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实时计算机辅助检测系统在活体内镜检查中对 Barrett 食管可见病变的应用:一项初步研究(附视频)

The use of a real-time computer-aided detection system for visible lesions in the Barrett's esophagus during live endoscopic procedures: a pilot study (with video).

机构信息

Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.

Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.

出版信息

Gastrointest Endosc. 2024 Sep;100(3):527-531.e3. doi: 10.1016/j.gie.2024.04.011. Epub 2024 Apr 9.

Abstract

BACKGROUND AND AIMS

This pilot study evaluated the performance of a recently developed computer-aided detection (CADe) system for Barrett's neoplasia during live endoscopic procedures.

METHODS

Fifteen patients with a visible lesion and 15 without were included in this study. A CAD-assisted workflow was used that included a slow pullback video recording of the entire Barrett's segment with live CADe assistance, followed by CADe-assisted level-based video recordings every 2 cm of the Barrett's segment. Outcomes were per-patient and per-level diagnostic accuracy of the CAD-assisted workflow, in which the primary outcome was per-patient in vivo CADe sensitivity.

RESULTS

In the per-patient analyses, the CADe system detected all visible lesions (sensitivity 100%). Per-patient CADe specificity was 53%. Per-level sensitivity and specificity of the CADe-assisted workflow were 100% and 73%, respectively.

CONCLUSIONS

In this pilot study, detection by the CADe system of all potentially neoplastic lesions in Barrett's esophagus was comparable to that of an expert endoscopist. Continued refinement of the system may improve specificity. External validation in larger multicenter studies is planned. (Clinical trial registration number: NCT05628441.).

摘要

背景与目的

本初步研究评估了一种新开发的计算机辅助检测(CADe)系统在实时内镜检查期间对 Barrett 肿瘤的性能。

方法

本研究纳入了 15 名有可见病变的患者和 15 名无可见病变的患者。使用 CAD 辅助工作流程,包括对整个 Barrett 段进行缓慢退镜视频记录,并实时 CAD 辅助,然后对 Barrett 段的每 2cm 进行 CAD 辅助的基于水平的视频记录。结果是 CAD 辅助工作流程的每位患者和每个水平的诊断准确性,主要结果是每位患者的体内 CADe 敏感性。

结果

在每位患者的分析中,CADe 系统检测到所有可见病变(敏感性 100%)。每位患者的 CADe 特异性为 53%。CAD 辅助工作流程的每个水平的敏感性和特异性分别为 100%和 73%。

结论

在这项初步研究中,CADe 系统检测到 Barrett 食管中所有潜在的肿瘤性病变的能力与专家内镜医生相当。该系统的进一步改进可能会提高特异性。计划在更大的多中心研究中进行外部验证。(临床试验注册号:NCT05628441.)。

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