ReviewThe British journal of radiology2020
Imaging of COVID-19 pneumonia: Patterns, pathogenesis, and advances.
Review in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021Pooled it
- Impact of COVID-19 Pneumonia on Chest Computed Tomography Scan and Spirometry During Six Months.Medical journal of the Islamic Republic of Iran · 2025Article
- Lung abnormalities on computed tomography of Vietnamese patients with COVID-19 and the association with medical variables.IJID regions · 2024Article
- Role of Imaging in Diagnosis and Management of COVID-19: Evidence-Based Approaches.Advances in experimental medicine and biology · 2024Review
- Interest of Chest CT to Assess the Prognosis of SARS-CoV-2 Pneumonia: An In-Hospital-Based Experience in Sub-Saharan Africa.Pulmonary medicine · 2024Article
- Review
- Changing Features of Liver Injury in COVID-19 Patients: Impact of Infection with the SARS-CoV-2 Delta (B.1.617.2) Variants.Infection & chemotherapy · 2022Article
- Respiratory function and CT abnormalities among survivors of COVID-19 pneumonia: a nationwide follow-up study.BMJ open respiratory research · 2022Article
- Propofol infusion syndrome & COVID-19 in a victim of multiple gunshot wounds: Diagnostic and therapeutic dilemmas.Trauma case reports · 2022Article
- Quantitative Chest CT Assessment of Small Airways Disease in Post-Acute SARS-CoV-2 Infection.Radiology · 2022Article
- Effect of vaccination on the HRCT profile of COVID-19 patients - A single-center experience.Journal of family medicine and primary care · 2022Article
- Artificial Intelligence for COVID-19 Detection in Medical Imaging-Diagnostic Measures and Wasting-A Systematic Umbrella Review.Journal of clinical medicine · 2022Review
- Article
- Subclinical Pulmonary Congestion and Abnormal Hemodynamics in Heart Failure With Preserved Ejection Fraction.JACC. Cardiovascular imaging · 2022Article
- Spectrum of Typical and Atypical Pulmonary CT Imaging Findings of COVID-19 Infection: A Retrospective Study.Cureus · 2022Article
- Article
- Roborovski hamsterVirulence · 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
- COVID-19 imaging: Diagnostic approaches, challenges, and evolving advances.World journal of radiology · 2021Review
- CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
COVID-19 pneumonia is a newly recognized lung infection. Initially, CT imaging was demonstrated to be one of the most sensitive tests for the detection of infection. Currently, with broader availability of polymerase chain reaction for disease diagnosis, CT is mainly used for the identification of complications and other defined clinical indications in hospitalized patients. Nonetheless, radiologists are interpreting lung imaging in unsuspected patients as well as in suspected patients with imaging obtained to rule out other relevant clinical indications. The knowledge of pathological findings is also crucial for imagers to better interpret various imaging findings. Identification of the imaging findings that are commonly seen with the disease is important to diagnose and suggest confirmatory testing in unsuspected cases. Proper precautionary measures will be important in such unsuspected patients to prevent further spread. In addition to understanding the imaging findings for the diagnosis of the disease, it is important to understand the growing set of tools provided by artificial intelligence. The goal of this review is to highlight common imaging findings using illustrative examples, describe the evolution of disease over time, discuss differences in imaging appearance of adult and pediatric patients and review the available literature on quantitative CT for COVID-19. We briefly address the known pathological findings of the COVID-19 lung disease that may help better understand the imaging appearance, and we provide a demonstration of novel display methodologies and artificial intelligence applications serving to support clinical observations.
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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.