在结核病诊断算法中,数字胸部放射图解读的计算机辅助检测值.
Fiona Vanobberghen1,2, Alfred Kipyegon Keter3,4,5, Bart K M Jacobs3
1Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
ERJ open research
|January 10, 2024
概括
在没有完整的参考测试的情况下,确定结核查的计算机辅助检测 (CAD) 值是具有挑战性的. 这项研究发现CAD4TBv7的值为13强,为流行调查提供了一种实际的方法.
科学领域:
- 公共卫生 公共卫生
- 医疗成像医学成像
- 传染病流行病学 传染病流行病学
背景情况:
- 计算机辅助检测 (CAD) 软件有助于结核病 (TB) 查和分类.
- 确定最佳CAD值是很困难的,因为并非所有人都接受了参考测试.
- 国家结核病流行调查为建立这些门提供了潜在的资源.
研究的目的:
- 通过对2019年莱索托国家结核病流行调查的二次分析,确定CAD4TB版本7软件的适当值.
- 为了评估CAD4TBv7在真实世界社区查环境中的表现,并提供不完整的细菌学数据.
主要方法:
- 使用CAD4TBv7.7分析了17070名年龄≥15岁的参与者的胸部X射线图.
- 使用六种方法来解决缺乏细菌学测试结果的参与者 (Xpert MTB/RIF和培养).
- 关于未经测试的个体的多重归因和假设被用于估计结核病患病率和评估诊断准确性.
主要成果:
- 共有5214名参与者被确定了他们的结核病状况,有142例确诊病例.
- 流行率估计在不同方法 (0.83-2.72%) 之间有所不同.
- 13的CAD4TBv7值实现了89.7%的灵敏度和74.2%的特异性,与世卫组织的目标产品简介标准保持一致,特别是假设未经测试的个体呈阴性.
结论:
- 这项研究是第一个在社区查中使用各种方法评估未知结核病状况的CAD4TB.
- 假设未经测试的个体是负的,这对于值的确定是可靠的.
- 提出的分析方法很简单,可以适应用于全球类似流行调查中CAD值的确定.
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