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Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis
BACKGROUND/AIM: To investigate the changes in the spleen size, parenchymal heterogeneity, and computed tomography (CT) texture analysis features of patients diagnosed with Coronavirus disease 2019 (COVID-19) MATERIALS AND METHODS: The size and parenchymal structure of the spleen in 91 patients who u...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Scientific and Technological Research Council of Turkey
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283514/ https://www.ncbi.nlm.nih.gov/pubmed/33421971 http://dx.doi.org/10.3906/sag-2009-270 |
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author | BATUR, Abdussamet KILINÇER, Abidin ATEŞ, Fatih DEMİR, Nazlım Aktuğ ERGÜN, Recai |
author_facet | BATUR, Abdussamet KILINÇER, Abidin ATEŞ, Fatih DEMİR, Nazlım Aktuğ ERGÜN, Recai |
author_sort | BATUR, Abdussamet |
collection | PubMed |
description | BACKGROUND/AIM: To investigate the changes in the spleen size, parenchymal heterogeneity, and computed tomography (CT) texture analysis features of patients diagnosed with Coronavirus disease 2019 (COVID-19) MATERIALS AND METHODS: The size and parenchymal structure of the spleen in 91 patients who underwent thoracic CT examination due to COVID-19 were evaluated. For the evaluation of parenchymal heterogeneity, CT texture analysis was performed using dedicated software (Olea Medical, France). The texture analysis of each case consisted of 15 first-order intensity-based features, 17 gray level co-occurrence matrix-based features, and 9 gray level run length matrix-based features. RESULTS: A total of 91 patients (45 males, 46 females) with a mean age of 54.31 ± 16.33 years (range: 18–81) were included in the study. A statistically significant decrease in spleen size was seen in the follow-up CT examinations (p < 0.001) whereas no statistically significant difference was found between the Hounsfield unit (HU) values. The radiomics consisted of first-order intensity-based features such as 90th percentile, maximum, interquartile range, range, mean absolute deviation, standard deviation, and variance, all of which showed statistically significant differences (p - values: < 0.001, < 0.001, 0.001, 0.003, 0.001, 0.001, and 0.004, respectively). “Correlation” as a gray level co-occurrence matrix-based feature and “gray level nonuniformity” as a gray level run length matrix-based feature showed statistically differences (p-values: 0.033 and < 0.001, respectively). CONCLUSIONS: Although COVID-19 manifests with lung involvement in the early stage, it can also cause systemic involvement, and the spleen may be one of its target organs. A decrease in the spleen size and parenchymal microstructure changes can be observed in the short follow-up time. It is hoped that the changes in the parenchymal microstructure will be demonstrated by a noninvasive method: texture analysis. |
format | Online Article Text |
id | pubmed-8283514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Scientific and Technological Research Council of Turkey |
record_format | MEDLINE/PubMed |
spelling | pubmed-82835142021-08-02 Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis BATUR, Abdussamet KILINÇER, Abidin ATEŞ, Fatih DEMİR, Nazlım Aktuğ ERGÜN, Recai Turk J Med Sci Article BACKGROUND/AIM: To investigate the changes in the spleen size, parenchymal heterogeneity, and computed tomography (CT) texture analysis features of patients diagnosed with Coronavirus disease 2019 (COVID-19) MATERIALS AND METHODS: The size and parenchymal structure of the spleen in 91 patients who underwent thoracic CT examination due to COVID-19 were evaluated. For the evaluation of parenchymal heterogeneity, CT texture analysis was performed using dedicated software (Olea Medical, France). The texture analysis of each case consisted of 15 first-order intensity-based features, 17 gray level co-occurrence matrix-based features, and 9 gray level run length matrix-based features. RESULTS: A total of 91 patients (45 males, 46 females) with a mean age of 54.31 ± 16.33 years (range: 18–81) were included in the study. A statistically significant decrease in spleen size was seen in the follow-up CT examinations (p < 0.001) whereas no statistically significant difference was found between the Hounsfield unit (HU) values. The radiomics consisted of first-order intensity-based features such as 90th percentile, maximum, interquartile range, range, mean absolute deviation, standard deviation, and variance, all of which showed statistically significant differences (p - values: < 0.001, < 0.001, 0.001, 0.003, 0.001, 0.001, and 0.004, respectively). “Correlation” as a gray level co-occurrence matrix-based feature and “gray level nonuniformity” as a gray level run length matrix-based feature showed statistically differences (p-values: 0.033 and < 0.001, respectively). CONCLUSIONS: Although COVID-19 manifests with lung involvement in the early stage, it can also cause systemic involvement, and the spleen may be one of its target organs. A decrease in the spleen size and parenchymal microstructure changes can be observed in the short follow-up time. It is hoped that the changes in the parenchymal microstructure will be demonstrated by a noninvasive method: texture analysis. The Scientific and Technological Research Council of Turkey 2021-06-28 /pmc/articles/PMC8283514/ /pubmed/33421971 http://dx.doi.org/10.3906/sag-2009-270 Text en Copyright © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Article BATUR, Abdussamet KILINÇER, Abidin ATEŞ, Fatih DEMİR, Nazlım Aktuğ ERGÜN, Recai Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis |
title | Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis |
title_full | Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis |
title_fullStr | Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis |
title_full_unstemmed | Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis |
title_short | Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis |
title_sort | evaluation of systemic involvement of coronavirus disease 2019 through spleen; size and texture analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283514/ https://www.ncbi.nlm.nih.gov/pubmed/33421971 http://dx.doi.org/10.3906/sag-2009-270 |
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