医学
峰度
线性回归
肺
偏斜
核医学
肺容积
人体测量学
回归分析
相关性
薄壁组织
内科学
数学
病理
统计
几何学
作者
Christian A. Barrera,Savvas Andronikou,Ignacio E. Tapia,Ammie M. White,David M. Biko,Jordan B. Rapp,Xiaowei Zhu,Hansel J. Otero
标识
DOI:10.1016/j.clinimag.2020.12.021
摘要
Objective To characterize the normal progression of quantitative CT parameters in normal children from birth to adulthood. Materials and methods Patients aged 0–18 years with non-contrast-enhanced chest CT and evidence of normal lung parenchyma were included. Patients with respiratory symptoms, incomplete anthropometric measurements, or sub-optimal imaging technique were excluded. Segmentation was performed using an open-source software with an automated threshold segmentation. The following parameters were obtained: mean lung density, kurtosis, skewness, lung volume, and mass. Linear and exponential regression models were calculated with age and height as independent variables. A p-value of <0.05 was considered significant. Results 220 patients (111 females, 109 males) were included. Mean age was 9.6 ± 5.9 years and mean height was 133.9 ± 35.1 cm. Simple linear regression showed a significant relationship between mean lung density with age (R 2 = 0.70) and height (R 2 = 0.73). Kurtosis displayed a significant exponential correlation with age (R 2 = 0.70) and height (R 2 = 0.71). Skewness showed a significant exponential correlation with age (R 2 = 0.71) and height (R 2 = 0.73). Lung mass showed a correlation with age (R 2 = 0.93) and height (R 2 = 0.92). Exponential regression showed a significant relationship between lung volume with age (R 2 = 0.88) and height (R 2 = 0.93). Conclusion Quantitative CT parameters of the lung parenchyma demonstrate changes from birth to adulthood. As children grow, the mean lung density decreases, and the lung parenchyma becomes more homogenous.
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