Quantitative CT and pulmonary function in children with post-infectious bronchiolitis obliterans

Jonghyeon Kim, Myung Joon Kim, In Suk Sol, Myung Hyun Sohn, Haesung Yoon, Hyun Joo Shin, Kyung Won Kim, Mi Jung Lee

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12 Citations (Scopus)


Objective To investigate the feasibility of CT-based quantitative airway and air-trapping measurements and to assess their correlation with pulmonary function in children with post-infectious bronchiolitis obliterans (PIBO). Materials and methods This retrospective study approved by the institutional review board included chest CT scans and pulmonary function tests (PFT) completed between January 2005 and December 2016 in children diagnosed with PIBO. The quantitative analysis of segmental and subsegmental bronchi was performed on each chest CT scan, measuring the areas or diameters of lumens, walls, or the entire airway. The air-trapping volume (ATV), the volume of lung area exhibiting lower attenuation than the mean attenuation of normal and air-trapping areas, was also measured in each lobe. Comparison analyses between CT parameters and PFT results were performed with Pearson or Spearman correlation. Results In total, 23 patients were enrolled (mean age 7.0 ± 3.3 years; range, 4–15 years). We successfully measured 89.6% of all segmental bronchi. In the airway analysis, wall area showed a negative correlation with forced expiratory volume in one second (FEV 1 ) in the majority of the pulmonary lobes. Air-trapping analyses demonstrated that ATV was negatively correlated with FEV 1 and positively correlated with reactance at 5 Hz. Conclusion Quantitative airway and air-trapping measurements from chest CT are feasible and correlate with pulmonary function in pediatric PIBO patients.

Original languageEnglish
Article numbere0214647
JournalPloS one
Issue number4
Publication statusPublished - 2019 Apr

Bibliographical note

Funding Information:
The authors thank Yun Ho Roh, MS (Biostatistics Collaboration Unit, Yonsei University College of Medicine), for his contribution to the statistical analyses; Dong-Su Jang, MFA (medical illustrator), for his help producing figures; and Young Mi Chun (Philips Healthcare), RT, for support with image analyses. None of the authors have anything to declare.

Publisher Copyright:
© 2019 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

All Science Journal Classification (ASJC) codes

  • General


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