Nagai Mizuki, Suzuki Sho, Minato Yohei, Ishibashi Fumiaki, Mochida Kentaro, Ohata Ken, Morishita Tetsuo
Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, Chiba, Japan.
Department of Gastrointestinal Endoscopy, NTT Medical Center Tokyo, Tokyo, Japan.
Clin Endosc. 2023 Sep;56(5):553-562. doi: 10.5946/ce.2023.055. Epub 2023 Jul 26.
Colonoscopy plays an important role in reducing the incidence and mortality of colorectal cancer by detecting adenomas and other precancerous lesions. Image-enhanced endoscopy (IEE) increases lesion visibility by enhancing the microstructure, blood vessels, and mucosal surface color, resulting in the detection of colorectal lesions. In recent years, various IEE techniques have been used in clinical practice, each with its unique characteristics. Numerous studies have reported the effectiveness of IEE in the detection of colorectal lesions. IEEs can be divided into two broad categories according to the nature of the image: images constructed using narrowband wavelength light, such as narrowband imaging and blue laser imaging/blue light imaging, or color images based on white light, such as linked color imaging, texture and color enhancement imaging, and i-scan. Conversely, artificial intelligence (AI) systems, such as computer-aided diagnosis systems, have recently been developed to assist endoscopists in detecting colorectal lesions during colonoscopy. To better understand the features of each IEE, this review presents the effectiveness of each type of IEE and their combination with AI for colorectal lesion detection by referencing the latest research data.
结肠镜检查通过检测腺瘤和其他癌前病变，在降低结直肠癌的发病率和死亡率方面发挥着重要作用。图像增强内镜检查（IEE）通过增强微观结构、血管和黏膜表面颜色来提高病变的可见性，从而实现对结直肠病变的检测。近年来，各种IEE技术已应用于临床实践，每种技术都有其独特的特点。许多研究报告了IEE在检测结直肠病变方面的有效性。根据图像的性质，IEE可分为两大类：使用窄带波长光构建的图像，如窄带成像和蓝光成像/蓝光激光成像，或基于白光的彩色图像，如联动彩色成像、纹理和颜色增强成像以及i-scan。相反，人工智能（AI）系统，如计算机辅助诊断系统，最近已被开发出来，以协助内镜医师在结肠镜检查期间检测结直肠病变。为了更好地了解每种IEE的特点，本综述通过参考最新研究数据，介绍了每种类型IEE及其与AI联合用于结直肠病变检测的有效性。
