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Review
. 2021 Apr 14;27(14):1392-1405.
doi: 10.3748/wjg.v27.i14.1392.

Artificial intelligence-assisted endoscopic detection of esophageal neoplasia in early stage: The next step?

Yong Liu  1
Affiliations
Review

Artificial intelligence-assisted endoscopic detection of esophageal neoplasia in early stage: The next step?

Yong Liu. World J Gastroenterol. .

Abstract

Esophageal cancer (EC) is a common malignant tumor of the digestive tract and originates from the epithelium of the esophageal mucosa. It has been confirmed that early EC lesions can be cured by endoscopic therapy, and the curative effect is equivalent to that of surgical operation. Upper gastrointestinal endoscopy is still the gold standard for EC diagnosis. The accuracy of endoscopic examination results largely depends on the professional level of the examiner. Artificial intelligence (AI) has been applied in the screening of early EC and has shown advantages; notably, it is more accurate than less-experienced endoscopists. This paper reviews the application of AI in the field of endoscopic detection of early EC, including squamous cell carcinoma and adenocarcinoma, and describes the relevant progress. Although up to now most of the studies evaluating the clinical application of AI in early EC endoscopic detection are focused on still images, AI-assisted real-time detection based on live-stream video may be the next step.

Keywords: Artificial intelligence; Diagnosis; Early esophageal cancer; Endoscopy; Trend.

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Conflict of interest statement

Conflict-of-interest statement: The author has nothing to disclose.

References

    1. Thrumurthy SG, Chaudry MA, Thrumurthy SSD, Mughal M. Oesophageal cancer: risks, prevention, and diagnosis. BMJ. 2019;366:l4373. - PubMed
    1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424. - PubMed
    1. Merkow RP, Bilimoria KY, Keswani RN, Chung J, Sherman KL, Knab LM, Posner MC, Bentrem DJ. Treatment trends, risk of lymph node metastasis, and outcomes for localized esophageal cancer. J Natl Cancer Inst. 2014;106 - PubMed
    1. Domper Arnal MJ, Ferrández Arenas Á, Lanas Arbeloa Á. Esophageal cancer: Risk factors, screening and endoscopic treatment in Western and Eastern countries. World J Gastroenterol. 2015;21:7933–7943. - PMC - PubMed
    1. Krauss E, Agaimy A, Douplik A, Albrecht H, Neumann H, Hartmann A, Hohenstein R, Raithel M, Hahn EG, Neurath MF, Mudter J. Normalized autofluorescence imaging diagnostics in upper GI tract: a new method to improve specificity in neoplasia detection. Int J Clin Exp Pathol. 2012;5:956–964. - PMC - PubMed

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