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Cited by in CrossRef
For: Liu P, Tan XZ, Zhang T, Gu QB, Mao XH, Li YC, He YQ. Prediction of microvascular invasion in solitary hepatocellular carcinoma ≤ 5 cm based on computed tomography radiomics. World J Gastroenterol 2021; 27(17): 2015-2024 [PMID: 34007136 DOI: 10.3748/wjg.v27.i17.2015]
URL: https://www.wjgnet.com/1007-9327/full/v27/i17/2015.htm
Number Citing Articles
1
Dong Jiang, Yi Qian, Bi-Bo Tan, Xia-Ling Zhu, Hui Dong, Rong Qian. Preoperative prediction of microvascular invasion in hepatocellular carcinoma using ultrasound features including elasticityWorld Journal of Gastrointestinal Surgery 2023; 15(9): 2042-2051 doi: 10.4240/wjgs.v15.i9.2042
2
Leonardo Gomes da Fonseca, Raphael L C Araujo. Combination approaches in hepatocellular carcinoma: How systemic treatment can benefit candidates to locoregional modalitiesWorld Journal of Gastroenterology 2022; 28(28): 3573-3585 doi: 10.3748/wjg.v28.i28.3573
3
Jian Li, Xin Su, Xiao Xu, Changchun Zhao, Ang Liu, Liwen Yang, Baoling Song, Hao Song, Zihan Li, Xiangyong Hao. Preoperative prediction and risk assessment of microvascular invasion in hepatocellular carcinomaCritical Reviews in Oncology/Hematology 2023; 190: 104107 doi: 10.1016/j.critrevonc.2023.104107
4
Hellen Thatiane Macena Rodrigues Santiago, Giovanna Valadão de Brito, Janaína do Vale Lopes, Ariane Dias dos Santos, Julyanne dos Anjos Silva Furtado, Rhaisa Costa de Melo, Camilla Fernandes Camana, Emanuelle Ramos Monteiro de Alencar, Bruno Sousa de Freitas, Beatriz Alves Pereira, Bárbara de Alencar Nepomuceno, Rebecca Bergamelli Nemitz, Marculina Barros de Carvalho Bolwerk, Elizeu Scarton Miranda, Ana Clara Costa de Brito Matos, Lucas Augusto Figueirêdo César. O USO DA INTELIGÊNCIA ARTIFICIAL NO RASTREIO E DIAGNÓSTICO DE DIFERENTES TIPOS DE CÂNCERRevista Contemporânea 2024; 4(7): e4994 doi: 10.56083/RCV4N7-042
5
Enyu Yuan, Yuntian Chen, Bin Song. Quality of radiomics for predicting microvascular invasion in hepatocellular carcinoma: a systematic reviewEuropean Radiology 2023;  doi: 10.1007/s00330-023-09414-5
6
Artificial Intelligence Used for the Diagnosis, Treatment and Surveillance of Hepatocellular Carcinoma: A Systematic ReviewUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal 2022; 6(10): 1 doi: 10.26685/urncst.371
7
Carolina de la Pinta, María E. Castillo, Manuel Collado, Cristina Galindo-Pumariño, Cristina Peña. Radiogenomics: Hunting Down Liver Metastasis in Colorectal Cancer PatientsCancers 2021; 13(21): 5547 doi: 10.3390/cancers13215547
8
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
9
Junjiu Gou, Jingqi Li, Yingfeng Li, Mingjie Lu, Chen Wang, Yi Zhuo, Xue Dong. The Diagnostic Accuracy Between Radiomics Model and Non-radiomics Model for Preoperative of Microvascular Invasion of Solitary Hepatocellular Carcinoma: A Systematic Review and Meta-analysisAcademic Radiology 2024;  doi: 10.1016/j.acra.2024.04.003
10
Emrullah Birgin, Heiner Nebelung, Schaima Abdelhadi, Johann S. Rink, Matthias F. Froelich, Svetlana Hetjens, Mohammad Rahbari, Patrick Téoule, Erik Rasbach, Christoph Reissfelder, Jürgen Weitz, Stefan O. Schoenberg, Carina Riediger, Verena Plodeck, Nuh N. Rahbari. Development and validation of a digital biopsy model to predict microvascular invasion in hepatocellular carcinomaFrontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1360936
11
Simin Li, Baosen Zhou. A review of radiomics and genomics applications in cancers: the way towards precision medicineRadiation Oncology 2022; 17(1) doi: 10.1186/s13014-022-02192-2
12
Jing Peng, Tao Zhang, Hang Wang, Xuelei Ma. The Value of Contrast‐Enhanced Ultrasound Liver Imaging Reporting and Data System in the Diagnosis of Hepatocellular Carcinoma: A Meta‐AnalysisJournal of Ultrasound in Medicine 2022; 41(6): 1537 doi: 10.1002/jum.15837
13
Jian Zhang, Shenglan Huang, Yongkang Xu, Jianbing Wu. Diagnostic Accuracy of Artificial Intelligence Based on Imaging Data for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Meta-AnalysisFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.763842
14
Yun Zhong, Lingfeng Chen, Fadian Ding, Wenshi Ou, Xiang Zhang, Shangeng Weng. Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional neural networksFrontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1401095
15
Qiang Wang, Changfeng Li, Jiaxing Zhang, Xiaojun Hu, Yingfang Fan, Kuansheng Ma, Ernesto Sparrelid, Torkel B. Brismar. Radiomics Models for Predicting Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Radiomics Quality Score AssessmentCancers 2021; 13(22): 5864 doi: 10.3390/cancers13225864
16
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
17
Ziming He, Di Tang. Perioperative predictors of outcome of hepatectomy for HBV-related hepatocellular carcinomaFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1230164
18
Chun Jiang, Yi-Qi Cai, Jia-Jia Yang, Can-Yu Ma, Jia-Xi Chen, Lan Huang, Ze Xiang, Jian Wu. Radiomics in the diagnosis and treatment of hepatocellular carcinomaHepatobiliary & Pancreatic Diseases International 2023; 22(4): 346 doi: 10.1016/j.hbpd.2023.03.010
19
Zaoqu Liu, Tian Duan, Yuyuan Zhang, Siyuan Weng, Hui Xu, Yuqing Ren, Zhenyu Zhang, Xinwei Han. Radiogenomics: a key component of precision cancer medicineBritish Journal of Cancer 2023; 129(5): 741 doi: 10.1038/s41416-023-02317-8