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Cited by in CrossRef
For: Li YM, Zhu YM, Gao LM, Han ZW, Chen XJ, Yan C, Ye RP, Cao DR. Radiomic analysis based on multi-phase magnetic resonance imaging to predict preoperatively microvascular invasion in hepatocellular carcinoma. World J Gastroenterol 2022; 28(24): 2733-2747 [PMID: 35979164 DOI: 10.3748/wjg.v28.i24.2733]
URL: https://www.wjgnet.com/1948-9366/full/v28/i24/2733.htm
Number Citing Articles
1
Le Guo, Xijun Li, Chao Zhang, Yang Xu, Lujun Han, Ling Zhang. Radiomics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Preoperative Differentiation of Combined Hepatocellular-Cholangiocarcinoma from Hepatocellular Carcinoma: A Multi-Center StudyJournal of Hepatocellular Carcinoma 2023; : 795 doi: 10.2147/JHC.S406648
2
Valentina Brancato, Marco Cerrone, Nunzia Garbino, Marco Salvatore, Carlo Cavaliere. Current status of magnetic resonance imaging radiomics in hepatocellular carcinoma: A quantitative review with Radiomics Quality ScoreWorld Journal of Gastroenterology 2024; 30(4): 381-417 doi: 10.3748/wjg.v30.i4.381
3
Zhiyuan Chen, Xiaohuan Li, Yu Zhang, Yiming Yang, Yan Zhang, Dongjing Zhou, Yu Yang, Shuping Zhang, Yupin Liu. MRI Features for Predicting Microvascular Invasion and Postoperative Recurrence in Hepatocellular Carcinoma Without Peritumoral HypointensityJournal of Hepatocellular Carcinoma 2023; : 1595 doi: 10.2147/JHC.S422632
4
Jingwei Wei, Hanyu Jiang, Yu Zhou, Jie Tian, Felipe S. Furtado, Onofrio A. Catalano. Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinomaDigestive and Liver Disease 2023; 55(7): 833 doi: 10.1016/j.dld.2022.12.015