Novel coronavirus disease 2019 (COVID-19): relationship between chest CT scores and laboratory parameters
Purpose To quantify the severity of 2019 novel coronavirus disease (COVID-19) on chest CT and to determine its relationship with laboratory parameters. Methods Patients with real-time fluorescence polymerase chain reaction (RT-PCR)–confirmed COVID-19 between January 01 and February 18, 2020, were in...
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Published in | European journal of nuclear medicine and molecular imaging Vol. 47; no. 9; pp. 2083 - 2089 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.08.2020
Springer Nature B.V |
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Abstract | Purpose
To quantify the severity of 2019 novel coronavirus disease (COVID-19) on chest CT and to determine its relationship with laboratory parameters.
Methods
Patients with real-time fluorescence polymerase chain reaction (RT-PCR)–confirmed COVID-19 between January 01 and February 18, 2020, were included in this study. Laboratory parameters were retrospectively collected from medical records. Severity of lung changes on chest CT of early, progressive, peak, and absorption stages was scored according to the percentage of lung involvement (5 lobes, scores 1–5 for each lobe, range 0–20). Relationship between CT scores and laboratory parameters was evaluated by the Spearman rank correlation. The Bonferroni correction adjusted significance level was at 0.05/4 = 0.0125.
Results
A total of 84 patients (mean age, 47.8 ± 12.0 years [standard deviation]; age range, 24–80 years) were evaluated. The patients underwent a total of 339 chest CT scans with a median interval of 4 days (interquartile range, 3–5 days). Median chest CT scores peaked at 4 days after the beginning of treatment and then declined. CT score of the early stage was correlated with neutrophil count (
r
= 0.531,
P
= 0.011). CT score of the progressive stage was correlated with neutrophil count (
r
= 0.502,
P
< 0.001), white blood cell count (
r
= 0.414,
P
= 0.001), C-reactive protein (
r
= 0.511,
P
< 0.001), procalcitonin (
r
= 0.423,
P
= 0.004), and lactose dehydrogenase (
r
= 0.369,
P
= 0.010). However, CT scores of the peak and absorption stages were not correlated with any parameter (
P
> 0.0125). No sex difference occurred regarding CT score (
P
> 0.05).
Conclusion
Severity of lung abnormalities quantified on chest CT might correlate with laboratory parameters in the early and progressive stages. However, larger cohort studies are necessary. |
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AbstractList | PURPOSETo quantify the severity of 2019 novel coronavirus disease (COVID-19) on chest CT and to determine its relationship with laboratory parameters. METHODSPatients with real-time fluorescence polymerase chain reaction (RT-PCR)-confirmed COVID-19 between January 01 and February 18, 2020, were included in this study. Laboratory parameters were retrospectively collected from medical records. Severity of lung changes on chest CT of early, progressive, peak, and absorption stages was scored according to the percentage of lung involvement (5 lobes, scores 1-5 for each lobe, range 0-20). Relationship between CT scores and laboratory parameters was evaluated by the Spearman rank correlation. The Bonferroni correction adjusted significance level was at 0.05/4 = 0.0125. RESULTSA total of 84 patients (mean age, 47.8 ± 12.0 years [standard deviation]; age range, 24-80 years) were evaluated. The patients underwent a total of 339 chest CT scans with a median interval of 4 days (interquartile range, 3-5 days). Median chest CT scores peaked at 4 days after the beginning of treatment and then declined. CT score of the early stage was correlated with neutrophil count (r = 0.531, P = 0.011). CT score of the progressive stage was correlated with neutrophil count (r = 0.502, P < 0.001), white blood cell count (r = 0.414, P = 0.001), C-reactive protein (r = 0.511, P < 0.001), procalcitonin (r = 0.423, P = 0.004), and lactose dehydrogenase (r = 0.369, P = 0.010). However, CT scores of the peak and absorption stages were not correlated with any parameter (P > 0.0125). No sex difference occurred regarding CT score (P > 0.05). CONCLUSIONSeverity of lung abnormalities quantified on chest CT might correlate with laboratory parameters in the early and progressive stages. However, larger cohort studies are necessary. To quantify the severity of 2019 novel coronavirus disease (COVID-19) on chest CT and to determine its relationship with laboratory parameters. Patients with real-time fluorescence polymerase chain reaction (RT-PCR)-confirmed COVID-19 between January 01 and February 18, 2020, were included in this study. Laboratory parameters were retrospectively collected from medical records. Severity of lung changes on chest CT of early, progressive, peak, and absorption stages was scored according to the percentage of lung involvement (5 lobes, scores 1-5 for each lobe, range 0-20). Relationship between CT scores and laboratory parameters was evaluated by the Spearman rank correlation. The Bonferroni correction adjusted significance level was at 0.05/4 = 0.0125. A total of 84 patients (mean age, 47.8 ± 12.0 years [standard deviation]; age range, 24-80 years) were evaluated. The patients underwent a total of 339 chest CT scans with a median interval of 4 days (interquartile range, 3-5 days). Median chest CT scores peaked at 4 days after the beginning of treatment and then declined. CT score of the early stage was correlated with neutrophil count (r = 0.531, P = 0.011). CT score of the progressive stage was correlated with neutrophil count (r = 0.502, P < 0.001), white blood cell count (r = 0.414, P = 0.001), C-reactive protein (r = 0.511, P < 0.001), procalcitonin (r = 0.423, P = 0.004), and lactose dehydrogenase (r = 0.369, P = 0.010). However, CT scores of the peak and absorption stages were not correlated with any parameter (P > 0.0125). No sex difference occurred regarding CT score (P > 0.05). Severity of lung abnormalities quantified on chest CT might correlate with laboratory parameters in the early and progressive stages. However, larger cohort studies are necessary. Purpose To quantify the severity of 2019 novel coronavirus disease (COVID-19) on chest CT and to determine its relationship with laboratory parameters. Methods Patients with real-time fluorescence polymerase chain reaction (RT-PCR)–confirmed COVID-19 between January 01 and February 18, 2020, were included in this study. Laboratory parameters were retrospectively collected from medical records. Severity of lung changes on chest CT of early, progressive, peak, and absorption stages was scored according to the percentage of lung involvement (5 lobes, scores 1–5 for each lobe, range 0–20). Relationship between CT scores and laboratory parameters was evaluated by the Spearman rank correlation. The Bonferroni correction adjusted significance level was at 0.05/4 = 0.0125. Results A total of 84 patients (mean age, 47.8 ± 12.0 years [standard deviation]; age range, 24–80 years) were evaluated. The patients underwent a total of 339 chest CT scans with a median interval of 4 days (interquartile range, 3–5 days). Median chest CT scores peaked at 4 days after the beginning of treatment and then declined. CT score of the early stage was correlated with neutrophil count ( r = 0.531, P = 0.011). CT score of the progressive stage was correlated with neutrophil count ( r = 0.502, P < 0.001), white blood cell count ( r = 0.414, P = 0.001), C-reactive protein ( r = 0.511, P < 0.001), procalcitonin ( r = 0.423, P = 0.004), and lactose dehydrogenase ( r = 0.369, P = 0.010). However, CT scores of the peak and absorption stages were not correlated with any parameter ( P > 0.0125). No sex difference occurred regarding CT score ( P > 0.05). Conclusion Severity of lung abnormalities quantified on chest CT might correlate with laboratory parameters in the early and progressive stages. However, larger cohort studies are necessary. |
Author | Chen, Qiuying Chen, Hui Chen, Zhuozhi Yang, Ke Zhang, Jue Zhang, Bin Zhang, Shuixing Li, Minmin You, Jingjing Chen, Luyan |
Author_xml | – sequence: 1 givenname: Bin surname: Zhang fullname: Zhang, Bin organization: Department of Radiology, The First Affiliated Hospital of Jinan University – sequence: 2 givenname: Jue surname: Zhang fullname: Zhang, Jue organization: Department of Radiology, The First People’s Hospital of Tianmen City – sequence: 3 givenname: Hui surname: Chen fullname: Chen, Hui organization: Department of Oncology, The First People’s Hospital of Tianmen City – sequence: 4 givenname: Luyan surname: Chen fullname: Chen, Luyan organization: Department of Radiology, The First Affiliated Hospital of Jinan University – sequence: 5 givenname: Qiuying surname: Chen fullname: Chen, Qiuying organization: Department of Radiology, The First Affiliated Hospital of Jinan University – sequence: 6 givenname: Minmin surname: Li fullname: Li, Minmin organization: Department of Radiology, The First Affiliated Hospital of Jinan University – sequence: 7 givenname: Zhuozhi surname: Chen fullname: Chen, Zhuozhi organization: Department of Radiology, The First Affiliated Hospital of Jinan University – sequence: 8 givenname: Jingjing surname: You fullname: You, Jingjing organization: Department of Radiology, The First Affiliated Hospital of Jinan University – sequence: 9 givenname: Ke surname: Yang fullname: Yang, Ke email: tmyangke2019@sina.com organization: Department of Radiology, The First People’s Hospital of Tianmen City – sequence: 10 givenname: Shuixing orcidid: 0000-0001-7377-382X surname: Zhang fullname: Zhang, Shuixing email: shui7515@126.com organization: Department of Radiology, The First Affiliated Hospital of Jinan University |
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Keywords | COVID-19 Chest CT Laboratory parameters |
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License | This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
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To quantify the severity of 2019 novel coronavirus disease (COVID-19) on chest CT and to determine its relationship with laboratory parameters.
Methods... To quantify the severity of 2019 novel coronavirus disease (COVID-19) on chest CT and to determine its relationship with laboratory parameters. Patients with... PurposeTo quantify the severity of 2019 novel coronavirus disease (COVID-19) on chest CT and to determine its relationship with laboratory... PURPOSETo quantify the severity of 2019 novel coronavirus disease (COVID-19) on chest CT and to determine its relationship with laboratory parameters.... |
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SubjectTerms | Abnormalities Absorption Adult Aged Aged, 80 and over C-reactive protein Cardiology Chest Computed tomography Coronaviridae Coronavirus Infections - diagnostic imaging Coronaviruses COVID-19 Female Fluorescence Humans Imaging Infection and inflammation Laboratories Lactose Leukocytes Lungs Male Medical records Medicine Medicine & Public Health Middle Aged Neutrophils Nuclear Medicine Oncology Original Original Article Orthopedics Pandemics Parameters Patients Pneumonia, Viral - diagnostic imaging Polymerase chain reaction Procalcitonin Radiography, Thoracic Radiology Tomography, X-Ray Computed Viral diseases Young Adult |
Title | Novel coronavirus disease 2019 (COVID-19): relationship between chest CT scores and laboratory parameters |
URI | https://link.springer.com/article/10.1007/s00259-020-04854-3 https://www.ncbi.nlm.nih.gov/pubmed/32399620 https://www.proquest.com/docview/2420340488/abstract/ https://search.proquest.com/docview/2402424096 https://pubmed.ncbi.nlm.nih.gov/PMC7215122 |
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