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For: Luo R, Gao J, Gan W, Xie WB. Clinical-radiomics nomogram for predicting esophagogastric variceal bleeding risk noninvasively in patients with cirrhosis. World J Gastroenterol 2023; 29(6): 1076-1089 [PMID: 36844133 DOI: 10.3748/wjg.v29.i6.1076]
URL: https://www.wjgnet.com/1007-9327/full/v29/i6/1076.htm
Number Citing Articles
1
Leian Chen, Xiao Zhou, Yanan Qiao, Yu Wang, Zhi Zhou, Shuhong Jia, Yu Sun, Dantao Peng. The impact of Alzheimer's disease on cortical complexity and its underlying biological mechanismsBrain Research Bulletin 2025; 225: 111320 doi: 10.1016/j.brainresbull.2025.111320
2
Jiewen Chen, Fei Zhang, Shuitian Wu, Disi Liu, Liyang Yang, Meng Li, Ming Yin, Kun Ma, Ge Wen, Weikang Huang. Predictive value of high-risk esophageal varices in cirrhosis based on dual-energy CT combined with clinical and serologic featuresBMC Medical Imaging 2025; 25(1) doi: 10.1186/s12880-025-01681-6
3
Ze-Dong Wang, Hui-Jie Nan, Su-Xin Li, Lu-Hao Li, Zhao-Chen Liu, Hua-Hu Guo, Lin Li, Sheng-Yan Liu, Hai Li, Yan-Liang Bai, Xiao-Wei Dang. Development and validation of a radiomics-based prediction model for variceal bleeding in patients with Budd-Chiari syndrome-related gastroesophageal varicesWorld Journal of Gastroenterology 2025; 31(19): 104563 doi: 10.3748/wjg.v31.i19.104563
4
Yu-Jie Peng, Xin Liu, Ying Liu, Xue Tang, Qi-Peng Zhao, Yong Du. Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosisWorld Journal of Gastroenterology 2024; 30(36): 4044-4056 doi: 10.3748/wjg.v30.i36.4044
5
Jih-An Cheng, Yu-Chun Lin, Yenpo Lin, Ren-Chin Wu, Hsin-Ying Lu, Lan-Yan Yang, Hsin-Ju Chiang, Yu-Hsiang Juan, Ying-Chieh Lai, Gigin Lin. Machine Learning Radiomics Signature for Differentiating Lymphoma versus Benign Splenomegaly on CTDiagnostics 2023; 13(24): 3632 doi: 10.3390/diagnostics13243632
6
Guang-Yan Xu, Ya-Hong Gong, Yi Wang, Xian-Lin Han, Chang Hao, Li Xu. Splenic artery aneurysm with double-rupture phenomenon and circulatory collapse following anesthesia induction: A case reportWorld Journal of Clinical Oncology 2025; 16(4): 100957 doi: 10.5306/wjco.v16.i4.100957
7
Zhi-Cheng Fu, Xiao-Feng Lu. Establishment of thromboelastography-guided optimal blood transfusion strategy in patients with esophagogastric variceal bleeding due to liver cirrhosisWorld Chinese Journal of Digestology 2025; 33(10): 797 doi: 10.11569/wcjd.v33.i10.797
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8
Camila Guinazu, Adolfo Fernández Muñoz, Maria D Maldonado, Jeffry A De La Cruz, Domenica Herrera, Victor S Aruana, Ernesto Calderon Martinez. Assessing the Predictive Factors for Bleeding in Esophageal Variceal Disease: A Systematic ReviewCureus 2023;  doi: 10.7759/cureus.48954
9
Jing Xu, Lin Tan, Ning Jiang, Fengcheng Li, Jinling Wang, Beibei Wang, Shasha Li. Assessment of nomogram model for the prediction of esophageal variceal hemorrhage in hepatitis B-induced hepatic cirrhosisEuropean Journal of Gastroenterology & Hepatology 2024; 36(6): 758 doi: 10.1097/MEG.0000000000002750
10
Jieyu Peng, Xinyi Zeng, Shu Huang, Han Zhang, Huifang Xia, Kang Zou, Wei Zhang, Xiaomin Shi, Lei Shi, Xiaolin Zhong, Muhan Lü, Yan Peng, Xiaowei Tang. Trends of hospitalisation among new admission inpatients with oesophagogastric variceal bleeding in cirrhosis from 2014 to 2019 in the Affiliated Hospital of Southwest Medical University: a single-centre time-series analysisBMJ Open 2024; 14(2): e074608 doi: 10.1136/bmjopen-2023-074608
11
Lun-Xi Liang, Xiao Liang, Ya Zeng, Fen Wang, Xue-Ke Yu. Establishment and validation of a nomogram for predicting esophagogastric variceal bleeding in patients with liver cirrhosisWorld Journal of Gastroenterology 2025; 31(9): 102714 doi: 10.3748/wjg.v31.i9.102714
12
Gianluca Rompianesi, Francesca Pegoraro, Bianca Pacilio, Giusy Petti, Gianluca Benassai, Micaela Cappuccio, Roberto Montalti, Roberto Troisi. Role of artificial intelligence in the detection, assessment and outcome of gastroesophageal varicesArtificial Intelligence Surgery 2025; 5(3): 434 doi: 10.20517/ais.2025.09
13
Yi-hui Qiu, Fan-feng Chen, Yin-he Zhang, Zhe Yang, Guan-xia Zhu, Bi-cheng Chen, Shou-liang Miao. A predictive clinical-radiomics nomogram for early diagnosis of mesenteric arterial embolism based on non-contrast CT and biomarkersAbdominal Radiology 2025; 50(8): 3856 doi: 10.1007/s00261-024-04745-3
14
Salvatore Claudio Fanni, Maria Febi, Roberto Francischello, Francesca Pia Caputo, Ilaria Ambrosini, Giacomo Sica, Lorenzo Faggioni, Salvatore Masala, Michele Tonerini, Mariano Scaglione, Dania Cioni, Emanuele Neri. Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality AssessmentDiagnostics 2023; 13(16): 2623 doi: 10.3390/diagnostics13162623
15
Cheng Yan, Min Li, Changchun Liu, Zhe Zhang, Jingwen Zhang, Mingzi Gao, Jing Han, Mingxin Zhang, Liqin Zhao. Development of a non-invasive diagnostic model for high-risk esophageal varices based on radiomics of spleen CTAbdominal Radiology 2024; 49(12): 4373 doi: 10.1007/s00261-024-04509-z
16
Tong Lu, Yu Fang, Haonan Liu, Chong Chen, Taotao Li, Miao Lu, Daqing Song. Comparison of Machine Learning and Logic Regression Algorithms for Predicting Lymph Node Metastasis in Patients with Gastric Cancer: A two-Center StudyTechnology in Cancer Research & Treatment 2024; 23 doi: 10.1177/15330338231222331
17
Haichen Zhao, Xiaoya Zhang, Baoxiang Huang, Xiaojuan Shi, Longyang Xiao, Zhiming Li. Application of machine learning methods for predicting esophageal variceal bleeding in patients with cirrhosisEuropean Radiology 2024; 35(3): 1440 doi: 10.1007/s00330-024-11311-4
18
Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024Lecture Notes in Computer Science 2024; 15005: 349 doi: 10.1007/978-3-031-72086-4_33
19
Yuchuan Bai, Zhihong Wang, Chen Shi, Lihong Chen, Xuecan Mei, Derun Kong. Diagnosis and Treatment Options for Cirrhosis With Unexplained Upper Gastrointestinal Bleeding: An Observational Study Based on Endoscopic UltrasonographySurgical Laparoscopy, Endoscopy & Percutaneous Techniques 2025; 35(2) doi: 10.1097/SLE.0000000000001355
20
Tong Lu, Miao Lu, Dong Wu, Yuan-Yuan Ding, Hao-Nan Liu, Tao-Tao Li, Da-Qing Song. Predictive value of machine learning models for lymph node metastasis in gastric cancer: A two-center studyWorld Journal of Gastrointestinal Surgery 2024; 16(1): 85-94 doi: 10.4240/wjgs.v16.i1.85
21
Jing Han, Jinghui Dong, Cheng Yan, Jingwen Zhang, Yingxuan Wang, Mingzi Gao, Mingxin Zhang, Yujie Chen, Jianming Cai, Liqin Zhao. Development of a clinical-CT-radiomics nomogram for predicting endoscopic red color sign in cirrhotic patients with esophageal varicesAbdominal Radiology 2025;  doi: 10.1007/s00261-025-05212-3
22
Xiaoming Zhang, Chunli Li, Jiacheng Hao, Yuan Gao, Danyang Tu, Jianyi Qiao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yang Hou, Yu Shi. Non-contrast CT esophageal varices grading through clinical prior-enhanced multi-organ analysisMedical Image Analysis 2026; 109: 103924 doi: 10.1016/j.media.2025.103924
23
Sahib Singh, Saurabh Chandan, Rakesh Vinayek, Ganesh Aswath, Antonio Facciorusso, Marcello Maida. Comprehensive approach to esophageal variceal bleeding: From prevention to treatmentWorld Journal of Gastroenterology 2024; 30(43): 4602-4608 doi: 10.3748/wjg.v30.i43.4602
24
Zhichun Li, Qian He, Xiao Yang, Tingting Zhu, Xinghui Li, Yan Lei, Wei Tang, Song Peng. A clinical-radiomics nomogram for the prediction of the risk of upper gastrointestinal bleeding in patients with decompensated cirrhosisFrontiers in Medicine 2024; 11 doi: 10.3389/fmed.2024.1308435
25
Bekele Taye, Yihealem Yabebal Ayele, Dessalegne Nigatu Achenef, Gedefaw Abeje, Agerye Kassa Yirdaw. Burden and determinants of upper gastrointestinal bleeding in cirrhotic patients: evidence from Sub-Saharan Africa, 2024BMC Gastroenterology 2025; 25(1) doi: 10.1186/s12876-025-04298-9