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结肠镜检查期间大肠病变的检测。

Detection of colorectal lesions during colonoscopy.

作者信息

Ikematsu Hiroaki, Murano Tatsuro, Shinmura Kensuke

机构信息

Division of Science and Technology for Endoscopy Exploratory Oncology Research & Clinical Trial Center National Cancer Center Chiba Japan.

Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan.

出版信息

DEN Open. 2021 Nov 2;2(1):e68. doi: 10.1002/deo2.68. eCollection 2022 Apr.

Abstract

Owing to its high mortality rate, the prevention of colorectal cancer is of particular importance. The resection of colorectal polyps is reported to drastically reduce colorectal cancer mortality, and examination by endoscopists who had a high adenoma detection rate was found to lower the risk of colorectal cancer, highlighting the importance of identifying lesions. Various devices, imaging techniques, and diagnostic tools aimed at reducing the rate of missed lesions have therefore been developed to improve detection. The distal attachments and devices for improving the endoscopic view angle are intended to help avoid missing blind spots such as folds and flexures in the colon, whereas the imaging techniques represented by image-enhanced endoscopy contribute to improving lesion visibility. Recent advances in artificial intelligence-supported detection systems are expected to supplement an endoscopist's eye through the instant diagnosis of the lesions displayed on the monitor. In this review, we provide an outline of each tool and assess its impact on the reduction in the incidence of missed colorectal polyps by summarizing previous clinical research and meta-analyses. Although useful, the many devices, image-enhanced endoscopy, and artificial intelligence tools exhibited various limitations. Integrating these tools can improve their shortcomings. Combining artificial intelligence-based diagnoses with wide-angle image-enhanced endoscopy may be particularly useful. Thus, we hope that such tools will be available in the near future.

摘要

由于结直肠癌的高死亡率,其预防尤为重要。据报道,切除结直肠息肉可大幅降低结直肠癌死亡率,并且发现由腺瘤检出率高的内镜医师进行检查可降低患结直肠癌的风险,这凸显了识别病变的重要性。因此,为了提高检测率,人们开发了各种旨在降低漏诊率的设备、成像技术和诊断工具。用于改善内镜视角的远端附件和设备旨在帮助避免遗漏结肠中的褶皱和弯曲等盲点,而以图像增强内镜为代表的成像技术有助于提高病变的可见性。人工智能支持的检测系统的最新进展有望通过对显示器上显示的病变进行即时诊断来辅助内镜医师的观察。在这篇综述中,我们概述了每种工具,并通过总结先前的临床研究和荟萃分析来评估其对降低结直肠息肉漏诊率的影响。尽管这些设备、图像增强内镜和人工智能工具很有用,但它们也存在各种局限性。整合这些工具可以弥补它们的缺点。将基于人工智能的诊断与广角图像增强内镜相结合可能特别有用。因此,我们希望这些工具在不久的将来能够问世。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/8828173/2add75099ba1/DEO2-2-e68-g001.jpg

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