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10/28/2019 9:39:50 AM | Browse: 99 | Download: 71
Publication Name World Journal of Clinical Cases
Manuscript ID 49456
Country/Territory Japan
2019-06-04 00:52
Peer-Review Started
2019-06-04 05:59
To Make the First Decision
2019-07-24 05:06
Return for Revision
2019-07-31 08:32
2019-08-18 09:16
Second Decision
2019-08-23 11:26
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2019-08-26 23:14
Articles in Press
2019-08-26 23:14
Publication Fee Transferred
Edit the Manuscript by Language Editor
2019-09-07 00:12
Typeset the Manuscript
2019-09-18 08:20
Publish the Manuscript Online
2019-09-24 09:22
ISSN 2307-8960 (online)
Open Access This 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 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/
Copyright © The Author(s) 2019. 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 Medicine, Research and Experimental
Manuscript Type Opinion Review
Article Title Effective use of the Japan Narrow Band Imaging Expert Team classification based on diagnostic performance and confidence level
Manuscript Source Invited Manuscript
All Author List Daizen Hirata, Hiroshi Kashida, Mineo Iwatate, Tomomasa Tochio, Akira Teramoto, Yasushi Sano and Masatoshi Kudo
Funding Agency and Grant Number
Corresponding author Daizen Hirata, MD, Doctor, Gastrointestinal Center and Institute of Minimally-invasive Endoscopic Care,Sano Hospital and Department of Gasterology and Hepatology, Kinki University Faculty of Medicine, 377-2 Ohno-Higashi, Osaka-saayama 589-8551, Japan. daizenhirata@gmail.com
Keywords Japan Narrow Band Imaging Expert Team; Classification; Magnifying endoscopy; Narrow-band imaging; Diagnostic performance; Colonoscopy
Core Tip This is the first review of the Japan Narrow Band Imaging Expert Team classification regarding the diagnostic performance. There are three important differentiations: neoplasia from non-neoplasia, malignant neoplasia from benign neoplasia, and deep submucosal invasive cancer (D-SMC) from other neoplasia. The sensitivity in differentiating neoplasia from non-neoplasia was 98.1%-99.8%. The specificity in differentiating malignant neoplasia from benign neoplasia was 84.7%-98.2% and the specificity in differentiating D-SMC from other neoplasia was 99.8%-100.0%. This classification will enable endoscopists to identify almost all neoplasia, to appropriately determine whether to perform en bloc resection or not, and to avoid unnecessary surgery.
Publish Date 2019-09-24 09:22
Citation Hirata D, Kashida H, Iwatate M, Tochio T, Teramoto A, Sano Y, Kudo M. Effective use of the Japan Narrow Band Imaging Expert Team classification based on diagnostic performance and confidence level. World J Clin Cases 2019; 7(18): 2658-2665
Url https://www.wjgnet.com/2307-8960/full/v7/i18/2658.htm
DOI https://dx.doi.org/10.12998/wjcc.v7.i18.2658
Full Article (PDF) WJCC-7-2658.pdf
Full Article (Word) WJCC-7-2658.docx
Manuscript File FP6976_ce16_CE1_edit3.docx
Answering Reviewers 49456-Answering reviewers.pdf
Audio Core Tip 49456-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 49456-Conflict-of-interest statement.pdf
Copyright License Agreement 49456-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 49456-Language certificate.pdf
Peer-review Report 49456-Peer-review(s).pdf
Scientific Misconduct Check 49456-Scientific misconduct check.pdf
Scientific Editor Work List 49456-Scientific editor work list.pdf