Publication Name	World Journal of Gastroenterology
Manuscript ID	15435
Country	United States

Received	2014-11-26 08:24
Peer-Review Started	2014-11-26 09:23
To Make the First Decision	2014-12-11 20:23
Return for Revision	2014-12-16 09:01
Revised	2015-01-04 12:03
Second Decision	2015-01-23 16:56
Accepted by Journal Editor-in-Chief	2015-01-23 23:43
Accepted by Company Editor-in-Chief	2015-01-30 15:31
Articles in Press	2015-01-30 18:29
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2015-02-12 10:18
Publish the Manuscript Online	2015-03-09 15:58

ISSN	1007-9327 (print) and 2219-2840 (online)
Open Access	This article is an open-access article which 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) 2015. Published by Baishideng Publishing Group Inc. All rights reserved.
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Website	http://www.wjgnet.com

Category	Gastroenterology & Hepatology
Manuscript Type	Editorial
Article Title	Quantitative image analysis of celiac disease
Manuscript Source	Invited Manuscript
All Author List	Edward J Ciaccio, Govind Bhagat, Suzanne K Lewis and Peter H Green
Funding Agency and Grant Number
Corresponding Author	Edward J Ciaccio, PhD, Department of Medicine, Celiac Disease Center, Columbia University, Harkness Pavilion 804, 180 Fort Washington Avenue, New York, NY 10032, United States. ciaccio@columbia.edu
Key Words	Celiac disease; Frequency analysis; Motility; Videocapsule; Villous atrophy
Core Tip	Celiac disease is quite common, being present in approximately 1% of the population worldwide. Although it is common, few cases are actually diagnosed because of the lack or screening and diagnostic tools. In this review we discuss currently used quantitative techniques and suggest directions for improved techniques. By using quantitative methods, it is possible to improve outcomes because these methods are automated, unbiased, rapid, and can detect low-level disease that is not evident by visual inspection of endoscopy images. Therefore, it may be possibly to more rapidly diagnose the disease to prevent morbidity by using computerized methods.
Publish Date	2015-03-09 15:58
Citation	Ciaccio EJ, Bhagat G, Lewis SK, Green PH. Quantitative image analysis of celiac disease. World J Gastroenterol 2015; 21(9): 2577-2581
URL	http://www.wjgnet.com/1007-9327/full/v21/i9/2577.htm
DOI	http://dx.doi.org/10.3748/wjg.v21.i9.2577

Full Article (PDF)	WJG-21-2577.pdf
Full Article (Word)	WJG-21-2577.doc
Manuscript File	15435-Review.doc
Answering Reviewers	15435-Answering reviewers.pdf
Copyright License Agreement	15435-Copyright assignment.pdf
Peer-review Report	15435-Peer-review(s).pdf
Journal Editor-in-Chief Review Report	15435-Journal Editor-in-Chief's Review Report.pdf
Scientific Misconduct Check	15435-CorssCheck.jpg
Scientific Editor Work List	15435-Scientific editor work list.pdf