These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
178 related articles for article (PubMed ID: 38051358)
1. Prediction of preoperative microvascular invasion by dynamic radiomic analysis based on contrast-enhanced computed tomography. Zhou Z; Xia T; Zhang T; Du M; Zhong J; Huang Y; Xuan K; Xu G; Wan Z; Ju S; Xu J Abdom Radiol (NY); 2024 Feb; 49(2):611-624. PubMed ID: 38051358 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. [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]
5. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT. Ma X; Wei J; Gu D; Zhu Y; Feng B; Liang M; Wang S; Zhao X; Tian J Eur Radiol; 2019 Jul; 29(7):3595-3605. PubMed ID: 30770969 [TBL] [Abstract][Full Text] [Related]
6. MRI-based clinical-radiomics nomogram model for predicting microvascular invasion in hepatocellular carcinoma. Wang Q; Zhou Y; Yang H; Zhang J; Zeng X; Tan Y Med Phys; 2024 Jul; 51(7):4673-4686. PubMed ID: 38642400 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma based on kupffer phase radiomics features of sonazoid contrast-enhanced ultrasound (SCEUS): A prospective study. Dong Y; Zuo D; Qiu YJ; Cao JY; Wang HZ; Yu LY; Wang WP Clin Hemorheol Microcirc; 2022; 81(1):97-107. PubMed ID: 35001883 [TBL] [Abstract][Full Text] [Related]
10. Radiomics model based on contrast-enhanced computed tomography imaging for early recurrence monitoring after radical resection of AFP-negative hepatocellular carcinoma. Yan X; Li Y; Qin W; Liao J; Fan J; Xie Y; Wang Z; Li S; Liao W BMC Cancer; 2024 Jun; 24(1):700. PubMed ID: 38849749 [TBL] [Abstract][Full Text] [Related]
11. Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model. Xia TY; Zhou ZH; Meng XP; Zha JH; Yu Q; Wang WL; Song Y; Wang YC; Tang TY; Xu J; Zhang T; Long XY; Liang Y; Xiao WB; Ju SH Radiology; 2023 May; 307(4):e222729. PubMed ID: 37097141 [TBL] [Abstract][Full Text] [Related]
12. Prediction of microvascular invasion in solitary hepatocellular carcinoma ≤ 5 cm based on computed tomography radiomics. Liu P; Tan XZ; Zhang T; Gu QB; Mao XH; Li YC; He YQ World J Gastroenterol; 2021 May; 27(17):2015-2024. PubMed ID: 34007136 [TBL] [Abstract][Full Text] [Related]
13. Radiomic Features of Multi-ROI and Multi-Phase MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma. Yang Y; Fan W; Gu T; Yu L; Chen H; Lv Y; Liu H; Wang G; Zhang D Front Oncol; 2021; 11():756216. PubMed ID: 34692547 [TBL] [Abstract][Full Text] [Related]
14. Multi-scale and multi-parametric radiomics of gadoxetate disodium-enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm. Chong HH; Yang L; Sheng RF; Yu YL; Wu DJ; Rao SX; Yang C; Zeng MS Eur Radiol; 2021 Jul; 31(7):4824-4838. PubMed ID: 33447861 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. Computed Tomography Radiomics-Based Prediction of Microvascular Invasion in Hepatocellular Carcinoma. Yao W; Yang S; Ge Y; Fan W; Xiang L; Wan Y; Gu K; Zhao Y; Zha R; Bu J Front Med (Lausanne); 2022; 9():819670. PubMed ID: 35402463 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. The Value of LI-RADS and Radiomic Features from MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma within 5 cm. Feng B; Wang L; Zhu Y; Ma X; Cong R; Cai W; Liu S; Hu J; Wang S; Zhao X Acad Radiol; 2024 Jun; 31(6):2381-2390. PubMed ID: 38199902 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. Predictive value of radiomics analysis of enhanced CT for three-tiered microvascular invasion grading in hepatocellular carcinoma. Zheng X; Xu YJ; Huang J; Cai S; Wang W Med Phys; 2023 Oct; 50(10):6079-6095. PubMed ID: 37517073 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]