开发和验证开源自动肠道制备规模的开发和验证
Kristoffer Mazanti Cold1, Amihai Heen2, Anishan Vamadevan2
1Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
一个新的AI工具,开源自动肠道准备量表 (OSABPS),准确评估结肠镜准备质量. 这种由人工智能驱动的尺度与多检测率相关,改善了腺瘤检测和患者护理.
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:
- 肠道准备不足是结肠镜检查期间遗漏腺瘤的主要原因之一.
- 波士顿肠道准备量表 (BBPS) 有局限性,与腺瘤检测率没有相关性.
研究的目的:
- 使用人工智能开发一个开源的自动肠道制备量表 (OSABPS).
- 创建一个人工智能工具,与多检测率相关联,以提高结肠镜质量.
主要方法:
- 在50,000张结肠镜镜像上训练了OSABPS算法,使用便比率 (F/M) 来量化便.
- 在内部对1405次结肠镜检查和外部对5525张来自公共数据库的进行了OSABPS的验证.
- 利用Youden J统计数据来确定OSABPS的最佳值.
主要成果:
- 在内部 (r = -0.42) 和外部 (r = -0.70) 验证期间,OSABPS与BBPS显示出显著的相关性.
- 通过使用Youden J.确定了OSABPS的0.09值.
- 在OSABPS低于值的结肠镜检测显示了显著更高的聚检测率.
结论:
- 该OSABPS提供了自动,即时和公正的肠道准备质量的评估.
- 具有OSABPS分数>0.09的结肠镜需要重新检查.
- OSABPS的开源性质促进了广泛的实施和可访问性.
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