About: Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia

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About: Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia 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	Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia
Creator	Daisuke Utsunomiya, · Hagiwara, · Iwasawa, Tae Kitamura, Hideya Komatsu, · Ogura, Takashi Sato, Midori Sato, Yozo Uchida, Yoshinori Yamaya, ·
source	Medline; PMC
abstract	PURPOSE: To review the chest computed tomography (CT) findings on the ultra-high-resolution CT (U-HRCT) in patients with the Novel coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: In February 2020, six consecutive patients with COVID-19 pneumonia (median age, 69 years) underwent U-HR CT imaging. U-HR-CT has a larger matrix size of 1024 × 1024 thinner slice thickness of 0.25 mm and can demonstrate terminal bronchioles in the normal lungs; as a result, Reid’s secondary lobules and their abnormalities can be identified. The distribution and hallmarks (ground-glass opacity, consolidation with or without architectural distortion, linear opacity, crazy paving) of the lung opacities on U-HRCT were visually evaluated on a 1 K monitor by two experienced reviewers. The CT lung volume was measured, and the ratio of the measured lung volume to the predicted total lung capacity (predTLC) based on sex, age and height was calculated. RESULTS: All cases showed crazy paving pattern in U-HRCT. In these lesions, the secondary lobules were smaller than those in the un-affected lungs. CT lung volume decreased in two cases comparing predTLC. CONCLUSION: U-HRCT can evaluate not only the distribution and hallmarks of COVID-19 pneumonia but also visualize local lung volume loss.
has issue date	2020-03-31(xsd:dateTime)
bibo:doi	10.1007/s11604-020-00956-y
bibo:pmid	32236856
has license	no-cc
sha1sum (hex)	3649528bb0b445b05822f3f23a771fd19f7e66ed
schema:url	https://doi.org/10.1007/s11604-020-00956-y
resource representing a document's title	Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia
has PubMed Central identifier	PMC7110271
has PubMed identifier	32236856
schema:publication	Jpn J Radiol
resource representing a document's body	covid:3649528bb0b445b05822f3f23a771fd19f7e66ed#body_text
is schema:about of	named entity 'patients' named entity 'chest' named entity 'coronavirus disease 2019' named entity 'high-resolution computed tomography' named entity 'alveolar' named entity 'polymerase chain reaction' named entity 'pneumonia' named entity 'lung volume' named entity 'Japan' named entity 'lung volume' named entity 'pneumonia' named entity 'lung volume' named entity 'ground glass opacities' named entity 'hypoxemia' named entity 'ground glass opacities' named entity 'lung' named entity 'GGO' named entity 'GGO' named entity 'KCRC' named entity 'pneumonia' named entity 'CT images' named entity 'crazy paving' named entity 'fluorescence' named entity 'lobules' named entity 'Severe acute respiratory syndrome' named entity 'pleura' named entity 'subpleural' named entity 'ground glass opacities' named entity 'terminal bronchioles' named entity 'ICU' named entity 'high-resolution CT' named entity 'WHO' named entity 'alveolar' named entity 'deep learning' named entity 'symptom' named entity 'algorithm' named entity 'pneumonia' named entity 'middle lobe' named entity 'approximately equal' named entity 'Japan' named entity 'tested positive for COVID-19' named entity 'institutional review board' named entity 'ARDS' named entity 'ARDS' named entity 'Otawara' named entity 'PCR' named entity 'lobules' named entity 'bronchi' named entity 'total lung capacity' named entity 'SaO2' named entity 'COVID-19' named entity 'COVID-19' named entity 'COVID-19' named entity 'oxygen therapy' named entity 'cytokine storm' named entity 'ARDS' named entity 'Japan' named entity 'COVID-19' named entity 'Computed tomography' named entity 'radiologists' named entity 'COVID-19' named entity 'single center' named entity 'COVID-19' named entity 'ground-glass opacity' named entity 'lung' named entity 'alveolar' named entity 'DLR' named entity 'COVID-19' named entity '95%' named entity 'tube voltage' named entity 'acute respiratory distress syndrome' named entity 'lung'

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