医学
结肠镜检查
医学物理学
金标准(测试)
可靠性(半导体)
人工智能
梅德林
计算机科学
放射科
结直肠癌
内科学
物理
癌症
量子力学
功率(物理)
法学
政治学
作者
Mahsa Taghiakbari,Roupen Djinbachian,Juliette Labelle,Daniel von Renteln
出处
期刊:Endoscopy
[Thieme Medical Publishers (Germany)]
日期:2025-01-10
卷期号:57 (05): 460-477
被引量:9
摘要
Background: Accurate size measurement of colorectal polyps is critical for clinical decision making and patient management. This systematic review aimed to evaluate the current techniques used for colonic polyp measurement to improve the reliability of size estimations in routine practice. Methods: A comprehensive literature search was conducted across PubMed, EMBASE, and MEDLINE to identify studies relevant to size measurement techniques published between 1980 and March 2024. The primary outcome was the accuracy of polyp sizing techniques used during colonoscopy. Results: 61 studies were included with 34 focusing on unassisted and assisted endoscopic visual estimation and 27 on computer-based tools. There was significant variability in visual size estimation among endoscopists. The most accurate techniques identified were computer-based systems, such as virtual scale endoscopes (VSE) and artificial intelligence (AI)-based systems. The least accurate techniques were visual or snare-based polyp size estimation. VSE assists endoscopists by providing an adaptive scale for real-time, direct, in vivo polyp measurements, while AI systems offer size measurements independent of the endoscopist’s subjective judgment. Conclusion: This review highlights the need for standardized, accurate, and accessible techniques to optimize sizing accuracy during endoscopic procedures. There is no consensus on a gold standard for measuring polyps during colonoscopy. While biopsy forceps, snare, and graduated devices can improve the accuracy of visual size estimation, their clinical implementation is limited by practical, time, and cost challenges. Computer-based techniques will likely offer improved accuracy of polyp sizing in the near future.
科研通智能强力驱动
Strongly Powered by AbleSci AI