Taghiakbari Mahsa, Djinbachian Roupen, Labelle Juliette, von Renteln Daniel
Montreal University Hospital Research Center (CRCHUM), Montreal, Canada.
Division of Gastroenterology, University of Montreal Hospital Center (CHUM), Montreal, Canada.
Endoscopy. 2025 May;57(5):460-477. doi: 10.1055/a-2502-9733. Epub 2025 Jan 10.
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.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.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.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.
准确测量结直肠息肉的大小对于临床决策和患者管理至关重要。本系统评价旨在评估目前用于测量结肠息肉的技术,以提高常规实践中大小估计的可靠性。通过对PubMed、EMBASE和MEDLINE进行全面的文献检索,以确定1980年至2024年3月期间发表的与大小测量技术相关的研究。主要结局是结肠镜检查期间使用的息肉大小测量技术的准确性。纳入了61项研究,其中34项聚焦于无辅助和辅助内镜视觉估计,27项聚焦于基于计算机的工具。内镜医师之间的视觉大小估计存在显著差异。确定的最准确技术是基于计算机的系统,如虚拟标尺内镜(VSE)和基于人工智能(AI)的系统。最不准确的技术是视觉或基于圈套器的息肉大小估计。VSE通过提供自适应标尺来辅助内镜医师进行实时、直接的体内息肉测量,而AI系统则提供独立于内镜医师主观判断的大小测量。本评价强调需要标准化、准确且易于使用的技术,以优化内镜检查过程中的大小测量准确性。在结肠镜检查期间测量息肉的金标准尚无共识。虽然活检钳、圈套器和刻度装置可以提高视觉大小估计的准确性,但其临床应用受到实际、时间和成本挑战的限制。基于计算机的技术可能在不久的将来提高息肉大小测量的准确性。