The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Radiographic and CT Features of Viral Pneumonia
Abstract
Viruses are the most common causes of respiratory infection. The imaging findings of viral pneumonia are diverse and overlap with those of other nonviral infectious and inflammatory conditions. However, identification of the underlying viral pathogens may not always be easy. There are a number of indicators for identifying viral pathogens on the basis of imaging patterns, which are associated with the pathogenesis of viral infections. Viruses in the same viral family share a similar pathogenesis of pneumonia, and the imaging patterns have distinguishable characteristics. Although not all cases manifest with typical patterns, most typical imaging patterns of viral pneumonia can be classified according to viral families. Although a definite diagnosis cannot be achieved on the basis of imaging features alone, recognition of viral pneumonia patterns may aid in differentiating viral pathogens, thus reducing the use of antibiotics. Recently, new viruses associated with recent outbreaks including human metapneumovirus, severe acute respiratory syndrome coronavirus, and Middle East respiratory syndrome coronavirus have been discovered. The imaging findings of these emerging pathogens have been described in a few recent studies. This review focuses on the radiographic and computed tomographic patterns of viral pneumonia caused by different pathogens, including new pathogens. Clinical characteristics that could affect imaging, such as patient age and immune status, seasonal variation and community outbreaks, and pathogenesis, are also discussed. The first goal of this review is to indicate that there are imaging features that should raise the possibility of viral infections. Second, to help radiologists differentiate viral infections, viruses in the same viridae that have similar pathogenesis and can have similar imaging characteristics are shown. By considering both the clinical and radiologic characteristics, radiologists can suggest the diagnosis of viral pneumonia. ©RSNA, 2018 An earlier incorrect version of this article appeared online. This article was corrected on September 10, 2018.
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Angiotensin-converting enzyme 2 protects from severe acute lung failure
Imai, Y., Kuba, K., Rao, S., Huan, Y., Guo, F., Guan, B., Yang, P., Sarao, R., Wada, T., Leong-Poi, H., et al. (2005) · Nature · doi:10.1038/nature03712 · Cited by 2,453
The Pathology of Influenza Virus Infections
Taubenberger, J. K., & Morens, D. M. (2008) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev.pathmechdis.3.121806.154316 · Cited by 1,111
Nakajima, N., Sato, Y., Katano, H., Hasegawa, H., Kumasaka, T., Hata, S., Tanaka, S., Amano, T., Kasai, T., Chong, J.-M., et al. (2012) · Modern Pathology · doi:10.1038/modpathol.2011.125 · Cited by 95
Cited by
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
Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2
Xu, X., Yu, C., Qu, J., Zhang, L., Jiang, S., Huang, D., Chen, B., Zhang, Z., Guan, W., Ling, Z., et al. (2020) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-04735-9 · Cited by 788
Li, K., Fang, Y., Li, W., Pan, C., Qin, P., Zhong, Y., Liu, X., Huang, M., Liao, Y., & Li, S. (2020) · European Radiology · doi:10.1007/s00330-020-06817-6 · Cited by 722
Mahmud, T., Rahman, M. A., & Fattah, S. A. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103869 · Cited by 525
Metadata
- Authors
- Koo, H. J., Lim, S., Choe, J., Choi, S.-H., Sung, H., & Do, K.-H.
- Venue
- RadioGraphics
- Published
- 2018-05
- Volume
- 38
- Issue
- 3
- Pages
- 719-739
- ISSN
- 0271-5333 (ISSN-L)
- 1527-1323
- OpenAlex
- W2800783955
- Cited by
- 715
- References
- 3
- FWCI
- 77.22
- Type
- journal article
- Language
- en
- Open access
- closed
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