Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY, USA.
J Thorac Imaging. 2013 Sep;28(5):280-3. doi: 10.1097/RTI.0b013e3182a0d805.
Quantitative computed tomography (QCT) can provide reliable and valid measures of lung structure and volumes. Similar to lung function measured by spirometry, lung measures obtained by QCT vary by demographic and anthropomorphic factors including sex, race/ethnicity, and height in asymptomatic nonsmokers. Hence, accounting for these factors is necessary to define abnormal from normal QCT values. Prediction equations for QCT may be derived from a sample of asymptomatic individuals to estimate reference values. This review article describes the methodology of reference equation development using, as an example, quantitative densitometry to detect pulmonary emphysema. The process described is generalizable to other QCT measures, including lung volumes, airway dimensions, and gas-trapping. Pulmonary emphysema is defined morphologically by airspace enlargement with alveolar wall destruction and has been shown to correlate with low lung attenuation estimated by QCT. Deriving reference values for a normal quantity of low lung attenuation requires 3 steps. First, criteria that define normal must be established. Second, variables for inclusion must be selected on the basis of an understanding of subject-specific, scanner-specific, and protocol-specific factors that influence lung attenuation. Finally, a reference sample of normal individuals must be selected that is representative of the population in which QCT will be used to detect pulmonary emphysema. Sources of bias and confounding inherent to reference values are also discussed. Reference equation development is a multistep process that can define normal values for QCT measures such as lung attenuation. Normative reference values will increase the utility of QCT in both research and clinical practice.
定量计算机断层扫描(QCT)可以提供可靠和有效的肺结构和容积测量。与肺活量计测量的肺功能类似,QCT 获得的肺测量值因性别、种族/民族和身高等人口统计学和人体测量学因素而异,在无症状不吸烟者中。因此,有必要解释这些因素来定义 QCT 值的正常和异常。QCT 的预测方程可以从无症状个体的样本中得出,以估计参考值。本文综述了使用定量密度测定法(作为示例)来检测肺气肿的参考方程开发方法。描述的过程可推广到其他 QCT 测量值,包括肺容积、气道尺寸和气体捕获。肺气肿在形态学上通过气腔扩大伴肺泡壁破坏来定义,并且已经证明与 QCT 估计的低肺衰减相关。为正常数量的低肺衰减推导出参考值需要 3 个步骤。首先,必须建立定义正常的标准。其次,必须根据对影响肺衰减的个体特定、扫描特定和协议特定因素的理解来选择纳入变量。最后,必须选择具有代表性的正常个体参考样本,用于检测肺气肿的 QCT。还讨论了参考值固有的偏倚和混杂源。参考方程的开发是一个多步骤的过程,可以定义 QCT 测量值(如肺衰减)的正常值。规范的参考值将增加 QCT 在研究和临床实践中的实用性。