AbstractBackgr . 翻译
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英语 】
Abstract
Background: Guidelines suggest computed tomography colonography (CTC) following incomplete optical colonoscopy (OC). Colon capsule endoscopies (CCE) have been suggested as an alternative, although completion rates
have been unsatisfactory. Introduction of artificial intelligence (AI)-based localization algorithms of the camera
capsules may enable identification of incomplete CCE investigations overlapping with incomplete OCs.
Objective: The study aims to investigate relative sensitivity of CCE compared with CTC following incomplete OC
,investigate the completion rate when combining results from the incomplete OC and CCE, and develop a forwardtracking algorithm ensuring a safe completeness of combined investigations.
Methods: In this prospective paired study, patients with indication for CTC following incomplete OC were included
for CCE and CTC. Location of CCE abortion and OC abortion were registered to identify complete
combined investigations. AI-based algorithm for localization of capsules were developed reconstructing the
passage of the colon.
Results: In 237 individuals with CTC indication; 105 were included, of which 97 underwent both a CCE and CTC. CCE
was complete in 66 (68%). Including CCEs which reached most oral point of incomplete OC, 73 (75%) had complete
colonic investigations; 78 (80%) had conclusive investigations. Relative sensitivity of CCE compared with CTC was
2.67 (95% confidence interval (CI) 1.76;4.04) for polyps >5 mm and 1.91 (95% CI 1.18;3.09) for polyps >9 mm. An AIbased algorithm was developed.
Conclusion: Sensitivity of CCE following incomplete OC was superior to CTC. Introducing and improving algorithmbased localization of capsule abortion may increase identification of overall complete investigation rates following
incomplete OC.
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中文 】
摘要
背景：指南建议在不完全光学结肠镜检查（OC）后进行计算机断层结肠成像（CTC）。结肠胶囊内窥镜（CCE）已被建议作为一种替代方法，尽管完成率较高
一直不令人满意。介绍基于人工智能的摄像机定位算法
胶囊可以识别与不完整OCs重叠的不完整CCE调查。
目的：本研究旨在探讨CCE与CTC在不完全OC后的相对敏感性，
当组合来自不完整OC和CCE的结果时，调查完成率，并开发前向跟踪算法，确保组合调查的安全完整性。
方法：在这项前瞻性配对研究中，包括不完全性卵巢癌后有CTC适应症的患者
对于CCE和CTC。登记CCE流产和OC流产的位置，以确定完全流产
联合调查。提出了基于人工智能的胶囊定位算法
结肠通道。
结果：237例有CTC指征者；包括105人，其中97人同时接受了CCE和CTC。CCE公司
完成66例（68%）。包括达到不完全OC最口语点的CCE，73（75%）为完全OC
结肠检查；78人（80%）进行了结论性调查。与连接时序分类相比，连接时序分类的相对灵敏度为
2.67（95%可信区间）1.76；4.04）对于息肉>；5 mm和1.91（95%可信区间1.18；3.09）用于息肉>；9毫米。开发了一种基于人工智能的算法。
结论：CCE对不完全OC的敏感性优于CTC。引入和改进基于算法的囊性流产定位可能会提高以下总体完整调查率的识别率：
OC不完整。