Normal age-related quantitative CT values in the pediatric lung: from the first breath to adulthood.

TitleNormal age-related quantitative CT values in the pediatric lung: from the first breath to adulthood.
Publication TypeJournal Article
Year of Publication2021
AuthorsBarrera CA, Andronikou S, Tapia IE, White AM, Biko DM, Rapp JB, Zhu X, Otero HJ
JournalClin Imaging
Volume75
Pagination111-118
Date Published2021 Jan 04
ISSN1873-4499
Abstract

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.

DOI10.1016/j.clinimag.2020.12.021
Alternate JournalClin Imaging
PubMed ID33524938