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Journal Abstract Search

417 related items for PubMed ID: 31215096

  • 1. Can clinical radiomics nomogram based on 3D multiparametric MRI features and clinical characteristics estimate early recurrence of pelvic chondrosarcoma?
    Yin P, Mao N, Liu X, Sun C, Wang S, Chen L, Hong N.
    J Magn Reson Imaging; 2020 Feb; 51(2):435-445. PubMed ID: 31215096
    [Abstract] [Full Text] [Related]

  • 2. 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; 50(6):1893-1904. PubMed ID: 30980695
    [Abstract] [Full Text] [Related]

  • 3. Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer.
    Tang TY, Li X, Zhang Q, Guo CX, Zhang XZ, Lao MY, Shen YN, Xiao WB, Ying SH, Sun K, Yu RS, Gao SL, Que RS, Chen W, Huang DB, Pang PP, Bai XL, Liang TB.
    J Magn Reson Imaging; 2020 Jul; 52(1):231-245. PubMed ID: 31867839
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  • 4. Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy.
    Zhao Y, Wu J, Zhang Q, Hua Z, Qi W, Wang N, Lin T, Sheng L, Cui D, Liu J, Song Q, Li X, Wu T, Guo Y, Cui J, Liu A.
    J Magn Reson Imaging; 2021 Apr; 53(4):1066-1079. PubMed ID: 33217114
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  • 5. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
    Wang Q, Li Q, Mi R, Ye H, Zhang H, Chen B, Li Y, Huang G, Xia J.
    J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
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  • 7. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymphovascular Space Invasion in Endometrial Carcinoma.
    Luo Y, Mei D, Gong J, Zuo M, Guo X.
    J Magn Reson Imaging; 2020 Oct; 52(4):1257-1262. PubMed ID: 32315482
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  • 11. Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma.
    Zhang B, Tian J, Dong D, Gu D, Dong Y, Zhang L, Lian Z, Liu J, Luo X, Pei S, Mo X, Huang W, Ouyang F, Guo B, Liang L, Chen W, Liang C, Zhang S.
    Clin Cancer Res; 2017 Aug 01; 23(15):4259-4269. PubMed ID: 28280088
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  • 14. [Prediction of platinum-based chemotherapy sensitivity for epithelial ovarian cancer by multi-sequence MRI-based radiomic nomogram].
    Mao MM, Li HM, Shi J, Qiu QS, Feng F.
    Zhonghua Yi Xue Za Zhi; 2022 Jan 18; 102(3):201-208. PubMed ID: 35042289
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  • 15. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
    Li ZY, Wang XD, Li M, Liu XJ, Ye Z, Song B, Yuan F, Yuan Y, Xia CC, Zhang X, Li Q.
    World J Gastroenterol; 2020 May 21; 26(19):2388-2402. PubMed ID: 32476800
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  • 16. A pretreatment multiparametric MRI-based radiomics-clinical machine learning model for predicting radiation-induced temporal lobe injury in patients with nasopharyngeal carcinoma.
    Wang L, Qiu T, Zhou J, Zhu Y, Sun B, Yang G, Huang S, Wu L, He X.
    Head Neck; 2024 Sep 21; 46(9):2132-2144. PubMed ID: 38887926
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  • 17. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomic Model for Discrimination of Pathological Subtypes of Craniopharyngioma.
    Huang ZS, Xiao X, Li XD, Mo HZ, He WL, Deng YH, Lu LJ, Wu YK, Liu H.
    J Magn Reson Imaging; 2021 Nov 21; 54(5):1541-1550. PubMed ID: 34085336
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  • 18. Radiomics Based on MRI as a Biomarker to Guide Therapy by Predicting Upgrading of Prostate Cancer From Biopsy to Radical Prostatectomy.
    Zhang GM, Han YQ, Wei JW, Qi YF, Gu DS, Lei J, Yan WG, Xiao Y, Xue HD, Feng F, Sun H, Jin ZY, Tian J.
    J Magn Reson Imaging; 2020 Oct 21; 52(4):1239-1248. PubMed ID: 32181985
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  • 19. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
    Cui S, Tang T, Su Q, Wang Y, Shu Z, Yang W, Gong X.
    Cancer Imaging; 2021 Mar 09; 21(1):26. PubMed ID: 33750453
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