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Cited by in CrossRef
For: Tang YY, Zhao YN, Zhang T, Chen ZY, Ma XL. Comprehensive radiomics nomogram for predicting survival of patients with combined hepatocellular carcinoma and cholangiocarcinoma. World J Gastroenterol 2021; 27(41): 7173-7189 [PMID: 34887636 DOI: 10.3748/wjg.v27.i41.7173]
URL: https://www.wjgnet.com/1007-9327/full/v27/i41/7173.htm
Number Citing Articles
1
Tian-Run Lv, Hai-Jie Hu, Wen-Jie Ma, Fei Liu, Yan-Wen Jin, Fu-Yu Li. Meta-analysis of prognostic factors for overall survival and disease-free survival among resected patients with combined hepatocellular carcinoma and cholangiocarcinomaEuropean Journal of Surgical Oncology 2024; 50(1): 107279 doi: 10.1016/j.ejso.2023.107279
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
Zenglei He, Xiaoyong Shen, Bin Wang, Li Xu, Qi Ling, Shuai Ren. CT radiomics for noninvasively predicting NQO1 expression levels in hepatocellular carcinomaPLOS ONE 2023; 18(9): e0290900 doi: 10.1371/journal.pone.0290900
4
Fangzhao Yin, Xiaoming Yan, Runshi Gao, Zhiwei Ren, Tao Yu, Zhuoling Zhao, Guojun Zhang. Radiomics features from 3D‐MPRAGE imaging can differentiate temporal‐plus epilepsy from temporal lobe epilepsyEpileptic Disorders 2023; 25(5): 681 doi: 10.1002/epd2.20092
5
Tianrui Kuang, Wangbin Ma, Jiacheng Zhang, Jia Yu, Wenhong Deng, Keshuai Dong, Weixing Wang. Construction of a Nomogram to Predict Overall Survival in Patients with Early-Onset Hepatocellular Carcinoma: A Retrospective Cohort StudyCancers 2023; 15(22): 5310 doi: 10.3390/cancers15225310
6
Xiaojuan Guo, Jinxi Wang, Yunxiao Tian, Jianhua Yang, Shiqian Wu, Lihui Xin, Zhe Feng, Guangxu Niu. Epigenetic silencing of miR-125a-3p promotes the progress of human cholangiocarcinoma via increasing CAC1 expressionHeliyon 2024; 10(12): e32528 doi: 10.1016/j.heliyon.2024.e32528
7
Xiaoxia Li, Jinglai Lin, Hongliang Qi, Chenchen Dai, Yi Guo, Dengqiang Lin, Jianjun Zhou. Radiomics predict the WHO/ISUP nuclear grade and survival in clear cell renal cell carcinomaInsights into Imaging 2024; 15(1) doi: 10.1186/s13244-024-01739-z
8
Jia-Wei Xu, Bing-Hua Li, De-Cai Yu. Advances in radiomics applications for intrahepatic cholangiocarcinoma: a comprehensive review and future directionsHepatoma Research 2024;  doi: 10.20517/2394-5079.2024.79
9
Zhenshan Shi, Chengle Ma, Xinming Huang, Dairong Cao. Magnetic Resonance Imaging Radiomics‐Based Nomogram From Primary Tumor for Pretreatment Prediction of Peripancreatic Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma: A Multicenter StudyJournal of Magnetic Resonance Imaging 2022; 55(3): 823 doi: 10.1002/jmri.28048
10
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