结肠息肉的特征(形态学和粘膜模式):临床应用和技术

IF 0.5 4区 医学 Q4 SURGERY Annals of Laparoscopic and Endoscopic Surgery Pub Date : 2023-10-01 DOI:10.21037/ales-23-10
Kunzah A. Syed, Mako Koseki, Sera Satoi, Erica Park, Priya Simoes, Makoto Nishimura
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引用次数: 0

摘要

随着时间的推移,内镜下治疗肿瘤性结直肠病变已经发展到包括技术上具有挑战性的方法,如内镜下粘膜剥离(ESD),在日本相对广泛地实施后,在美国逐渐获得关注。本文综述了几种内镜诊断和治疗结肠直肠息肉的方法的用途和主要特点,包括白光成像(WLI)、彩色内镜和窄带成像(NBI)。随着这些技术的应用越来越广泛,对全面、准确的分类系统的需求越来越大,例如工藤坑模式、巴黎分类、NBI国际结直肠内镜(NICE)分类以及最近的日本NBI专家小组(JNET)分类。放大内窥镜的起源和目前的影响也被考虑,因为它已经改变了内窥镜医师检查微表面和批判性评估粘膜微观结构的能力,以获得内窥镜预诊断。尽管现有的光学诊断方法有许多明显的优点,但这一领域并非没有潜在的问题,本文将介绍其优点和缺点。本文还讨论了目前有关人工智能(AI)在息肉的检测和治疗以及结直肠癌(CRC)筛查方面的一些有前景的应用。
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Colon polyp characterization (morphology and mucosal patterns): clinical application and techniques
: The endoscopic treatment of neoplastic colorectal lesions has evolved over time to include technically challenging methods such as endoscopic submucosal dissection (ESD), which is slowly gaining traction in the U.S. after relatively widespread implementation in Japan. This review broadly covers the utility and main characteristics of several modalities for the endoscopic diagnosis and treatment of colorectal polyps including white light imaging (WLI), chromoendoscopy, and narrow band imaging (NBI). The increasing utilization of these techniques has unearthed a need for comprehensive and accurate classification systems of assessment, such as Kudo’s pit pattern, the Paris classification, NBI International Colorectal Endoscopic (NICE) classification, and the more recent Japan NBI Experts Team (JNET) classification. The inception and current impact of magnifying endoscopy is also considered, as it has transformed the endoscopist’s ability to inspect microsurfaces and critically evaluate mucosal microstructures to attain an endoscopic prediagnosis. Though there are many clear advantages to existing methods of optical diagnosis, this space has not been devoid of potential problems, and the benefits as well as shortcomings are described herein. The current literature surrounding some promising applications of artificial intelligence (AI) in the detection and management of polyps, as well as in the screening of colorectal cancer (CRC), is also discussed.
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CiteScore
1.40
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0.00%
发文量
20
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