Linked color imaging for detection and characterization of gastrointestinal neuroendocrine tumors

用于检测和表征胃肠道神经内分泌肿瘤的关联彩色成像

阅读:4

Abstract

BACKGROUND AND AIMS: The endoscopic detection of gastrointestinal neuroendocrine tumors (GI-NETs) remains clinically challenging. Linked color imaging (LCI), which enhances color contrast, may improve the identification of tumorous lesions. This study aims to evaluate the endoscopic characteristics of GI-NETs using LCI in comparison with white light imaging (WLI). METHODS: We retrospectively reviewed two pictures both with WLI and LCI for consecutive patients with GI-NETs who underwent endoscopic resection at our center. The endoscopic features and clinic characteristics were analyzed. The edges of lesions were identified using the Canny operator, and color differences (∆E) between lesions and surrounding mucosa in gastric and rectal NETs were measured using the CIE Lab* color space(CIE: Commission Internationale d'Eclairage). Three expert endoscopists and three non-experts independently assessed LCI and WLI images using a validated visibility scores scale. RESULTS: Sixty patients were included in the analysis. The average ∆E values for LCI were significantly higher than those for WLI in both gastric and rectal NETs (P < 0.05). In rectal NETs, the increased contrast was predominantly driven by enhancement of the yellow-blue component (b*) (P < 0.001). LCI provided superior delineation of lesion edges and more detailed visualization compared to WLI. LCI significantly improves the visibility scores of GI-NETs compared to WLI among non-expert endoscopists (P < 0.001). CONCLUSION: LCI significantly improves the endoscopic visibility of GI-NETs by enhancing color contrast between lesions and surrounding mucosa and optimizing edges visualization. These benefits may allow easy recognition of GI-NETs even for non-experts, suggesting that LCI may be a valuable tool for enhancing the endoscopic detection and characterization of GI-NETs.

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。