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Journal Abstract Search

517 related items for PubMed ID: 32491239

  • 21. Prediction of therapeutic response of unresectable hepatocellular carcinoma to hepatic arterial infusion chemotherapy based on pretherapeutic MRI radiomics and Albumin-Bilirubin score.
    Zhao Y, Huang F, Liu S, Jian L, Xia X, Lin H, Liu J.
    J Cancer Res Clin Oncol; 2023 Jul; 149(8):5181-5192. PubMed ID: 36369395
    [Abstract] [Full Text] [Related]

  • 22. Development of a computed tomography-based radiomics nomogram for prediction of transarterial chemoembolization refractoriness in hepatocellular carcinoma.
    Niu XK, He XF.
    World J Gastroenterol; 2021 Jan 14; 27(2):189-207. PubMed ID: 33510559
    [Abstract] [Full Text] [Related]

  • 23. Hepatocellular carcinoma: radiomics nomogram on gadoxetic acid-enhanced MR imaging for early postoperative recurrence prediction.
    Zhang Z, Jiang H, Chen J, Wei Y, Cao L, Ye Z, Li X, Ma L, Song B.
    Cancer Imaging; 2019 May 14; 19(1):22. PubMed ID: 31088553
    [Abstract] [Full Text] [Related]

  • 24. MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes.
    Xiao G, Hu YC, Ren JL, Qin P, Han JC, Qu XY, Rong WC, Yan WQ, Tian Q, Han Y, Wang WP, Wang SM, Ma J, Wang W, Cui GB.
    Eur Radiol; 2021 Jan 14; 31(1):447-457. PubMed ID: 32700020
    [Abstract] [Full Text] [Related]

  • 25. 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]

  • 26. Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure.
    Zhu WS, Shi SY, Yang ZH, Song C, Shen J.
    World J Gastroenterol; 2020 Mar 21; 26(11):1208-1220. PubMed ID: 32231424
    [Abstract] [Full Text] [Related]

  • 27. 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 21; 50(6):1893-1904. PubMed ID: 30980695
    [Abstract] [Full Text] [Related]

  • 28. Intratumoral and peritumoral radiomics based on contrast-enhanced MRI for preoperatively predicting treatment response of transarterial chemoembolization in hepatocellular carcinoma.
    Zhao Y, Zhang J, Wang N, Xu Q, Liu Y, Liu J, Zhang Q, Zhang X, Chen A, Chen L, Sheng L, Song Q, Wang F, Guo Y, Liu A.
    BMC Cancer; 2023 Oct 24; 23(1):1026. PubMed ID: 37875815
    [Abstract] [Full Text] [Related]

  • 29. A nomogram based on bi-regional radiomics features from multimodal magnetic resonance imaging for preoperative prediction of microvascular invasion in hepatocellular carcinoma.
    Zhang R, Xu L, Wen X, Zhang J, Yang P, Zhang L, Xue X, Wang X, Huang Q, Guo C, Shi Y, Niu T, Chen F.
    Quant Imaging Med Surg; 2019 Sep 24; 9(9):1503-1515. PubMed ID: 31667137
    [Abstract] [Full Text] [Related]

  • 30. CT-Based Radiomics Nomogram: A Potential Tool for Differentiating Hepatocellular Adenoma From Hepatocellular Carcinoma in the Noncirrhotic Liver.
    Nie P, Wang N, Pang J, Yang G, Duan S, Chen J, Xu W.
    Acad Radiol; 2021 Jun 24; 28(6):799-807. PubMed ID: 32386828
    [Abstract] [Full Text] [Related]

  • 31. Radiomics-based nomogram using CT imaging for noninvasive preoperative prediction of early recurrence in patients with hepatocellular carcinoma.
    Zhu HB, Zheng ZY, Zhao H, Zhang J, Zhu H, Li YH, Dong ZY, Xiao LS, Kuang JJ, Zhang XL, Liu L.
    Diagn Interv Radiol; 2020 Sep 24; 26(5):411-419. PubMed ID: 32490826
    [Abstract] [Full Text] [Related]

  • 32. Prediction of early recurrence of hepatocellular carcinoma after liver transplantation based on computed tomography radiomics nomogram.
    Zhao JW, Shu X, Chen XX, Liu JX, Liu MQ, Ye J, Jiang HJ, Wang GS.
    Hepatobiliary Pancreat Dis Int; 2022 Dec 24; 21(6):543-550. PubMed ID: 35705443
    [Abstract] [Full Text] [Related]

  • 33. Nomogram Based on CT Radiomics Features Combined With Clinical Factors to Predict Ki-67 Expression in Hepatocellular Carcinoma.
    Wu C, Chen J, Fan Y, Zhao M, He X, Wei Y, Ge W, Liu Y.
    Front Oncol; 2022 Dec 24; 12():943942. PubMed ID: 35875154
    [Abstract] [Full Text] [Related]

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  • 37. Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature.
    Wu M, Tan H, Gao F, Hai J, Ning P, Chen J, Zhu S, Wang M, Dou S, Shi D.
    Eur Radiol; 2019 Jun 24; 29(6):2802-2811. PubMed ID: 30406313
    [Abstract] [Full Text] [Related]

  • 38. MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively.
    Li Z, Li H, Wang S, Dong D, Yin F, Chen A, Wang S, Zhao G, Fang M, Tian J, Wu S, Wang H.
    J Magn Reson Imaging; 2019 May 24; 49(5):1420-1426. PubMed ID: 30362652
    [Abstract] [Full Text] [Related]

  • 39. MRI-Based Radiomics: Associations With the Recurrence-Free Survival of Patients With Hepatocellular Carcinoma Treated With Conventional Transcatheter Arterial Chemoembolization.
    Song W, Yu X, Guo D, Liu H, Tang Z, Liu X, Zhou J, Zhang H, Liu Y, Liu X.
    J Magn Reson Imaging; 2020 Aug 24; 52(2):461-473. PubMed ID: 31675174
    [Abstract] [Full Text] [Related]

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