Endoscopic features differentiating non-Helicobacter pylori Helicobacter-induced gastric mucosa-associated lymphoid tissue lymphoma with a nodular gastritis-like appearance and H. pylori-induced conventional nodular gastritis

内镜特征可鉴别非幽门螺杆菌感染引起的、具有结节性胃炎样表现的胃黏膜相关淋巴组织淋巴瘤和幽门螺杆菌感染引起的常规结节性胃炎。

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Abstract

OBJECTIVES: Conventional nodular gastritis has been known to be caused by Helicobacter pylori infection. Several cases of gastric mucosa-associated lymphoid tissue (MALT) lymphoma with non-H. pylori Helicobacters (NHPH) exhibit endoscopic findings resembling nodular gastritis. Considering the differences in malignancy, distinguishing between these two conditions is crucial. This study aimed to identify the distinguishing endoscopic features of NHPH-induced gastric MALT lymphoma with nodular gastritis-like appearance (NHPHi-MNG) and H.-induced conventional nodular gastritis (HPi-NG). METHODS: Between 2011 and 2022, we analyzed 17 patients with NHPHi-MNG and 50 patients with HPi-NG at Hiroshima University Hospital and evaluated nodule morphology and distribution patterns. RESULTS: Compared with the HPi-NG group, the NHPHi-MNG group exhibited significantly larger nodules (2.5 vs. 2.0 mm, P < 0.05) with protruded morphology (protruded/superficial, elevated: 14/3 vs. 8/42, P < 0.05), most prominently in the gastric angulus. The variability in nodule size was significantly higher in the NHPHi-MNG group than in the HPi-NG group (0.85 vs. 0.37 mm, P < 0.05), reflecting nodule heterogeneity. The distance from the gastric angulus to the proximal end of the nodular lesions was significantly greater in the NHPHi-MNG group than in the HPi-NG group (4.4 vs. 1.7 cm, P < 0.05). The nodules in the HPi-NG group were smaller, superficial, elevated, and most prominent in the gastric antrum compared with those in the NHPHi-MNG group. They were predominantly distributed in the gastric antrum with a homogeneous morphology. CONCLUSION: NHPHi-MNG and HPi-NG can be endoscopically differentiated according to nodule morphology and distribution. Recognizing these distinguishing features is essential for an accurate diagnosis.

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