Publication Name	World Journal of Gastroenterology
Manuscript ID	98645
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis
Manuscript Source	Unsolicited Manuscript
All Author List	Yu-Jie Peng, Xin Liu, Ying Liu, Xue Tang, Qi-Peng Zhao and Yong Du
Funding Agency and Grant Number
Corresponding Author	Yong Du, MD, Professor, Department of Radiology, The Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuannan Road, Nanchong 637000, Sichuan Province, China. duyong@nsmc.edu.cn
Key Words	Artificial intelligence; Cirrhosis; Radiomics; Esophagogastric variceal bleeding
Core Tip	Based on enhanced computed tomography images of patients with cirrhosis and independent clinical risk factors, we developed a new multi-organ combined radiomic model to predict the risk of esophageal variceal bleeding (EVB) in cirrhotic patients, and analyzed its reproducibility and clinical applicability. This new multi-organ combined prediction model can effectively predict the risk of secondary EVB in cirrhosis and provide some support for patient individualized treatment.
Citation	Peng YJ, Liu X, Liu Y, Tang X, Zhao QP, Du Y. Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis. World J Gastroenterol 2024; In press

Received	2024-07-02 11:35
Peer-Review Started	2024-07-02 11:35
To Make the First Decision
Return for Revision	2024-08-21 23:10
Revised	2024-08-28 16:32
Second Decision	2024-09-03 02:43
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2024-09-03 07:43
Articles in Press	2024-09-03 07:43
Publication Fee Transferred	2024-09-06 01:49
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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