204 related articles for article (PubMed ID: 37541183)
1. Radiomics models for preoperative prediction of the histopathological grade of hepatocellular carcinoma: A systematic review and radiomics quality score assessment.
Wang Q; Wang A; Wu X; Hu X; Bai G; Fan Y; Stål P; Brismar TB
Eur J Radiol; 2023 Sep; 166():111015. PubMed ID: 37541183
[TBL] [Abstract][Full Text] [Related]
2. A Systematic Review and Meta-Analysis of MRI Radiomics for Predicting Microvascular Invasion in Patients with Hepatocellular Carcinoma.
Zhou HY; Cheng JM; Chen TW; Zhang XM; Ou J; Cao JM; Li HJ
Curr Med Imaging; 2024; 20():1-11. PubMed ID: 38389371
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. CT radiomics for prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis.
Zhou HY; Cheng JM; Chen TW; Zhang XM; Ou J; Cao JM; Li HJ
Clinics (Sao Paulo); 2023; 78():100264. PubMed ID: 37562218
[TBL] [Abstract][Full Text] [Related]
6. Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma.
Chen YD; Zhang L; Zhou ZP; Lin B; Jiang ZJ; Tang C; Dang YW; Xia YW; Song B; Long LL
World J Gastroenterol; 2022 Aug; 28(31):4399-4416. PubMed ID: 36159011
[TBL] [Abstract][Full Text] [Related]
7. Radiomics-based Machine Learning to Predict the Recurrence of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.
Jin J; Jiang Y; Zhao YL; Huang PT
Acad Radiol; 2024 Feb; 31(2):467-479. PubMed ID: 37867018
[TBL] [Abstract][Full Text] [Related]
8. Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma through dynamic contrast-enhanced magnetic resonance imaging-based radiomics.
Zhang Y; He D; Liu J; Wei YG; Shi LL
World J Gastroenterol; 2023 Apr; 29(13):2001-2014. PubMed ID: 37155523
[TBL] [Abstract][Full Text] [Related]
9. 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; 26(11):1208-1220. PubMed ID: 32231424
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
[TBL] [Abstract][Full Text] [Related]
13. Machine learning-based radiomics analysis of preoperative functional liver reserve with MRI and CT image.
Zhu L; Wang F; Chen X; Dong Q; Xia N; Chen J; Li Z; Zhu C
BMC Med Imaging; 2023 Jul; 23(1):94. PubMed ID: 37460944
[TBL] [Abstract][Full Text] [Related]
14. Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer.
Wang Q; Xu J; Wang A; Chen Y; Wang T; Chen D; Zhang J; Brismar TB
Radiol Med; 2023 Feb; 128(2):136-148. PubMed ID: 36648615
[TBL] [Abstract][Full Text] [Related]
15. Hepatocellular carcinoma pathologic grade prediction using radiomics and machine learning models of gadoxetic acid-enhanced MRI: a two-center study.
Han YE; Cho Y; Kim MJ; Park BJ; Sung DJ; Han NY; Sim KC; Park YS; Park BN
Abdom Radiol (NY); 2023 Jan; 48(1):244-256. PubMed ID: 36131163
[TBL] [Abstract][Full Text] [Related]
16. Radiomics models for preoperative prediction of microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis.
Zhong X; Long H; Su L; Zheng R; Wang W; Duan Y; Hu H; Lin M; Xie X
Abdom Radiol (NY); 2022 Jun; 47(6):2071-2088. PubMed ID: 35364684
[TBL] [Abstract][Full Text] [Related]
17.
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]
18. Radiomic analysis of Gd-EOB-DTPA-enhanced MRI predicts Ki-67 expression in hepatocellular carcinoma.
Fan Y; Yu Y; Wang X; Hu M; Hu C
BMC Med Imaging; 2021 Jun; 21(1):100. PubMed ID: 34130644
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]