Lei Ian Io, Koulaouzidis Anastasios, Baatrup Gunnar, Samaan Mark, Parisi Ioanna, McAlindon Mark, Toth Ervin, Shaukat Aasma, Valentiner Ursula, Dabos Konstantinos John, Fernandez Ignacio, Robertson Alexander, Schelde-Olesen Benedicte, Parsons Nicholas, Arasaradnam Ramesh P
Institute of Precision Diagnostics and Translational Medicine, University Hospital of Coventry and Warwickshire, Clifford Bridge Road, Coventry CV2 2DX, UK.
Department of Digestive Diseases, University Hospitals of Leicester NHS Trust, Leicester, UK.
Therap Adv Gastroenterol. 2024 Jun 12;17:17562848241242681. doi: 10.1177/17562848241242681. eCollection 2024.
Colon capsule endoscopy (CCE) has gained momentum as an alternative modality for the investigation of the lower gastrointestinal tract. Of the few challenges that remain, the comparison and - eventually - matching of polyps at different timestamps leads to the potential for double reporting and can contribute to false-positive findings and inaccuracies. With the impending artificial intelligence integration, the risk of double reporting the same polyp due to the lack of information on spatial orientation underscores the necessity for establishing criteria for polyp matching.
This RAND/University of California, Los Angeles (modified Delphi) process aims to identify the key factors or components used to match polyps within a CCE video. This involves exploring the attributes of each factor to create comprehensive polyp-matching criteria based on international expert consensus.
A systematic qualitative study using surveys.
A panel of 11 international CCE experts convened to assess a survey comprised of 60 statements. Participants anonymously rated statement appropriateness on a 1-9 scale (1-3: inappropriate, 4-6: uncertain and 7-9: appropriate). Following a virtual group discussion of the Round 1 results, a Round 2 survey was developed and completed before the final analysis.
The factors that were agreed to be essential for polyp matching include (1) timestamp, (2) polyp localization, (3) polyp vascular pattern, (4) polyp size, (5) time interval of the polyp appearance between the green and yellow camera, (6) surrounding tissue, (7) polyp morphology and (8) polyp surface and contour. When five or more factors are satisfied, it was agreed that the comparing polyps are likely the same polyp.
This study has established the first complete criteria for polyp matching in CCE. While it might not provide a definitive solution for matching difficult, small and common polyps, these criteria serve as a framework to guide and facilitate the process of polyp-matching.
结肠胶囊内镜检查(CCE)已成为用于检查下消化道的一种替代方式。在仍然存在的少数挑战中,不同时间戳处息肉的比较以及最终的匹配会导致重复报告的可能性,并可能导致假阳性结果和不准确情况。随着人工智能即将整合,由于缺乏空间定位信息而对同一息肉进行重复报告的风险凸显了建立息肉匹配标准的必要性。
此兰德公司/加利福尼亚大学洛杉矶分校(改良德尔菲法)流程旨在确定用于在CCE视频中匹配息肉的关键因素或组成部分。这涉及探索每个因素的属性,以基于国际专家共识创建全面的息肉匹配标准。
一项使用调查的系统性定性研究。
召集了11名国际CCE专家组成的小组来评估一份由60条陈述组成的调查问卷。参与者以1 - 9分制对陈述的适当性进行匿名评分(1 - 3分:不适当,4 - 6分:不确定,7 - 9分:适当)。在对第一轮结果进行虚拟小组讨论之后,制定并完成了第二轮调查问卷,然后进行最终分析。
被一致认为对息肉匹配至关重要的因素包括:(1)时间戳,(2)息肉定位,(3)息肉血管形态,(4)息肉大小,(5)息肉在绿色和黄色摄像头之间出现的时间间隔,(6)周围组织,(7)息肉形态,以及(8)息肉表面和轮廓。当满足五个或更多因素时,一致认为所比较的息肉很可能是同一个息肉。
本研究已建立了CCE中首个完整的息肉匹配标准。虽然它可能无法为匹配困难、小的和常见的息肉提供确定性解决方案,但这些标准可作为指导和促进息肉匹配过程的框架。