Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: BATUR, Abdussamet, KILINÇER, Abidin, ATEŞ, Fatih, DEMİR, Nazlım Aktuğ, ERGÜN, Recai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Scientific and Technological Research Council of Turkey 2021
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
_version_ 1783723220372815872
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
work_keys_str_mv AT baturabdussamet evaluationofsystemicinvolvementofcoronavirusdisease2019throughspleensizeandtextureanalysis
AT kilincerabidin evaluationofsystemicinvolvementofcoronavirusdisease2019throughspleensizeandtextureanalysis
AT atesfatih evaluationofsystemicinvolvementofcoronavirusdisease2019throughspleensizeandtextureanalysis
AT demirnazlımaktug evaluationofsystemicinvolvementofcoronavirusdisease2019throughspleensizeandtextureanalysis
AT ergunrecai evaluationofsystemicinvolvementofcoronavirusdisease2019throughspleensizeandtextureanalysis