154 related articles for article (PubMed ID: 36653278)
21. 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; 28(6):799-807. PubMed ID: 32386828
[TBL] [Abstract][Full Text] [Related]
22.
Hu S; Kang Y; Xie Y; Yang T; Yang Y; Jiao J; Zou Q; Zhang H; Zhang Y
Abdom Radiol (NY); 2023 Feb; 48(2):532-542. PubMed ID: 36370179
[TBL] [Abstract][Full Text] [Related]
23. Radiomic Features at Contrast-enhanced CT Predict Recurrence in Early Stage Hepatocellular Carcinoma: A Multi-Institutional Study.
Ji GW; Zhu FP; Xu Q; Wang K; Wu MY; Tang WW; Li XC; Wang XH
Radiology; 2020 Mar; 294(3):568-579. PubMed ID: 31934830
[TBL] [Abstract][Full Text] [Related]
24. Development and validation of a comprehensive radiomics nomogram for prognostic prediction of primary hepatic sarcomatoid carcinoma after surgical resection.
Tang Y; Zhang T; Zhao Y; Chen Z; Ma X
Int J Med Sci; 2021; 18(7):1711-1720. PubMed ID: 33746587
[No Abstract] [Full Text] [Related]
25. CT-based peritumoral radiomics signatures to predict early recurrence in hepatocellular carcinoma after curative tumor resection or ablation.
Shan QY; Hu HT; Feng ST; Peng ZP; Chen SL; Zhou Q; Li X; Xie XY; Lu MD; Wang W; Kuang M
Cancer Imaging; 2019 Feb; 19(1):11. PubMed ID: 30813956
[TBL] [Abstract][Full Text] [Related]
26. Radiomics analysis enables recurrence prediction for hepatocellular carcinoma after liver transplantation.
Guo D; Gu D; Wang H; Wei J; Wang Z; Hao X; Ji Q; Cao S; Song Z; Jiang J; Shen Z; Tian J; Zheng H
Eur J Radiol; 2019 Aug; 117():33-40. PubMed ID: 31307650
[TBL] [Abstract][Full Text] [Related]
27. Development and validation of a clinical-radiomics model to predict recurrence for patients with hepatocellular carcinoma after curative resection.
Ren Y; Bo L; Shen B; Yang J; Xu S; Shen W; Chen H; Wang X; Chen H; Cai X
Med Phys; 2023 Feb; 50(2):778-790. PubMed ID: 36269204
[TBL] [Abstract][Full Text] [Related]
28. A novel nomogram to predict the local tumor progression after microwave ablation in patients with early-stage hepatocellular carcinoma: A tool in prediction of successful ablation.
An C; Wu S; Huang Z; Ni J; Zuo M; Gu Y; Zhang T; Huang J
Cancer Med; 2020 Jan; 9(1):104-115. PubMed ID: 31714685
[TBL] [Abstract][Full Text] [Related]
29. Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study.
Ji GW; Zhu FP; Xu Q; Wang K; Wu MY; Tang WW; Li XC; Wang XH
EBioMedicine; 2019 Dec; 50():156-165. PubMed ID: 31735556
[TBL] [Abstract][Full Text] [Related]
30. An FDG PET/CT metabolic parameter-based nomogram for predicting the early recurrence of hepatocellular carcinoma after liver transplantation.
Miao W; Nie P; Yang G; Wang Y; Yan L; Zhao Y; Yu T; Yu M; Wu F; Rao W; Wang Z
Eur J Nucl Med Mol Imaging; 2021 Oct; 48(11):3656-3665. PubMed ID: 33813592
[TBL] [Abstract][Full Text] [Related]
31. A Cox Nomogram for Assessing Recurrence Free Survival in Hepatocellular Carcinoma Following Surgical Resection Using Dynamic Contrast-Enhanced MRI Radiomics.
Cao X; Yang H; Luo X; Zou L; Zhang Q; Li Q; Zhang J; Li X; Shi Y; Jin C
J Magn Reson Imaging; 2023 Dec; 58(6):1930-1941. PubMed ID: 37177868
[TBL] [Abstract][Full Text] [Related]
32. CT-based radiomics signature: a potential biomarker for preoperative prediction of early recurrence in hepatocellular carcinoma.
Zhou Y; He L; Huang Y; Chen S; Wu P; Ye W; Liu Z; Liang C
Abdom Radiol (NY); 2017 Jun; 42(6):1695-1704. PubMed ID: 28180924
[TBL] [Abstract][Full Text] [Related]
33. Radiomics analysis of [
Li Y; Zhang Y; Fang Q; Zhang X; Hou P; Wu H; Wang X
Eur J Nucl Med Mol Imaging; 2021 Jul; 48(8):2599-2614. PubMed ID: 33416951
[TBL] [Abstract][Full Text] [Related]
34. New nomogram predicts the recurrence of hepatocellular carcinoma in patients with negative preoperative serum AFP subjected to curative resection.
Gan W; Huang JL; Zhang MX; Fu YP; Yi Y; Jing CY; Fan J; Zhou J; Qiu SJ
J Surg Oncol; 2018 Jun; 117(7):1540-1547. PubMed ID: 29572833
[TBL] [Abstract][Full Text] [Related]
35. A radiomics-based nomogram for the preoperative prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma.
Cai W; He B; Hu M; Zhang W; Xiao D; Yu H; Song Q; Xiang N; Yang J; He S; Huang Y; Huang W; Jia F; Fang C
Surg Oncol; 2019 Mar; 28():78-85. PubMed ID: 30851917
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
[TBL] [Abstract][Full Text] [Related]
38. Nomograms to predict the long-time prognosis in patients with alpha-fetoprotein negative hepatocellular carcinoma following radical resection.
Huang J; Liu FC; Li L; Zhou WP; Jiang BG; Pan ZY
Cancer Med; 2020 Apr; 9(8):2791-2802. PubMed ID: 32096346
[TBL] [Abstract][Full Text] [Related]
39. Development of preoperative prognostic models including radiological features for survival of singular nodular HCC patients.
Ding DY; Liu L; Li HL; Gan XJ; Ding WB; Gu FM; Sun DP; Li W; Pan ZY; Yuan SX; Zhou WP
Hepatobiliary Pancreat Dis Int; 2023 Feb; 22(1):72-80. PubMed ID: 35428596
[TBL] [Abstract][Full Text] [Related]
40. Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma.
Yang Y; Zhou Y; Zhou C; Ma X
Eur J Surg Oncol; 2022 May; 48(5):1068-1077. PubMed ID: 34862094
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
