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Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy
BACKGROUND: Late gadolinium enhancement (LGE) detected by cardiac MRI (CMR) has low correlation with low voltage zones (LVZs) detected by electroanatomical mapping (EAM). We aim to study correlation of myocardial strain by CMR- Feature Tracking (FT) alongside LGE with LVZs detected by EAM. METHODS:...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694091/ https://www.ncbi.nlm.nih.gov/pubmed/37129791 http://dx.doi.org/10.1007/s10840-023-01553-5 |
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author | Raja, Deep Chandh Samarawickrema, Indira Srinivasan, Jaganaathan Raman Menon, SaratKrishna Das, Souvik Kumar Jain, Sanjiv Tuan, Lukah Q. Desjardins, Benoit Marchlinski, Francis E. Abhayaratna, Walter P. Sanders, Prashanthan Pathak, Rajeev K |
author_facet | Raja, Deep Chandh Samarawickrema, Indira Srinivasan, Jaganaathan Raman Menon, SaratKrishna Das, Souvik Kumar Jain, Sanjiv Tuan, Lukah Q. Desjardins, Benoit Marchlinski, Francis E. Abhayaratna, Walter P. Sanders, Prashanthan Pathak, Rajeev K |
author_sort | Raja, Deep Chandh |
collection | PubMed |
description | BACKGROUND: Late gadolinium enhancement (LGE) detected by cardiac MRI (CMR) has low correlation with low voltage zones (LVZs) detected by electroanatomical mapping (EAM). We aim to study correlation of myocardial strain by CMR- Feature Tracking (FT) alongside LGE with LVZs detected by EAM. METHODS: Nineteen consecutive CMRs of patients with EAM were analyzed offline by CMR-FT. Peak value of circumferential strain (CS), longitudinal strain (LS), and LGE was measured in each segment of the left ventricle (17-segment model). The percentage of myocardial segments with CS and LS > −17% was determined. Percentage area of LGE-scar was calculated. Global and segment–wise bipolar and unipolar voltage was collected. Percentage area of bipolar LVZ (<1.5 mV) and unipolar LVZ (<8.3 mV) was calculated. RESULTS: Mean age was 62±11 years. Mean LVEF was 37±13%. Mean global CS was −11.8±5%. Mean global LS was −11.2±4%. LGE-scar was noted in 74% of the patients. Mean percentage area of LGE-scar was 5%. There was significant correlation between percentage abnormality detected by LS with percentage bipolar LVZ (r = +0.5, p = 0.03) and combined percentage CS+LS abnormality with percentage unipolar LVZ (r = +0.5, p = 0.02). Per-unit increase in CS increased the percentage area of unipolar LVZ by 2.09 (p = 0.07) and per-unit increase in LS increased the percentage area of unipolar LVZ by 2.49 (p = 0.06). The concordance rates between CS and LS to localize segments with bipolar/unipolar LVZ were 79% and 95% compared to 63% with LGE. CONCLUSIONS: Myocardial strain detected by CMR-FT has a better correlation with electrical low voltage zones than the conventional LGE. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10840-023-01553-5. |
format | Online Article Text |
id | pubmed-10694091 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-106940912023-12-05 Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy Raja, Deep Chandh Samarawickrema, Indira Srinivasan, Jaganaathan Raman Menon, SaratKrishna Das, Souvik Kumar Jain, Sanjiv Tuan, Lukah Q. Desjardins, Benoit Marchlinski, Francis E. Abhayaratna, Walter P. Sanders, Prashanthan Pathak, Rajeev K J Interv Card Electrophysiol Article BACKGROUND: Late gadolinium enhancement (LGE) detected by cardiac MRI (CMR) has low correlation with low voltage zones (LVZs) detected by electroanatomical mapping (EAM). We aim to study correlation of myocardial strain by CMR- Feature Tracking (FT) alongside LGE with LVZs detected by EAM. METHODS: Nineteen consecutive CMRs of patients with EAM were analyzed offline by CMR-FT. Peak value of circumferential strain (CS), longitudinal strain (LS), and LGE was measured in each segment of the left ventricle (17-segment model). The percentage of myocardial segments with CS and LS > −17% was determined. Percentage area of LGE-scar was calculated. Global and segment–wise bipolar and unipolar voltage was collected. Percentage area of bipolar LVZ (<1.5 mV) and unipolar LVZ (<8.3 mV) was calculated. RESULTS: Mean age was 62±11 years. Mean LVEF was 37±13%. Mean global CS was −11.8±5%. Mean global LS was −11.2±4%. LGE-scar was noted in 74% of the patients. Mean percentage area of LGE-scar was 5%. There was significant correlation between percentage abnormality detected by LS with percentage bipolar LVZ (r = +0.5, p = 0.03) and combined percentage CS+LS abnormality with percentage unipolar LVZ (r = +0.5, p = 0.02). Per-unit increase in CS increased the percentage area of unipolar LVZ by 2.09 (p = 0.07) and per-unit increase in LS increased the percentage area of unipolar LVZ by 2.49 (p = 0.06). The concordance rates between CS and LS to localize segments with bipolar/unipolar LVZ were 79% and 95% compared to 63% with LGE. CONCLUSIONS: Myocardial strain detected by CMR-FT has a better correlation with electrical low voltage zones than the conventional LGE. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10840-023-01553-5. Springer US 2023-05-02 2023 /pmc/articles/PMC10694091/ /pubmed/37129791 http://dx.doi.org/10.1007/s10840-023-01553-5 Text en © Crown 2023 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/) . |
spellingShingle | Article Raja, Deep Chandh Samarawickrema, Indira Srinivasan, Jaganaathan Raman Menon, SaratKrishna Das, Souvik Kumar Jain, Sanjiv Tuan, Lukah Q. Desjardins, Benoit Marchlinski, Francis E. Abhayaratna, Walter P. Sanders, Prashanthan Pathak, Rajeev K Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy |
title | Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy |
title_full | Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy |
title_fullStr | Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy |
title_full_unstemmed | Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy |
title_short | Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy |
title_sort | correlation of myocardial strain by cmr-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694091/ https://www.ncbi.nlm.nih.gov/pubmed/37129791 http://dx.doi.org/10.1007/s10840-023-01553-5 |
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