200 related articles for article (PubMed ID: 36803649)
21. Machine Learning-Based Development of Nomogram for Hepatocellular Carcinoma to Predict Acute Liver Function Deterioration After Drug-Eluting Beads Transarterial Chemoembolization.
Li J; Zhang Y; Ye H; Hu L; Li X; Li Y; Yu P; Wu B; Lv P; Li Z
Acad Radiol; 2023 Sep; 30 Suppl 1():S40-S52. PubMed ID: 37316369
[TBL] [Abstract][Full Text] [Related]
22. Evaluation of Texture Analysis Parameter for Response Prediction in Patients with Hepatocellular Carcinoma Undergoing Drug-eluting Bead Transarterial Chemoembolization (DEB-TACE) Using Biphasic Contrast-enhanced CT Image Data: Correlation with Liver Perfusion CT.
Kloth C; Thaiss WM; Kärgel R; Grimmer R; Fritz J; Ioanoviciu SD; Ketelsen D; Nikolaou K; Horger M
Acad Radiol; 2017 Nov; 24(11):1352-1363. PubMed ID: 28652049
[TBL] [Abstract][Full Text] [Related]
23. A radiomics nomogram for predicting transcatheter arterial chemoembolization refractoriness of hepatocellular carcinoma without extrahepatic metastasis or macrovascular invasion.
Sheen H; Kim JS; Lee JK; Choi SY; Baek SY; Kim JY
Abdom Radiol (NY); 2021 Jun; 46(6):2839-2849. PubMed ID: 33388805
[TBL] [Abstract][Full Text] [Related]
24. An interpretable machine learning model based on contrast-enhanced CT parameters for predicting treatment response to conventional transarterial chemoembolization in patients with hepatocellular carcinoma.
Zhang L; Jin Z; Li C; He Z; Zhang B; Chen Q; You J; Ma X; Shen H; Wang F; Wu L; Ma C; Zhang S
Radiol Med; 2024 Mar; 129(3):353-367. PubMed ID: 38353864
[TBL] [Abstract][Full Text] [Related]
25. Transarterial chemoembolization combined with recombinant human adenovirus type 5 H101 prolongs overall survival of patients with intermediate to advanced hepatocellular carcinoma: a prognostic nomogram study.
He CB; Lao XM; Lin XJ
Chin J Cancer; 2017 Jul; 36(1):59. PubMed ID: 28728568
[TBL] [Abstract][Full Text] [Related]
26. Prognostic role of multiparameter MRI and radiomics in progression of advanced unresectable hepatocellular carcinoma following combined transcatheter arterial chemoembolization and lenvatinib therapy.
Luo J; Huang Z; Wang M; Li T; Huang J
BMC Gastroenterol; 2022 Mar; 22(1):108. PubMed ID: 35260095
[TBL] [Abstract][Full Text] [Related]
27. Applying arterial enhancement fraction (AEF) texture features to predict the tumor response in hepatocellular carcinoma (HCC) treated with Transarterial chemoembolization (TACE).
Mao X; Guo Y; Wen F; Liang H; Sun W; Lu Z
Cancer Imaging; 2021 Aug; 21(1):49. PubMed ID: 34384496
[TBL] [Abstract][Full Text] [Related]
28. Radiomics model based on contrast-enhanced computed tomography to predict early recurrence in patients with hepatocellular carcinoma after radical resection.
Li SQ; Su LL; Xu TF; Ren LY; Chen DB; Qin WY; Yan XZ; Fan JX; Chen HS; Liao WJ
World J Gastroenterol; 2023 Jul; 29(26):4186-4199. PubMed ID: 37475840
[TBL] [Abstract][Full Text] [Related]
29. Validation of the six-and-twelve criteria among patients with hepatocellular carcinoma and performance score 1 receiving transarterial chemoembolization.
Wang ZX; Li J; Wang EX; Xia DD; Bai W; Wang QH; Yuan J; Li XM; Niu J; Yin ZX; Xia JL; Fan DM; Han GH
World J Gastroenterol; 2020 Apr; 26(15):1805-1819. PubMed ID: 32351295
[TBL] [Abstract][Full Text] [Related]
30. Body Composition Changes in Hepatocellular Carcinoma: Prediction of Survival to Transcatheter Arterial Chemoembolization in Combination With Clinical Prognostic Factors.
Zheng X; Cao F; Qian L; Dong J
Cancer Control; 2021; 28():10732748211038445. PubMed ID: 34569304
[TBL] [Abstract][Full Text] [Related]
31. Role of C-arm CT for transcatheter arterial chemoembolization of hepatocellular carcinoma: diagnostic performance and predictive value for therapeutic response compared with gadoxetic acid-enhanced MRI.
Yu MH; Kim JH; Yoon JH; Kim HC; Chung JW; Han JK; Choi BI
AJR Am J Roentgenol; 2013 Sep; 201(3):675-83. PubMed ID: 23971463
[TBL] [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; 21(6):543-550. PubMed ID: 35705443
[TBL] [Abstract][Full Text] [Related]
33. A Radiomics Signature-Based Nomogram to Predict the Progression-Free Survival of Patients With Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization Plus Radiofrequency Ablation.
Fang S; Lai L; Zhu J; Zheng L; Xu Y; Chen W; Wu F; Wu X; Chen M; Weng Q; Ji J; Zhao Z; Tu J
Front Mol Biosci; 2021; 8():662366. PubMed ID: 34532340
[No Abstract] [Full Text] [Related]
34. Radiomics Analysis Based on Contrast-Enhanced MRI for Prediction of Therapeutic Response to Transarterial Chemoembolization in Hepatocellular Carcinoma.
Zhao Y; Wang N; Wu J; Zhang Q; Lin T; Yao Y; Chen Z; Wang M; Sheng L; Liu J; Song Q; Wang F; An X; Guo Y; Li X; Wu T; Liu AL
Front Oncol; 2021; 11():582788. PubMed ID: 33868988
[TBL] [Abstract][Full Text] [Related]
35. A nomogram to predict survival of patients with intermediate-stage hepatocellular carcinoma after transarterial chemoembolization combined with microwave ablation.
Ni JY; Fang ZT; Sun HL; An C; Huang ZM; Zhang TQ; Jiang XY; Chen YT; Xu LF; Huang JH
Eur Radiol; 2020 Apr; 30(4):2377-2390. PubMed ID: 31900694
[TBL] [Abstract][Full Text] [Related]
36. Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma.
Zhang C; Ma LD; Zhang XL; Lei C; Yuan SS; Li JP; Geng ZJ; Li XM; Quan XY; Zheng C; Geng YY; Zhang J; Zheng QL; Hou J; Xie SY; Lu LH; Xie CM
J Magn Reson Imaging; 2024 Jul; 60(1):231-242. PubMed ID: 37888871
[TBL] [Abstract][Full Text] [Related]
37. Automatic prediction of hepatic arterial infusion chemotherapy response in advanced hepatocellular carcinoma with deep learning radiomic nomogram.
Xu Z; An C; Shi F; Ren H; Li Y; Chen S; Dou J; Wang Y; Yan S; Lu J; Chen H
Eur Radiol; 2023 Dec; 33(12):9038-9051. PubMed ID: 37498380
[TBL] [Abstract][Full Text] [Related]
38. Added value of CE-CT radiomics to predict high Ki-67 expression in hepatocellular carcinoma.
Zhao YM; Xie SS; Wang J; Zhang YM; Li WC; Ye ZX; Shen W
BMC Med Imaging; 2023 Sep; 23(1):138. PubMed ID: 37737166
[TBL] [Abstract][Full Text] [Related]
39. Radiomics signature: A potential biomarker for β-arrestin1 phosphorylation prediction in hepatocellular carcinoma.
Che F; Xu Q; Li Q; Huang ZX; Yang CW; Wang LY; Wei Y; Shi YJ; Song B
World J Gastroenterol; 2022 Apr; 28(14):1479-1493. PubMed ID: 35582676
[TBL] [Abstract][Full Text] [Related]
40. Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.
Mao B; Zhang L; Ning P; Ding F; Wu F; Lu G; Geng Y; Ma J
Eur Radiol; 2020 Dec; 30(12):6924-6932. PubMed ID: 32696256
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
