Editorial
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Oct 21, 2024; 30(39): 4254-4259
Published online Oct 21, 2024. doi: 10.3748/wjg.v30.i39.4254
Current strategies for predicting post-hepatectomy liver failure and a new ultrasound-based nomogram
Xing-Xue Gao, Jun-Feng Li
Xing-Xue Gao, Jun-Feng Li, Department of Infectious Disease, Lanzhou University First Clinical Medical College, Lanzhou 730000, Gansu Province, China
Jun-Feng Li, Department of Infectious Diseases & Infectious Disease Research Laboratory, Lanzhou University First Hospital, Lanzhou 730000, Gansu Province, China
Author contributions: Gao XX and Li JF contributed to this paper; Gao XX wrote and revise the manuscript; Li JF review and revise the manuscript.
Supported by National Natural Science Foundation of China, No. 82360132.
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: Jun-Feng Li, Doctor, MD, PhD, Chief Doctor, Department of Infectious Diseases & Infectious Disease Research Laboratory, No. 1 Donggangxi Road, Lanzhou 730000, Gansu Province, China. junfenglee@126.com
Received: August 5, 2024
Revised: August 31, 2024
Accepted: September 25, 2024
Published online: October 21, 2024
Processing time: 67 Days and 11.6 Hours
Core Tip

Core Tip: Existing strategies for predicting post-hepatectomy liver failure include multiple clinical scoring systems that assess surgical risk by quantifying metrics related to liver function. However, each has limitations such as high subjectivity and insufficient prediction accuracy. Ultrasound-based nomograms are innovative predictive methods that combine radiomic features with clinical risk factors and construct a model through multivariate logistic regression to achieve prediction of post-hepatectomy liver failure. This method is non-invasive, low cost and high precision, and is expected to provide clinicians with a more reliable prediction tool, assisting doctors in formulating optimal surgical and therapeutic plans.