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The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society
Open accessAbstract
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.
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“CXR was selected as the imaging input because it is widely available and commonly indicated by guidelines”
From Federated learning for predicting clinical outcomes in patients with COVID-19 (2021) · cites this paper as [23]
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Aiello, M., Baldi, D., Esposito, G., Valentino, M., Randon, M., Salvatore, M., & Cavaliere, C. (2022) · Dose-Response · doi:10.1177/15593258221082896 · Cited by 7
Pulmonary CT findings in Patients Recovered from COVID-19 Pneumonia
Fadhil, S. A., & Abdulghani, M. (2022) · AL-Kindy College Medical Journal · doi:10.47723/kcmj.v18i3.828 · Cited by 7
Arias-Londoño, J. D., Moure-Prado, Á., & Godino-Llorente, J. I. (2023) · Diagnostics · doi:10.3390/diagnostics13081381 · Cited by 7
Bagnera, S., Bisanti, F., Tibaldi, C., Pasquino, M., Berrino, G., Ferraro, R., & Patania, S. (2020) · Journal of Clinical Imaging Science · doi:10.25259/jcis_76_2020 · Cited by 7
Covid-19 Diagnosis Based on CT Images Using Pre-Trained Models
Almourish, M. H., Saif, A. A., Radman, B. M. N., & Saeed, A. Y. A. (2021) · International Conference of Technology, Science and Administration (ICTSA) · doi:10.1109/ictsa52017.2021.9406553 · Cited by 7
Chest computed tomography as a primary tool in COVID-19 detection: an update meta-analysis
Pang, C., Hou, Q., Yang, Z., & Liwei, R. (2021) · Clinical and Translational Imaging · doi:10.1007/s40336-021-00434-z · Cited by 8
Highlighting COVID-19: What the imaging exams show about the disease
de Carvalho, L. S., Júnior, R. T. D. S., Oliveira, B. V. S., de Miranda, Y. S., Rebouças, N. L. F., Loureiro, M. S., Pinheiro, S. L. R., da Silva, R. S., Correia, P. V. S. L. M., Silva, M. J. S., et al. (2021) · World Journal of Radiology · doi:10.4329/wjr.v13.i5.122 · Cited by 7
Predictors of intubation and mortality in COVID-19 patients: a retrospective study
Cena, T., Cammarota, G., Azzolina, D., Barini, M., Bazzano, S., Zagaria, D., Negroni, D., Castello, L. M., Carriero, A., Corte, F. D., et al. (2021) · Journal of Anesthesia Analgesia and Critical Care · doi:10.1186/s44158-021-00016-5 · Cited by 7
da Silva, P. S. D., Sawamura, M. V. Y., Monteiro, R. A. D. A., Duarte‐Neto, A. N., Martin, M. D. G. M., Dolhnikoff, M., Mauad, T., Saldiva, P. H. N., Leite, C. D. C., da Silva, L. F. F., et al. (2021) · Clinics · doi:10.6061/clinics/2021/e3551 · Cited by 7
Sinitsyn, V. E., Тюрин, И. Е., & Mitkov, V. V. (2020) · Ultrasound & Functional Diagnostics · doi:10.24835/1607-0771-2020-1-78-102 · Cited by 7
A Light Deep Learning Algorithm for CT Diagnosis of COVID-19 Pneumonia
Furtado, A. N., da Purificação, C. A. C., Badaró, R. J. D. S., & Nascimento, E. G. S. (2022) · Diagnostics · doi:10.3390/diagnostics12071527 · Cited by 7
Maino, C., Franco, P. N., Franzesi, C. T., Giandola, T. P., Ragusi, M., Corso, R., & Ippolito, D. (2023) · Diagnostics · doi:10.3390/diagnostics13111856 · Cited by 7
Schaudt, D., von Schwerin, R., Hafner, A., Riedel, P., Späte, C., Reichert, M., Hinteregger, A., Beer, M., & Kloth, C. (2023) · Scientific Reports · doi:10.1038/s41598-023-36148-7 · Cited by 7
Radiological findings of COVID-19 pneumonia
Savaş, R., & Ceylan, N. (2020) · Eurasian Journal of Pulmonology · doi:10.4103/ejop.ejop_41_20 · Cited by 7
Liu, H., Luo, S., Zhang, Y., Jiang, Y., Jiang, Y., Wang, Y., Li, H., Huang, C.-Y., Zhang, S., Li, X., et al. (2020) · Infectious Diseases and Therapy · doi:10.1007/s40121-020-00352-z · Cited by 7
Gestión de la pandemia. Visión del radiólogo
Valdés, P., Rovira, À., Guerrero, J., Rodriguez-Morales, A. J., Rovira, M., & Martínez, C. (2020) · Radiología · doi:10.1016/j.rx.2020.10.004 · Cited by 7
Should CT be used for the diagnosis of RT‐PCR‐negative suspected COVID‐19 patients?
Rona, G., Arifoğlu, M., Voyvoda, N., & Batırel, A. A. (2021) · The Clinical Respiratory Journal · doi:10.1111/crj.13332 · Cited by 7
Asadi, F., Shahnazari, R., Bhalla, N., & Payam, A. F. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.04.058 · Cited by 7
Juengling, F. D., Maldonado, A., Wuest, F. R., & Schindler, T. H. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.568959 · Cited by 7
The Role of Medical Imaging in COVID-19
Sotoudeh, H., & Gity, M. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-63761-3_24 · Cited by 7
Digital Tomosynthesis and COVID-19: An improvement in the assessment of pulmonary opacities
Calvo, I., Calvo, S. S.-C., Aranzana, M. G., Mármol, P., Luque, J. Á., Peral, I., Quijada, E. M., Gómez, C., Borrego, C., & Marín, J. (2020) · Archivos de Bronconeumología · doi:10.1016/j.arbr.2020.06.005 · Cited by 7
Respiratory consequences after COVID-19: outcome and treatment
Molina‐Molina, M., & Hernandez-Argudo, M. (2022) · Revista Española de Quimioterapia · doi:10.37201/req/s01.16.2022 · Cited by 7
A comparison of Covid-19 early detection between convolutional neural networks and radiologists
Albiol, A., Albiol, F., Paredes, R., Plasencia-Martínez, J. M., Barrio, A. B., Santos, J. M. G., Tortajada, S., Montaño, V. M. G., Godoy, C. R., Gómez, S. F., et al. (2022) · Insights into Imaging · doi:10.1186/s13244-022-01250-3 · Cited by 9
Chen, L., Wang, Q., Wu, H., Hu, J., & Zhang, J. (2020) · Radiation Protection Dosimetry · doi:10.1093/rpd/ncaa106 · Cited by 7
Radiology imaging management in an Italian cancer center (IRST IRCCS) during the COVID-19 pandemic
Rossi, A., Iamurri, A. P., Cerchione, C., Gentili, N., Danesi, V., Altini, M., Paganelli, G., & Barone, D. (2020) · Insights into Imaging · doi:10.1186/s13244-020-00935-x · Cited by 7
Top Publications in Radiology, 2020
Bluemke, D. A. (2020) · Radiology · doi:10.1148/radiol.2020209016 · Cited by 7
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
- Rubin, Geoffrey D.
- Ryerson, Christopher J.
- Haramati, Linda B.
- Sverzellati, Nicola
- Kanne, Jeffrey P.
- Schluger, Neil W.
- Volpi, Annalisa
- Yim, Jae-Joon
- Anderson, Deverick J.
- Kong, Christina
- Altes, Talissa
- Bush, Andrew
- Desai, Sujal R.
- Goo, Jin Mo
- Humbert, Marc
- Inoue, Yoshikazu
- Kauczor, Hans-Ulrich
- Luo, Fengming
- Mazzone, Peter J.
- Prokop, Mathias
- Richeldi, Luca
- Tomiyama, Noriyuki
- Wells, Athol U.
- Leung, Ann N.
- Venue
- Radiology
- Published
- 2020-07
- Volume
- 296
- Issue
- 1
- Pages
- 172-180
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- 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
- green
- www.ncbi.nlm.nih.gov
- 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
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