About: CT differential diagnosis of COVID-19 and non-COVID-19 in symptomatic suspects: a practical scoring method

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About: CT differential diagnosis of COVID-19 and non-COVID-19 in symptomatic suspects: a practical scoring method Goto Sponge NotDistinct Permalink

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	CT differential diagnosis of COVID-19 and non-COVID-19 in symptomatic suspects: a practical scoring method
Creator	Luo, Lin He, Jianlong Jia, Yizhen Luo, Zhendong Lyu, Jianxun Shen, Xinping Zhou, Cuiping
Source	Medline; PMC
abstract	BACKGROUND: Although typical and atypical CT image findings of COVID-19 are reported in current studies, the CT image features of COVID-19 overlap with those of viral pneumonia and other respiratory diseases. Hence, it is difficult to make an exclusive diagnosis. METHODS: Thirty confirmed cases of COVID-19 and forty-three cases of other aetiology or clinically confirmed non-COVID-19 in a general hospital were included. The clinical data including age, sex, exposure history, laboratory parameters and aetiological diagnosis of all patients were collected. Seven positive signs (posterior part/lower lobe predilection, bilateral involvement, rounded GGO, subpleural bandlike GGO, crazy-paving pattern, peripheral distribution, and GGO +/− consolidation) from significant COVID-19 CT image features and four negative signs (only one lobe involvement, only central distribution, tree-in-bud sign, and bronchial wall thickening) from other non-COVID-19 pneumonia were used. The scoring analysis of CT features was compared between the two groups (COVID-19 and non-COVID-19). RESULTS: Older age, symptoms of diarrhoea, exposure history related to Wuhan, and a lower white blood cell and lymphocyte count were significantly suggestive of COVID-19 rather than non-COVID-19 (p < 0.05). The receiver operating characteristic (ROC) curve of the combined CT image features analysis revealed that the area under the curve (AUC) of the scoring system was 0.854. These cut-off values yielded a sensitivity of 56.67% and a specificity of 95.35% for a score > 4, a sensitivity of 100% and a specificity of 23.26% for a score > 0, and a sensitivity of 86.67% and a specificity of 67.44% for a score > 2. CONCLUSIONS: With a simple and practical scoring system based on CT imaging features, we can make a hierarchical diagnosis of COVID-19 and non-COVID-19 with different management suggestions.
has issue date	2020-05-07(xsd:dateTime)
bibo:doi	10.1186/s12890-020-1170-6
bibo:pmid	32381057
has license	cc-by
sha1sum (hex)	7b2d1ce440a5c77c76365eb0f0581c0b322f0c3f
schema:url	https://doi.org/10.1186/s12890-020-1170-6
resource representing a document's title	CT differential diagnosis of COVID-19 and non-COVID-19 in symptomatic suspects: a practical scoring method
has PubMed Central identifier	PMC7203713
has PubMed identifier	32381057
schema:publication	BMC Pulm Med
resource representing a document's body	covid:7b2d1ce440a5c77c76365eb0f0581c0b322f0c3f#body_text
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