ArticleRadiology. Cardiothoracic imaging2020
Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance Study.
Article in Radiology. Cardiothoracic imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- 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
- Agreement between emergency medicine residents and radiologists in RSNA-Based chest CT interpretation.Emergency radiology · 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
- Association of chest computed tomography severity score at ICU admission and respiratory outcomes in critically ill COVID-19 patients.PloS one · 2024Article
- Omicron variant and pulmonary involvements: a chest imaging analysis in asymptomatic and mild COVID-19.Frontiers in public health · 2024Article
- Diagnostic Performance of the Radiological Society of North America Consensus Statement for Reporting COVID-19 Chest CT Findings: A Revisit.Journal of clinical medicine · 2023Article
- Review
- Article
- Handheld Lung Ultrasound to Detect COVID-19 Pneumonia in Inpatients: A Prospective Cohort Study.POCUS journal · 2023Article
- The role of chest imaging in the diagnosis, management, and monitoring of coronavirus disease 2019 (COVID-19).Insights into imaging · 2021Review
- CT Examinations for COVID-19: A Systematic Review of Protocols, Radiation Dose, and Numbers Needed to Diagnose and Predict.Taehan Yongsang Uihakhoe chi · 2021Article
- Diagnostic performance of Radiological Society of North America structured reporting language for chest computed tomography findings in patients with COVID-19.Japanese journal of radiology · 2021Article
- Diagnostic prediction of COVID-19 based on clinical and radiological findings in a relatively low COVID-19 prevalence area.Respiratory investigation · 2021Article
- Pulmonary embolism severity before and during the COVID-19 pandemic.The British journal of radiology · 2021Article
- Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroids.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious DiseasesArticle
- Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population.Clinics (Sao Paulo, Brazil)Article
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRSNA expert consensus guidelines provide a framework for reporting CT findings related to COVID-19, but have had limited multireader validation. PURPOSE: To assess the performance of the RSNA guidelines and quantify interobserver variability in application of the guidelines in patients undergoing chest CT for suspected COVID-19 pneumonia. MATERIALS AND
methodsA retrospective search from 1/15/20 to 3/30/20 identified 89 consecutive CT scans whose radiological report mentioned COVID-19. One positive or two negative RT-PCR tests for COVID-19 were considered the gold standard for diagnosis. Each chest CT scan was evaluated using RSNA guidelines by 9 readers (6 fellowship trained thoracic radiologists and 3 radiology resident trainees). Clinical information was obtained from the electronic medical record.
resultsThere was strong concordance of findings between radiology training levels with agreement ranging from 60 to 86% among attendings and trainees (kappa 0.43 to 0.86). Sensitivity and specificity of "typical" CT findings for COVID-19 per the RSNA guidelines were on average 86% (range 72%-94%) and 80.2% (range 75-93%), respectively. Combined "typical" and "indeterminate" findings had a sensitivity of 97.5% (range 94-100%) and specificity of 54.7% (range 37-62%). A total of 163 disagreements were seen out of 801 observations (79.6% total agreement). Uncertainty in classification primarily derived from difficulty in ascertaining peripheral distribution, multiple dominant disease processes, or minimal disease.
conclusionThe "typical appearance" category for COVID-19 CT reporting has an average sensitivity of 86% and specificity rate of 80%. There is reasonable interreader agreement and good reproducibility across various levels of experience.
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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.