About: High-resolution computed tomography manifestations of COVID-19 infections in patients of different ages

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About: High-resolution computed tomography manifestations of COVID-19 infections in patients of different ages Goto Sponge NotDistinct Permalink

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
title	High-resolution computed tomography manifestations of COVID-19 infections in patients of different ages
Creator	Fan, Hongjie Cai, Jian Chen, Zuhua Hou, Yanchun Hu, Hongjie Li, Yunjiang Liu, Yongguang Sun, Jihong Wu, Baoliang Xu, Shufeng Xuan, Weiling Zhou, Fei
source	Elsevier; Medline; PMC
abstract	PURPOSE: We aimed to compare chest HRCT lung signs identified in scans of differently aged patients with COVID-19 infections. METHODS: Case data of patients diagnosed with COVID-19 infection in Hangzhou City, Zhejiang Province in China were collected, and chest HRCT signs of infected patients in four age groups (<18 years, 18–44 years, 45–59 years, ≥60 years) were compared. RESULTS: Small patchy, ground-glass opacity (GGO), and consolidations were the main HRCT signs in 98 patients with confirmed COVID-19 infections. Patients aged 45–59 years and aged ≥60 years had more bilateral lung, lung lobe, and lung field involvement, and greater lesion numbers than patients <18 years. GGO accompanied with the interlobular septa thickening or a crazy-paving pattern, consolidation, and air bronchogram sign were more common in patients aged 45–59 years, and ≥60 years, than in those aged <18 years, and aged 18–44 years. CONCLUSIONS: Chest HRCT manifestations in patients with COVID-19 are related to patient’s age, and HRCT signs may be milder in younger patients.
has issue date	2020-03-24(xsd:dateTime)
bibo:doi	10.1016/j.ejrad.2020.108972
bibo:pmid	32240913
has license	no-cc
sha1sum (hex)	3bcf325975ee3e0d1f05ba4a4cf473dca069dbe5
schema:url	https://doi.org/10.1016/j.ejrad.2020.108972
resource representing a document's title	High-resolution computed tomography manifestations of COVID-19 infections in patients of different ages
has PubMed Central identifier	PMC7102649
has PubMed identifier	32240913
schema:publication	Eur J Radiol
resource representing a document's body	covid:3bcf325975ee3e0d1f05ba4a4cf473dca069dbe5#body_text
is schema:about of	named entity 'signs' named entity 'Patients' named entity 'patients' named entity 'bilateral' named entity 'greater' named entity 'groups' named entity 'aged' named entity 'manifestations' named entity 'CHEST' named entity 'BILATERAL' named entity 'AGED' named entity 'COMPARED' named entity 'CASE' named entity 'AGE GROUPS' named entity 'IDENTIFIED' named entity 'COMMON' covid:arg/3bcf325975ee3e0d1f05ba4a4cf473dca069dbe5 named entity 'age' named entity 'aged' named entity 'lung' named entity 'patients' named entity 'COVID-19' named entity 'identified' named entity 'consolidation' named entity 'compared' named entity 'Methods' named entity 'patients' named entity 'High-resolution computed tomography' named entity 'HRCT' named entity 'infection' named entity 'Zhejiang Province' named entity 'GGO' named entity 'septa' named entity 'Picture Archiving and Communication Systems' named entity 'middle lobe' named entity 'lesion' named entity 'pleural effusion' named entity 'statistically significant' named entity 'Hangzhou' named entity 'clinical symptoms' named entity 'lesion' named entity 'severe acute respiratory syndrome' named entity 'Wuhan' named entity 'crazy paving' named entity 'inflammatory' named entity 'mediastinal lymphadenopathy' named entity 'white blood cell' named entity 'neutrophil' named entity 'standard deviation' named entity 'air bronchogram' named entity 'Zhejiang Chinese Medical University' named entity 'HRCT' named entity 'CT scanner' named entity 'Statistical analyses' named entity 'analysis of variance' named entity 'lesion' named entity 'neutrophil' named entity 'mediastinal lymphadenopathy' named entity 'statistically significant' named entity 'diffuse alveolar damage' named entity 'GGO' named entity 'COVID-19' named entity 'upper lobe' named entity 'infection' named entity '8 days' named entity 'statistically significant' named entity 'exudations' named entity 'statistically significant' named entity 'COVID-19' named entity 'COVID-19 infection'

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