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Dual-layer spectral detector CT to study the correlation between pericoronary adipose tissue and coronary artery stenosis
BACKGROUND: To investigate the relationship of pericoronary adipose tissue (PCAT) with coronary artery stenosis using dual-layer spectral detector CT (SDCT). METHODS: 99 patients were retrospectively divided into normal group, non-significant stenosis group and significant stenosis group (n = 33 in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574033/ https://www.ncbi.nlm.nih.gov/pubmed/34743735 http://dx.doi.org/10.1186/s13019-021-01709-2 |
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author | Zhu, Xiaolong Chen, Xujiao Ma, Shaowei Zhou, Ke Hou, Yang |
author_facet | Zhu, Xiaolong Chen, Xujiao Ma, Shaowei Zhou, Ke Hou, Yang |
author_sort | Zhu, Xiaolong |
collection | PubMed |
description | BACKGROUND: To investigate the relationship of pericoronary adipose tissue (PCAT) with coronary artery stenosis using dual-layer spectral detector CT (SDCT). METHODS: 99 patients were retrospectively divided into normal group, non-significant stenosis group and significant stenosis group (n = 33 in each group). Fat attenuation index (FAI) 40kev, spectral curve slope (λHU), effective atomic number (Eff-Z) and epicardial fat volume (EFV) were quantitatively evaluated of the narrowest part of the lesion tissue by SDCT. RESULTS: There were significant differences in PCAT parameters on SDCT (FAI40keV, λHU, Eff-Z and EFV) among the three groups (P < 0.05). FAI40keV, λHU, and Eff-Z in significant stenosis group were statistically different from those in normal group and non-significant stenosis group (P < 0.05). FAI40keV, λHU, and Eff-Z in non-significant stenosis group were statistically different from significant stenosis group (P < 0.05). EFV in normal group were significantly lower in non-significant stenosis group and significant stenosis group (P < 0.001). Univariate and multivariate logistic regression analyses identified FAI40keV (OR = 1.50, 95%CI 1.01 to 1.09) and λHU (OR = 6.81, 95%CI 1.87 to 24.86) as independent predictors of significant stenosis. FAI40keV and λHU had quite good discrimination, with an AUC of 0.84 and 0.80 respectively. CONCLUSION: FAI40keV, λHU, and Eff-Z on SDCT in significant stenosis group were significantly different from normal and non-significant stenosis group while EFV in normal group were significantly different from non-significant stenosis group and significant stenosis group. FAI40kev and λHU were risk factors for significant stenosis. |
format | Online Article Text |
id | pubmed-8574033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85740332021-11-08 Dual-layer spectral detector CT to study the correlation between pericoronary adipose tissue and coronary artery stenosis Zhu, Xiaolong Chen, Xujiao Ma, Shaowei Zhou, Ke Hou, Yang J Cardiothorac Surg Research Article BACKGROUND: To investigate the relationship of pericoronary adipose tissue (PCAT) with coronary artery stenosis using dual-layer spectral detector CT (SDCT). METHODS: 99 patients were retrospectively divided into normal group, non-significant stenosis group and significant stenosis group (n = 33 in each group). Fat attenuation index (FAI) 40kev, spectral curve slope (λHU), effective atomic number (Eff-Z) and epicardial fat volume (EFV) were quantitatively evaluated of the narrowest part of the lesion tissue by SDCT. RESULTS: There were significant differences in PCAT parameters on SDCT (FAI40keV, λHU, Eff-Z and EFV) among the three groups (P < 0.05). FAI40keV, λHU, and Eff-Z in significant stenosis group were statistically different from those in normal group and non-significant stenosis group (P < 0.05). FAI40keV, λHU, and Eff-Z in non-significant stenosis group were statistically different from significant stenosis group (P < 0.05). EFV in normal group were significantly lower in non-significant stenosis group and significant stenosis group (P < 0.001). Univariate and multivariate logistic regression analyses identified FAI40keV (OR = 1.50, 95%CI 1.01 to 1.09) and λHU (OR = 6.81, 95%CI 1.87 to 24.86) as independent predictors of significant stenosis. FAI40keV and λHU had quite good discrimination, with an AUC of 0.84 and 0.80 respectively. CONCLUSION: FAI40keV, λHU, and Eff-Z on SDCT in significant stenosis group were significantly different from normal and non-significant stenosis group while EFV in normal group were significantly different from non-significant stenosis group and significant stenosis group. FAI40kev and λHU were risk factors for significant stenosis. BioMed Central 2021-11-07 /pmc/articles/PMC8574033/ /pubmed/34743735 http://dx.doi.org/10.1186/s13019-021-01709-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Zhu, Xiaolong Chen, Xujiao Ma, Shaowei Zhou, Ke Hou, Yang Dual-layer spectral detector CT to study the correlation between pericoronary adipose tissue and coronary artery stenosis |
title | Dual-layer spectral detector CT to study the correlation between pericoronary adipose tissue and coronary artery stenosis |
title_full | Dual-layer spectral detector CT to study the correlation between pericoronary adipose tissue and coronary artery stenosis |
title_fullStr | Dual-layer spectral detector CT to study the correlation between pericoronary adipose tissue and coronary artery stenosis |
title_full_unstemmed | Dual-layer spectral detector CT to study the correlation between pericoronary adipose tissue and coronary artery stenosis |
title_short | Dual-layer spectral detector CT to study the correlation between pericoronary adipose tissue and coronary artery stenosis |
title_sort | dual-layer spectral detector ct to study the correlation between pericoronary adipose tissue and coronary artery stenosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574033/ https://www.ncbi.nlm.nih.gov/pubmed/34743735 http://dx.doi.org/10.1186/s13019-021-01709-2 |
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