| 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. |
| 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 |
Enhanced endoscopic ultrasound imaging for pancreatic lesions: The road to artificial intelligence
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Marco Spadaccini, Glenn Koleth, James Emmanuel, Kareem Khalaf, Antonio Facciorusso, Fabio Grizzi, Cesare Hassan, Matteo Colombo, Benedetto Mangiavillano, Alessandro Fugazza, Andrea Anderloni, Silvia Carrara and Alessandro Repici |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Marco Spadaccini, MD, Manager, Senior Researcher, Digestive Endoscopy Unit, Division of Gastroenterology, Humanitas Research Hospital and University, Via Manzoni 56, Milan 20800, Italy. marco.spadaccini@humanitas.it |
| Key Words |
Pancreatic ductal adenocarcinoma; Pancreatic cancer; Endoscopic ultrasound; Contrast-enhanced endoscopic ultrasound; Endoscopic ultrasound contrast agents; Endoscopic ultrasound elastography; Artificial intelligence; Fractal analysis; Endoscopy; Imaging |
| Core Tip |
Several reviews have evaluated the use of contrast-enhanced endoscopic ultrasound (CE-EUS), EUS-elastography (EUS-E), and Artificial Intelligence in separation. Not many have reviewed all three modalities' strengths in a single article. This article elaborates on current methods and outcomes of CE-EUS and EUS-E while reviewing the impact of Artifice Intelligence on the field of EUS imaging. |
| Publish Date |
2022-08-03 07:54 |
| Citation |
Spadaccini M, Koleth G, Emmanuel J, Khalaf K, Facciorusso A, Grizzi F, Hassan C, Colombo M, Mangiavillano B, Fugazza A, Anderloni A, Carrara S, Repici A. Enhanced endoscopic ultrasound imaging for pancreatic lesions: The road to artificial intelligence. World J Gastroenterol 2022; 28(29): 3814-3824 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i29/3814.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i29.3814 |
