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1/14/2021 12:13:30 PM | Browse: 49 | Download: 55
Publication Name World Journal of Gastroenterology
Manuscript ID 59803
Country/Territory China
Received
2020-10-09 09:31
Peer-Review Started
2020-10-09 09:31
To Make the First Decision
Return for Revision
2020-11-23 06:23
Revised
2020-12-05 09:58
Second Decision
2020-12-22 12:55
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-12-23 05:54
Articles in Press
2020-12-23 05:54
Publication Fee Transferred
Edit the Manuscript by Language Editor
2021-01-11 20:36
Typeset the Manuscript
2021-01-14 01:20
Publish the Manuscript Online
2021-01-14 11:34
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/
Copyright © The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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
Category Gastroenterology and Hepatology
Manuscript Type Observational Study
Article Title Comparative study on artificial intelligence systems for detecting early esophageal squamous cell carcinoma between narrow-band and white-light imaging
Manuscript Source Unsolicited Manuscript
All Author List Bing Li, Shi-Lun Cai, Wei-Min Tan, Ji-Chun Li, Ayimukedisi Yalikong, Xiao-Shuang Feng, Hon-Ho Yu, Pin-Xiang Lu, Zhen Feng, Li-Qing Yao, Ping-Hong Zhou, Bo Yan and Yun-Shi Zhong
Funding Agency and Grant Number
Funding Agency Grant Number
National Key R&D Program of China No. 2018YFC1315000, 2018YFC1315005
National Key R&D Program of China No. 2019YFC1315800, 2019YFC1315802
National Natural Science Foundation of China No. 81861168036, 81702305
Science and Technology Commission Foundation of Shanghai Municipality No. 19411951600, 19411951601
Macao SAR Science and Technology Development Foundation No. 0023/2018/AFJ
Dawn Program of Shanghai Education Commission No. 18SG08
Corresponding Author Yun-Shi Zhong, MD, PhD, Professor, Department of Endoscopy Center, Zhongshan Hospital of Fudan University, No. 180 Fenglin Road, Shanghai 200032, China. zhongyunshi@yahoo.com
Key Words Computer-aided detection; Esophageal squamous cell carcinoma; Endoscopy; Screening; Narrow-band imaging; White-light imaging
Core Tip The computer-assisted diagnosis (CAD) system under conventional endoscopic white-light imaging (WLI) for screening of early esophagus squamous cell carcinoma (ESCC) has high accuracy. However, few studies have examined different characteristics of CAD application in WLI and narrow-band imaging (NBI) models. In this study, the CAD system we constructed under the NBI model for screening of early ESCC have higher accuracy and specificity than the CAD-WLI system. Endoscopists could achieve the best diagnostic efficacy by using both CAD-WLI and CAD-NBI. The two CAD systems have different advantages in avoiding missed diagnosis and excessive biopsy, which could help endoscopists, especially those with less experience, in more efficient screening of early ESCC.
Publish Date 2021-01-14 11:34
Citation Li B, Cai SL, Tan WM, Li JC, Yalikong A, Feng XS, Yu HH, Lu PX, Feng Z, Yao LQ, Zhou PH, Yan B, Zhong YS. Comparative study on artificial intelligence systems for detecting early esophageal squamous cell carcinoma between narrow-band and white-light imaging. World J Gastroenterol 2021; 27(3): 281-293
Url https://www.wjgnet.com/1007-9327/full/v27/i3/281.htm
DOI https://dx.doi.org/10.3748/wjg.v27.i3.281
Full Article (PDF) WJG-27-281.pdf
Full Article (Word) WJG-27-281.docx
Manuscript File 59803-Review-FilipodiaCL.docx
Answering Reviewers 59803-Answering reviewers.pdf
Audio Core Tip 59803-Audio core tip.mp3
Biostatistics Review Certificate 59803-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 59803-Conflict-of-interest statement.pdf
Copyright License Agreement 59803-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 59803-Grant application form(s).pdf
Institutional Review Board Approval Form or Document 59803-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 59803-Language certificate.pdf
Peer-review Report 59803-Peer-review(s).pdf
Scientific Misconduct Check 59803-Bing-Yan JP-1.png
Scientific Misconduct Check 59803-Bing-Fan JR-2.png
Scientific Misconduct Check 59803-Scientific misconduct check.pdf
Scientific Editor Work List 59803-Scientific editor work list.pdf