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CT findings of gastritis cystica profunda

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Author:
No author available
Journal Title:
Chinese Journal of Radiology
Issue:
11
DOI:
10.3760/cma.j.cn112149-20191106-00893
Key Word:
胃炎;体层摄影术,X线计算机;诊断;Gastritis;Tomography, X-ray computed;Diagnosis

Abstract: Objective:To explore the CT imaging and clinical features of gastritis cystica profunda (GCP) and improve the level of diagnosis.Methods:From June 2015 to August 2019, the clinical and CT imaging data of 9 GCP patients confirmed by pathology in the First Affiliated Hospital of Zhengzhou University were retrospectively collected. These 9 GCP patients included 3 male and 6 female, aged from 44 to 66 years, with an avereage age of (59±7) years. All the 9 patients underwent plain and enhanced abdominal CT scan. The location, shape, size, margin, density, enhancement pattern and enhancement degree of the lesions were analyzed and summarized.Results:The lesions are more common in gastric antrum (3 cases) and gastric fundus (3 cases). CT imaging showed thickening gastric wall thickening in 3 cases, circular ovoid or circular mass shadow protruding into the gastric cavity in 6 cases. Solid components were dominant in 2 cases and cystic components were dominant in 7 cases. In arterial phase, solid components showed significantly enhancement in 6 cases and moderate enhancement in 3 cases, while muscle layer of lesions were characterized by mild enhancement in 5 cases and moderate enhancement in 4 cases. In venous phase, solid components illustrated as significantly enhancement in 6 cases with progressive pattern and moderate enhancement in 3 cases, while the muscle layer of lesions were featured as progressive moderate enhancement in 4 cases and there is no significant enhancement in the rest 5 cases whose enhancement degree were similar to that of normal gastric wall. Additionally, the surface of the cyst covered with intact mucosa in 7 cases and in other 2 cases without complete mucosa.Conclusion:On the basis of accurate localization, CT scan could provide rich information including size, shape, internal structure and state around the lesion, which is of great value for the diagnosis of GCP.

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