性结肠炎严重程度分类和局部程度 (UC-SCALE):一种人工智能评分系统,用于空间评估性结肠炎疾病严重程度
Benjamin Gutierrez-Becker1, Stefan Fraessle1, Heming Yao2
1Roche, Pharma Research & Early Development, Data and Analytics, Basel, Switzerland.
一种名为Ulcerative Colitis Severity Classification and Localized Extent (UC-SCALE) 的新算法准确评估了性结肠炎 (UC) 患者的内镜严重程度和疾病程度. 这种自动化系统与专家的读数有很高的一致性,与临床标记有相关性.
科学领域:
- 胃肠病学 胃肠病学
- 医学成像分析 医学成像分析
- 计算病理学计算病理学
背景情况:
- 目前的性结肠炎 (UC) 评分方法如MCES专注于最糟糕的部分,忽视了疾病的整体程度.
- 需要全面的,自动化的工具来评估UC的内镜严重程度和程度.
研究的目的:
- 引入性结肠炎严重程度分类和局部范围 (UC-SCALE) 算法,用于自动化UC内镜评估.
- 提供一种工具,以评估UC患者的疾病严重程度和程度.
主要方法:
- UC-SCALE算法包含了结肠镜视频的质量过器,每个的MCES评分系统和相机定位算法.
- 该系统在来自埃特罗利祖马布临床试验的4326个西格莫显微镜视频上进行了训练和验证.
主要成果:
- UC-SCALE与中央和地方专家的读数达成高度一致 (分别为0.80和0.84).
- 该算法的得分与临床标志物如calprotectin,C反应蛋白,患者报告的结果,医生全球评估和Geboes历史学得分 (rs 0.40-0.55,p < 0.0001) 有显著的相关性.
- UC-SCALE有效地评估了从基线到诱导的内镜严重性变化.
结论:
- 自动化的UC-SCALE系统提供了准确,客观和局部化的UC的内镜严重性评估.
- UC-SCALE对疾病严重程度的拓表示与临床指标相关,提高了临床试验和实践中的评估.
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