医学
结肠镜检查
息肉切除术
大肠息肉
结直肠癌
恶性肿瘤
内窥镜检查
范围(计算机科学)
普通外科
外科
放射科
癌症
内科学
计算机科学
程序设计语言
作者
Anthony Kerbage,Tarek Souaid,Kailash Singh,Carol A. Burke
标识
DOI:10.1097/mcg.0000000000002161
摘要
Colonoscopy is a crucial tool for evaluating lower gastrointestinal disease, monitoring high-risk patients for colorectal neoplasia, and screening for colorectal cancer. In the United States, over 14 million colonoscopies are performed annually, with a significant portion dedicated to post-polypectomy follow-up. Accurate measurement of colorectal polyp size during colonoscopy is essential, as it influences patient management, including the determination of surveillance intervals, resection strategies, and the assessment of malignancy risk. Despite its importance, many endoscopists typically rely on visual estimation alone, which is often imprecise due to technological and human biases, frequently leading to overestimations of polyp size and unnecessarily shortened surveillance intervals. To address these challenges, multiple tools and technologies have been developed to enhance the accuracy of polyp size estimation. The review examines the evolution of polyp measurement techniques, ranging from through-the-scope tools to computer-based and artificial intelligence-assisted technologies.
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