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Quantification of echodensities in tuberculous pericardial effusion using fractal geometry: a proof of concept study
BACKGROUND: The purpose of this study was to quantify the heterogeneous distribution of echodensities in the pericardial fluid of patients with tuberculous pericarditis using echocardiography and fractal analysis, and to determine whether there were differences in the fractal dimensions of effusive-...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3464936/ https://www.ncbi.nlm.nih.gov/pubmed/22838492 http://dx.doi.org/10.1186/1476-7120-10-30 |
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author | Ntsekhe, Mpiko Mayosi, Bongani M Gumbo, Tawanda |
author_facet | Ntsekhe, Mpiko Mayosi, Bongani M Gumbo, Tawanda |
author_sort | Ntsekhe, Mpiko |
collection | PubMed |
description | BACKGROUND: The purpose of this study was to quantify the heterogeneous distribution of echodensities in the pericardial fluid of patients with tuberculous pericarditis using echocardiography and fractal analysis, and to determine whether there were differences in the fractal dimensions of effusive-constrictive and effusive non-constrictive disease. METHODS: We used fractal geometry to quantify the echocardiographic densities in patients who were enrolled in the Investigation of the Management of Pericarditis in Africa (IMPI Africa) Registry. Sub-costal and four chamber images were included in the analysis if a minimum of two clearly identified fibrin strands were present and the quality of the images were of a standard which allowed for accurate measurement of the fractal dimension. The fractal dimension was calculated as follows: D(f) = limlog N(s)/[log (l/s)], where D(f) is the box counting fractal dimension of the fibrin strand, s is the side length of the box and N(s) is the smallest number of boxes of side length s to cover the outline of the object being measured. We compared the fractal dimension of echocardiographic findings in patients with effusive constrictive pericarditis to effusive non-constrictive pericardial effusion using the non-parametric Mann–Whitney test. RESULTS: Of the 14 echocardiographs from 14 participants that were selected for the study, 42.8% (6/14) of images were subcostal views while 57.1% (8/14) were 4-chamber views. Eight of the patients had tuberculous effusive constrictive pericarditis while 6 had tuberculous effusive non-constrictive pericarditis. The mean fractal dimension Df was 1.325 with a standard deviation (SD) of 0.146. The measured fibrin strand dimension exceeded the topological dimension in all the images over the entire range of grid scales with a correlation coefficient (r(2)) greater than 0.8 in the majority. The fractal dimension of echodensities was 1.359 ± 0.199 in effusive constrictive pericarditis compared to 1.330 ± 0.166 in effusive non-constrictive pericarditis (p = 0.595). CONCLUSIONS: The echocardiographic densities in tuberculous pericardial effusion have a fractal geometrical dimension which is similar in pure effusive and effusive constrictive disease. |
format | Online Article Text |
id | pubmed-3464936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34649362012-10-10 Quantification of echodensities in tuberculous pericardial effusion using fractal geometry: a proof of concept study Ntsekhe, Mpiko Mayosi, Bongani M Gumbo, Tawanda Cardiovasc Ultrasound Technical Notes BACKGROUND: The purpose of this study was to quantify the heterogeneous distribution of echodensities in the pericardial fluid of patients with tuberculous pericarditis using echocardiography and fractal analysis, and to determine whether there were differences in the fractal dimensions of effusive-constrictive and effusive non-constrictive disease. METHODS: We used fractal geometry to quantify the echocardiographic densities in patients who were enrolled in the Investigation of the Management of Pericarditis in Africa (IMPI Africa) Registry. Sub-costal and four chamber images were included in the analysis if a minimum of two clearly identified fibrin strands were present and the quality of the images were of a standard which allowed for accurate measurement of the fractal dimension. The fractal dimension was calculated as follows: D(f) = limlog N(s)/[log (l/s)], where D(f) is the box counting fractal dimension of the fibrin strand, s is the side length of the box and N(s) is the smallest number of boxes of side length s to cover the outline of the object being measured. We compared the fractal dimension of echocardiographic findings in patients with effusive constrictive pericarditis to effusive non-constrictive pericardial effusion using the non-parametric Mann–Whitney test. RESULTS: Of the 14 echocardiographs from 14 participants that were selected for the study, 42.8% (6/14) of images were subcostal views while 57.1% (8/14) were 4-chamber views. Eight of the patients had tuberculous effusive constrictive pericarditis while 6 had tuberculous effusive non-constrictive pericarditis. The mean fractal dimension Df was 1.325 with a standard deviation (SD) of 0.146. The measured fibrin strand dimension exceeded the topological dimension in all the images over the entire range of grid scales with a correlation coefficient (r(2)) greater than 0.8 in the majority. The fractal dimension of echodensities was 1.359 ± 0.199 in effusive constrictive pericarditis compared to 1.330 ± 0.166 in effusive non-constrictive pericarditis (p = 0.595). CONCLUSIONS: The echocardiographic densities in tuberculous pericardial effusion have a fractal geometrical dimension which is similar in pure effusive and effusive constrictive disease. BioMed Central 2012-07-28 /pmc/articles/PMC3464936/ /pubmed/22838492 http://dx.doi.org/10.1186/1476-7120-10-30 Text en Copyright ©2012 Ntsekhe et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Notes Ntsekhe, Mpiko Mayosi, Bongani M Gumbo, Tawanda Quantification of echodensities in tuberculous pericardial effusion using fractal geometry: a proof of concept study |
title | Quantification of echodensities in tuberculous pericardial effusion using fractal geometry: a proof of concept study |
title_full | Quantification of echodensities in tuberculous pericardial effusion using fractal geometry: a proof of concept study |
title_fullStr | Quantification of echodensities in tuberculous pericardial effusion using fractal geometry: a proof of concept study |
title_full_unstemmed | Quantification of echodensities in tuberculous pericardial effusion using fractal geometry: a proof of concept study |
title_short | Quantification of echodensities in tuberculous pericardial effusion using fractal geometry: a proof of concept study |
title_sort | quantification of echodensities in tuberculous pericardial effusion using fractal geometry: a proof of concept study |
topic | Technical Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3464936/ https://www.ncbi.nlm.nih.gov/pubmed/22838492 http://dx.doi.org/10.1186/1476-7120-10-30 |
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