Department of Radiology, Seoul National University College of Medicine, and Institute of Radiation Medicine, Seoul National University Medical Research Center.
Cancer Research Institute, Seoul National University, Seoul, Korea.
J Thorac Imaging. 2019 Mar;34(2):92-102. doi: 10.1097/RTI.0000000000000389.
Quantitative features obtained from computed tomography (CT) scans are being explored for clinical applications. Various classes of quantitative features exist for chest CT including radiomics features, emphysema measurements, lung nodule volumetric measurements, dual energy quantification, and perfusion parameters. A number of research articles have shown promise in diagnosis and prognosis prediction of oncologic patients or those with diffuse lung diseases using these feature classes. Nevertheless, a prerequisite for the quantification is the evaluation of variation in measurements in terms of repeatability and reproducibility, which are distinct aspects of precision but are often not separable from each other. There are well-known sources of measurement variability including patient factors, CT acquisition (scan and reconstruction) factors, and radiologist (or measurement-related) factors. The purpose of this article is to review the effects of CT reconstruction parameters on the quantitative imaging features and efforts to correct or neutralize variations induced by those parameters.
从计算机断层扫描（CT）中获得的定量特征正在被探索用于临床应用。胸部 CT 存在各种类别的定量特征，包括放射组学特征、肺气肿测量、肺结节体积测量、双能定量和灌注参数。许多研究文章表明，使用这些特征类别，在肿瘤患者或弥漫性肺部疾病患者的诊断和预后预测方面具有一定的应用前景。然而，定量的前提是评估测量的重复性和再现性方面的变化，这是精度的不同方面，但通常彼此不可分离。存在众所周知的测量变异性来源，包括患者因素、CT 采集（扫描和重建）因素以及放射科医生（或与测量相关）因素。本文的目的是回顾 CT 重建参数对定量成像特征的影响，以及纠正或中和这些参数引起的变化的努力。
