132 related articles for article (PubMed ID: 33267948)
1. CT-based radiomics model to distinguish necrotic hepatocellular carcinoma from pyogenic liver abscess.
Hu MJ; Yu YX; Fan YF; Hu CH
Clin Radiol; 2021 Feb; 76(2):161.e11-161.e17. PubMed ID: 33267948
[TBL] [Abstract][Full Text] [Related]
2. Spectral CT imaging in the differential diagnosis of necrotic hepatocellular carcinoma and hepatic abscess.
Yu Y; Guo L; Hu C; Chen K
Clin Radiol; 2014 Dec; 69(12):e517-24. PubMed ID: 25248290
[TBL] [Abstract][Full Text] [Related]
3. Influence of different region of interest sizes on CT-based radiomics model for microvascular invasion prediction in hepatocellular carcinoma.
Zhao H; Feng Z; Li H; Yao S; Zheng W; Rong P
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1049-1057. PubMed ID: 36097772
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules.
Mokrane FZ; Lu L; Vavasseur A; Otal P; Peron JM; Luk L; Yang H; Ammari S; Saenger Y; Rousseau H; Zhao B; Schwartz LH; Dercle L
Eur Radiol; 2020 Jan; 30(1):558-570. PubMed ID: 31444598
[TBL] [Abstract][Full Text] [Related]
6. Feasibility Study of Computed Tomographic Radiomics Model for the Prediction of Early and Intermediate Stage Hepatocellular Carcinoma Using BCLC Staging.
Dong H; Yang L; Shaofeng D; Lili G
Technol Cancer Res Treat; 2024; 23():15330338241245943. PubMed ID: 38660703
[TBL] [Abstract][Full Text] [Related]
7. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
[No Abstract] [Full Text] [Related]
8. Preoperative Diagnosis of Dual-Phenotype Hepatocellular Carcinoma Using Enhanced MRI Radiomics Models.
Wu Q; Yu YX; Zhang T; Zhu WJ; Fan YF; Wang XM; Hu CH
J Magn Reson Imaging; 2023 Apr; 57(4):1185-1196. PubMed ID: 36190656
[TBL] [Abstract][Full Text] [Related]
9. 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; 20(1):20. PubMed ID: 32093786
[TBL] [Abstract][Full Text] [Related]
10. Application of CT radiomics in prediction of early recurrence in hepatocellular carcinoma.
Ning P; Gao F; Hai J; Wu M; Chen J; Zhu S; Wang M; Shi D
Abdom Radiol (NY); 2020 Jan; 45(1):64-72. PubMed ID: 31486869
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Magnetic resonance radiomics signatures for predicting poorly differentiated hepatocellular carcinoma: A SQUIRE-compliant study.
Yang X; Yuan C; Zhang Y; Wang Z
Medicine (Baltimore); 2021 May; 100(19):e25838. PubMed ID: 34106622
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. [Value of spectral CT-based quantitative analysis in differential diagnosis of liver cancer and liver abscess].
Gao HQ; Hu CH; Yu YX; Hu S; Shi C; Wang XM; Guo L
Zhonghua Gan Zang Bing Za Zhi; 2016 Sep; 24(9):676-680. PubMed ID: 27788724
[No Abstract] [Full Text] [Related]
15. Using a single abdominal computed tomography image to differentiate five contrast-enhancement phases: A machine-learning algorithm for radiomics-based precision medicine.
Dercle L; Ma J; Xie C; Chen AP; Wang D; Luk L; Revel-Mouroz P; Otal P; Peron JM; Rousseau H; Lu L; Schwartz LH; Mokrane FZ; Zhao B
Eur J Radiol; 2020 Apr; 125():108850. PubMed ID: 32070870
[TBL] [Abstract][Full Text] [Related]
16. A radiomics-based biomarker for cytokeratin 19 status of hepatocellular carcinoma with gadoxetic acid-enhanced MRI.
Wang W; Gu D; Wei J; Ding Y; Yang L; Zhu K; Luo R; Rao SX; Tian J; Zeng M
Eur Radiol; 2020 May; 30(5):3004-3014. PubMed ID: 32002645
[TBL] [Abstract][Full Text] [Related]
17. 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; 27(2):189-207. PubMed ID: 33510559
[TBL] [Abstract][Full Text] [Related]
18. Predicting Survival Using Pretreatment CT for Patients With Hepatocellular Carcinoma Treated With Transarterial Chemoembolization: Comparison of Models Using Radiomics.
Kim J; Choi SJ; Lee SH; Lee HY; Park H
AJR Am J Roentgenol; 2018 Nov; 211(5):1026-1034. PubMed ID: 30240304
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]