Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19

Feng Shi; Ying Wei; Liming Xia; Fei Shan; Zhanhao Mo; Fuhua Yan; Dinggang Shen

doi:10.1016/j.ijid.2020.10.095

Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19

Feng Shi
, Ying Wei
, Liming Xia
, Fei Shan
, Zhanhao Mo
, Fuhua Yan
, Dinggang Shen^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

The ongoing worldwide COVID-19 pandemic has become a huge threat to global public health. Using CT image, 3389 COVID-19 patients, 1593 community-acquired pneumonia (CAP) patients, and 1707 nonpneumonia subjects were included to explore the different patterns of lung and lung infection. We found that COVID-19 patients have a significant reduced lung volume with increased density and mass, and the infections tend to present as bilateral lower lobes. The findings provide imaging evidence to improve our understanding of COVID-19.

Original language	English
Pages (from-to)	316-318
Number of pages	3
Journal	International Journal of Infectious Diseases
Volume	102
DOIs	https://doi.org/10.1016/j.ijid.2020.10.095
Publication status	Published - 2021 Jan

Bibliographical note

Publisher Copyright:
© 2020 The Authors

Keywords

Big data
COVID-19
Community-Acquired pneumonia
Lung
Non-Pneumonia subjects

ASJC Scopus subject areas

Microbiology (medical)
Infectious Diseases

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ijid.2020.10.095

Cite this

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title = "Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19",

abstract = "The ongoing worldwide COVID-19 pandemic has become a huge threat to global public health. Using CT image, 3389 COVID-19 patients, 1593 community-acquired pneumonia (CAP) patients, and 1707 nonpneumonia subjects were included to explore the different patterns of lung and lung infection. We found that COVID-19 patients have a significant reduced lung volume with increased density and mass, and the infections tend to present as bilateral lower lobes. The findings provide imaging evidence to improve our understanding of COVID-19.",

keywords = "Big data, COVID-19, Community-Acquired pneumonia, Lung, Non-Pneumonia subjects",

author = "Feng Shi and Ying Wei and Liming Xia and Fei Shan and Zhanhao Mo and Fuhua Yan and Dinggang Shen",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors",

year = "2021",

month = jan,

doi = "10.1016/j.ijid.2020.10.095",

language = "English",

volume = "102",

pages = "316--318",

journal = "International Journal of Infectious Diseases",

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T1 - Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19

AU - Shi, Feng

AU - Wei, Ying

AU - Xia, Liming

AU - Shan, Fei

AU - Mo, Zhanhao

AU - Yan, Fuhua

AU - Shen, Dinggang

PY - 2021/1

Y1 - 2021/1

N2 - The ongoing worldwide COVID-19 pandemic has become a huge threat to global public health. Using CT image, 3389 COVID-19 patients, 1593 community-acquired pneumonia (CAP) patients, and 1707 nonpneumonia subjects were included to explore the different patterns of lung and lung infection. We found that COVID-19 patients have a significant reduced lung volume with increased density and mass, and the infections tend to present as bilateral lower lobes. The findings provide imaging evidence to improve our understanding of COVID-19.

AB - The ongoing worldwide COVID-19 pandemic has become a huge threat to global public health. Using CT image, 3389 COVID-19 patients, 1593 community-acquired pneumonia (CAP) patients, and 1707 nonpneumonia subjects were included to explore the different patterns of lung and lung infection. We found that COVID-19 patients have a significant reduced lung volume with increased density and mass, and the infections tend to present as bilateral lower lobes. The findings provide imaging evidence to improve our understanding of COVID-19.

KW - Big data

KW - COVID-19

KW - Community-Acquired pneumonia

KW - Lung

KW - Non-Pneumonia subjects

UR - https://www.scopus.com/pages/publications/85096907258

U2 - 10.1016/j.ijid.2020.10.095

DO - 10.1016/j.ijid.2020.10.095

M3 - Article

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AN - SCOPUS:85096907258

SN - 1201-9712

VL - 102

SP - 316

EP - 318

JO - International Journal of Infectious Diseases

JF - International Journal of Infectious Diseases

ER -

Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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