使用实时计算机辅助检测系统在实时内镜手术期间检测巴雷特食道的可见病变:试点研究 (附视频)
Kiki N Fockens1, Jelmer B Jukema1, Martijn R Jong1
1Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Gastrointestinal endoscopy
|April 11, 2024
概括
一个新的计算机辅助检测 (CADe) 系统在实时内镜检查期间准确地识别了巴雷特食道中的所有瘤病变. 这种CADe系统有望改善早期检测巴雷特瘤.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 巴雷特食道构成瘤进展的风险.
- 准确检测瘤对于及时干预至关重要.
- 现有诊断方法的灵敏度可能受到限制.
研究的目的:
- 为了评估新型计算机辅助检测 (CADe) 系统的性能.
- 评估CADe系统在活体内镜检测巴雷特瘤的有效性.
- 为了确定CAD辅助工作流程的诊断准确性.
主要方法:
- 试点研究涉及30名患者 (15名有可见病变,15名没有).
- 使用CAD辅助的工作流程,缓慢的回撤视频录制和实时CADe辅助.
- 每2厘米进行一次CADe辅助的基于水平的视频记录.
主要成果:
- 在检测每个患者所有可见瘤病变时,CADe系统实现了100%的灵敏度.
- 每个患者的CADe特异性为53%.
- 每个级别的灵敏度和特异性分别为100%和73%.
结论:
- CADe系统在检测巴雷特食道中的瘤病变方面表现出高灵敏度.
- 在这项试点研究中,他们的表现与专家内镜师的表现相当.
- 计划进行进一步的细化和多中心验证,以提高特异性.
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