Publication Name	World Journal of Gastroenterology
Manuscript ID	100032
Country	China

Received	2024-08-05 16:10
Peer-Review Started	2024-08-05 16:10
To Make the First Decision
Return for Revision	2024-08-17 02:35
Revised	2024-08-31 02:15
Second Decision	2024-09-25 02:36
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-09-25 05:59
Articles in Press	2024-09-25 05:59
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-09-27 05:05
Publish the Manuscript Online	2024-10-12 03:43

ISSN	1007-9327 (print) and 2219-2840 (online)
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: http://creativecommons.org/Licenses/by-nc/4.0/
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Category	Management
Manuscript Type	Editorial
Article Title	Current strategies for predicting post-hepatectomy liver failure and a new ultrasound-based nomogram
Manuscript Source	Invited Manuscript
All Author List	Xing-Xue Gao and Jun-Feng Li
ORCID	Author(s) ORCID Number Xing-Xue Gao http://orcid.org/0000-0002-1364-5209 Jun-Feng Li http://orcid.org/0000-0002-5638-706X
Funding Agency and Grant Number	Funding Agency Grant Number National Natural Science Foundation of China 82360132
Corresponding Author	Jun-Feng Li, MD, PhD, Chief Doctor, Department of Infectious Diseases, Lanzhou University First Hospital, No. 1 Donggangxi Road, Lanzhou 730000, Gansu Province, China. junfenglee@126.com
Key Words	Ultrasound; Liver stiffness; Spleen area; Hepatocellular carcinoma; Post-hepatectomy liver failure
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.
Publish Date	2024-10-12 03:43
Citation	<p>Gao XX, Li JF. Current strategies for predicting post-hepatectomy liver failure and a new ultrasound-based nomogram. <i>World J Gastroenterol</i> 2024; 30(39): 4254-4259</p>
URL	https://www.wjgnet.com/1007-9327/full/v30/i39/4254.htm
DOI	https://dx.doi.org/10.3748/wjg.v30.i39.4254

Full Article (PDF)	WJG-30-4254-with-cover.pdf
Manuscript File	100032_Auto_Edited_092103.docx
Answering Reviewers	100032-answering-reviewers.pdf
Audio Core Tip	100032-audio.m4a
Conflict-of-Interest Disclosure Form	100032-conflict-of-interest-statement.pdf
Copyright License Agreement	100032-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	100032-foundation-statement.pdf
Non-Native Speakers of English Editing Certificate	100032-non-native-speakers.pdf
Peer-review Report	100032-peer-reviews.pdf
Scientific Misconduct Check	100032-scientific-misconduct-check.png
Scientific Editor Work List	100032-scientific-editor-work-list.pdf
CrossCheck Report	100032-crosscheck-report.pdf