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Left ventricular noncompaction in pediatric population: could cardiovascular magnetic resonance derived fractal analysis aid diagnosis?

BACKGROUND: Cardiovascular magnetic resonance (CMR) derived fractal analysis of the left ventricle (LV) has been shown in adults to be a useful quantitative measure of trabeculation with high reproducibility and accuracy for the diagnosis of LV non-compaction (LVNC). The aim of this study was to inv...

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Autores principales: Krupickova, Sylvia, Hatipoglu, Suzan, DiSalvo, Giovanni, Voges, Inga, Redfearn, Daniel, Foldvari, Sandrine, Eichhorn, Christian, Chivers, Sian, Puricelli, Filippo, Delle-Donne, Grazia, Barth, Courtney, Pennell, Dudley J., Prasad, Sanjay K., Daubeney, Piers E. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8265058/
https://www.ncbi.nlm.nih.gov/pubmed/34233715
http://dx.doi.org/10.1186/s12968-021-00778-5
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author Krupickova, Sylvia
Hatipoglu, Suzan
DiSalvo, Giovanni
Voges, Inga
Redfearn, Daniel
Foldvari, Sandrine
Eichhorn, Christian
Chivers, Sian
Puricelli, Filippo
Delle-Donne, Grazia
Barth, Courtney
Pennell, Dudley J.
Prasad, Sanjay K.
Daubeney, Piers E. F.
author_facet Krupickova, Sylvia
Hatipoglu, Suzan
DiSalvo, Giovanni
Voges, Inga
Redfearn, Daniel
Foldvari, Sandrine
Eichhorn, Christian
Chivers, Sian
Puricelli, Filippo
Delle-Donne, Grazia
Barth, Courtney
Pennell, Dudley J.
Prasad, Sanjay K.
Daubeney, Piers E. F.
author_sort Krupickova, Sylvia
collection PubMed
description BACKGROUND: Cardiovascular magnetic resonance (CMR) derived fractal analysis of the left ventricle (LV) has been shown in adults to be a useful quantitative measure of trabeculation with high reproducibility and accuracy for the diagnosis of LV non-compaction (LVNC). The aim of this study was to investigate the utility and feasibility of fractal analysis in children. METHODS: Eighty-four subjects underwent CMR: (1) 28 patients with LVNC (as defined by the Petersen criteria with NC/C ratio [Formula: see text] 2.3); (2) 28 patients referred by clinicians for assessment of hyper-trabeculation and found not to qualify as LVNC (NC/C [Formula: see text] 1.8 and < 2.3); (3) 28 controls. The fractal scores for each group were presented as global and maximal fractal dimension as well as for 3 segments of the LV: basal, mid, and apical. Statistical comparison of the fractal scores between the 3 groups was performed. RESULTS: Global fractal dimension (FD) was higher in the LVNC group than in the hyper-trabeculated group: 1.345 (SEM 0.053) vs 1.252 (SEM 0.034), p < 0.001 and higher in hyper-trabeculated group than in controls: 1.252 (SEM 0.034) vs 1.158 (SEM 0.038), p < 0.001. The highest maximum FD was in the apical portion of the LV in the LVNC group, (1.467; SEM 0.035) whereas it was in the mid ventricle in the hyper-trabeculated (1.327; SEM 0.025) and healthy groups (1.251; SEM 0.042). Fractal analysis showed lower intra- and interobserver variability than the Petersen and Jacquier methods. CONCLUSIONS: It is technically feasible to perform fractal analysis in children using CMR and that it is quick, accurate and reproducible. Fractal scoring accurately distinguishes between LVNC, hyper-trabeculation and healthy controls as defined by the Petersen criteria.
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spelling pubmed-82650582021-07-08 Left ventricular noncompaction in pediatric population: could cardiovascular magnetic resonance derived fractal analysis aid diagnosis? Krupickova, Sylvia Hatipoglu, Suzan DiSalvo, Giovanni Voges, Inga Redfearn, Daniel Foldvari, Sandrine Eichhorn, Christian Chivers, Sian Puricelli, Filippo Delle-Donne, Grazia Barth, Courtney Pennell, Dudley J. Prasad, Sanjay K. Daubeney, Piers E. F. J Cardiovasc Magn Reson Research BACKGROUND: Cardiovascular magnetic resonance (CMR) derived fractal analysis of the left ventricle (LV) has been shown in adults to be a useful quantitative measure of trabeculation with high reproducibility and accuracy for the diagnosis of LV non-compaction (LVNC). The aim of this study was to investigate the utility and feasibility of fractal analysis in children. METHODS: Eighty-four subjects underwent CMR: (1) 28 patients with LVNC (as defined by the Petersen criteria with NC/C ratio [Formula: see text] 2.3); (2) 28 patients referred by clinicians for assessment of hyper-trabeculation and found not to qualify as LVNC (NC/C [Formula: see text] 1.8 and < 2.3); (3) 28 controls. The fractal scores for each group were presented as global and maximal fractal dimension as well as for 3 segments of the LV: basal, mid, and apical. Statistical comparison of the fractal scores between the 3 groups was performed. RESULTS: Global fractal dimension (FD) was higher in the LVNC group than in the hyper-trabeculated group: 1.345 (SEM 0.053) vs 1.252 (SEM 0.034), p < 0.001 and higher in hyper-trabeculated group than in controls: 1.252 (SEM 0.034) vs 1.158 (SEM 0.038), p < 0.001. The highest maximum FD was in the apical portion of the LV in the LVNC group, (1.467; SEM 0.035) whereas it was in the mid ventricle in the hyper-trabeculated (1.327; SEM 0.025) and healthy groups (1.251; SEM 0.042). Fractal analysis showed lower intra- and interobserver variability than the Petersen and Jacquier methods. CONCLUSIONS: It is technically feasible to perform fractal analysis in children using CMR and that it is quick, accurate and reproducible. Fractal scoring accurately distinguishes between LVNC, hyper-trabeculation and healthy controls as defined by the Petersen criteria. BioMed Central 2021-07-08 /pmc/articles/PMC8265058/ /pubmed/34233715 http://dx.doi.org/10.1186/s12968-021-00778-5 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
Krupickova, Sylvia
Hatipoglu, Suzan
DiSalvo, Giovanni
Voges, Inga
Redfearn, Daniel
Foldvari, Sandrine
Eichhorn, Christian
Chivers, Sian
Puricelli, Filippo
Delle-Donne, Grazia
Barth, Courtney
Pennell, Dudley J.
Prasad, Sanjay K.
Daubeney, Piers E. F.
Left ventricular noncompaction in pediatric population: could cardiovascular magnetic resonance derived fractal analysis aid diagnosis?
title Left ventricular noncompaction in pediatric population: could cardiovascular magnetic resonance derived fractal analysis aid diagnosis?
title_full Left ventricular noncompaction in pediatric population: could cardiovascular magnetic resonance derived fractal analysis aid diagnosis?
title_fullStr Left ventricular noncompaction in pediatric population: could cardiovascular magnetic resonance derived fractal analysis aid diagnosis?
title_full_unstemmed Left ventricular noncompaction in pediatric population: could cardiovascular magnetic resonance derived fractal analysis aid diagnosis?
title_short Left ventricular noncompaction in pediatric population: could cardiovascular magnetic resonance derived fractal analysis aid diagnosis?
title_sort left ventricular noncompaction in pediatric population: could cardiovascular magnetic resonance derived fractal analysis aid diagnosis?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8265058/
https://www.ncbi.nlm.nih.gov/pubmed/34233715
http://dx.doi.org/10.1186/s12968-021-00778-5
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