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Multi-parametric assessment of left ventricular hypertrophy using late gadolinium enhancement, T1 mapping and strain-encoded cardiovascular magnetic resonance

AIM: To evaluate the ability of single heartbeat fast-strain encoded (SENC) cardiovascular magnetic resonance (CMR) derived myocardial strain to discriminate between different forms of left ventricular (LV) hypertrophy (LVH). METHODS: 314 patients (228 with hypertensive heart disease (HHD), 45 with...

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Autores principales: Giusca, Sorin, Steen, Henning, Montenbruck, Moritz, Patel, Amit R., Pieske, Burkert, Erley, Jennifer, Kelle, Sebastian, Korosoglou, Grigorios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273957/
https://www.ncbi.nlm.nih.gov/pubmed/34247623
http://dx.doi.org/10.1186/s12968-021-00775-8
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author Giusca, Sorin
Steen, Henning
Montenbruck, Moritz
Patel, Amit R.
Pieske, Burkert
Erley, Jennifer
Kelle, Sebastian
Korosoglou, Grigorios
author_facet Giusca, Sorin
Steen, Henning
Montenbruck, Moritz
Patel, Amit R.
Pieske, Burkert
Erley, Jennifer
Kelle, Sebastian
Korosoglou, Grigorios
author_sort Giusca, Sorin
collection PubMed
description AIM: To evaluate the ability of single heartbeat fast-strain encoded (SENC) cardiovascular magnetic resonance (CMR) derived myocardial strain to discriminate between different forms of left ventricular (LV) hypertrophy (LVH). METHODS: 314 patients (228 with hypertensive heart disease (HHD), 45 with hypertrophic cardiomyopathy (HCM), 41 with amyloidosis, 22 competitive athletes, and 33 healthy controls) were systematically analysed. LV ejection fraction (LVEF), LV mass index and interventricular septal (IVS) thickness, T1 mapping and atypical late gadolinium enhancement (LGE) were assessed. In addition, the percentage of LV myocardial segments with strain ≤ − 17% (%normal myocardium) was determined. RESULTS: Patients with amyloidosis and HCM exhibited the highest IVS thickness (17.4 ± 3.3 mm and 17.4 ± 6 mm, respectively, p < 0.05 vs. all other groups), whereas patients with amyloidosis showed the highest LV mass index (95.1 ± 20.1 g/m(2), p < 0.05 vs all others) and lower LVEF compared to controls (50.5 ± 9.8% vs 59.2 ± 5.5%, p < 0.05). Analysing subjects with mild to moderate hypertrophy (IVS 11–15 mm), %normal myocardium exhibited excellent and high precision, respectively for the differentiation between athletes vs. HCM (sensitivity and specificity = 100%, Area under the curve; AUC(%normalmyocardium) = 1.0, 95%CI = 0.85–1.0) and athletes vs. HHD (sensitivity = 83%, specificity = 75%, AUC(%normalmyocardium) = 0.85, 95%CI = 0.78–0.90). Combining %normal myocardial strain with atypical LGE provided high accuracy also for the differentiation of HHD vs. HCM (sensitivity = 82%, specificity = 100%, AUC(combination) = 0.92, 95%CI = 0.88–0.95) and HCM vs. amyloidosis (sensitivity = 83%, specificity = 100%, AUC(combination) = 0.83, 95%CI = 0.60–0.96). CONCLUSION: Fast-SENC derived myocardial strain is a valuable tool for differentiating between athletes vs. HCM and athletes vs. HHD. Combining strain and LGE data is useful for differentiating between HHD vs. HCM and HCM vs. cardiac amyloidosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12968-021-00775-8.
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spelling pubmed-82739572021-07-12 Multi-parametric assessment of left ventricular hypertrophy using late gadolinium enhancement, T1 mapping and strain-encoded cardiovascular magnetic resonance Giusca, Sorin Steen, Henning Montenbruck, Moritz Patel, Amit R. Pieske, Burkert Erley, Jennifer Kelle, Sebastian Korosoglou, Grigorios J Cardiovasc Magn Reson Research AIM: To evaluate the ability of single heartbeat fast-strain encoded (SENC) cardiovascular magnetic resonance (CMR) derived myocardial strain to discriminate between different forms of left ventricular (LV) hypertrophy (LVH). METHODS: 314 patients (228 with hypertensive heart disease (HHD), 45 with hypertrophic cardiomyopathy (HCM), 41 with amyloidosis, 22 competitive athletes, and 33 healthy controls) were systematically analysed. LV ejection fraction (LVEF), LV mass index and interventricular septal (IVS) thickness, T1 mapping and atypical late gadolinium enhancement (LGE) were assessed. In addition, the percentage of LV myocardial segments with strain ≤ − 17% (%normal myocardium) was determined. RESULTS: Patients with amyloidosis and HCM exhibited the highest IVS thickness (17.4 ± 3.3 mm and 17.4 ± 6 mm, respectively, p < 0.05 vs. all other groups), whereas patients with amyloidosis showed the highest LV mass index (95.1 ± 20.1 g/m(2), p < 0.05 vs all others) and lower LVEF compared to controls (50.5 ± 9.8% vs 59.2 ± 5.5%, p < 0.05). Analysing subjects with mild to moderate hypertrophy (IVS 11–15 mm), %normal myocardium exhibited excellent and high precision, respectively for the differentiation between athletes vs. HCM (sensitivity and specificity = 100%, Area under the curve; AUC(%normalmyocardium) = 1.0, 95%CI = 0.85–1.0) and athletes vs. HHD (sensitivity = 83%, specificity = 75%, AUC(%normalmyocardium) = 0.85, 95%CI = 0.78–0.90). Combining %normal myocardial strain with atypical LGE provided high accuracy also for the differentiation of HHD vs. HCM (sensitivity = 82%, specificity = 100%, AUC(combination) = 0.92, 95%CI = 0.88–0.95) and HCM vs. amyloidosis (sensitivity = 83%, specificity = 100%, AUC(combination) = 0.83, 95%CI = 0.60–0.96). CONCLUSION: Fast-SENC derived myocardial strain is a valuable tool for differentiating between athletes vs. HCM and athletes vs. HHD. Combining strain and LGE data is useful for differentiating between HHD vs. HCM and HCM vs. cardiac amyloidosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12968-021-00775-8. BioMed Central 2021-07-12 /pmc/articles/PMC8273957/ /pubmed/34247623 http://dx.doi.org/10.1186/s12968-021-00775-8 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
Giusca, Sorin
Steen, Henning
Montenbruck, Moritz
Patel, Amit R.
Pieske, Burkert
Erley, Jennifer
Kelle, Sebastian
Korosoglou, Grigorios
Multi-parametric assessment of left ventricular hypertrophy using late gadolinium enhancement, T1 mapping and strain-encoded cardiovascular magnetic resonance
title Multi-parametric assessment of left ventricular hypertrophy using late gadolinium enhancement, T1 mapping and strain-encoded cardiovascular magnetic resonance
title_full Multi-parametric assessment of left ventricular hypertrophy using late gadolinium enhancement, T1 mapping and strain-encoded cardiovascular magnetic resonance
title_fullStr Multi-parametric assessment of left ventricular hypertrophy using late gadolinium enhancement, T1 mapping and strain-encoded cardiovascular magnetic resonance
title_full_unstemmed Multi-parametric assessment of left ventricular hypertrophy using late gadolinium enhancement, T1 mapping and strain-encoded cardiovascular magnetic resonance
title_short Multi-parametric assessment of left ventricular hypertrophy using late gadolinium enhancement, T1 mapping and strain-encoded cardiovascular magnetic resonance
title_sort multi-parametric assessment of left ventricular hypertrophy using late gadolinium enhancement, t1 mapping and strain-encoded cardiovascular magnetic resonance
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273957/
https://www.ncbi.nlm.nih.gov/pubmed/34247623
http://dx.doi.org/10.1186/s12968-021-00775-8
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