Annibale Bruno, Lahner Edith
Department of Digestive and Liver Disease, University La Sapienza, Second Medical School, Ospedale Sant'Andrea, Rome, Italy.
Eur J Gastroenterol Hepatol. 2007 Dec;19(12):1059-63. doi: 10.1097/MEG.0b013e3282f198c2.
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.
萎缩性胃炎主要是长期感染幽门螺杆菌的结果,与胃癌的发生有关。对于萎缩性胃炎,其严重程度可能主要与个体患者患胃癌的终生风险相关,这大多与黏膜损伤的程度和范围有关。由于萎缩性胃炎是复杂多因素相互作用的结果,人工神经网络的应用前景广阔,可能有助于识别那些患胃恶性肿瘤风险较高的萎缩性胃炎患者。人工神经网络在萎缩性胃炎中的应用经验仍然很少。现有数据表明,这些系统可能有助于识别患有体部化生萎缩性胃炎的患者,并在胃镜检查期间优化活检采样。