Endoscopic Features of Autoimmune Gastritis: Focus on Typical Images and Early Images.
Maiko KishinoKouichi NonakaPublished in: Journal of clinical medicine (2022)
Autoimmune gastritis (AIG) is chronic atrophic gastritis caused by an autoimmune mechanism of unknown etiology and presents with various pathological conditions by causing an achlorhydria state through parietal cell damage. The most characteristic endoscopic finding in AIG is advanced corpus-dominant mucosal atrophy. A recent study that examined several cases in Japan revealed the presence of endoscopic features other than corpus-dominant advanced atrophy. Remnants of oxyntic mucosa and sticky adherent dense mucus were found in ≥30% of cases, and hyperplastic polyps were found in ≥20% of cases. In image-enhanced endoscopy (IEE), white globe appearance (WGA) was observed in 32% of AIG cases. Additionally, some reports have stated that the findings in AIG cases using IEE showed cast-off skin appearance (CSA) and foveola type mucosa; however, a consensus is yet to be achieved. These endoscopic results were found in cases of advanced-stage AIG. There have been few reports concerning early-stage AIG cases. In these few reports, all of the cases were pathologically diagnosed as early AIG. In all of the cases, the pathological findings almost always showed neither parietal cell destruction nor atrophy. Endoscopic findings such as "mosaic pattern with slight swelling of the areae gastricae", "diffuse reddened and edematous gastric fundic gland mucosa", and "pseudopolyp-like nodules" may be common characteristics of early images. In such early cases, high antibody titers, no atrophic changes, and few clinical abnormal findings were shown. Endoscopists are expected to update their knowledge regarding AIG diagnosis with the evolution of imaging equipment.
Keyphrases
- early stage
- ultrasound guided
- helicobacter pylori
- single cell
- deep learning
- multiple sclerosis
- healthcare
- squamous cell carcinoma
- helicobacter pylori infection
- working memory
- radiation therapy
- emergency department
- convolutional neural network
- cell therapy
- high resolution
- mesenchymal stem cells
- low grade
- clinical practice
- photodynamic therapy
- neoadjuvant chemotherapy
- soft tissue