ArticleAcademic radiology2020
Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT.
Article in Academic radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 11 of them syntheses that pooled it.
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Who cites it
101 citing papers in PubMed, 11 syntheses or guidelines pooled it, 201 citations in OpenAlex.
- Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis.Frontiers in public health · 2022Pooled it
- Diagnostic Test Accuracy of Deep Learning Detection of COVID-19: A Systematic Review and Meta-Analysis.Academic radiology · 2021Pooled it
- Diagnostic accuracy of CT and radiographic findings for novel coronavirus 2019 pneumonia: Systematic review and meta-analysis.Clinical imaging · 2021Pooled it
- Chest CT findings of coronavirus disease 2019 (COVID-19): A comprehensive meta-analysis of 9907 confirmed patients.Clinical imaging · 2021Pooled it
- Transmission of SARS-CoV-2 through breast milk and breastfeeding: a living systematic review.Annals of the New York Academy of Sciences · 2021Pooled it
- A meta-analysis of accuracy and sensitivity of chest CT and RT-PCR in COVID-19 diagnosis.Scientific reports · 2020Pooled it
- CT in coronavirus disease 2019 (COVID-19): a systematic review of chest CT findings in 4410 adult patients.European radiology · 2020Pooled it
- Chest CT Imaging Signature of Coronavirus Disease 2019 Infection: In Pursuit of the Scientific Evidence.Chest · 2020Pooled it
- The chest CT features of coronavirus disease 2019 (COVID-19) in China: a meta-analysis of 19 retrospective studies.Virology journal · 2020Pooled it
- Diagnostic Performance of CT and Reverse Transcriptase Polymerase Chain Reaction for Coronavirus Disease 2019: A Meta-Analysis.Radiology · 2020Pooled it
- Comorbidities, clinical signs and symptoms, laboratory findings, imaging features, treatment strategies, and outcomes in adult and pediatric patients with COVID-19: A systematic review and meta-analysis.Travel medicine and infectious diseasePooled it
- Classification of the ICU Admission for COVID-19 Patients with Transfer Learning Models Using Chest X-Ray Images.Diagnostics (Basel, Switzerland) · 2025Article
- A Literature Review on the Relative Diagnostic Accuracy of Chest CT Scans versus RT-PCR Testing for COVID-19 Diagnosis.Tomography (Ann Arbor, Mich.) · 2024Review
- Radiologic Features of T10 Paravertebral Muscle Sarcopenia: Prognostic Factors in COVID-19.Journal of clinical medicine research · 2023Article
- The role of Lung Ultrasound in the diagnosis of SARS-COV-2 disease in pregnant women.Journal of ultrasound · 2023Observational
- COVID-19 Pneumonia with Migratory Pattern in Agammaglobulinemic Patients: A Report of Two Cases and Review of Literature.Tomography (Ann Arbor, Mich.) · 2023Review
- Life-threatening pneumothorax after release from isolation with COVID-19 pneumonia.Radiology case reports · 2023Article
- The Threat of Adversarial Attack on a COVID-19 CT Image-Based Deep Learning System.Bioengineering (Basel, Switzerland) · 2023Article
- COVID-19 and tuberculosis coinfection: An overview of case reports/case series and meta-analysis of prevalence studies.Heliyon · 2023Review
- Computed tomography chest findings in post-acute COVID-19 lung disease at a South African regional hospital - a descriptive study.The Pan African medical journal · 2023Article
41 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RATIONALE AND
objectivesTo retrospectively analyze the chest imaging findings in patients with coronavirus disease 2019 (COVID-19) on thin-section CT. MATERIALS AND
methodsFifty-three patients with confirmed COVID-19 infection underwent thin-section CT examination. Two chest radiologists independently evaluated the imaging in terms of distribution, ground-glass opacity (GGO), consolidation, air bronchogram, stripe, enlarged mediastinal lymph node, and pleural effusion.
resultsFourty-seven cases (88.7%) had findings of COVID-19 infection, and the other six (11.3%) were normal. Among the 47 cases, 78.7% involved both lungs, and 93.6% had peripheral infiltrates distributed along the subpleural area. All cases showed GGO, 59.6% of which were round and 40.4% patchy. Other imaging features included "crazy-paving pattern" (89.4%), consolidation (63.8%), and air bronchogram (76.6%). Air bronchograms were observed within GGO (61.7%) and consolidation (70.3%). Neither enlarged mediastinal lymph nodes nor pleural effusion were present. Thirty-three patients (62.3%) were followed an average interval of 6.2 ± 2.9 days. The lesions increased in 75.8% and resorbed in 24.2% of patients.
conclusionCOVID-19 showed the pulmonary lesions in patients infected with COVID-19 were predominantly distributed peripherally in the subpleural area.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.