About: Lung apical findings in coronavirus disease (COVID-19) infection on neck and cervical spine CT

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Lung apical findings in coronavirus disease (COVID-19) infection on neck and cervical spine CT
Creator	Applewhite, Brooks Buch, Karen Byung, & Lang, Min Li, Matthew Mehan, William Rincon, Sandra Yoon, Chul
Source	Medline; PMC
abstract	PURPOSE: To evaluate the prevalence and features of lung apical findings on neck and cervical spine CTs performed in patients with COVID-19. METHODS: This was a retrospective, IRB-approved study performed at a large academic hospital in the USA. Between March 3, 2020, and May 6, 2020, 641 patients with COVID-19 infection diagnosed by RT-PCR received medical care at our institution. A small cohort of patients with COVID-19 infection underwent neck or cervical spine CT imaging for indications including stroke, trauma, and neck pain. The lung apices included in the field of view on these CT scans were reviewed for the presence of findings suspicious for COVID-19 pneumonia, including ground-glass opacities, consolidation, or crazy-paving pattern. The type and frequency of these findings were recorded and correlated with clinical information including age, gender, and symptoms. RESULTS: Thirty-four patients had neck or spine CTs performed before or concurrently with a chest CT. Of this group, 17 (50%) had unknown COVID-19 status at the time of neck or spine imaging and 10 (59%) of their CT studies had findings in the lung apices consistent with COVID-19 pneumonia. CONCLUSION: Lung apical findings on cervical spine or neck CTs consistent with COVID-19 infection are common and may be encountered on neuroimaging performed for non-respiratory indications. For these patients, the emergency radiologist may be the first physician to suspect underlying COVID-19 infection.
has issue date	2020-07-21(xsd:dateTime)
bibo:doi	10.1007/s10140-020-01822-0
bibo:pmid	32696116
has license	no-cc
sha1sum (hex)	d606583146dc42ade8859b79b2ae6378c58ff6a4
schema:url	https://doi.org/10.1007/s10140-020-01822-0
resource representing a document's title	Lung apical findings in coronavirus disease (COVID-19) infection on neck and cervical spine CT
has PubMed Central identifier	PMC7372543
has PubMed identifier	32696116
schema:publication	Emerg Radiol
resource representing a document's body	covid:d606583146dc42ade8859b79b2ae6378c58ff6a4#body_text
is schema:about of	named entity 'cervical spine' named entity 'This' named entity 'ground-glass opacities' named entity 'CLINICAL INFORMATION' named entity 'IN THE FIELD' named entity 'MEDICAL CARE' named entity 'OUR' named entity 'SUSPICIOUS' named entity 'INDICATIONS' named entity 'lung' named entity 'indications' named entity 'patients' named entity 'institution' named entity 'cervical spine' named entity 'COVID' named entity 'neck pain' named entity 'academic hospital' named entity 'cervical spine' named entity 'COVID' named entity 'alveolar' named entity 'seizures' named entity 'cervical spine' named entity 'chest CT' named entity 'RT-PCR' named entity 'neuroradiology' named entity 'infection' named entity 'GE Healthcare' named entity 'field of view' named entity 'lung' named entity 'COVID' named entity 'COVID' named entity 'abdomen' named entity 'lung' named entity 'infection' named entity 'hypoxic-ischemic encephalopathy' named entity 'COVID' named entity 'radiologist' named entity 'cervical spine' named entity 'lung' named entity 'Coronavirus Disease 2019' named entity 'dyspnea' named entity 'CT imaging' named entity 'MDCT' named entity 'CT examinations' named entity 'COVID' named entity 'pneumonia' named entity 'aortic arch' named entity 'neck pain' named entity 'contrast CT' named entity 'fever' named entity 'fever' named entity 'RT-PCR' named entity 'CT imaging' named entity 'ground-glass opacity' named entity 'reverse transcriptase polymerase chain reaction' named entity 'sample size' named entity 'lung' named entity 'respiratory symptoms' named entity 'standard deviation' named entity 'Soft tissue' named entity 'CT imaging' named entity 'NECT' named entity 'COVID' named entity 'cough' named entity 'cervical spine' named entity 'lung' named entity 'respiratory illness' named entity 'coronavirus disease' named entity 'Lung' named entity 'Lung' named entity 'chest CT' named entity 'thromboembolic disease' named entity 'chest imaging' named entity 'cervical spine'

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