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10.3174/ajnr.A7072

http://scihub22266oqcxt.onion/10.3174/ajnr.A7072
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33707278!8191655!33707278
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suck abstract from ncbi


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pmid33707278      AJNR+Am+J+Neuroradiol 2021 ; 42 (6): 1008-1016
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  • Brain and Lung Imaging Correlation in Patients with COVID-19: Could the Severity of Lung Disease Reflect the Prevalence of Acute Abnormalities on Neuroimaging? A Global Multicenter Observational Study #MMPMID33707278
  • Mahammedi A; Ramos A; Bargallo N; Gaskill M; Kapur S; Saba L; Carrete H Jr; Sengupta S; Salvador E; Hilario A; Revilla Y; Sanchez M; Perez-Nunez M; Bachir S; Zhang B; Oleaga L; Sergio J; Koren L; Martin-Medina P; Wang L; Benegas M; Ostos F; Gonzalez-Ortega G; Calleja P; Udstuen G; Williamson B; Khandwala V; Chadalavada S; Woo D; Vagal A
  • AJNR Am J Neuroradiol 2021[Jun]; 42 (6): 1008-1016 PMID33707278show ga
  • PURPOSE: Our aim was to study the association between abnormal findings on chest and brain imaging in patients with coronavirus disease 2019 (COVID-19) and neurologic symptoms. MATERIALS AND METHODS: In this retrospective, international multicenter study, we reviewed the electronic medical records and imaging of hospitalized patients with COVID-19 from March 3, 2020, to June 25, 2020. Our inclusion criteria were patients diagnosed with Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) infection with acute neurologic manifestations and available chest CT and brain imaging. The 5 lobes of the lungs were individually scored on a scale of 0-5 (0 corresponded to no involvement and 5 corresponded to >75% involvement). A CT lung severity score was determined as the sum of lung involvement, ranging from 0 (no involvement) to 25 (maximum involvement). RESULTS: A total of 135 patients met the inclusion criteria with 132 brain CT, 36 brain MR imaging, 7 MRA of the head and neck, and 135 chest CT studies. Compared with 86 (64%) patients without acute abnormal findings on neuroimaging, 49 (36%) patients with these findings had a significantly higher mean CT lung severity score (9.9 versus 5.8, P < .001). These patients were more likely to present with ischemic stroke (40 [82%] versus 11 [13%], P < .0001) and were more likely to have either ground-glass opacities or consolidation (46 [94%] versus 73 [84%], P = .01) in the lungs. A threshold of the CT lung severity score of >8 was found to be 74% sensitive and 65% specific for acute abnormal findings on neuroimaging. The neuroimaging hallmarks of these patients were acute ischemic infarct (28%), intracranial hemorrhage (10%) including microhemorrhages (19%), and leukoencephalopathy with and/or without restricted diffusion (11%). The predominant CT chest findings were peripheral ground-glass opacities with or without consolidation. CONCLUSIONS: The CT lung disease severity score may be predictive of acute abnormalities on neuroimaging in patients with COVID-19 with neurologic manifestations. This can be used as a predictive tool in patient management to improve clinical outcome.
  • |Adult[MESH]
  • |Aged[MESH]
  • |Brain/*diagnostic imaging/pathology[MESH]
  • |COVID-19/complications/*diagnostic imaging/*pathology[MESH]
  • |Humans[MESH]
  • |Lung/*diagnostic imaging/pathology[MESH]
  • |Magnetic Resonance Imaging/methods[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Neuroimaging[MESH]
  • |Prevalence[MESH]
  • |Retrospective Studies[MESH]
  • |SARS-CoV-2[MESH]
  • |Severity of Illness Index[MESH]


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