Cargando…

Quantification of left ventricular trabeculae using fractal analysis

BACKGROUND: Left ventricular noncompaction (LVNC) is a myocardial disorder characterized by excessive left ventricular (LV) trabeculae. Current methods for quantification of LV trabeculae have limitations. The aim of this study is to describe a novel technique for quantifying LV trabeculation using...

Descripción completa

Detalles Bibliográficos
Autores principales: Captur, Gabriella, Muthurangu, Vivek, Cook, Christopher, Flett, Andrew S, Wilson, Robert, Barison, Andrea, Sado, Daniel M, Anderson, Sarah, McKenna, William J, Mohun, Timothy J, Elliott, Perry M, Moon, James C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680331/
https://www.ncbi.nlm.nih.gov/pubmed/23663522
http://dx.doi.org/10.1186/1532-429X-15-36
_version_ 1782273106279137280
author Captur, Gabriella
Muthurangu, Vivek
Cook, Christopher
Flett, Andrew S
Wilson, Robert
Barison, Andrea
Sado, Daniel M
Anderson, Sarah
McKenna, William J
Mohun, Timothy J
Elliott, Perry M
Moon, James C
author_facet Captur, Gabriella
Muthurangu, Vivek
Cook, Christopher
Flett, Andrew S
Wilson, Robert
Barison, Andrea
Sado, Daniel M
Anderson, Sarah
McKenna, William J
Mohun, Timothy J
Elliott, Perry M
Moon, James C
author_sort Captur, Gabriella
collection PubMed
description BACKGROUND: Left ventricular noncompaction (LVNC) is a myocardial disorder characterized by excessive left ventricular (LV) trabeculae. Current methods for quantification of LV trabeculae have limitations. The aim of this study is to describe a novel technique for quantifying LV trabeculation using cardiovascular magnetic resonance (CMR) and fractal geometry. Observing that trabeculae appear complex and irregular, we hypothesize that measuring the fractal dimension (FD) of the endocardial border provides a quantitative parameter that can be used to distinguish normal from abnormal trabecular patterns. METHODS: Fractal analysis is a method of quantifying complex geometric patterns in biological structures. The resulting FD is a unitless measure index of how completely the object fills space. FD increases with increased structural complexity. LV FD was measured using a box-counting method on CMR short-axis cine stacks. Three groups were studied: LVNC (defined by Jenni criteria), n=30(age 41±13; men, 16); healthy whites, n=75(age, 46±16; men, 36); healthy blacks, n=30(age, 40±11; men, 15). RESULTS: In healthy volunteers FD varied in a characteristic pattern from base to apex along the LV. This pattern was altered in LVNC where apical FD were abnormally elevated. In healthy volunteers, blacks had higher FD than whites in the apical third of the LV (maximal apical FD: 1.253±0.005 vs. 1.235±0.004, p<0.01) (mean±s.e.m.). Comparing LVNC with healthy volunteers, maximal apical FD was higher in LVNC (1.392±0.010, p<0.00001). The fractal method was more accurate and reproducible (ICC, 0.97 and 0.96 for intra and inter-observer readings) than two other CMR criteria for LVNC (Petersen and Jacquier). CONCLUSIONS: FD is higher in LVNC patients compared to healthy volunteers and is higher in healthy blacks than in whites. Fractal analysis provides a quantitative measure of trabeculation and has high reproducibility and accuracy for LVNC diagnosis when compared to current CMR criteria.
format Online
Article
Text
id pubmed-3680331
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-36803312013-06-13 Quantification of left ventricular trabeculae using fractal analysis Captur, Gabriella Muthurangu, Vivek Cook, Christopher Flett, Andrew S Wilson, Robert Barison, Andrea Sado, Daniel M Anderson, Sarah McKenna, William J Mohun, Timothy J Elliott, Perry M Moon, James C J Cardiovasc Magn Reson Research BACKGROUND: Left ventricular noncompaction (LVNC) is a myocardial disorder characterized by excessive left ventricular (LV) trabeculae. Current methods for quantification of LV trabeculae have limitations. The aim of this study is to describe a novel technique for quantifying LV trabeculation using cardiovascular magnetic resonance (CMR) and fractal geometry. Observing that trabeculae appear complex and irregular, we hypothesize that measuring the fractal dimension (FD) of the endocardial border provides a quantitative parameter that can be used to distinguish normal from abnormal trabecular patterns. METHODS: Fractal analysis is a method of quantifying complex geometric patterns in biological structures. The resulting FD is a unitless measure index of how completely the object fills space. FD increases with increased structural complexity. LV FD was measured using a box-counting method on CMR short-axis cine stacks. Three groups were studied: LVNC (defined by Jenni criteria), n=30(age 41±13; men, 16); healthy whites, n=75(age, 46±16; men, 36); healthy blacks, n=30(age, 40±11; men, 15). RESULTS: In healthy volunteers FD varied in a characteristic pattern from base to apex along the LV. This pattern was altered in LVNC where apical FD were abnormally elevated. In healthy volunteers, blacks had higher FD than whites in the apical third of the LV (maximal apical FD: 1.253±0.005 vs. 1.235±0.004, p<0.01) (mean±s.e.m.). Comparing LVNC with healthy volunteers, maximal apical FD was higher in LVNC (1.392±0.010, p<0.00001). The fractal method was more accurate and reproducible (ICC, 0.97 and 0.96 for intra and inter-observer readings) than two other CMR criteria for LVNC (Petersen and Jacquier). CONCLUSIONS: FD is higher in LVNC patients compared to healthy volunteers and is higher in healthy blacks than in whites. Fractal analysis provides a quantitative measure of trabeculation and has high reproducibility and accuracy for LVNC diagnosis when compared to current CMR criteria. BioMed Central 2013-05-10 /pmc/articles/PMC3680331/ /pubmed/23663522 http://dx.doi.org/10.1186/1532-429X-15-36 Text en Copyright © 2013 Captur 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 Research
Captur, Gabriella
Muthurangu, Vivek
Cook, Christopher
Flett, Andrew S
Wilson, Robert
Barison, Andrea
Sado, Daniel M
Anderson, Sarah
McKenna, William J
Mohun, Timothy J
Elliott, Perry M
Moon, James C
Quantification of left ventricular trabeculae using fractal analysis
title Quantification of left ventricular trabeculae using fractal analysis
title_full Quantification of left ventricular trabeculae using fractal analysis
title_fullStr Quantification of left ventricular trabeculae using fractal analysis
title_full_unstemmed Quantification of left ventricular trabeculae using fractal analysis
title_short Quantification of left ventricular trabeculae using fractal analysis
title_sort quantification of left ventricular trabeculae using fractal analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680331/
https://www.ncbi.nlm.nih.gov/pubmed/23663522
http://dx.doi.org/10.1186/1532-429X-15-36
work_keys_str_mv AT capturgabriella quantificationofleftventriculartrabeculaeusingfractalanalysis
AT muthuranguvivek quantificationofleftventriculartrabeculaeusingfractalanalysis
AT cookchristopher quantificationofleftventriculartrabeculaeusingfractalanalysis
AT flettandrews quantificationofleftventriculartrabeculaeusingfractalanalysis
AT wilsonrobert quantificationofleftventriculartrabeculaeusingfractalanalysis
AT barisonandrea quantificationofleftventriculartrabeculaeusingfractalanalysis
AT sadodanielm quantificationofleftventriculartrabeculaeusingfractalanalysis
AT andersonsarah quantificationofleftventriculartrabeculaeusingfractalanalysis
AT mckennawilliamj quantificationofleftventriculartrabeculaeusingfractalanalysis
AT mohuntimothyj quantificationofleftventriculartrabeculaeusingfractalanalysis
AT elliottperrym quantificationofleftventriculartrabeculaeusingfractalanalysis
AT moonjamesc quantificationofleftventriculartrabeculaeusingfractalanalysis