Krishnan A. Improving radiomics-based models for esophagogastric variceal bleeding risk prediction in cirrhotic patients. World J Gastroenterol 2025; 31(11): 101804 [PMID: 40124265 DOI: 10.3748/wjg.v31.i11.101804]
Corresponding Author of This Article
Arunkumar Krishnan, MD, Assistant Professor, Department of Supportive Oncology, Atrium Health Levine Cancer, 1021 Morehead Medical Drive, Suite 70100, Charlotte, NC 28204, United States. dr.arunkumar.krishnan@gmail.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastroenterol. Mar 21, 2025; 31(11): 101804 Published online Mar 21, 2025. doi: 10.3748/wjg.v31.i11.101804
Improving radiomics-based models for esophagogastric variceal bleeding risk prediction in cirrhotic patients
Arunkumar Krishnan
Arunkumar Krishnan, Department of Supportive Oncology, Atrium Health Levine Cancer, Charlotte, NC 28204, United States
Author contributions: Krishnan A contributed to the concept of the study, drafted the manuscript, performed the review and editing, and critically revised for important intellectual content.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Arunkumar Krishnan, MD, Assistant Professor, Department of Supportive Oncology, Atrium Health Levine Cancer, 1021 Morehead Medical Drive, Suite 70100, Charlotte, NC 28204, United States. dr.arunkumar.krishnan@gmail.com
Received: September 26, 2024 Revised: January 22, 2025 Accepted: February 20, 2025 Published online: March 21, 2025 Processing time: 167 Days and 15.7 Hours
Core Tip
Core Tip: A study by Peng et al developed a combined multi-organ radiomics and clinical model to predict the risk of first-instance secondary esophageal variceal bleeding in cirrhotic patients. The model demonstrated high predictive accuracy, with an area under the curve of 0.951 in the training cohort, highlighting its potential for noninvasive risk stratification. By integrating radiomic features and clinical data, the model offers a more detailed approach to predicting esophageal variceal bleeding, helping clinicians make timely decisions. While the findings are promising, validating the model further using diverse and larger patient cohorts and considering including additional factors to maximize its clinical relevance and applicability is recommended.
