Texture and color enhancement imaging versus white light imaging for the detection of colorectal adenomas: Systematic review and meta-analysis

纹理和色彩增强成像与白光成像在结直肠腺瘤检测中的应用:系统评价和荟萃分析

阅读:1

Abstract

BACKGROUND AND STUDY AIMS: Texture and color enhancement imaging (TXI) is a novel optical technology designed to improve visibility during endoscopy by highlighting subtle differences in morphology and color. This systematic review and meta-analysis aimed to determine whether TXI, compared with conventional white light imaging (WLI), can improve important colonoscopy quality indicators, specifically the adenoma detection rate (ADR) and adenomas per colonoscopy (APC). PATIENTS AND METHODS: We searched PubMed, EMBASE, and the Cochrane Central for studies comparing TXI to WLI in patients undergoing colonoscopy for any indication. Risk ratios (RRs) and mean differences (MDs) were computed using a random-effects model. RESULTS: We included 1541 patients from three studies, of which two were randomized controlled trials (RCTs). TXI was used in 775 patients (50.3%). Indications for colonoscopy varied, including positive fecal immunochemical test (FIT), surveillance, and diagnostic workup for abdominal symptoms. In the pooled data, TXI significantly increased both ADR (57,8% versus 43.6%; RR 1.32; 95% confidence interval [CI] 1.20-1.46; P < 0.001; I (2) = 0%) and APC (MD 0.50; 95% CI 0.37-0.64; P < 0.001; I (2) = 0%), compared with WLI. Furthermore, TXI was more effective at detecting nonpolypoid/flat adenomas, proximal/right-sided adenomas, and adenomas ≥ 10 mm in size. Colonoscopies with TXI had shorter withdrawal times. CONCLUSIONS: Our meta-analysis demonstrates that TXI significantly improves detection of colorectal adenomas in patients undergoing colonoscopy for various indications. TXI has the potential to improve overall quality of colonoscopy and contribute to colorectal cancer prevention.

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。