Early gastric cancer and Artificial Intelligence: Is it time for population screening?

Gastric cancer is a common cause of death worldwide and its early detection is crucial to improve its prognosis. Its incidence varies throughout countries, and screening has been found to be cost-effective at least in high-incidence regions. Identification of individuals harbouring preneoplastic les...

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Bibliographic Details
Published inBaillière's best practice & research. Clinical gastroenterology Vol. 52-53; p. 101710
Main Authors Arribas Anta, Julia, Dinis-Ribeiro, Mario
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.06.2021
Elsevier Limited
Subjects
Accuracy
Artificial intelligence
Clinical medicine
Cost analysis
Diagnosis
Endoscopy
Gastric cancer
Medical diagnosis
Medical screening
Meta-analysis
Mortality
Patient satisfaction
Screening
Surveillance
Screening
Diagnosis
Artificial intelligence
Gastric cancer
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Summary:Gastric cancer is a common cause of death worldwide and its early detection is crucial to improve its prognosis. Its incidence varies throughout countries, and screening has been found to be cost-effective at least in high-incidence regions. Identification of individuals harbouring preneoplastic lesions and their surveillance or of those with early gastric cancer are extremely important processes and endoscopy play a key role for this purpose. Unfortunately, also quality and accuracy for endoscopic detection varies among centres and endoscopists. Recent studies about Artificial Intelligence applied to endoscopic imaging show that these technologies perform very well and could be extremely useful for endoscopists to achieve the accuracy needed for gastric cancer screening. Nonetheless, as its introduction in this field is very recent, most studies are carried out offline and its results in clinical practice need to be further validated namely by incorporating all the components/dimensions of endoscopy from pre to post-assessment.
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ISSN:1521-6918
1532-1916
DOI:10.1016/j.bpg.2020.101710