| 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) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Advanced imaging and artificial intelligence for Barrett's esophagus: What we should and soon will do
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Marco Spadaccini, Edoardo Vespa, Viveksandeep Thoguluva Chandrasekar, Madhav Desai, Harsh K Patel, Roberta Maselli, Alessandro Fugazza, Silvia Carrara, Andrea Anderloni, Gianluca Franchellucci, Alessandro De Marco, Cesare Hassan, Pradeep Bhandari, Prateek Sharma and Alessandro Repici |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Marco Spadaccini, MD, Doctor, Doctor, Department of Endoscopy, Humanitas Research Hospital, IRCCS, Via Manzoni 56, Rozzano 20089, Italy. marco.spadaccini@humanitas.it |
| Key Words |
Barrett's esophagus; Endoscopy; Artificial intelligence; Surveillance; Advanced imaging; Neoplasia |
| Core Tip |
Barrett’s esophagus (BE) patients are recommended to have regular endoscopic surveillance, with the ultimate goal of detecting early-stage neoplastic lesions, before they could progress to invasive carcinoma. Over the last two decades advanced imaging techniques, from traditional dye-spray chromoendoscopy to more practical virtual chromoendoscopy technologies, have been introduced with the aim to enhance neoplasia detection in BE. As witnessed in other fields, artificial intelligence (AI) has revolutionized the field of diagnostic endoscopy and is set to cover a pivotal role in BE as well. In this commentary we will summarize recent research advances and provide future perspectives regarding advanced imaging technology and AI in BE. It will be also provided a useful step-by-step approach for performing a high-quality endoscopy in BE, in order to increase the diagnostic yield of endoscopy in clinical practice. |
| Publish Date |
2022-03-17 03:25 |
| Citation |
Spadaccini M, Vespa E, Chandrasekar VT, Desai M, Patel HK, Maselli R, Fugazza A, Carrara S, Anderloni A, Franchellucci G, De Marco A, Hassan C, Bhandari P, Sharma P, Repici A. Advanced imaging and artificial intelligence for Barrett’s esophagus: What we should and soon will do. World J Gastroenterol 2022; 28(11): 1113-1122 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i11/1113.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i11.1113 |
