ArticleEuropean radiology2020
COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia.
Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 71 papers, 4 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Pulmonary Tomographic Findings in COVID-19 and Influenza H1N1 Patients
Pulmonary Tomographic Findings in COVID-19 and Influenza H1N1 Patients at IMSS Guanajuato
Who cites it
71 citing papers in PubMed, 4 syntheses or guidelines pooled it, 137 citations in OpenAlex.
- Differences in clinical characteristics between coronavirus disease 2019 (COVID-19) and influenza: a systematic review and meta-analysis.NPJ primary care respiratory medicine · 2025Pooled it
- Differences of the Chest Images Between Coronavirus Disease 2019 (COVID-19) Patients and Influenza Patients: A Systematic Review and Meta-analysis.International journal of medical sciences · 2025Pooled it
- Pooled it
- Chest CT Imaging Signature of Coronavirus Disease 2019 Infection: In Pursuit of the Scientific Evidence.Chest · 2020Pooled it
- Expert consensus on imaging diagnosis of human infection with avian influenza.Quantitative imaging in medicine and surgery · 2026Review
- Subsegmental vascular dilatations: An important finding in COVID-19 pneumonia.Revista da Sociedade Brasileira de Medicina Tropical · 2026Article
- Time to death and its predictors among under-five children with acute pneumonia: a Bayesian parametric survival analysis.Pneumonia (Nathan Qld.) · 2025Article
- Comparison of Tomographic Findings in Patients with Influenza A (H1N1) and COVID-19.Diagnostics (Basel, Switzerland) · 2025Article
- Epidemiology and Clinical Characteristics of Laboratory-Confirmed COVID-19 and Influenza Infections in Children: A 2015-2024 Study in Taiwan.Microorganisms · 2025Article
- COMPARISON OF CT REPORTING SYSTEMS IN PATIENTS UNDERGOING THORAX COMPUTED TOMOGRAPHY FOR COVID-19 PNEUMONIA.Acta clinica Croatica · 2024Article
- Immunoglobulins in COVID-19 pneumonia: from the acute phase to the recovery phase.European journal of medical research · 2024Article
- Comparison of Computed Tomography and Clinical Features Between Patients Infected with the SARS-CoV-2 Omicron Variant and the Original Strain.Infection and drug resistance · 2024Article
- Doubts and concerns about COVID-19 uncertainties on imaging data, clinical score, and outcomes.BMC pulmonary medicine · 2023Article
- The role of CT-scan in the diagnosis and prognosis of COVID-19 in a sample of Iraqi patients referred to Al-Diwaniyah Teaching Hospital, Iraq.Journal of medicine and life · 2023Observational
- Special Issue: "Respiratory Disease in the COVID-19 Era".Medicina (Kaunas, Lithuania) · 2023Article
- Dry loop-mediated isothermal amplification assay for detection of SARS-CoV-2 from clinical specimens.Fujita medical journal · 2023Article
- Can a chest HRCT-based crash course on COVID-19 cases make inexperienced thoracic radiologists readily available to face the next pandemic?Clinical imaging · 2023Article
- ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans.Computers in biology and medicine · 2023Article
- Early peripheral blood lymphocyte subsets and cytokines in predicting the severity of influenza B virus pneumonia in children.Frontiers in cellular and infection microbiology · 2023Article
- Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study.Iranian journal of medical sciences · 2022Article
11 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo investigate the clinical and chest CT characteristics of COVID-19 pneumonia and explore the radiological differences between COVID-19 and influenza. MATERIALS AND
methodsA total of 122 patients (61 men and 61 women, 48 ± 15 years) confirmed with COVID-19 and 48 patients (23 men and 25 women, 47 ± 19 years) confirmed with influenza were enrolled in the study. Thin-section CT was performed. The clinical data and the chest CT findings were recorded.
resultsThe most common symptoms of COVID-19 were fever (74%) and cough (63%), and 102 patients (83%) had Wuhan contact. Pneumonia in 50 patients with COVID-19 (45%) distributed in the peripheral regions of the lung, while it showed mixed distribution in 26 patients (74%) with influenza (p = 0.022). The most common CT features of the COVID-19 group were pure ground-glass opacities (GGO, 36%), GGO with consolidation (51%), rounded opacities (35%), linear opacities (64%), bronchiolar wall thickening (49%), and interlobular septal thickening (66%). Compared with the influenza group, the COVID-19 group was more likely to have rounded opacities (35% vs. 17%, p = 0.048) and interlobular septal thickening (66% vs. 43%, p = 0.014), but less likely to have nodules (28% vs. 71%, p < 0.001), tree-in-bud sign (9% vs. 40%, p < 0.001), and pleural effusion (6% vs. 31%, p < 0.001).
conclusionsThere are significant differences in the CT manifestations of patients with COVID-19 and influenza. Presence of rounded opacities and interlobular septal thickening, with the absence of nodules and tree-in-bud sign, and with the typical peripheral distribution, may help us differentiate COVID-19 from influenza. KEY POINTS: • Typical CT features of COVID-19 include pure ground-glass opacities (GGO), GGO with consolidation, rounded opacities, bronchiolar wall thickening, interlobular septal thickening, and a peripheral distribution. • Presence of rounded opacities and interlobular septal thickening, with the absence of nodules and tree-in-bud sign, and with the typical peripheral distribution, may help us differentiate COVID-19 from influenza.
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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.