ReviewChest2021
The Usefulness of Chest CT Imaging in Patients With Suspected or Diagnosed COVID-19: A Review of Literature.
Review in Chest, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 90 citations in OpenAlex.
- Computed tomography severity score as a predictor of disease severity and mortality in COVID-19 patients: A systematic review and meta-analysis.Journal of medical imaging and radiation sciences · 2023Pooled it
- 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
- An efficient dual path deep learning framework for COVID-19 classification using lung CT scans with explainable AI.Scientific reports · 2026Article
- Artificial intelligence model outperformed experienced clinicians in differentiating the aetiology of pneumonia on chest computed tomography: a retrospective study.Quantitative imaging in medicine and surgery · 2026Article
- Unveiling the Link Between COVID-19 and Pulmonary Hypertension.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026Review
- Clinical evaluation of motion robust reconstruction using deep learning in lung CT.Physical and engineering sciences in medicine · 2025Article
- Contribution of lung ultrasound to assess COVID-19 pneumonia in critical care setting: a prospective cohort study.Scientific reports · 2025Article
- Comparison of the Degree of Chest CT Scan Abnormalities in COVID-19 and Influenza Patients.Cureus · 2024Article
- Trends in CT examination utilization in the emergency department during and after the COVID-19 pandemic.BMC medical imaging · 2024Article
- Association between sore throat and early immune responses against COVID-19 before and after the emergence of the Omicron variant.Annals of translational medicine · 2024Article
- From symptom onset to ED departure: understanding the acute care chain for patients with undifferentiated complaints: a prospective observational study.International journal of emergency medicine · 2024Article
- Lung abnormalities on computed tomography of Vietnamese patients with COVID-19 and the association with medical variables.IJID regions · 2024Article
- The Clinical Analysis of Checkpoint Inhibitor Pneumonitis with Different Severities in Lung Cancer Patients: A Retrospective Study.Journal of clinical medicine · 2024Article
- Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography - a multicenter retrospective cohort study in Japan.Respiratory research · 2023Article
- Minimally Invasive Tissue Sampling via Post Mortem Ultrasound: A Feasible Tool (Not Only) in Infectious Diseases-A Case Report.Diagnostics (Basel, Switzerland) · 2023Article
- COVID-19 progression in hospitalized patients using follow-upJournal of thoracic disease · 2023Article
- Association of subpleural ground-glass opacities with respiratory failure and RNAemia in COVID-19.European radiology · 2023Observational
- Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19.Scientific reports · 2023Article
- Dominant CT Patterns and Immune Responses during the Early Infection Phases of Different SARS-CoV-2 Variants.Viruses · 2023Observational
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has had devastating medical and economic consequences globally. The severity of COVID-19 is related, in a large measure, to the extent of pulmonary involvement. The role of chest CT imaging in the management of patients with COVID-19 has evolved since the onset of the pandemic. Specifically, the description of CT scan findings, use of chest CT imaging in various acute and subacute settings, and its usefulness in predicting chronic disease have been defined better. We performed a review of published data on CT scans in patients with COVID-19. A summary of the range of imaging findings, from typical to less common abnormalities, is provided. Familiarity with these findings may facilitate the diagnosis and management of this disease. A comparison of sensitivity and specificity of chest CT imaging with reverse-transcriptase polymerase chain reaction testing highlights the potential role of CT imaging in difficult-to-diagnose cases of COVID-19. The usefulness of CT imaging to assess prognosis, to guide management, and to identify acute pulmonary complications associated with SARS-CoV-2 infection is highlighted. Beyond the acute stage, it is important for clinicians to recognize pulmonary parenchymal abnormalities, progressive fibrotic lung disease, and vascular changes that may be responsible for persistent respiratory symptoms. A large collection of multi-institutional images were included to elucidate the CT scan findings described.
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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.