About: Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation 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
has title	Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation
Creator	Kim, Hyungjin Lee, Hyun Kim, Jin Park, Min Ko, Hongseok Goo, Jin Kim, Yun-Hyeon Lee, Kyung Yoon, Ho Yoon, Soon Kim, Hwan Lee, Hee Lei, Junqiang Park, Joon Yoo, Jin Gang, ; Chang, ; Choi, Hyewon Eui, ; Hong, Hee Hwang, Jin Jung, ; Ki, ; Kyung, ; Qi, ; Sang, ; Seung, ; Soon, ; Young, ;
Source	PMC
abstract	PURPOSE: To study the extent of pulmonary involvement in COVID-19 with quantitative CT (QCT) and to assess the impact of disease burden on opacity visibility on chest radiographs. MATERIALS AND METHODS: This retrospective study included 20 pairs of CT scans and same-day chest radiographs from 17 patients with COVID-19, along with 20 chest radiographs of controls. All pulmonary opacities were semi-automatically segmented on CT images, producing an anteroposterior projection image to match the corresponding frontal chest radiograph. The lung opacification mass (QCTmass) was defined as [(opacity attenuation value+1000 HU)/1000]1.065(g/mL) combined volume (cm(3)) of the individual opacities. Eight thoracic radiologists reviewed the 40 radiographs, and a receiver operating characteristics curve analysis was performed for the detection of lung opacities. Logistic regression analysis was done to identify factors affecting opacity visibility on chest radiographs. RESULTS: The mean QCTmass per patient was 72.4±120.8 g (range, 0.7-420.7), and opacities occupied 3.2±5.8% (range, 0.1-19.8) and 13.9±18.0% (range, 0.5-57.8) of the lung area on the CT images and projected images, respectively. The radiographs had a median sensitivity of 25% and specificity of 90% among radiologists. Nineteen of 186 opacities were visible on chest radiographs, and a median area of 55.8% of the projected images was identifiable on radiographs. Logistic regression analysis showed that QCTmass (p<0.001) and combined opacity volume (p<0.001) significantly affected opacity visibility on radiographs. CONCLUSION: QCTmass varied among COVID-19 patients. Chest radiographs had high specificity for detecting lung opacities in COVID-19, but a low sensitivity. QCTmass and combined opacity volume were significant determinants of opacity visibility on radiographs. An earlier incorrect version appeared online. This article was corrected on April 6, 2020.
has issue date	2020-03-30(xsd:dateTime)
bibo:doi	10.1148/ryct.2020200107
has license	no-cc
sha1sum (hex)	59da15ee5fa32822d3458e5f67b88d9badebacc1
schema:url	https://doi.org/10.1148/ryct.2020200107
resource representing a document's title	Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation
has PubMed Central identifier	PMC7233433
schema:publication	Radiol Cardiothorac Imaging
resource representing a document's body	covid:59da15ee5fa32822d3458e5f67b88d9badebacc1#body_text
is schema:about of	named entity 'COVID-19' named entity '2872' named entity 'RANGE' named entity '283' named entity 'opacity' named entity 'lung' named entity 'COVID-19' named entity 'radiographs' named entity 'informed consent' named entity 'lung' named entity 'infection' named entity 'radiographs' named entity 'chest radiography' named entity 'radiographs' named entity 'radiographs' named entity 'Siemens Healthcare' named entity 'health care' named entity 'Seoul National University Bundang Hospital' named entity 'supine position' named entity 'anteroposterior' named entity 'lung' named entity 'area under the curve' named entity 'attenuation' named entity 'COVID-19' named entity 'radiographs' named entity 'Pearson correlation coefficient' named entity 'anteroposterior' named entity 'lung' named entity 'lung' named entity 'Armonk' named entity 'radiographs' named entity 'Pearson correlation coefficient' named entity 'COVID-19' named entity 'CT scans' named entity 'COVID-19' named entity 'chest radiograph' named entity 'COVID-19' named entity 'Seoul' named entity 'Japan' named entity 'radiographs' named entity 'radiologist' named entity 'Korea' named entity 'attenuation' named entity 'clinical practice' named entity 'follow-up' named entity 'lung' named entity 'Canon Inc.' named entity 'SPSS' named entity 'GGO' named entity 'supine position' named entity 'CT image' named entity 'Chicago' named entity 'COVID-19' named entity 'radiographs' named entity 'PCR'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software