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	<p>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. <i>World J Gastroenterol</i> 2024; 30(36): 4044-4056</p>

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 Executive 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	2024-09-14 04:51

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