ArticleJapanese journal of radiology2021
Pulmonary vascular enlargement and lesion extent on computed tomography are correlated with COVID-19 disease severity.
Article in Japanese journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Differences in chest imaging between Omicron and non-Omicron coronavirus disease 2019 (COVID-19) patients: a systematic review and meta-analysis.BMC infectious diseases · 2025Pooled it
- Revisiting the monocrotaline-treated rat as a model of inflammatory lung disease: COVID-19 and future pandemic threats?Animal models and experimental medicine · 2025Review
- Diagnostic utility of chest wall vessel involvement sign on ultra-high-resolution CT for primary lung cancer infiltrating the chest wall.European radiology · 2025Article
- Interstitial lung disease associated with anti-aminoacyl-tRNA synthetase syndrome: quantitative evaluation of CT after initial treatment and long-term follow-up.Acta radiologica (Stockholm, Sweden : 1987) · 2024Article
- Fairness of artificial intelligence in healthcare: review and recommendations.Japanese journal of radiology · 2024Review
- 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
- Sialylated Glycan Bindings from SARS-CoV-2 Spike Protein to Blood and Endothelial Cells Govern the Severe Morbidities of COVID-19.International journal of molecular sciences · 2023Review
- New trend in artificial intelligence-based assistive technology for thoracic imaging.La Radiologia medica · 2023Review
- Quantitative Analysis for Lung Disease on Thin-Section CT.Diagnostics (Basel, Switzerland) · 2023Review
- Quantitative analysis of chest computed tomography of COVID-19 pneumonia using a software widely used in Japan.PloS one · 2023Article
- SARS-CoV-2 Spike Protein Induces Hemagglutination: Implications for COVID-19 Morbidities and Therapeutics and for Vaccine Adverse Effects.International journal of molecular sciences · 2022Article
- Effects of Automatic Deep-Learning-Based Lung Analysis on Quantification of Interstitial Lung Disease: Correlation with Pulmonary Function Test Results and Prognosis.Diagnostics (Basel, Switzerland) · 2022Article
- Serum gasdermin D levels are associated with the chest computed tomography findings and severity of COVID-19.Respiratory investigation · 2022Article
- Acute Pulmonary Embolism in COVID-19: A Potential Connection between Venous Congestion and Thrombus Distribution.Biomedicines · 2022Article
- Imaging of COVID-19: An update of current evidences.Diagnostic and interventional imaging · 2021Review
- Negative effects of iodine-based contrast agent on renal function in patients with moderate reduced renal function hospitalized for COVID-19.BMC nephrology · 2021Article
- Case Studies in Physiology: Temporal variations of the lung parenchyma and vasculature in asymptomatic COVID-19 pneumonia: a multispectral CT assessment.Journal of applied physiology (Bethesda, Md. : 1985) · 2021Article
- Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features.Journal of personalized medicine · 2021Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo assess the relationships among pulmonary vascular enlargement, computed tomography (CT) findings quantified with software, and coronavirus disease (COVID-19) severity. MATERIALS AND
methodsUltra-high-resolution (UHR) CT images of 87 patients (50 males, 37 females; median age, 63 years) with COVID-19 confirmed using real-time polymerase chain reaction were analyzed. The maximum subsegmental vascular diameter was measured on CT. Total CT lung volume (CTLV total) and lesion extent (ratio of lesion volume to CTLV total) of ground-glass opacities, reticulation, and consolidation were measured using software. Maximum pulmonary vascular diameter and lesion extent were analyzed using Spearman's correlation analysis. Logistic regression analysis was performed on CT results to predict disease severity. We also assessed changes in these measures on follow-up scans in 16 patients.
resultsAll 23 patients with severe and critical illness had vascular enlargement (> 4 mm). Pulmonary vascular enlargement (odds ratio 3.05, p = 0.018) and CT lesion extent (odds ratio 1.07, p = 0.002) were independent predictors of disease severity after adjustment for age and comorbidities. On follow-up CT, vascular diameter and CT lesion volume decreased (p = 0.001, p = 0.002; respectively), but CTLV total did not change significantly.
conclusionSubsegmental vascular enlargement is a notable finding to predict acute COVID-19 disease severity.
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