作者: J. Kalpathy-Cramer , T.M. Leslie-Mazwi , W.A. Mehan , K. Buch , S.P. Rincon
DOI: 10.3174/AJNR.A7032
关键词:
摘要: BACKGROUND AND PURPOSE: Severe respiratory distress in patients with COVID-19 has been associated higher rate of neurologic manifestations. Our aim was to investigate whether the severity chest imaging findings among coronavirus disease 2019 (COVID-19) correlates risk acute neuroimaging findings. MATERIALS METHODS: This retrospective study included all who received care at our hospital between March 3, 2020, and May 6, underwent within 10 days neuroimaging. Chest radiographs were assessed using a previously validated automated neural network algorithm for (Pulmonary X-ray Severity score). CTs graded CT scoring system based on involvement each lobe. Associations scores multivariable logistic regression. RESULTS: Twenty-four 93 (26%) had positive findings, including intracranial hemorrhage (n = 7), infarction leukoencephalopathy 6), or combination 4). The average length hospitalization, prevalence intensive unit admission, proportion requiring intubation significantly greater than without them (P < .05 all). Compared mean Pulmonary (5.0 [SD, 2.9] versus 9.2 3.4], P .001) (9.0 5.1] 12.1 5.0], .041). pulmonary x-ray score significant predictor COVID-19. CONCLUSIONS: Patients more severe both compared radiography strong