GuidelineJournal of thoracic imaging2020
Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication.
Guideline in Journal of thoracic imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04479319 (Developing Hybrid Decision Support System Algorithm for COVID-19 Diagnosis Between RT-PCR Graphics and Thorax CT Images Using Deep Learning), which is not on this map. Cited by 386 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.
Developing Hybrid Decision Support System Algorithm for COVID-19 Diagnosis Between RT-PCR Graphics and Thorax CT Images Using Deep Learning
Who cites it
386 citing papers in PubMed, 1 synthesis or guideline pooled it, 792 citations in OpenAlex.
- Radiologic Abnormalities in Prolonged SARS-CoV-2 Infection: A Systematic Review.Korean journal of radiology · 2024Pooled it
- Imaging findings of diabetic complications from head to toe: a comprehensive radiologic review.Japanese journal of radiology · 2026Review
- Association of laboratory and radiological findings during hospitalization with early post-COVID pulmonary function and exercise capacity: a retrospective study.BMC pulmonary medicine · 2026Article
- Admission Electrolyte Abnormalities and Clinical Outcomes in Hospitalized COVID-19 Patients.Medicina (Kaunas, Lithuania) · 2026Article
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- Article
- A Scoping Review Protocol of Lung Ultrasound in Pediatric COVID-19: Clinical Utility and Lessons for Future Pandemics.Health science reports · 2026Article
- A retrospective multicentre review of the efficiency of the novel coronavirus emergency operating theatre.Singapore medical journal · 2026Article
- Integrated Analysis of Parenchymal and Vascular HRCT Patterns with Circulating Biomarkers in Severe COVID-19 Pneumonia.Diagnostics (Basel, Switzerland) · 2026Article
- Integrating Radiology & Clinical Decision Support to Drive Management of Emergency Department Patients in a Large Academic Medical Center.Journal of imaging informatics in medicine · 2026Article
- Utilizing CT chest imaging for the diagnosis and monitoring of COVID infections and emergency intensive care unit strategic treatment.Frontiers in medicine · 2026Article
- Clinical Relevance and Follow-Up of Incidental CT Imaging Findings for COVID-19 Diagnosis: A Retrospective Analysis.Diagnostics (Basel, Switzerland) · 2025Article
- Chronic Dyspnea and Residual Pulmonary Vascular Sequelae After COVID-19 Pulmonary Embolism: A Retrospective Analysis.Pulmonary circulation · 2025Article
- Artificial Intelligence-guided Total Opacity Scores and Obstructive Sleep Apnea in Adults with COVID-19 PneumoniaThoracic research and practice · 2025Article
- Attributes and factors associated with long covid in patients hospitalized for acute COVID-19: A retrospective cohort study.PloS one · 2025Article
- A Single-center Experience With >200 Lung Transplant Recipients With COVID-19 Infection.Transplantation direct · 2024Article
- [Correlation between comorbidities and thoracic CT manifestations of COVID-19 pneumonia].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2024Article
- Postmortem chest computed tomography in COVID-19: A minimally invasive autopsy method.European journal of radiology open · 2024Article
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- Machine learning-based computer-aided simple triage (CAST) for COVID-19 pneumonia as compared with triage by board-certified chest radiologists.Japanese journal of radiology · 2024Article
326 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 9 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Routine screening CT for the identification of COVID-19 pneumonia is currently not recommended by most radiology societies. However, the number of CTs performed in persons under investigation (PUI) for COVID-19 has increased. We also anticipate that some patients will have incidentally detected findings that could be attributable to COVID-19 pneumonia, requiring radiologists to decide whether or not to mention COVID-19 specifically as a differential diagnostic possibility. We aim to provide guidance to radiologists in reporting CT findings potentially attributable to COVID-19 pneumonia, including standardized language to reduce reporting variability when addressing the possibility of COVID-19. When typical or indeterminate features of COVID-19 pneumonia are present in endemic areas as an incidental finding, we recommend contacting the referring providers to discuss the likelihood of viral infection. These incidental findings do not necessarily need to be reported as COVID-19 pneumonia. In this setting, using the term "viral pneumonia" can be a reasonable and inclusive alternative. However, if one opts to use the term "COVID-19" in the incidental setting, consider the provided standardized reporting language. In addition, practice patterns may vary, and this document is meant to serve as a guide. Consultation with clinical colleagues at each institution is suggested to establish a consensus reporting approach. The goal of this expert consensus is to help radiologists recognize findings of COVID-19 pneumonia and aid their communication with other healthcare providers, assisting management of patients during this pandemic.
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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.