title: Assessing the severity of atrophic gastritis.
abstract: 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.affiliation: Department of Digestive and Liver Disease, University La Sapienza, Second Medical School, Ospedale Sant'Andrea, Rome, Italy. bruno.annibale@uniroma1.it
authors.forename: Bruno
authors.initials: B
authors.lastname: Annibale
authors.forename: Edith
authors.initials: E
authors.lastname: Lahner
mesh_terms: D003661:Decision Support Techniques; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D018450:Disease Progression; D005757:Gastritis, Atrophic / Q000175:diagnosis*; D006801:Humans; D016571:Neural Networks, Computer; D011230:Precancerous Conditions / Q000175:diagnosis*; D011379:Prognosis; D012307:Risk Factors; D013274:Stomach Neoplasms / Q000175:diagnosis*