Computer-assisted detection (CAD) methodology for early detection of response to pharmaceutical therapy in tuberculosis patients.
Computer-assisted detection (CAD) methodology for early detection of response to pharmaceutical therapy in tuberculosis patients.
复制标题
计算机辅助检测（CAD）方法用于早期检测结核病患者对药物治疗的反应。
DOI：
10.1117/12.813583
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Huang,Hk
中科院分区：
文献类型：
--
作者：
Lieberman,Robert;Kwong,Heston;Liu,Brent;Huang,Hk
肺结核患者的胸部X线放射学特征有充分的文献记载，随着时间的推移，可以通过纵向研究来跟踪成功药物治疗后的放射学特征变化。根据临床改善，患者也可分为对药物治疗有反应或有抗性。我们回顾性收集了200名接受标准药物治疗的诊断为结核病的患者的时间序列胸部X光图像。可以创建计算机算法以利用图像纹理特征来评估结核患者的胸部X射线的时间变化。这种方法提供了一个计算机辅助检测（CAD）系统的框架，可以为医生提供在药物治疗早期检测不良治疗反应的能力。早期发现使医生能够更及时地采取治疗方案并改善结果。这样的系统有可能提高每年数百万患者的治疗效果。
The chest x-ray radiological features of tuberculosis patients are well documented, and the radiological features that change in response to successful pharmaceutical therapy can be followed with longitudinal studies over time. The patients can also be classified as either responsive or resistant to pharmaceutical therapy based on clinical improvement. We have retrospectively collected time series chest x-ray images of 200 patients diagnosed with tuberculosis receiving the standard pharmaceutical treatment. Computer algorithms can be created to utilize image texture features to assess the temporal changes in the chest x-rays of the tuberculosis patients. This methodology provides a framework for a computer-assisted detection (CAD) system that may provide physicians with the ability to detect poor treatment response earlier in pharmaceutical therapy. Early detection allows physicians to respond with more timely treatment alternatives and improved outcomes. Such a system has the potential to increase treatment efficacy for millions of patients each year.