用于早期检测结核病患者药物治疗反应的计算机辅助检测（CAD）方法。
Computer-assisted detection (CAD) methodology for early detection of response to pharmaceutical therapy in tuberculosis patients.
作者信息
Lieberman Robert, Kwong Heston, Liu Brent, Huang Hk
机构信息
Image Processing and Informatics Laboratory, 1450 San Pablo St., Suite 2100, Los Angeles, CA, USA 90033.
出版信息
Proc SPIE Int Soc Opt Eng. 2009;7260:726030. doi: 10.1117/12.813583.
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.
肺结核患者的胸部X光放射学特征已有充分记录，并且随着时间的推移通过纵向研究可以追踪到因成功药物治疗而发生变化的放射学特征。根据临床改善情况，患者也可被分类为对药物治疗有反应或耐药。我们回顾性收集了200名接受标准药物治疗的肺结核确诊患者的胸部X光时间序列图像。可以创建计算机算法来利用图像纹理特征评估肺结核患者胸部X光的时间变化。这种方法为计算机辅助检测（CAD）系统提供了一个框架，该系统可能使医生能够在药物治疗早期检测到治疗反应不佳的情况。早期检测使医生能够及时采取其他治疗方案并改善治疗结果。这样的系统有可能每年提高数百万患者的治疗效果。
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