Analysis of pathological characteristics and nursing intervention of patients with gastric polyps based on image stitching algorithm and endoscopy

基于图像拼接算法和内镜检查的胃息肉患者病理特征分析及护理干预

阅读:1

Abstract

OBJECTIVES: The paper uses image stitching algorithm to understand the clinical and pathological characteristics of gastric polyps under gastroscope, and provides objective basis for the clinical diagnosis and treatment of gastric polyps and nursing intervention. METHODS: The endoscopic, pathological data and surgical conditions of 111 patients with gastric polyps detected in the hospital from January 2017 to August 2019 were retrospectively analyzed. RESULTS: The elderly patients (≥60 years old) in this group were those with high incidence of gastric polyps (56.8%); 80 patients with single polyps (72.1%), 31 patients with multiple polyps (27.9%); polyps were mainly located in the stomach (53.2%); polyps diameter ≤0.5cm are more common (69.4%); polyps are mainly hyperplastic polyps (40.5%) and inflammatory polyps in 37 cases (33.3%). Polyps were removed by biopsy forceps in 30 cases, endoscopic submucosal injection of 0.9% NaCl solution combined with high-frequency electrosurgical removal of 54 cases, endoscopic mucosal resection (EMR) in 6 cases, and endoscopic submucosal dissection (ESD) in treatment of the 4 cases, the remaining 17 cases were treated with surgery, and 12 patients were followed up, 2 of whom relapsed. CONCLUSION: Gastric polyps are small in diameter and mostly single; polyps are mainly located in the stomach body, mainly hyperplastic polyps; treatment methods are mostly endoscopic resection, and there is a possibility of recurrence after polypectomy, and follow-up should be strengthened. Full preparation before the operation, close cooperation during the operation, and careful postoperative care are important links to ensure the safety of the operation and reduce complications such as upper gastrointestinal bleeding.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。