Pediatric SARS-CoV-2 long term outcomes study: chest radiographic and computed tomography findings at baseline

BACKGROUND: Radiologic findings associated with SARS-CoV-2 infection have been well described since its emergence. However, long-term clinical and radiologic complications of pediatric SARS-CoV-2 infection are less defined, including radiologic findings in children following recovery. OBJECTIVE: This study compares chest radiographic (CXR) and low-dose chest computed tomography (CT) findings in pediatric participants; a longitudinal cohort of children who have recovered from SARS-CoV-2 infection and uninfected controls. MATERIALS AND METHODS: Eight hundred forty-six children (700 laboratory confirmed SARS-CoV-2-infected children and 146 uninfected controls) completed a radiologic exam at the baseline visit, which occurred 9.8 months (mean) post-infection. CXR (n=485) and CT (n=362) images were evaluated by three radiologists for known radiologic manifestations of COVID-19 including various patterns of opacities (ground glass, reticular, consolidation), nodules, perihilar thickening, effusions, and/or cystic changes. Comparisons were made using generalized estimating equations with cohort (infected vs. uninfected) as the predictor. RESULTS: Overall, the incidence of radiologic abnormalities detected at baseline was 32.1% in the infected cohort and 24.0% in the uninfected cohorts. Infected participants were more likely to have CXR abnormalities than uninfected (21.2% vs. 12.4%; OR 2.44; 95% CI 1.19-5.02; P=0.016). This was primarily due to an increased incidence of perihilar peribronchial thickening (17.4% in infected vs. 10.1% in noninfected). There were no statistically significant differences between cohorts for CT abnormalities (46.2% vs. 42.1%; OR 1.24; 95% CI 0.71-2.16; P=0.46). Radiologic abnormalities were not statistically significantly associated with presence of pulmonary symptoms after recovery. CONCLUSIONS: At the baseline visit, infected participants were more likely than uninfected controls to have chest radiographic abnormalities, limited to perihilar peribronchial thickening. There was no significant difference in CT abnormalities between the two cohorts. There was no increased frequency of radiographic findings in children with underlying asthma, nor in children who experienced pulmonary symptoms following recovery at the baseline visit.

Authors

Institutions

Publication Details

Journal
Pediatric Radiology
Published
2026-06-25
DOI
https://doi.org/10.1007/s00247-026-06701-3
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pediatric SARS-CoV-2 long term outcomes study: chest radiographic and computed tomography findings at baseline

Allyson Mateja, Meagan E. Williams, Roberta L. DeBiasi, Dorothy Bulas et al.
Pediatric Radiology
COVID-19 Clinical Research Studies
article

Pediatric SARS-CoV-2 long term outcomes study: chest radiographic and computed tomography findings at baseline

Allyson Mateja, Meagan E. Williams, Roberta L. DeBiasi, Dorothy Bulas, C Jason Liang, Gadwyn Sánchez, Karyl Barron, Eric Chu, Evrim B. Turkbey, Jonathan Zember
article en

Abstract

BACKGROUND: Radiologic findings associated with SARS-CoV-2 infection have been well described since its emergence. However, long-term clinical and radiologic complications of pediatric SARS-CoV-2 infection are less defined, including radiologic findings in children following recovery. OBJECTIVE: This study compares chest radiographic (CXR) and low-dose chest computed tomography (CT) findings in pediatric participants; a longitudinal cohort of children who have recovered from SARS-CoV-2 infection and uninfected controls. MATERIALS AND METHODS: Eight hundred forty-six children (700 laboratory confirmed SARS-CoV-2-infected children and 146 uninfected controls) completed a radiologic exam at the baseline visit, which occurred 9.8 months (mean) post-infection. CXR (n=485) and CT (n=362) images were evaluated by three radiologists for known radiologic manifestations of COVID-19 including various patterns of opacities (ground glass, reticular, consolidation), nodules, perihilar thickening, effusions, and/or cystic changes. Comparisons were made using generalized estimating equations with cohort (infected vs. uninfected) as the predictor. RESULTS: Overall, the incidence of radiologic abnormalities detected at baseline was 32.1% in the infected cohort and 24.0% in the uninfected cohorts. Infected participants were more likely to have CXR abnormalities than uninfected (21.2% vs. 12.4%; OR 2.44; 95% CI 1.19-5.02; P=0.016). This was primarily due to an increased incidence of perihilar peribronchial thickening (17.4% in infected vs. 10.1% in noninfected). There were no statistically significant differences between cohorts for CT abnormalities (46.2% vs. 42.1%; OR 1.24; 95% CI 0.71-2.16; P=0.46). Radiologic abnormalities were not statistically significantly associated with presence of pulmonary symptoms after recovery. CONCLUSIONS: At the baseline visit, infected participants were more likely than uninfected controls to have chest radiographic abnormalities, limited to perihilar peribronchial thickening. There was no significant difference in CT abnormalities between the two cohorts. There was no increased frequency of radiographic findings in children with underlying asthma, nor in children who experienced pulmonary symptoms following recovery at the baseline visit.

Pediatric Radiology
Children's National (US), George Washington University (US), Frederick National Laboratory for Cancer Research (US), National Institute of Allergy and Infectious Diseases (US), National Institutes of Health Clinical Center (US)
Good health and well-being
Openalex Percentile: Top 8%
COVID-19 Clinical Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.