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: 100016 doi: 10.1016/j.ejrai.2025.100016
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3 |
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: e39 doi: 10.1016/j.wneu.2022.11.117
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4 |
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): 58 doi: 10.3390/biomedicines12010058
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5 |
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): 1237 doi: 10.3390/biomedicines13051237
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6 |
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: 111591 doi: 10.1016/j.ejrad.2024.111591
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7 |
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): 2057 doi: 10.3390/diagnostics14182057
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8 |
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; : 1601 doi: 10.1109/ICICNIS64247.2024.10823297
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9 |
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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10 |
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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11 |
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): e31451 doi: 10.1016/j.heliyon.2024.e31451
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12 |
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; : 2211 doi: 10.2147/JHC.S493044
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