Cargando…
Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography
OBJECTIVES: This study aims to trace the dynamic lung changes of coronavirus disease 2019 (COVID-19) using computed tomography (CT) images by a quantitative method. METHODS: In this retrospective study, 28 confirmed COVID-19 cases with 145 CT scans are collected. The lesions are detected automatical...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592694/ https://www.ncbi.nlm.nih.gov/pubmed/32925165 http://dx.doi.org/10.3233/XST-200721 |
_version_ | 1783601238419439616 |
---|---|
author | Shen, Cong Yu, Nan Cai, Shubo Zhou, Jie Sheng, Jiexin Liu, Kang Zhou, Heping Guo, Youmin |
author_facet | Shen, Cong Yu, Nan Cai, Shubo Zhou, Jie Sheng, Jiexin Liu, Kang Zhou, Heping Guo, Youmin |
author_sort | Shen, Cong |
collection | PubMed |
description | OBJECTIVES: This study aims to trace the dynamic lung changes of coronavirus disease 2019 (COVID-19) using computed tomography (CT) images by a quantitative method. METHODS: In this retrospective study, 28 confirmed COVID-19 cases with 145 CT scans are collected. The lesions are detected automatically and the parameters including lesion volume (LeV/mL), lesion percentage to lung volume (LeV%), mean lesion density (MLeD/HU), low attenuation area lower than – 400HU (LAA-400%), and lesion weight (LM/mL*HU) are computed for quantification. The dynamic changes of lungs are traced from the day of initial symptoms to the day of discharge. The lesion distribution among the five lobes and the dynamic changes in each lobe are also analyzed. RESULTS: LeV%, MLeD, and LM reach peaks on days 9, 6 and 8, followed by a decrease trend in the next two weeks. LAA-400% (mostly the ground glass opacity) declines to the lowest on days 4–5, and then increases. The lesion is mostly seen in the bilateral lower lobes, followed by the left upper lobe, right upper lobe and right middle lobe (p < 0.05). The right middle lobe is the earliest one (on days 6–7), while the right lower lobe is the latest one (on days 9–10) that reaches to peak among the five lobes. CONCLUSIONS: Severity of COVID-19 increases from the day of initial symptoms, reaches to the peak around on day 8, and then decreases. Lesion is more commonly seen in the bilateral lower lobes. |
format | Online Article Text |
id | pubmed-7592694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75926942020-10-30 Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography Shen, Cong Yu, Nan Cai, Shubo Zhou, Jie Sheng, Jiexin Liu, Kang Zhou, Heping Guo, Youmin J Xray Sci Technol Research Article OBJECTIVES: This study aims to trace the dynamic lung changes of coronavirus disease 2019 (COVID-19) using computed tomography (CT) images by a quantitative method. METHODS: In this retrospective study, 28 confirmed COVID-19 cases with 145 CT scans are collected. The lesions are detected automatically and the parameters including lesion volume (LeV/mL), lesion percentage to lung volume (LeV%), mean lesion density (MLeD/HU), low attenuation area lower than – 400HU (LAA-400%), and lesion weight (LM/mL*HU) are computed for quantification. The dynamic changes of lungs are traced from the day of initial symptoms to the day of discharge. The lesion distribution among the five lobes and the dynamic changes in each lobe are also analyzed. RESULTS: LeV%, MLeD, and LM reach peaks on days 9, 6 and 8, followed by a decrease trend in the next two weeks. LAA-400% (mostly the ground glass opacity) declines to the lowest on days 4–5, and then increases. The lesion is mostly seen in the bilateral lower lobes, followed by the left upper lobe, right upper lobe and right middle lobe (p < 0.05). The right middle lobe is the earliest one (on days 6–7), while the right lower lobe is the latest one (on days 9–10) that reaches to peak among the five lobes. CONCLUSIONS: Severity of COVID-19 increases from the day of initial symptoms, reaches to the peak around on day 8, and then decreases. Lesion is more commonly seen in the bilateral lower lobes. IOS Press 2020-09-19 /pmc/articles/PMC7592694/ /pubmed/32925165 http://dx.doi.org/10.3233/XST-200721 Text en © 2020 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shen, Cong Yu, Nan Cai, Shubo Zhou, Jie Sheng, Jiexin Liu, Kang Zhou, Heping Guo, Youmin Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography |
title | Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography |
title_full | Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography |
title_fullStr | Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography |
title_full_unstemmed | Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography |
title_short | Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography |
title_sort | evaluation of dynamic lung changes during coronavirus disease 2019 (covid-19) by quantitative computed tomography |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592694/ https://www.ncbi.nlm.nih.gov/pubmed/32925165 http://dx.doi.org/10.3233/XST-200721 |
work_keys_str_mv | AT shencong evaluationofdynamiclungchangesduringcoronavirusdisease2019covid19byquantitativecomputedtomography AT yunan evaluationofdynamiclungchangesduringcoronavirusdisease2019covid19byquantitativecomputedtomography AT caishubo evaluationofdynamiclungchangesduringcoronavirusdisease2019covid19byquantitativecomputedtomography AT zhoujie evaluationofdynamiclungchangesduringcoronavirusdisease2019covid19byquantitativecomputedtomography AT shengjiexin evaluationofdynamiclungchangesduringcoronavirusdisease2019covid19byquantitativecomputedtomography AT liukang evaluationofdynamiclungchangesduringcoronavirusdisease2019covid19byquantitativecomputedtomography AT zhouheping evaluationofdynamiclungchangesduringcoronavirusdisease2019covid19byquantitativecomputedtomography AT guoyoumin evaluationofdynamiclungchangesduringcoronavirusdisease2019covid19byquantitativecomputedtomography |