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Articles in Press
5/8/2022 7:16:29 AM | Browse: 40 | Download: 37
Publication Name World Journal of Gastroenterology
Manuscript ID 72837
Country/Territory South Korea
Category Gastroenterology and Hepatology
Manuscript Type Retrospective Cohort Study
Article Title Utility of a deep learning model and a clinical model for predicting bleeding after endoscopic submucosal dissection in patients with early gastric cancer
Manuscript Source Unsolicited Manuscript
All Author List Ji Eun Na, Yeong Chan Lee, Tae Jun Kim, Hyuk Lee, Hong-Hee Won, Yang Won Min, Byung-Hoon Min, Jun Haeng Lee, Poong-Lyul Rhee and Jae J. Kim
Funding Agency and Grant Number
Corresponding Author Hyuk Lee, MD, PhD, Doctor, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea. leehyuk@skku.edu., Seoul 135710, South Korea. leehyuk@skku.edu
Key Words Clinical model; Deep learning model; Post-endoscopic submucosal dissection bleeding; Stratification of bleeding risk
Core Tip Bleeding is one of the major complications after endoscopic submucosal dissection (ESD) in early gastric cancer patients and requires hospital-based intervention. We established a deep learning model to stratify the bleeding risk after ESD and demonstrated its performance compared with a clinical model. The deep learning model showed acceptable area under the curve and could stratify the post-ESD bleeding risk as low-, intermediate-, and high-risk categories, which correlated with actual bleeding rate comparatively. A deep learning model would be valuable in assessing the bleeding risk after ESD in early gastric cancer patients.
Citation Na JE, Lee YC, Kim TJ, Lee H, Won HH, Min YW, Min BH, Lee JH, Rhee PL, Kim JJ. Utility of a deep learning model and a clinical model for predicting bleeding after endoscopic submucosal dissection in patients with early gastric cancer. World J Gastroenterol 2022; In press
Received
2021-10-30 10:38
Peer-Review Started
2021-10-30 10:38
To Make the First Decision
Return for Revision
2022-03-11 01:46
Revised
2022-03-25 13:20
Second Decision
2022-05-07 07:56
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-05-08 07:16
Articles in Press
2022-05-08 07:16
Publication Fee Transferred
Edit the Manuscript by Language Editor
2022-04-30 00:38
Typeset the Manuscript
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: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Assistant Editor Assistant Editor
Science Editor Ya-Juan Ma
Reviewer Code 06201645, 05461735, and 03668600
Editorial Director
Journal Chief Editor
Company Chief Editor Lian-Sheng Ma
Language Editor Donna Fox
Production Editor
Responsible Production Editor
Responsible Science Editor
Proofing Editorial Director Jin-Lei Wang
Proofing Editor-in-Chief Lian-Sheng Ma
Manuscript File 72837_Auto_Edited-YJM-FilipodiaCL.docx
Answering Reviewers 72837-Answering reviewers.pdf
Audio Core Tip 72837-Audio core tip.m4a
Biostatistics Review Certificate 72837-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 72837-Conflict-of-interest statement.pdf
Copyright License Agreement 72837-Copyright license agreement.pdf
Signed Informed Consent Form(s) or Document(s) 72837-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 72837-Institutional review board statement.pdf
Supplementary Material 72837-Supplementary material.pdf
Peer-review Report 72837-Peer-review(s).pdf
Scientific Editor Work List 72837-Scientific editor work list.pdf