Josef Yayan, Karl-Josef Franke, Melanie Berger, Wolfram Windisch, Kurt Rasche
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引用次数: 0
Abstract
Tuberculosis remains a significant global health challenge. Tuberculosis affects millions of individuals worldwide. Early detection of tuberculosis plays a relevant role in the management of treatment of tuberculosis. This systematic review will analyze the findings of several published studies on the topic of the early detection of tuberculosis. This systematic review highlights their methodologies and limitations as well as their contributions to our understanding of this pressing issue. Early detection of tuberculosis can be achieved through tuberculosis screening for contacts. Comprehensive health education for household contacts can be used as early detection. The in-house deep learning models can be used in the X-ray used for automatic detection of tuberculosis. Interferon gamma release assay, routine passive and active case detection, portable X-ray and nucleic acid amplification testing, and highly sensitive enzyme-linked immunosorbent assay tests play critical roles in improving tuberculosis detection.
结核病仍然是全球健康面临的重大挑战。结核病影响着全球数百万人。结核病的早期发现在结核病的治疗管理中发挥着重要作用。本系统综述将分析已发表的几项关于结核病早期检测主题的研究结果。本系统综述将重点介绍这些研究的方法和局限性，以及它们对我们了解这一紧迫问题所做的贡献。结核病的早期发现可以通过对接触者进行结核病筛查来实现。针对家庭接触者的全面健康教育可作为早期检测手段。内部深度学习模型可用于自动检测结核病的 X 射线。伽马干扰素释放检测、常规被动和主动病例检测、便携式 X 射线和核酸扩增检测以及高灵敏度酶联免疫吸附检测在改进结核病检测方面发挥着至关重要的作用。
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