385 related articles for article (PubMed ID: 32962762)
1. The application of texture quantification in hepatocellular carcinoma using CT and MRI: a review of perspectives and challenges.
Masokano IB; Liu W; Xie S; Marcellin DFH; Pei Y; Li W
Cancer Imaging; 2020 Sep; 20(1):67. PubMed ID: 32962762
[TBL] [Abstract][Full Text] [Related]
2. Radiomics in CT and MR imaging of the liver and pancreas: tools with potential for clinical application.
Berbís MÁ; Godino FP; Rodríguez-Comas J; Nava E; García-Figueiras R; Baleato-González S; Luna A
Abdom Radiol (NY); 2024 Jan; 49(1):322-340. PubMed ID: 37889265
[TBL] [Abstract][Full Text] [Related]
3. State-of-the-art in radiomics of hepatocellular carcinoma: a review of basic principles, applications, and limitations.
Miranda Magalhaes Santos JM; Clemente Oliveira B; Araujo-Filho JAB; Assuncao-Jr AN; de M Machado FA; Carlos Tavares Rocha C; Horvat JV; Menezes MR; Horvat N
Abdom Radiol (NY); 2020 Feb; 45(2):342-353. PubMed ID: 31707435
[TBL] [Abstract][Full Text] [Related]
4. Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma.
Xu X; Zhang HL; Liu QP; Sun SW; Zhang J; Zhu FP; Yang G; Yan X; Zhang YD; Liu XS
J Hepatol; 2019 Jun; 70(6):1133-1144. PubMed ID: 30876945
[TBL] [Abstract][Full Text] [Related]
5. Radiomics-based classification of hepatocellular carcinoma and hepatic haemangioma on precontrast magnetic resonance images.
Wu J; Liu A; Cui J; Chen A; Song Q; Xie L
BMC Med Imaging; 2019 Mar; 19(1):23. PubMed ID: 30866850
[TBL] [Abstract][Full Text] [Related]
6. [Prediction of short-term prognosis of hepatocellular carcinoma after TACE surgery based on MRI texture analysis technology].
Weng W; Lü XL; Zhang QQ; Zhao XM; Chen CM; Kong CL; Lu CY; Chen MJ; Ji JS
Zhonghua Yi Xue Za Zhi; 2020 Mar; 100(11):828-832. PubMed ID: 32234153
[No Abstract] [Full Text] [Related]
7. Multiparametric imaging for detection and characterization of hepatocellular carcinoma using gadoxetic acid-enhanced MRI and perfusion-CT: which parameters work best?
Kurucay M; Kloth C; Kaufmann S; Nikolaou K; Bösmüller H; Horger M; Thaiss WM
Cancer Imaging; 2017 Jun; 17(1):18. PubMed ID: 28659180
[TBL] [Abstract][Full Text] [Related]
8. Radiomics of hepatocellular carcinoma.
Lewis S; Hectors S; Taouli B
Abdom Radiol (NY); 2021 Jan; 46(1):111-123. PubMed ID: 31925492
[TBL] [Abstract][Full Text] [Related]
9. Current status and future perspectives of radiomics in hepatocellular carcinoma.
Miranda J; Horvat N; Fonseca GM; Araujo-Filho JAB; Fernandes MC; Charbel C; Chakraborty J; Coelho FF; Nomura CH; Herman P
World J Gastroenterol; 2023 Jan; 29(1):43-60. PubMed ID: 36683711
[TBL] [Abstract][Full Text] [Related]
10. Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data.
Wang W; Chen Q; Iwamoto Y; Han X; Zhang Q; Hu H; Lin L; Chen YW
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4881-4884. PubMed ID: 31946954
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Radiomics models for diagnosing microvascular invasion in hepatocellular carcinoma: which model is the best model?
Ni M; Zhou X; Lv Q; Li Z; Gao Y; Tan Y; Liu J; Liu F; Yu H; Jiao L; Wang G
Cancer Imaging; 2019 Aug; 19(1):60. PubMed ID: 31455432
[TBL] [Abstract][Full Text] [Related]
14. Multidetector row CT and MR imaging in diagnosing hepatocellular carcinoma.
Murakami T; Hori M; Kim T; Kawata S; Abe H; Nakamura H
Intervirology; 2004; 47(3-5):209-26. PubMed ID: 15383731
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Radiomics Analysis on Noncontrast CT for Distinguishing Hepatic Hemangioma (HH) and Hepatocellular Carcinoma (HCC).
Hu S; Lyu X; Li W; Cui X; Liu Q; Xu X; Wang J; Chen L; Zhang X; Yin Y
Contrast Media Mol Imaging; 2022; 2022():7693631. PubMed ID: 35833080
[TBL] [Abstract][Full Text] [Related]
17. Radiomics based analysis to predict local control and survival in hepatocellular carcinoma patients treated with volumetric modulated arc therapy.
Cozzi L; Dinapoli N; Fogliata A; Hsu WC; Reggiori G; Lobefalo F; Kirienko M; Sollini M; Franceschini D; Comito T; Franzese C; Scorsetti M; Wang PM
BMC Cancer; 2017 Dec; 17(1):829. PubMed ID: 29207975
[TBL] [Abstract][Full Text] [Related]
18. Hepatocarcinogenesis and LI-RADS.
Narsinh KH; Cui J; Papadatos D; Sirlin CB; Santillan CS
Abdom Radiol (NY); 2018 Jan; 43(1):158-168. PubMed ID: 29209739
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Current status of magnetic resonance imaging radiomics in hepatocellular carcinoma: A quantitative review with Radiomics Quality Score.
Brancato V; Cerrone M; Garbino N; Salvatore M; Cavaliere C
World J Gastroenterol; 2024 Jan; 30(4):381-417. PubMed ID: 38313230
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
