ArticleJournal of X-ray science and technology2020
Clinical and computed tomographic (CT) images characteristics in the patients with COVID-19 infection: What should radiologists need to know?
Article in Journal of X-ray science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 6 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 6 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Central nervous system manifestations in COVID-19 patients: A systematic review and meta-analysis.Brain and behavior · 2021Pooled it
- Chest CT findings of coronavirus disease 2019 (COVID-19): A comprehensive meta-analysis of 9907 confirmed patients.Clinical imaging · 2021Pooled it
- A meta-analysis of accuracy and sensitivity of chest CT and RT-PCR in COVID-19 diagnosis.Scientific reports · 2020Pooled it
- Systematic review with meta-analysis: liver manifestations and outcomes in COVID-19.Alimentary pharmacology & therapeutics · 2020Pooled it
- Global prevalence and pathogenesis of headache in COVID-19: A systematic review and meta-analysis.F1000Research · 2020Pooled it
- Neurological and Musculoskeletal Features of COVID-19: A Systematic Review and Meta-Analysis.Frontiers in neurology · 2020Pooled it
- A deep transfer learning approach for COVID-19 detection and exploring a sense of belonging with Diabetes.Frontiers in public health · 2023Article
- Medical imaging and computational image analysis in COVID-19 diagnosis: A review.Computers in biology and medicine · 2021Review
- Diffuse interstitial pneumonia-like/macrophage activation syndrome-like changes in patients with COVID-19 correlate with length of illness.Annals of diagnostic pathology · 2021Article
- Mediastinal lymphadenopathy in COVID-19: A review of literature.World journal of clinical cases · 2021Review
- Clinical and CT features of mild-to-moderate COVID-19 cases after two sequential negative nucleic acid testing results: a retrospective analysis.BMC infectious diseases · 2021Article
- Developing a Training Web Application for Improving the COVID-19 Diagnostic Accuracy on Chest X-ray.Journal of digital imaging · 2021Article
- Clinical Symptoms and Types of Samples Are Critical Factors for the Molecular Diagnosis of Symptomatic COVID-19 Patients: A Systematic Literature Review.International journal of microbiology · 2021Review
- XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks.New generation computing · 2021Article
- Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.Journal of X-ray science and technology · 2021Article
- Chest Computed Tomography findings in patients with corona virus disease 2019 (COVID-19): An initial experience in three centres in Ghana, West Africa.Journal of medical imaging and radiation sciences · 2020Article
- Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.International journal of medical informatics · 2020Article
- CT scan chest findings in symptomatic COVID-19 patients: a reliable alternative for diagnosis.Ghana medical journal · 2020Article
- MinIP technique may be helpful in diagnosing COVID-19.Diagnostic and interventional radiology (Ankara, Turkey) · 2020Article
- Pulmonary vascular enlargement on thoracic CT for diagnosis and differential diagnosis of COVID-19: a systematic review and meta-analysis.Annals of translational medicine · 2020Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the clinical and computed tomographic (CT) features in the patients with COVID-19 pneumonia confirmed by the real-time reverse transcriptase polymerase chain reaction (rRT-PCR) amplification of the viral DNA from a sputum sample. MATERIAL AND
methodsClinical information and CT findings of a total of 14 patients with COVID-19 infection (age range, 12-83 years; females 6) were analyzed retrospectively. The clinical information includes the history of exposure, laboratory results, and the symptoms (such as fever, cough, headache, etc.); CT findings of chest include the extension and distribution of lesion, the ground-glass opacity (GGO), consolidation, bronchovascular enlarged, irregular linear appearances, pleural effusion, and lymphadenopathy.
resultsEight patients had the exposure history for recent travel to Wuhan of Hubei province (8/14, 57%), 6 had the exposure to patients with COVID-19 infection. Significant statistical differences were observed in lymphocyte percentage decreased and C-reactive protein elevated (p = 0.015). Seven patients had fever, 7 had cough, 2 had headache, 3 had fatigue, 1 had body soreness, 3 had diarrhea, and 2 had no obvious symptoms. In chest CT examination, 10 patients were positive (10/14, 71.43%). Among these patients, 9 had lesions involving both lungs (9/10, 90%), 8 had lesions involving 4 to 5 lobes (8/10, 80%). Most of lesions were distributed peripherally and the most significant lesions were observed in the right lower lobe in 9 patients (9/10, 90%). Nodules were observed in 5 patients (5/10, 50%); GGO, consolidation, and bronchovascular enlarged were shown in 9 patients (9/10, 90%); irregular linear appearances were revealed in 7 patients (7/10, 70%); and pleural effusions were exhibited in 2 patients (2/10, 20%). Last, no patients showed lymphadenopathy.
conclusionThere were some typical CT features for diagnosis of COVID-19 pneumonia. The radiologists should know these CT findings and clinical information, which could help for accurate analysis in the patients with 2019 novel coronavirus infection.
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