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首页> 外文会议>SPIE Conference on Biomedical Applications in Molecular, Structural, and Functional Imaging >Quantitative Computed Tomography of Lung Parenchyma in Patientswith Emphysema: Analysis of Higher-Density Lung Regions
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Quantitative Computed Tomography of Lung Parenchyma in Patientswith Emphysema: Analysis of Higher-Density Lung Regions

机译：肺气肿患者肺实质的定量计算断层扫描：高密度肺区分析

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Quantitative computed tomography (CT) has been widely used to detect and evaluate the presence (or absence) of emphysema applying the density masks at specific thresholds, e.g., -910 or -950 Hounsfield Unit (HU). However, it has also been observed that subjects with similar density-mask based emphysema scores could have varying lung function, possibly indicating differences of disease severity. To assess this possible discrepancy, we investigated whether density distribution of "viable" lung parenchyma regions with pixel values > -910 HU correlates with lung function. A dataset of 38 subjects, who underwent both pulmonary function testing and CT examinations in a COPD SCCOR study, was assembled. After the lung regions depicted on CT images were automatically segmented by a computerized scheme, we systematically divided the lung parenchyma into different density groups (bins) and computed a number of statistical features (i.e., mean, standard deviation (STD), skewness of the pixel value distributions) in these density bins. We then analyzed the correlations between each feature and lung function. The correlation between diffusion lung capacity (DLCO) and STD of pixel values in the bin of —910HU PV < —750HU was -0.43, as compared with a correlation of -0.49 obtained between the post-bronchodilator ratio (FEV1/FVC) measured by the forced expiratory volume in 1 second (FEV1) dividing the forced vital capacity (FVC) and the STD of pixel values in the bin of —1024HU PV < —910HU . The results showed an association between the distribution of pixel values in "viable" lung parenchyma and lung function, which indicates that similar to the conventional density mask method, the pixel value distribution features in "viable" lung parenchyma areas may also provide clinically useful information to improve assessments of lung disease severity as measured by lung functional tests.
机译：定量计算断层扫描（CT）已被广泛用于检测和评估肺气肿的存在（或不存在）在特定阈值下施加密度掩模，例如-910或-950 Hounsfield单元（Hu）。然而，还观察到，基于密度掩模的肺气肿分数的受试者可以具有不同的肺功能，可能表明疾病严重程度的差异。为了评估这种可能的差异，我们研究了具有像素值> -910u的“可行”肺实质区域的密度分布与肺功能相关。组装了38个受试者的数据集，他们在COPD SCCOR研究中进行了肺功能测试和CT考试。在CT图像上描绘的肺区被通过计算机化方案进行自动分割之后，我们将肺部实质分为不同的密度组（箱）并计算了许多统计特征（即，平均值，标准偏差（STD），偏斜像素值分布）在这些密度箱中。然后，我们分析了每个特征和肺功能之间的相关性。与-910HuPV -750Hu的箱中的箱子中的像素值之间的漫射肺容量（DLCO）和STD的相关性与通过的后支气管扩张剂比（FEV1 / FVC）之间获得的-0.49之间的相关性相比在1秒（FEV1）中的强制呼气量划分强制生命能力（FVC）和-1024Hu PV <-910湖的箱中的像素值的STD。结果表明，“可行”肺实质和肺功能的像素值分布之间的关联，这表明与传统的密度掩模方法类似，“可行”肺实质区域中的像素值分布特征也可以提供临床有用的信息通过肺功能试验测量，改善肺病严重程度的评估。

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