Fractal analysis of the structural complexity of the connective tissue in human carotid bodies
The carotid body may undergo different structural changes during perinatal development, aging, or in response to environmental stimuli. In the previous literature, morphometric approaches to evaluate these changes have considered quantitative first order parameters, such as volumes or densities, whi...
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doaj-545d55383efd436b98c72ceb88a5830f2020-11-24T23:22:18ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2014-11-01510.3389/fphys.2014.00432118113Fractal analysis of the structural complexity of the connective tissue in human carotid bodiesDiego eGuidolin0Andrea ePorzionato1Cinzia eTortorella2Veronica eMacchi3Raffaele eDe Caro4University of PaduaUniversity of PaduaUniversity of PaduaUniversity of PaduaUniversity of PaduaThe carotid body may undergo different structural changes during perinatal development, aging, or in response to environmental stimuli. In the previous literature, morphometric approaches to evaluate these changes have considered quantitative first order parameters, such as volumes or densities, while changes in spatial disposition and/or complexity of structural components have not yet been considered. In the present study, different strategies for addressing morphological complexity of carotid body, apart from the overall amount of each tissue component, were evaluated and compared. In particular, we considered the spatial distribution of connective tissue in the carotid bodies of young control subjects, young opiate-related deaths and aged subjects, through analysis of dispersion (Morisita’s index), gray level co-occurrence matrix (entropy, angular second moment, variance, correlation), and fractal analysis (fractal dimension, lacunarity). Opiate-related deaths and aged subjects showed a comparable increase in connective tissue with respect to young controls. However, the Morisita’s index (p<0.05), angular second moment (p<0.05), fractal dimension (p<0.01) and lacunarity (p<0.01) permitted to identify significant differences in the disposition of the connective tissue between these two series. A receiver operating characteristic (ROC) curve was also calculated to evaluate the efficiency of each parameter. The fractal dimension and lacunarity, with areas under the ROC curve of 0.9651 (excellent accuracy) and 0.8835 (good accuracy), respectively, showed the highest discriminatory power. They evidenced higher level of structural complexity in the carotid bodies of opiate-related deaths than old controls, due to more complex branching of intralobular connective tissue. Further analyses will have to consider the suitability of these approaches to address other morphological features of the carotid body, such as different cell populations, vascularization, and innervathttp://journal.frontiersin.org/Journal/10.3389/fphys.2014.00432/fullAgingCarotid BodyHeroinmorphometryFractal parametersCo-occurrence matrix |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Diego eGuidolin Andrea ePorzionato Cinzia eTortorella Veronica eMacchi Raffaele eDe Caro |
spellingShingle |
Diego eGuidolin Andrea ePorzionato Cinzia eTortorella Veronica eMacchi Raffaele eDe Caro Fractal analysis of the structural complexity of the connective tissue in human carotid bodies Frontiers in Physiology Aging Carotid Body Heroin morphometry Fractal parameters Co-occurrence matrix |
author_facet |
Diego eGuidolin Andrea ePorzionato Cinzia eTortorella Veronica eMacchi Raffaele eDe Caro |
author_sort |
Diego eGuidolin |
title |
Fractal analysis of the structural complexity of the connective tissue in human carotid bodies |
title_short |
Fractal analysis of the structural complexity of the connective tissue in human carotid bodies |
title_full |
Fractal analysis of the structural complexity of the connective tissue in human carotid bodies |
title_fullStr |
Fractal analysis of the structural complexity of the connective tissue in human carotid bodies |
title_full_unstemmed |
Fractal analysis of the structural complexity of the connective tissue in human carotid bodies |
title_sort |
fractal analysis of the structural complexity of the connective tissue in human carotid bodies |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Physiology |
issn |
1664-042X |
publishDate |
2014-11-01 |
description |
The carotid body may undergo different structural changes during perinatal development, aging, or in response to environmental stimuli. In the previous literature, morphometric approaches to evaluate these changes have considered quantitative first order parameters, such as volumes or densities, while changes in spatial disposition and/or complexity of structural components have not yet been considered. In the present study, different strategies for addressing morphological complexity of carotid body, apart from the overall amount of each tissue component, were evaluated and compared. In particular, we considered the spatial distribution of connective tissue in the carotid bodies of young control subjects, young opiate-related deaths and aged subjects, through analysis of dispersion (Morisita’s index), gray level co-occurrence matrix (entropy, angular second moment, variance, correlation), and fractal analysis (fractal dimension, lacunarity). Opiate-related deaths and aged subjects showed a comparable increase in connective tissue with respect to young controls. However, the Morisita’s index (p<0.05), angular second moment (p<0.05), fractal dimension (p<0.01) and lacunarity (p<0.01) permitted to identify significant differences in the disposition of the connective tissue between these two series. A receiver operating characteristic (ROC) curve was also calculated to evaluate the efficiency of each parameter. The fractal dimension and lacunarity, with areas under the ROC curve of 0.9651 (excellent accuracy) and 0.8835 (good accuracy), respectively, showed the highest discriminatory power. They evidenced higher level of structural complexity in the carotid bodies of opiate-related deaths than old controls, due to more complex branching of intralobular connective tissue. Further analyses will have to consider the suitability of these approaches to address other morphological features of the carotid body, such as different cell populations, vascularization, and innervat |
topic |
Aging Carotid Body Heroin morphometry Fractal parameters Co-occurrence matrix |
url |
http://journal.frontiersin.org/Journal/10.3389/fphys.2014.00432/full |
work_keys_str_mv |
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