在使用计算机辅助数字解决方案进行结核病查时检测其他病理
J Sebastian1, I D Olaru1,2,3, A Giannakis4,5
1Division of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany.
IJTLD open
|December 16, 2024
概括
用于结核病 (TB) 查的计算机辅助检测 (CAD) 工具可以识别胸部X射线异常,包括与TB无关的异常. 这项研究证实,CAD工具可以检测到其他严重疾病,减轻人们对错过诊断的担忧.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 计算机辅助检测 (CAD) 工具为结核病 (TB) 查提供了潜力,特别是在放射科医生稀缺的地方.
- 有关CAD检测非结核病相关的胸部X射线 (CXR) 异常的能力存在担忧.
研究的目的:
- 评估三种商业CAD工具在CXR上检测常见的非结核病异常方面的性能.
- 为了解决在查期间缺少除结核病以外的关键诊断的伦理问题.
主要方法:
- 通过使用标准化注释指南对专家放射科医生的读数进行了评估,对三种商业CAD工具 (qXR,INSIGHT CXR,DRAID) 进行了评估.
- 在高负担国家评估发现了20多种常见的非结核病诊断.
主要成果:
- 这三种CAD工具在识别异常CXR方面都表现出高灵敏度 (INSIGHT CXR为97%,qXR为94%,DrAID为87%).
- CAD工具通常检测到肺癌和心力衰竭等关键异常.
- 对于检测其他特定的非结核病异常的性能有所不同.
结论:
- 商业CAD工具成功识别了非结核病相关疾病的CXR.
- 这些发现减轻了人们对在结核病查与CAD期间错过的非结核病异常的担忧.
- 在结核病查之外,CAD工具显示出更广泛的临床应用潜力.
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