PMC:7170415 / 20764-21771 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7170415","sourcedb":"PMC","sourceid":"7170415","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7170415","text":"Many centers have evaluated the utility of chest imaging for diagnosis. On chest radiography, bilateral pneumonia is the most frequently reported feature (range, 11.8% to 100%) and is more common than a unilateral focus (49, 50). Computed tomography is regarded as more sensitive than radiography, with several cohort studies reporting that most patients (77.8% to 100%) had ground glass opacities. Other features commonly reported with COVID-19 on chest computed tomography include a peripheral distribution, fine reticular opacities, and vascular thickening (51). Compared with serial nasopharyngeal sampling, chest computed tomography may be more sensitive than an RT-PCR test at a single time point for the diagnosis of COVID-19 (52, 53). In addition, artificial intelligence may help distinguish COVID-19 from other etiologic agents of community-acquired pneumonia (54). However, these findings are not completely specific to COVID-19 and do not exclude a co-infection or an alternative diagnosis 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