{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T20:27:10Z","timestamp":1783542430245,"version":"3.55.0"},"reference-count":81,"publisher":"Oxford University Press (OUP)","issue":"1113","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,1]]},"abstract":"<jats:p>COVID-19 pneumonia is a newly recognized lung infection. Initially, CT imaging was demonstrated to be one of the most sensitive tests for the detection of infection. Currently, with broader availability of polymerase chain reaction for disease diagnosis, CT is mainly used for the identification of complications and other defined clinical indications in hospitalized patients. Nonetheless, radiologists are interpreting lung imaging in unsuspected patients as well as in suspected patients with imaging obtained to rule out other relevant clinical indications. The knowledge of pathological findings is also crucial for imagers to better interpret various imaging findings. Identification of the imaging findings that are commonly seen with the disease is important to diagnose and suggest confirmatory testing in unsuspected cases. Proper precautionary measures will be important in such unsuspected patients to prevent further spread. In addition to understanding the imaging findings for the diagnosis of the disease, it is important to understand the growing set of tools provided by artificial intelligence. The goal of this review is to highlight common imaging findings using illustrative examples, describe the evolution of disease over time, discuss differences in imaging appearance of adult and pediatric patients and review the available literature on quantitative CT for COVID-19. We briefly address the known pathological findings of the COVID-19 lung disease that may help better understand the imaging appearance, and we provide a demonstration of novel display methodologies and artificial intelligence applications serving to support clinical observations.<\/jats:p>","DOI":"10.1259\/bjr.20200538","type":"journal-article","created":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T17:22:02Z","timestamp":1596734522000},"source":"Crossref","is-referenced-by-count":38,"title":["Imaging of COVID-19 pneumonia: Patterns, pathogenesis, and advances"],"prefix":"10.1093","volume":"93","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2347-034X","authenticated-orcid":false,"given":"Prashant","family":"Nagpal","sequence":"first","affiliation":[{"name":"Department of Radiology, University of Iowa, Carver College of Medicine , Iowa City , Iowa, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sabarish","family":"Narayanasamy","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Iowa, Carver College of Medicine , Iowa City , Iowa, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aditi","family":"Vidholia","sequence":"additional","affiliation":[{"name":"Department of Pathology, University of Iowa, Carver College of Medicine , Iowa City , Iowa, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junfeng","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Iowa, Carver College of Medicine , Iowa City , Iowa, USA"},{"name":"Department of Biomedical Engineering, University of Iowa, College of Engineering , Iowa City, IA , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyung Min","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Iowa, Carver College of Medicine , Iowa City , Iowa, USA"},{"name":"Department of Radiology, Kyungpook National University, School of Medicine , Daegu , Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang Hyun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Iowa, Carver College of Medicine , Iowa City , Iowa, USA"},{"name":"Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital , Seoul , South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric A","family":"Hoffman","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Iowa, Carver College of Medicine , Iowa City , Iowa, USA"},{"name":"Department of Biomedical Engineering, University of Iowa, College of Engineering , Iowa City, IA , USA"},{"name":"Department of Medicine, University of Iowa, Carver College of Medicine , Iowa City, IA , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2020,8,6]]},"reference":[{"key":"2024050215155116500_b1","unstructured":"World Health Organization\n          \n\u00a0Coronavirus disease 2019 (COVID-19) Situation Report \u2013 155\n.. 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