| For: | Deng PZ, Zhao BG, Huang XH, Xu TF, Chen ZJ, Wei QF, Liu XY, Guo YQ, Yuan SG, Liao WJ. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma. World J Gastroenterol 2022; 28(31): 4376-4389 [PMID: 36159012 DOI: 10.3748/wjg.v28.i31.4376] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v28/i31/4376.htm |
| Number | Citing Articles |
| 1 |
Shili Zhou, Pinjing Hui. Predictive value of contrast-enhanced carotid ultrasound features for stroke risk: a systematic review and meta-analysis. Frontiers in Neurology 2025; 16 doi: 10.3389/fneur.2025.1487850
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| 2 |
Minh Huu Nhat Le, Hien Quang Kha, Nghia Minh Tran, Phat Ky Nguyen, Han H. Huynh, Phat Kim Huynh, Han Lam, Nguyen Quoc Khanh Le. Radiomics in liver research: A paradigm shift in disease detection and staging. European Journal of Radiology Artificial Intelligence 2025; 2 doi: 10.1016/j.ejrai.2025.100016
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| 3 |
Yuxian Wu, Jianmin Wu, Shaofeng Duan, Dong Liu, Wanmin Liu, Kairong Song, Juan Zhang, Yayuan Feng, Sisi Zhang, Yiping Liu, Hui Dong, Hao Zhang, Lei Chen, Ningyang Jia. A Refined Prognostic Model for Postoperative Overall Survival in Hepatocellular Carcinoma Based on CODEX-Based Multiproteomics and Radiomics. Journal of Hepatocellular Carcinoma 2025; doi: 10.2147/JHC.S527066
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| 4 |
Liwen Shen, Li Chen, Lifen Chen, Huiping Jiang, Huifeng Gu, Liqun Lu. Neutrophil-to-lymphocyte ratio in females as a predictor of embryo acquisition outcomes after IVF/ICSI treatment: a retrospective study. Frontiers in Endocrinology 2026; 16 doi: 10.3389/fendo.2025.1705636
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| 5 |
Tingxuan Zhang, Youhui Zheng, Chi Zhang, Weidong Li, Zhanjin Wang, Kaihao Du, Zhan Wang. AI research trends in liver cancer bibliometric analysis. Medicine 2026; 105(1) doi: 10.1097/MD.0000000000046891
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| 6 |
Yanic Ammann, Dimitrios Chatziisaak, Stephan Bischofberger, Thomas Steffen. Artificial intelligence in visceral surgery: A comprehensive narrative review and future outlook. Heliyon 2026; 12(13) doi: 10.1016/j.heliyon.2026.e45165
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| 7 |
Azita Shahraki-Mohammadi, Ali Aliabadi, Afsaneh Karimi. Clinical Application of Artificial Intelligence in Cancer Treatment: A Systematic Literature Review. Health Scope 2025; 14(2) doi: 10.5812/healthscope-158492
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| 8 |
Tong Zhang, Jialiang Ren, Hui Wu, Yang Gao, He Hu, Yushan Jia, Wenjia Wang. Multiparametric MRI radiomics predicts overall survival in hepatocellular carcinoma. Acta Radiologica 2025; 66(8) doi: 10.1177/02841851251324572
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| 9 |
Zhujuan Yu, Li Ke, Zhifeng Lin. Bibliometric analysis of application of radiomics and artificial intelligence integration in personalized treatment of hepatocellular carcinoma. International Journal of Surgery 2026; 112(3) doi: 10.1097/JS9.0000000000004177
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| 10 |
Lidi Ma, Congrui Li, Haixia Li, Cheng Zhang, Kan Deng, Weijing Zhang, Chuanmiao Xie. Deep learning model based on contrast-enhanced MRI for predicting post-surgical survival in patients with hepatocellular carcinoma. Heliyon 2024; 10(11) doi: 10.1016/j.heliyon.2024.e31451
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| 11 |
Masatoshi Hori, Yuki Suzuki, Keitaro Sofue, Junya Sato, Daiki Nishigaki, Miyuki Tomiyama, Atsushi Nakamoto, Takamichi Murakami, Noriyuki Tomiyama. Artificial intelligence in imaging diagnosis of liver tumors: current status and future prospects. Abdominal Radiology 2025; 51(1) doi: 10.1007/s00261-025-05059-8
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| 12 |
Bappah Suleiman Yahaya, Noor Diyana Osman, Noor Khairiah A. Karim, Gokula Kumar Appalanaido, Iza Sazanita Isa, Nasibah Mohamad. Proceedings of IUPESM World Congress on Medical Physics and Biomedical Engineering XXVII. IFMBE Proceedings 2026; 139 doi: 10.1007/978-3-032-20287-1_61
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| 13 |
Genxiang Chen, Bo Li, Aijun Liu, Bin Li, Yong Mei, Li Tan, Jing Chen, Zhiyuan Hao. Establishment and validation of a CT-based clinical deep learning radiomics nomogram for predicting the response to transcatheter arterial chemoembolization in patients with hepatocellular carcinoma. Frontiers in Oncology 2026; 16 doi: 10.3389/fonc.2026.1773400
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| 14 |
Zeng Haiyong, Li Wencai, Zhou Yunxiang, Xia Shaohuai, Zeng Kailiang, Xu Ke, Qiu Wenjie, Zhu Gang, Chen Jiansheng, Deng Yifan, Qin Zhongzong, Li Huanpeng, Luo Honghai. Construction of a Nomogram Prediction Model for Prognosis in Patients with Large Artery Occlusion-Acute Ischemic Stroke. World Neurosurgery 2023; 172 doi: 10.1016/j.wneu.2022.11.117
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| 15 |
Liuji Sheng, Chongtu Yang, Yidi Chen, Bin Song. Machine Learning Combined with Radiomics Facilitating the Personal Treatment of Malignant Liver Tumors. Biomedicines 2023; 12(1) doi: 10.3390/biomedicines12010058
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| 16 |
Peng Zhang, Yue Shi, Maoting Zhou, Qi Mao, Yunyun Tao, Lin Yang, Xiaoming Zhang. A CECT-Based Radiomics Nomogram Predicts the Overall Survival of Patients with Hepatocellular Carcinoma After Surgical Resection. Biomedicines 2025; 13(5) doi: 10.3390/biomedicines13051237
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| 17 |
Bappah Suleiman Yahaya, Noor Diyana Osman, Noor Khairiah A. Karim, Gokula Kumar Appalanaido, Iza Sazanita Isa. Radiomics and deep learning characterisation of liver malignancies in CT images – A systematic review. Computers in Biology and Medicine 2025; 194 doi: 10.1016/j.compbiomed.2025.110491
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| 18 |
Yongfei Zheng, Xu Chen, He Zhang, Xiaoxiang Ning, Yichuan Mao, Hailan Zheng, Guojiao Dai, Binghui Liu, Guohua Zhang, Danjiang Huang. Multiparametric MRI-based radiomics nomogram for the preoperative prediction of lymph node metastasis in rectal cancer: A two-center study. European Journal of Radiology 2024; 178 doi: 10.1016/j.ejrad.2024.111591
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| 19 |
Defne Cigdem Koc, Ion Bogdan Mănescu, Măriuca Mănescu, Minodora Dobreanu. A Review of the Prognostic Significance of Neutrophil-to-Lymphocyte Ratio in Nonhematologic Malignancies. Diagnostics 2024; 14(18) doi: 10.3390/diagnostics14182057
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| 20 |
Rajalaxmi R R, Gothai E, Saraa R, Nikitha S. Feature Selection Using Binary Grey Wolf Optimization for Survival Prediction of Hepatocellular Carcinoma. 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS) 2024; doi: 10.1109/ICICNIS64247.2024.10823297
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| 21 |
Yen-Wei Chu, Chi-Chang Chang. Editorial: Using physical & genomics markers for smart therapy via expert systems with computer learning. Frontiers in Genetics 2023; 14 doi: 10.3389/fgene.2023.1336399
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| 22 |
Ting Dai, Qian-Biao Gu, Ying-Jie Peng, Chuan-Lin Yu, Peng Liu, Ya-Qiong He. Preoperative Noninvasive Prediction of Recurrence-Free Survival in Hepatocellular Carcinoma Using CT-Based Radiomics Model. Journal of Hepatocellular Carcinoma 2024; doi: 10.2147/JHC.S493044
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