About: CT Quantitative Analysis and Its Relationship with Clinical Features for Assessing the Severity of Patients with COVID-19

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About: CT Quantitative Analysis and Its Relationship with Clinical Features for Assessing the Severity of Patients with COVID-19 Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	CT Quantitative Analysis and Its Relationship with Clinical Features for Assessing the Severity of Patients with COVID-19
Creator	Chen, Ting Li, Xiang Chen, Linli Fang, Zheng Guo, Dajing Zeng, Wenbing Wu, Lan Sun, Dong Yang, Ran
source	Medline; PMC
abstract	OBJECTIVE: To investigate the value of initial CT quantitative analysis of ground-glass opacity (GGO), consolidation, and total lesion volume and its relationship with clinical features for assessing the severity of coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: A total of 84 patients with COVID-19 were retrospectively reviewed from January 23, 2020 to February 19, 2020. Patients were divided into two groups: severe group (n = 23) and non-severe group (n = 61). Clinical symptoms, laboratory data, and CT findings on admission were analyzed. CT quantitative parameters, including GGO, consolidation, total lesion score, percentage GGO, and percentage consolidation (both relative to total lesion volume) were calculated. Relationships between the CT findings and laboratory data were estimated. Finally, a discrimination model was established to assess the severity of COVID-19. RESULTS: Patients in the severe group had higher baseline neutrophil percentage, increased high-sensitivity C-reactive protein (hs-CRP) and procalcitonin levels, and lower baseline lymphocyte count and lymphocyte percentage (p < 0.001). The severe group also had higher GGO score (p < 0.001), consolidation score (p < 0.001), total lesion score (p < 0.001), and percentage consolidation (p = 0.002), but had a lower percentage GGO (p = 0.008). These CT quantitative parameters were significantly correlated with laboratory inflammatory marker levels, including neutrophil percentage, lymphocyte count, lymphocyte percentage, hs-CRP level, and procalcitonin level (p < 0.05). The total lesion score demonstrated the best performance when the data cut-off was 8.2%. Furthermore, the area under the curve, sensitivity, and specificity were 93.8% (confidence interval [CI]: 86.8–100%), 91.3% (CI: 69.6–100%), and 91.8% (CI: 23.0–98.4%), respectively. CONCLUSION: CT quantitative parameters showed strong correlations with laboratory inflammatory markers, suggesting that CT quantitative analysis might be an effective and important method for assessing the severity of COVID-19, and may provide additional guidance for planning clinical treatment strategies.
has issue date	2020-05-06(xsd:dateTime)
bibo:doi	10.3348/kjr.2020.0293
bibo:pmid	32524786
has license	cc-by-nc
sha1sum (hex)	00e4371134952c693fd79ed05dcddbe8ad116a3d
schema:url	https://doi.org/10.3348/kjr.2020.0293
resource representing a document's title	CT Quantitative Analysis and Its Relationship with Clinical Features for Assessing the Severity of Patients with COVID-19
has PubMed Central identifier	PMC7289692
has PubMed identifier	32524786
schema:publication	Korean J Radiol
resource representing a document's body	covid:00e4371134952c693fd79ed05dcddbe8ad116a3d#body_text
is schema:about of	named entity 'Materials' named entity 'correlations' named entity 'Patients' named entity 'EFFECTIVE' named entity 'QUANTITATIVE ANALYSIS' named entity 'CORRELATED' named entity '0.05' named entity 'NON-' named entity 'STRONG' named entity 'REVIEWED' named entity 'INCLUDING' named entity 'LESION' named entity 'PATIENTS' named entity 'SCORE' named entity 'SENSITIVITY' named entity 'TOTAL' named entity 'CLINICAL TREATMENT' covid:arg/00e4371134952c693fd79ed05dcddbe8ad116a3d named entity 'calculated' named entity 'consolidation' named entity 'neutrophil' named entity 'February 19' named entity 'baseline' named entity 'inflammatory' named entity 'strategies' named entity 'severe' named entity 'quantitative analysis' named entity 'Patients' named entity 'curve' named entity 'laboratory' named entity 'lesion' named entity 'lymphocyte count' named entity 'GGO' named entity 'COVID' named entity 'lymphocyte' named entity 'hs-CRP' named entity 'coronavirus disease 2019' named entity 'Clinical symptoms' named entity 'hs-CRP' named entity 'lesion' named entity 'Clinical Features' named entity 'total' named entity 'chest CT' named entity 'negatively correlated' named entity 'GGO' named entity 'Fleischner Society' named entity 'high-sensitivity C-reactive protein' named entity 'COVID-19' named entity 'lymphadenopathy' named entity 'lesion' named entity 'procalcitonin' named entity 'Mann-Whitney' named entity 'COVID-19' named entity 'blood vessels' named entity 'GGO' named entity 'dyspnea' named entity 'health records' named entity 'resting state' named entity 'COVID-19' named entity 'lesion' named entity 'lesion' named entity 'histopathological' named entity 'lymphocyte' named entity 'radiology' named entity 'pleural effusion' named entity 'edema' named entity 'GGO' named entity 'GGO' named entity 'lymphocyte' named entity 'lymphocyte' named entity 'COVID-19' named entity 'bronchiolitis' named entity 'GGO'

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