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Cited by in CrossRef
For: Zhang C, Zhong H, Zhao F, Ma ZY, Dai ZJ, Pang GD. Preoperatively predicting vessels encapsulating tumor clusters in hepatocellular carcinoma: Machine learning model based on contrast-enhanced computed tomography. World J Gastrointest Oncol 2024; 16(3): 857-874 [PMID: 38577448 DOI: 10.4251/wjgo.v16.i3.857]
URL: https://www.wjgnet.com/1948-5204/full/v16/i3/857.htm
Number Citing Articles
1
Litao Ruan, Jingtong Yu, Xingqi Lu, Kazushi Numata, Dong Zhang, Xi Liu, Xiaojing Li, Mingwei Zhang, Feiqian Wang. A Nomogram Based on Features of Ultrasonography and Contrast-Enhanced CT to Predict Vessels Encapsulating Tumor Clusters Pattern of Hepatocellular CarcinomaUltrasound in Medicine & Biology 2024; 50(12): 1919 doi: 10.1016/j.ultrasmedbio.2024.08.020
2
Yanhua Huang, Hongwei Qian. Advancing Hepatocellular Carcinoma Management Through Peritumoral Radiomics: Enhancing Diagnosis, Treatment, and PrognosisJournal of Hepatocellular Carcinoma 2024; : 2159 doi: 10.2147/JHC.S493227