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DOI: 10.1055/a-1373-4799
AI everywhere in endoscopy, not only for detection and characterization
Time is life! While saving many patients from cancer-related mortality, gastrointestinal endoscopy still pays an unacceptable price in terms of missed diagnosis and post-endoscopy cancer [1] [2] [3] [4]. Isn’t it true that nearly 80 % of early Barrett’s-related neoplasia are missed by community endoscopists [5]? Similar estimates are likely for early gastric cancer missed in non-expert centers. Time is also money! How much are we wasting in the duplication between endoscopic prediction and post-endoscopic confirmation? Suboptimal competence in differentiating between adenomatous and hyperplastic polyps or predicting precancerous gastric lesions leads to burdensome costs for pathology.
Publikationsverlauf
Artikel online veröffentlicht:
14. April 2021
© 2021. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Zhao S, Wang S, Pan P. et al. Magnitude, risk factors, and factors associated with adenoma miss rate of tandem colonoscopy: a systematic review and meta-analysis. Gastroenterology 2019; 156: 1661-1674.e11
- 2 Hernanz N, Rodríguez de Santiago E, Marcos PrietoHM. et al. Characteristics and consequences of missed gastric cancer: A multicentric cohort study. Dig Liver Dis 2019; 51: 894-900
- 3 Pimenta-Melo AR, Monteiro-Soares M, Libânio D. et al. Missing rate for gastric cancer during upper gastrointestinal endoscopy: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol 2016; 28: 1041-1049
- 4 Rodríguez de Santiago E, Hernanz N, Marcos-Prieto HM. et al. Rate of missed oesophageal cancer at routine endoscopy and survival outcomes: A multicentric cohort study. United Eur Gastroenterol J 2019; 7: 189-198
- 5 Bergman JJGHM, de Groof AJ, Pech O. et al. An interactive web-based educational tool improves detection and delineation of Barrett’s esophagus-related neoplasia. Gastroenterology 2019; 156: 1299-1308.e3
- 6 Hassan C, Spadaccini M, Iannone A. et al. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointest Endosc 2020; DOI: 10.1016/j.gie.2020.06.059.
- 7 Mori Y, Kudo S-E, East JE. et al. Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video). Gastrointest Endosc 2020; 92: 905-911.e1
- 8 Mori Y, Kudo S-E, Misawa M. et al. Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy: a prospective study. Ann Intern Med 2018; 169: 357-366
- 9 Hassan C, Bhandari P, Antonelli G. et al. Artificial intelligence for non-polypoid colorectal neoplasms. Dig Endosc 2020; DOI: 10.1111/den.13807.