chen Z, Zhang X, Wang Y, Li Y, Yang G, Wang X.
    BMC Med Imaging; 2024 Jun 17; 24(1):148. PubMed ID: 38886638
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  • 8. 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 17; 30(9):4816-4827. PubMed ID: 32318846
    [Abstract] [Full Text] [Related]

  • 9. A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors.
    Xu X, Wang H, Du P, Zhang F, Li S, Zhang Z, Yuan J, Liang Z, Zhang X, Guo Y, Liu Y, Lu H.
    J Magn Reson Imaging; 2019 Dec 17; 50(6):1893-1904. PubMed ID: 30980695
    [Abstract] [Full Text] [Related]

  • 10. Integrating multiparametric MRI radiomics features and the Vesical Imaging-Reporting and Data System (VI-RADS) for bladder cancer grading.
    Zheng Z, Xu F, Gu Z, Yan Y, Xu T, Liu S, Yao X.
    Abdom Radiol (NY); 2021 Sep 17; 46(9):4311-4323. PubMed ID: 33978825
    [Abstract] [Full Text] [Related]

  • 11. Radiomics nomogram outperforms size criteria in discriminating lymph node metastasis in resectable esophageal squamous cell carcinoma.
    Tan X, Ma Z, Yan L, Ye W, Liu Z, Liang C.
    Eur Radiol; 2019 Jan 17; 29(1):392-400. PubMed ID: 29922924
    [Abstract] [Full Text] [Related]

  • 12. 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 17; 29(11):6182-6190. PubMed ID: 31016445
    [Abstract] [Full Text] [Related]

  • 13. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
    Zheng Z, Chen Z, Xie Y, Zhong Q, Xie W.
    Eur Radiol; 2021 Aug 17; 31(8):6078-6086. PubMed ID: 33515086
    [Abstract] [Full Text] [Related]

  • 14. Development and validation of a radiomics nomogram for identifying invasiveness of pulmonary adenocarcinomas appearing as subcentimeter ground-glass opacity nodules.
    Zhao W, Xu Y, Yang Z, Sun Y, Li C, Jin L, Gao P, He W, Wang P, Shi H, Hua Y, Li M.
    Eur J Radiol; 2019 Mar 17; 112():161-168. PubMed ID: 30777206
    [Abstract] [Full Text] [Related]

  • 15. Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram.
    Zhang R, Jia S, Zhai L, Wu F, Zhang S, Li F.
    BMC Med Imaging; 2024 Apr 27; 24(1):98. PubMed ID: 38678222
    [Abstract] [Full Text] [Related]

  • 16. A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma.
    Peng J, Zhang J, Zhang Q, Xu Y, Zhou J, Liu L.
    Diagn Interv Radiol; 2018 Apr 27; 24(3):121-127. PubMed ID: 29770763
    [Abstract] [Full Text] [Related]

  • 17. A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival.
    Zhang X, Lu H, Tian Q, Feng N, Yin L, Xu X, Du P, Liu Y.
    Eur Radiol; 2019 Oct 27; 29(10):5528-5538. PubMed ID: 30847586
    [Abstract] [Full Text] [Related]

  • 18. Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging.
    Wang T, Gao T, Yang J, Yan X, Wang Y, Zhou X, Tian J, Huang L, Zhang M.
    Eur J Radiol; 2019 May 27; 114():128-135. PubMed ID: 31005162
    [Abstract] [Full Text] [Related]

  • 19. A CT-based radiomics nomogram for differentiation of focal nodular hyperplasia from hepatocellular carcinoma in the non-cirrhotic liver.
    Nie P, Yang G, Guo J, Chen J, Li X, Ji Q, Wu J, Cui J, Xu W.
    Cancer Imaging; 2020 Feb 24; 20(1):20. PubMed ID: 32093786
    [Abstract] [Full Text] [Related]

  • 20. Differentiating minimally invasive and invasive adenocarcinomas in patients with solitary sub-solid pulmonary nodules with a radiomics nomogram.
    Feng B, Chen X, Chen Y, Li Z, Hao Y, Zhang C, Li R, Liao Y, Zhang X, Huang Y, Long W.
    Clin Radiol; 2019 Jul 24; 74(7):570.e1-570.e11. PubMed ID: 31056198
    [Abstract] [Full Text] [Related]

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