The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA
Open accessAbstract
Routine screening CT for the identification of coronavirus disease 19 (COVID-19) pneumonia is currently not recommended by most radiology societies. However, the number of CT examinations performed in persons under investigation 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 health care providers, assisting management of patients during this pandemic. Published under a CC BY 4.0 license.
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Cites
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
Chung, M., Bernheim, A., Mei, X., Zhang, N., Huang, M., Zeng, X., Cui, J., Xu, W., Yang, Y., Fayad, Z. A., et al. (2020) · Radiology · doi:10.1148/radiol.2020200230 · Cited by 2,751
Self-citationXie, X., Zhong, Z., Zhao, W., Zheng, C., Wang, F., & Liu, J. (2020) · Radiology · doi:10.1148/radiol.2020200343 · Cited by 1,960
Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients
Salehi, S., Abedi, A., Balakrishnan, S., & Gholamrezanezhad, A. (2020) · American Journal of Roentgenology · doi:10.2214/ajr.20.23034 · Cited by 1,600
Research works printed but not linked: 29
- Naming the coronavirus disease (COVID-19) and the virus that causes it
- Gorbalenya AE, 2020, Nat Microbiol, 536
- 2020, WHO Director-General’s opening remarks at the media briefing on COVID-19 - March 11
- ACR Recommendations for the use of Chest Radiography and Computed Tomography (CT) for Suspected COVID-19 Infection
- Society of Thoracic Radiology/American Society of Emergency Radiology COVID-19 Position Statement
- 10.1148/ryct.2020200028 · DOI · Paper page
- 10.1148/radiol.2020200463 · DOI · Paper page
- 10.1148/radiol.2020200370 · DOI · Paper page
- 10.1148/radiol.2020200823 · DOI · Paper page
- 10.1148/radiol.11092149 · DOI · Paper page
- 10.1148/radiol.2020192585 · DOI
- 10.2214/ajr.175.4.1751019 · DOI
- 10.1148/radiol.2018181349 · DOI
- 10.1001/jama.2020.1585 · DOI · Paper page
- Coronavirus Disease 2019 (COVID-19): How It Spreads
- 10.1259/bjr.20120614 · doi:10.1259/bjr.20120614
- 10.1148/ryct.2020200034 · DOI · Paper page
- 10.1148/radiol.2020200843 · DOI · Paper page
- 10.1148/ryct.2020200075 · DOI · Paper page
- 10.1148/radiol.2020200274 · DOI · Paper page
- 10.1007/s00330-020-06801-0 · DOI · Paper page
- 10.1148/radiol.2020200642 · DOI · Paper page
- 10.1148/ryct.2020200092 · DOI
- 10.1148/ryct.2020200110 · DOI · Paper page
- 10.1148/radiol.2020200432 · DOI · Paper page
- 10.1080/22221751.2020.1745095 · DOI · Paper page
- 10.1001/jama.2020.3786 · DOI · Paper page
- Coronavirus Disease 2019 (COVID-19) Emergency Use Authorizations for Medical Devices
- 10.1148/radiol.2462070712 · DOI · Paper page
Cited by
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., et al. (2020) · Radiology · doi:10.1148/radiol.2020201365 · Cited by 1,101
Self-citationSyrian hamsters as a small animal model for SARS-CoV-2 infection and countermeasure development
Imai, M., Iwatsuki-Horimoto, K., Hatta, M., Loeber, S., Halfmann, P. J., Nakajima, N., Watanabe, T., Ujie, M., Takahashi, K., Ito, M., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2009799117 · Cited by 1,021
Well-aerated Lung on Admitting Chest CT to Predict Adverse Outcome in COVID-19 Pneumonia
Colombi, D., Bodini, F. C., Petrini, M., Maffi, G., Morelli, N., Milanese, G., Silva, M., Sverzellati, N., & Michieletti, E. (2020) · Radiology · doi:10.1148/radiol.2020201433 · Cited by 456
Hernández-Fernández, F., Sandoval Valencia, H., Barbella-Aponte, R. A., Collado-Jiménez, R., Ayo-Martín, Ó., Barrena, C., Molina-Nuevo, J. D., García-García, J., Lozano-Setién, E., Alcahut-Rodriguez, C., et al. (2020) · Brain · doi:10.1093/brain/awaa239 · Cited by 280
Ground-glass opacity (GGO): a review of the differential diagnosis in the era of COVID-19
Cozzi, D., Cavigli, E., Moroni, C., Smorchkova, O., Zantonelli, G., Pradella, S., & Miele, V. (2021) · Japanese Journal of Radiology · doi:10.1007/s11604-021-01120-w · Cited by 112
Metadata
- Authors
- Simpson, S., Kay, F. U., Abbara, S., Bhalla, S., Chung, J. H., Chung, M., Henry, T. S., Kanne, J. P., Kligerman, S., Ko, J. P., & Litt, H.
- Venue
- Radiology: Cardiothoracic Imaging
- Published
- 2020-04-01
- Volume
- 2
- Issue
- 2
- Pages
- e200152
- ISSN
- 2638-6135 (ISSN-L)
- OpenAlex
- W3117287302
- Cited by
- 752
- References
- 5
- FWCI
- 20.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Simpson, S., Kay, F. U., Abbara, S., Bhalla, S., Chung, J. H., Chung, M., Henry, T. S., Kanne, J. P., Kligerman, S., Ko, J. P., & Litt, H. (2020). Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA. Radiology: Cardiothoracic Imaging. https://doi.org/10.1148/ryct.2020200152
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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