About: Lung involvement in patients with coronavirus disease-19 (COVID-19): a retrospective study based on quantitative CT findings

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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
has title	Lung involvement in patients with coronavirus disease-19 (COVID-19): a retrospective study based on quantitative CT findings
Creator	Cai, Shubo Guo, Youmin Yu, Nan Shen, · Dang, Minghai Yong, ·
Source	Medline; PMC
abstract	PURPOSE: To explore lung involvement in patients with coronavirus disease-19 (COVID-19) using quantitative computed tomography (QCT). METHODS: A total of 52 patients with COVID-19 who were admitted to three hospitals in China from January 23, 2020 to February 1, 2020 were retrospectively analyzed using QCT. The accuracy of QCT segmentation was assessed. The relationship between the time from symptom onset to initial CT and QCT parameters acquired on the initial CT were explored. RESULTS: First, the ability of QCT to detect and segment lesions was investigated and it was unveiled that results of segmentation of the majority of cases (42/52) were satisfactory and for 8 out of 52 patients, the images depicted lesions with miss-segmentation; besides, 2 out of 52 cases had negative finding on chest CT achieved by both radiologists and QCT. QCT-related parameters showed to have a relationship with the time from symptom onset to initial CT. In the early-stage (0–3 days), the percentage of lung involvement was 4%, with a mean density of − 462 ± 99 HU. The peak density of lesions appeared at the range of − 500 to − 700 HU on density histogram. In the intermediate-stage (4–6 days), the mean percentage of lung involvement noticeably increased compared with that in early stage (7%, p < 0.05). In late stage (7–14 days), the percentage of lung involvement decreased to 5%. The mean density of lesions was the highest (− 430 ± 80), and heterogeneity density distribution showed a dual-peak on density histogram. CONCLUSION: COVID-19 can be promptly detected by QCT. In addition, the QCT-related parameters can highly facilitate assessment of pulmonary involvement.
has issue date	2020-05-11(xsd:dateTime)
bibo:doi	10.1007/s42058-020-00034-2
bibo:pmid	32395696
has license	no-cc
sha1sum (hex)	a8214d43a86c85985f7134ac67e522f3912a5cb8
schema:url	https://doi.org/10.1007/s42058-020-00034-2
resource representing a document's title	Lung involvement in patients with coronavirus disease-19 (COVID-19): a retrospective study based on quantitative CT findings
has PubMed Central identifier	PMC7211979
has PubMed identifier	32395696
schema:publication	Chin J Acad Radiol
resource representing a document's body	covid:a8214d43a86c85985f7134ac67e522f3912a5cb8#body_text
is schema:about of	named entity 'symptom' named entity 'negative' named entity 'total' named entity 'COVID-19' named entity 'FEBRUARY' named entity 'ASSESSED' named entity 'RANGE' named entity 'INVESTIGATED' named entity 'MEAN' named entity 'PURPOSE' named entity 'INVOLVEMENT' named entity 'late' named entity 'cases' named entity 'patients' named entity 'February' named entity 'cases' named entity 'ability' named entity 'symptom' named entity 'images' named entity 'distribution' named entity 'China' named entity 'stage' named entity 'heterogeneity' named entity 'symptom' named entity 'lung' named entity 'coronavirus disease' named entity 'symptom' named entity 'histogram' named entity 'lung' named entity 'majority' named entity 'acquired' named entity 'lesion' named entity 'embolic' named entity 'histogram' named entity 'CT scanners' named entity 'Philips Healthcare' named entity 'pulmonary vessels' named entity 'opacity' named entity 'statistically significant' named entity 'lung' named entity 'normal distribution' named entity 'opacity' named entity 'chest CT' named entity 'COVID-19' named entity 'Shaanxi' named entity 'Shanghai' named entity 'histogram' named entity 'GGO' named entity 'dyspnea' named entity 'fluorescence' named entity 'COVID' named entity 'lung' named entity 'opacity' named entity 'chest CT' named entity 'Amsterdam' named entity 'average density' named entity 'polymerase chain reaction' named entity 'Xi'an' named entity 'diarrhea' named entity 'intravenous contrast' named entity 'heart beat' named entity 'lesion' named entity 'diarrhea' named entity 'COVID-19 infection' named entity 'cough' named entity 'China' named entity 'bronchiectasis' named entity 'pulmonary fibrosis' named entity 'fatigue' named entity 'lung' named entity 'COVID' named entity 'symptom' named entity 'mainland China' named entity 'lung' named entity 'Hubei Province' named entity 'COVID-19'

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