Journal
EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY
Volume 19, Issue 12, Pages 1059-1063Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MEG.0b013e3282f198c2
Keywords
artificial neural networks; atrophic gastritis; gastric cancer; gastric malignancies; gastroscopy; Helicobacter pylori infection
Categories
Ask authors/readers for more resources
Atrophic gastritis, mainly the consequence of long-standing Helicobacter pylori infection, is linked to the development of gastric cancer. In the case of atrophic gastritis, severity may be mainly related to the lifetime risk of the single patient to develop gastric cancer, mostly in relation to the degree and extension of mucosal damage. As atrophic gastritis is the result of complex multifactorial interactions, the application of artificial neural networks is promising and may be useful for the identification of those patients with atrophic gastritis at higher risk for gastric malignancies. The experience of application of artificial neural networks in atrophic gastritis is still scarce. The available data suggest that these systems may contribute to identify patients with corporal metaplastic atrophic gastritis and to optimize bioptic sampling during gastroscopy.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available