CoChat
Sign Up
Cited by 1,101COVID-19 Clinical Research StudiesCOVID-19 diagnosis using AIUltrasound in Clinical Applications

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society

Open access
Rubin, Geoffrey D., Ryerson, Christopher J., Haramati, Linda B., Sverzellati, Nicola, Kanne, Jeffrey P., Raoof, Suhail, Schluger, Neil W., Volpi, Annalisa, Yim, Jae-Joon, Martin, Ian B. K., Anderson, Deverick J., Kong, Christina, Altes, Talissa, Bush, Andrew, Desai, Sujal R., Goldin, onathan, Goo, Jin Mo, Humbert, Marc, Inoue, Yoshikazu, Kauczor, Hans-Ulrich, Luo, Fengming, Mazzone, Peter J., Prokop, Mathias, Remy-Jardin, Martine, Richeldi, Luca, Schaefer-Prokop, Cornelia M., Tomiyama, Noriyuki, Wells, Athol U., Leung, Ann N.·2020·Radiology
DOI 10.1148/radiol.2020201365PMC PMC7233395
Open this paper in CoChat — free account

Abstract

With more than 900 000 confirmed cases worldwide and nearly 50 000 deaths during the first 3 months of 2020, the coronavirus disease 2019 (COVID-19) pandemic has emerged as an unprecedented health care crisis. The spread of COVID-19 has been heterogeneous, resulting in some regions having sporadic transmission and relatively few hospitalized patients with COVID-19 and others having community transmission that has led to overwhelming numbers of severe cases. For these regions, health care delivery has been disrupted and compromised by critical resource constraints in diagnostic testing, hospital beds, ventilators, and health care workers who have fallen ill to the virus exacerbated by shortages of personal protective equipment. Although mild cases mimic common upper respiratory viral infections, respiratory dysfunction becomes the principal source of morbidity and mortality as the disease advances. Thoracic imaging with chest radiography and CT are key tools for pulmonary disease diagnosis and management, but their role in the management of COVID-19 has not been considered within the multivariable context of the severity of respiratory disease, pretest probability, risk factors for disease progression, and critical resource constraints. To address this deficit, a multidisciplinary panel comprised principally of radiologists and pulmonologists from 10 countries with experience managing patients with COVID-19 across a spectrum of health care environments evaluated the utility of imaging within three scenarios representing varying risk factors, community conditions, and resource constraints. Fourteen key questions, corresponding to 11 decision points within the three scenarios and three additional clinical situations, were rated by the panel based on the anticipated value of the information that thoracic imaging would be expected to provide. The results were aggregated, resulting in five main and three additional recommendations intended to guide medical practitioners in the use of chest radiography and CT in the management of COVID-19.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1148/radiol.2020201365

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 25 references

Research works printed but not linked: 6

  1. Centers for Disease Control and Prevention, Coronavirus Disease 2019 (COVID-19) Interim Infection Prevention and Control Recommendations
  2. Orsi MA, 2020, Radiology, 201214
  3. World Health Organization, Critical preparedness, readiness and response actions for COVID-19
  4. Centers for Disease Control and Prevention, Coronavirus Disease 2019 (COVID-19) Public Health Recommendations for Community-Related Exposure
  5. Centers for Disease Control and Prevention. Interim U.S, Guidance for Risk Assessment and Public Health Management of Healthcare Personnel with Potential Exposure in a Healthcare Setting to Patients with Coronavirus Disease (COVID-19)
  6. Nishiura H, 2020, Int J Infect Dis

Cited by

Sorted by citations

Items 601–700 of 1,000

Related

See all

Metadata

Authors
Rubin, G. D., Ryerson, C. J., Haramati, L. B., Sverzellati, N., Kanne, J. P., Raoof, S., Schluger, N. W., Volpi, A., Yim, J.-J., Martin, I. B. K., Anderson, D. J., Kong, C., Altes, T., Bush, A., Desai, S. R., Goldin, O., Goo, J. M., Humbert, M., Inoue, Y., Kauczor, H.-U., Luo, F., Mazzone, P. J., Prokop, M., Remy-Jardin, M., Richeldi, L., Schaefer-Prokop, C. M., Tomiyama, N., Wells, A. U., & Leung, A. N.
Affiliations
  • University of Parma (IT)
  • Università Cattolica del Sacro Cuore (IT)
Corresponding author
Rubin, Geoffrey D.
ORCID
Venue
Radiology
Publisher
Radiological Society of North America (RSNA)
Published
2020-07
Volume
296
Issue
1
Pages
172-180
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
DOI
10.1148/radiol.2020201365
PMC
PMC7233395
OpenAlex
W4230649743
Cited by
1,101
References
25
Citations by year
2026: 17 · 2025: 35 · 2024: 76 · 2023: 123 · 2022: 189 · 2021: 330 · 2020: 328
FWCI
31.82
Type
journal article
Language
en
Open access
Locations
  • Radiology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by)
  • Radboud Repository (Radboud University) (submittedVersion)
  • Seoul National University Open Repository (Seoul National University) (submittedVersion)
  • Spiral (Imperial College London) (submittedVersion)
Topics
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
  • Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Ultrasound in Clinical Applications
Keywords
COVID-19 pandemic, chest imaging, chest radiography, computed tomography, clinical management, diagnostic decision-making, clinical guidelines, community transmission, disease severity, risk factors for progression
MeSH terms
Personal Protective Equipment, Betacoronavirus, COVID-19, SARS-CoV-2, Humans, Pneumonia, Viral, Severity of Illness Index, Societies, Medical, Radiography, Thoracic, Triage, Video Recording, Global Health, Coronavirus Infections, Disease Progression, Guideline Adherence, Consensus, Pandemics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review