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Cited by in CrossRef
For: Chen YD, Zhang L, Zhou ZP, Lin B, Jiang ZJ, Tang C, Dang YW, Xia YW, Song B, Long LL. Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma. World J Gastroenterol 2022; 28(31): 4399-4416 [PMID: 36159011 DOI: 10.3748/wjg.v28.i31.4399]
URL: https://www.wjgnet.com/1007-9327/full/v28/i31/4399.htm
Number Citing Articles
1
Mihai Pomohaci, Mugur Grasu, Radu Dumitru, Mihai Toma, Ioana Lupescu. Liver Transplant in Patients with Hepatocarcinoma: Imaging Guidelines and Future Perspectives Using Artificial IntelligenceDiagnostics 2023; 13(9): 1663 doi: 10.3390/diagnostics13091663
2
Shuo Li, Zhichang Fan, Junting Guo, Ding Li, Zeke Chen, Xiaoyue Zhang, Yongfang Wang, Yan Li, Guoqiang Yang, Xiaochun Wang. Compressed sensing 3D T2WI radiomics model: improving diagnostic performance in muscle invasion of bladder cancerBMC Medical Imaging 2024; 24(1) doi: 10.1186/s12880-024-01318-0
3
Jovana Panic, Arianna Defeudis, Gabriella Balestra, Valentina Giannini, Samanta Rosati. Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-AnalysesIEEE Open Journal of Engineering in Medicine and Biology 2023; 4: 67 doi: 10.1109/OJEMB.2023.3271455
4
Jin‐Qi Sun, Shi‐Nan Wu, Zheng‐Lin Mou, Jia‐Yi Wen, Hong Wei, Jie Zou, Qing‐Jian Li, Zhao‐Lin Liu, San Hua Xu, Min Kang, Qian Ling, Hui Huang, Xu Chen, Yi‐Xin Wang, Xu‐Lin Liao, Gang Tan, Yi Shao. Prediction model of ocular metastasis from primary liver cancer: Machine learning‐based development and interpretation studyCancer Medicine 2023; 12(20): 20482 doi: 10.1002/cam4.6540
5
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
6
Zhe Huang, Rong-Hua Zhu, Shan-shan Li, Hong-Chang Luo, Kai-Yan Li. Comparison of Sonazoid-Contrast‑Enhanced Ultrasound and Gd‑EOB‑DTPA‑Enhanced MRI for Predicting Microvascular Invasion in Hepatocellular CarcinomaUltrasound in Medicine & Biology 2024;  doi: 10.1016/j.ultrasmedbio.2024.05.008
7
Sylvain Bodard, Yan Liu, Sylvain Guinebert, Yousra Kherabi, Tarik Asselah. Performance of Radiomics in Microvascular Invasion Risk Stratification and Prognostic Assessment in Hepatocellular Carcinoma: A Meta-AnalysisCancers 2023; 15(3): 743 doi: 10.3390/cancers15030743
8
Ming-ge Li, Shu-bin Luo, Ying-ying Hu, Lei Li, Hai-lian Lyu. Role of the Clinical Features and MRI Parameters on Ki-67 Expression in Hepatocellular Carcinoma Patients: Development of a Predictive NomogramJournal of Gastrointestinal Cancer 2024;  doi: 10.1007/s12029-024-01051-5
9
Zhiyuan Bo, Jiatao Song, Qikuan He, Bo Chen, Ziyan Chen, Xiaozai Xie, Danyang Shu, Kaiyu Chen, Yi Wang, Gang Chen. Application of artificial intelligence radiomics in the diagnosis, treatment, and prognosis of hepatocellular carcinomaComputers in Biology and Medicine 2024; 173: 108337 doi: 10.1016/j.compbiomed.2024.108337