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基于胸部X射线的结核查的通用和分层计算机辅助检测值的表现:一个横截面的诊断准确性研究
Joowhan Sung1, Peter James Kitonsa2, Annet Nalutaaya2
1Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Walimu, Uganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
The Lancet. Digital health
|November 27, 2025
概括
计算机辅助检测 (CAD) 软件在结核病查中显示出高准确性,即使在没有症状的个体中也是如此. 根据年龄和性别量身定制CAD值,进一步提高了针对个性化结核病检测的有效性.
科学领域:
- 医疗成像医学成像
- 传染病诊断 传染病诊断 传染病诊断
- 公共卫生查 公共卫生查
背景情况:
- 计算机辅助检测 (CAD) 软件分析胸部X射线的结核病 (TB) 指标.
- 目前的结核病查准确度估计受限于对X射线得分较低或没有症状的个体的稀缺数据.
- 进一步测试的最佳CAD值可能因人群和个体特征而异.
研究的目的:
- 评估CAD对所有参与者的结核病查的诊断准确性.
- 评估按年龄和性别分层CAD值是否可以提高查性能.
主要方法:
- 一项横截面的诊断准确性研究,涉及52,835名15岁以上的乌干达参与者.
- 胸部X射线使用CAD (qXR版本3.2) 进行分析,并使用唾液测试 (Xpert MTB/RIF Ultra) 进行超过0.1.1的得分.
- 诊断准确度指标 (灵敏度,特异性,AUC) 被估计为通用和分层的CAD值.
主要成果:
- 在检测Xpert阳性结核病时,CAD显示估计AUC为0.92.
- 按年龄和性别分层CAD值,与通用值相比,显著提高了准确性.
- 在96.1%的特异性下,分层值产生了76.9%的灵敏度,而普遍值为75.0%.
结论:
- 结核病查的CAD精度高于以前的估计,包括无症状个体.
- 根据年龄和性别对CAD值进行分层,可以提高查效率.
- 建议使用分层CAD值的个性化结核病查方法.
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