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COVID-19 in a Pediatric Cohort—Retrospective Review of Chest Computer Tomography Findings

dc.contributor.authorPina Prata, R
dc.contributor.authorForjaco, A
dc.contributor.authorRuano, C
dc.contributor.authorLopes Dias, J
dc.contributor.authorFernandes, L
dc.contributor.authorFerreira, A
dc.contributor.authorAlves, P
dc.contributor.authorCabrita Carneiro, R
dc.contributor.authorNunes, A
dc.contributor.authorSoares, E
dc.date.accessioned2021-06-09T09:04:56Z
dc.date.available2021-06-09T09:04:56Z
dc.date.issued2021
dc.description.abstractBackground: Radiological features of the novel 2019 coronavirus disease (COVID-19) have been mainly described in adults. Available literature states that imaging findings in children are similar but less pronounced. The aim of this study is to describe and illustrate the chest computer tomography (CT) features of pediatric COVID-19. Results: This retrospective study was based on the review of all the chest CTs performed in pediatric patients with confirmed COVID-19 disease between March 8th and May 26th 2020 (n = 24). The presence of comorbidities and coinfection was assessed, as well as timing of CT examination in relation to the onset of symptoms. CT findings were categorized as typical, indeterminate, atypical, and negative for COVID-19 according to International Expert Consensus Statement on Chest Imaging in Pediatric COVID-19 Patient Management. This study found that CT findings were abnormal in 17 (71%) patients, with 5 (21%), 9 (38%), and 3 (13%) patients considered to have typical, indeterminate, and atypical findings, respectively. The most common CT patterns were multiple ground-glass opacities (58%), followed by consolidations (50%). Six patients showed predominantly peripheral distribution of parenchymal abnormalities. A halo sign was identified in 3 patients and a perilobular pattern was identified in one of the cases with typical findings. Conclusions: Chest CT findings in children infected with SARS-CoV-2 can be subtle or absent. Besides recognizing typical findings, radiologists should be able to identify features that favor different or concomitant diagnosis.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationEgyptian J Radiol Nuclear Medicine. 2021; 52:83pt_PT
dc.identifier.doi10.1186/s43055-021-00461-wpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.17/3717
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Openpt_PT
dc.subjectCoronavíruspt_PT
dc.subjectDiagnostic imagingpt_PT
dc.subjectChildpt_PT
dc.subjectHDE IMApt_PT
dc.titleCOVID-19 in a Pediatric Cohort—Retrospective Review of Chest Computer Tomography Findingspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.startPage83pt_PT
oaire.citation.titleEgyptian Journal of Radiology and Nuclear Medicinept_PT
oaire.citation.volume52pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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