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] |
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URL: | https://www.wjgnet.com/1007-9327/full/v28/i31/4399.htm |
Number | Citing Articles |
1 |
Jovana Panic, Arianna Defeudis, Gabriella Balestra, Valentina Giannini, Samanta Rosati. Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-Analyses. IEEE Open Journal of Engineering in Medicine and Biology 2023; 4: 67 doi: 10.1109/OJEMB.2023.3271455
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2 |
Ao Meng, Yinping Zhuang, Qian Huang, Li Tang, Jing Yang, Ping Gong. Development and validation of a cross-modality tensor fusion model using multi-modality MRI radiomics features and clinical radiological characteristics for the prediction of microvascular invasion in hepatocellular carcinoma. European Journal of Surgical Oncology 2025; 51(1): 109364 doi: 10.1016/j.ejso.2024.109364
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3 |
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 Nomogram. Journal of Gastrointestinal Cancer 2024; 55(3): 1069 doi: 10.1007/s12029-024-01051-5
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4 |
Tianying Zheng, Yajing Zhu, Hanyu Jiang, Chongtu Yang, Yuxiang Ye, Mustafa R. Bashir, Chenhui Li, Liling Long, Shishi Luo, Bin Song, Yinan Chen, Yidi Chen. MRI‐Based Topology Deep Learning Model for Noninvasive Prediction of Microvascular Invasion and Assisting Prognostic Stratification in HCC. Liver International 2025; 45(3) doi: 10.1111/liv.16205
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5 |
Chunxiao Sui, Kun Chen, Enci Ding, Rui Tan, Yue Li, Jie Shen, Wengui Xu, Xiaofeng Li. 18F-FDG PET/CT-based intratumoral and peritumoral radiomics combining ensemble learning for prognosis prediction in hepatocellular carcinoma: a multi-center study. BMC Cancer 2025; 25(1) doi: 10.1186/s12885-025-13649-4
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6 |
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 carcinoma. Computers in Biology and Medicine 2024; 173: 108337 doi: 10.1016/j.compbiomed.2024.108337
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7 |
Mihai Pomohaci, Mugur Grasu, Radu Dumitru, Mihai Toma, Ioana Lupescu. Liver Transplant in Patients with Hepatocarcinoma: Imaging Guidelines and Future Perspectives Using Artificial Intelligence. Diagnostics 2023; 13(9): 1663 doi: 10.3390/diagnostics13091663
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8 |
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 cancer. BMC Medical Imaging 2024; 24(1) doi: 10.1186/s12880-024-01318-0
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9 |
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 study. Cancer Medicine 2023; 12(20): 20482 doi: 10.1002/cam4.6540
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10 |
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 Score. World Journal of Gastroenterology 2024; 30(4): 381-417 doi: 10.3748/wjg.v30.i4.381
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Zhe Huang, Xiao-jing Lin, Shan-shan Li, Hong-Chang Luo, Kai-Yan Li. Differentiating atypical hepatocellular carcinoma from focal nodular Hyperplasia: The value of Kupffer phase imaging with Sonazoid-Contrast-Enhanced ultrasound compared to Gadodiamide-Enhanced MRI. European Journal of Radiology 2025; 184: 111991 doi: 10.1016/j.ejrad.2025.111991
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