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计算机断层扫描作为临床试验成像的生物标志物。

Computed tomography as a biomarker in clinical trials imaging.

机构信息

Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA.

出版信息

J Thorac Imaging. 2013 Sep;28(5):291-7. doi: 10.1097/RTI.0b013e3182a1d93d.

Abstract

There has been increasing interest in developing novel pulmonary biomarkers to assist in drug and device development in the setting of patients with chronic obstructive pulmonary disease and diffuse parenchymal lung disease. In this review we discuss which computed tomography (CT)-based biomarkers are currently being implemented and the challenges inherent in their development, validation, and implementation in multicenter trials. CT scans provide valuable information about lung structure and function but face challenges with respect to standardization across multiple sites and time points; in addition, the concern around radiation has to be considered. There is relatively little information about how any of these biomarkers relate to other clinical outcomes such as progression of disease, severity of disease, clinical subtypes, or response to therapy. Additional information is also needed about the variability in these measurements. In the future, CT biomarkers may be useful in predicting disease progression, in indicating disease instability, and in predicting response to current and novel therapies, many of which are now under development.

摘要

人们越来越关注开发新的肺脏生物标志物,以协助慢性阻塞性肺疾病和弥漫性实质性肺疾病患者的药物和器械研发。在这篇综述中,我们讨论了目前正在应用的哪些基于 CT 的生物标志物,以及它们在开发、验证和多中心试验中应用所固有的挑战。CT 扫描可提供有关肺结构和功能的有价值信息,但在多个地点和时间点的标准化方面面临挑战;此外,还必须考虑到辐射问题。关于这些生物标志物与其他临床结果(如疾病进展、疾病严重程度、临床亚型或对治疗的反应)的相关性,信息相对较少。还需要了解这些测量值的变异性方面的更多信息。未来,CT 生物标志物可能有助于预测疾病进展、指示疾病不稳定以及预测对当前和新型治疗方法的反应,其中许多治疗方法正在开发中。

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