Application of endoscopic ultrasonography in colorectal submucosal lesions
10.3760/cma.j.cn321463-20191114-00766
- VernacularTitle:内镜超声在结直肠黏膜下隆起性病变的应用分析
- Author:
Dan SHI
1
;
Wen LI
;
Lei SHI
;
Shuyi ZHANG
;
Jingyao QIAN
;
Hongzhou LI
;
Yanru LI
Author Information
1. 天津医科大学 300070
- From:
Chinese Journal of Digestive Endoscopy
2020;37(6):415-419
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the diagnostic value of endoscopic ultrasonography (EUS) in colorectal submucosal lesions, and provide evidence for clinical diagnosis and treatment strategies.Methods:A retrospective analysis was performed on data of 229 patients with colorectal submucosal lesions discovered by electronic colonoscopy and EUS. The diagnosis was confirmed by pathology. The location, type, EUS features of lesions and the coincidence rate of EUS and histopathological diagnosis were analyzed.Results:Colorectal submucosal lesions were common in the rectum (44.98%, 103/229) and ascending colon (15.28%, 35/229). Lipoma was the most common pathological type of colorectal submucosal lesions (34.93%, 80/229), which was commonly located in transverse colon (22.50%, 18/80) and ascending colon (20.00%, 16/80). Neuroendocrine tumor was the second one, accounting for 33.63% (77/229), and was commonly located in rectum (96.10%, 74/77), followed by cyst (18.78%, 43/229). Under EUS, 229 cases of lesions originated from submucosa in 215 cases, muscularis mucosa in 11 cases, and muscularis propria in 3 cases. The overall coincidence rate of EUS and pathological diagnosis was 89.08% (204/229). The coincidence rate of EUS diagnosis was 100.00% (80/80) for lipoma, 5/5 for air-cyst, 3/3 for intestinal stromal tumor, 81.82% (72/88) for neuroendocrine tumor, 89.13% (41/46) for cyst, 1/4 for leiomyoma, 2/5 for lymphangioma, and granulosa cell tumor and neurofibroma were both 0.Conclusion:EUS has a more accurate diagnosis of the origin, echogenicity and pathological properties of colorectal submucosal lesions, but it has certain limitations for the diagnosis of rare tumors such as granulosa cell tumor and neurofibroma.
