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Technical development and feasibility of a reusable vest to integrate cardiovascular magnetic resonance with electrocardiographic imaging

BACKGROUND: Electrocardiographic imaging (ECGI) generates electrophysiological (EP) biomarkers while cardiovascular magnetic resonance (CMR) imaging provides data about myocardial structure, function and tissue substrate. Combining this information in one examination is desirable but requires an aff...

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Autores principales: Webber, Matthew, Joy, George, Bennett, Jonathan, Chan, Fiona, Falconer, Debbie, Shiwani, Hunain, Davies, Rhodri H., Krausz, Gunther, Tanackovic, Slobodan, Guger, Christoph, Gonzalez, Pablo, Martin, Emma, Wong, Andrew, Rapala, Alicja, Direk, Kenan, Kellman, Peter, Pierce, Iain, Rudy, Yoram, Vijayakumar, Ramya, Chaturvedi, Nishi, Hughes, Alun D., Moon, James C., Lambiase, Pier D., Tao, Xuyuan, Koncar, Vladan, Orini, Michele, Captur, Gabriella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694972/
https://www.ncbi.nlm.nih.gov/pubmed/38044439
http://dx.doi.org/10.1186/s12968-023-00980-7
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author Webber, Matthew
Joy, George
Bennett, Jonathan
Chan, Fiona
Falconer, Debbie
Shiwani, Hunain
Davies, Rhodri H.
Krausz, Gunther
Tanackovic, Slobodan
Guger, Christoph
Gonzalez, Pablo
Martin, Emma
Wong, Andrew
Rapala, Alicja
Direk, Kenan
Kellman, Peter
Pierce, Iain
Rudy, Yoram
Vijayakumar, Ramya
Chaturvedi, Nishi
Hughes, Alun D.
Moon, James C.
Lambiase, Pier D.
Tao, Xuyuan
Koncar, Vladan
Orini, Michele
Captur, Gabriella
author_facet Webber, Matthew
Joy, George
Bennett, Jonathan
Chan, Fiona
Falconer, Debbie
Shiwani, Hunain
Davies, Rhodri H.
Krausz, Gunther
Tanackovic, Slobodan
Guger, Christoph
Gonzalez, Pablo
Martin, Emma
Wong, Andrew
Rapala, Alicja
Direk, Kenan
Kellman, Peter
Pierce, Iain
Rudy, Yoram
Vijayakumar, Ramya
Chaturvedi, Nishi
Hughes, Alun D.
Moon, James C.
Lambiase, Pier D.
Tao, Xuyuan
Koncar, Vladan
Orini, Michele
Captur, Gabriella
author_sort Webber, Matthew
collection PubMed
description BACKGROUND: Electrocardiographic imaging (ECGI) generates electrophysiological (EP) biomarkers while cardiovascular magnetic resonance (CMR) imaging provides data about myocardial structure, function and tissue substrate. Combining this information in one examination is desirable but requires an affordable, reusable, and high-throughput solution. We therefore developed the CMR-ECGI vest and carried out this technical development study to assess its feasibility and repeatability in vivo. METHODS: CMR was prospectively performed at 3T on participants after collecting surface potentials using the locally designed and fabricated 256-lead ECGI vest. Epicardial maps were reconstructed to generate local EP parameters such as activation time (AT), repolarization time (RT) and activation recovery intervals (ARI). 20 intra- and inter-observer and 8 scan re-scan repeatability tests. RESULTS: 77 participants were recruited: 27 young healthy volunteers (HV, 38.9 ± 8.5 years, 35% male) and 50 older persons (77.0 ± 0.1 years, 52% male). CMR-ECGI was achieved in all participants using the same reusable, washable vest without complications. Intra- and inter-observer variability was low (correlation coefficients [r(s)] across unipolar electrograms = 0.99 and 0.98 respectively) and scan re-scan repeatability was high (r(s) between 0.81 and 0.93). Compared to young HV, older persons had significantly longer RT (296.8 vs 289.3 ms, p = 0.002), ARI (249.8 vs 235.1 ms, p = 0.002) and local gradients of AT, RT and ARI (0.40 vs 0.34 ms/mm, p = 0,01; 0.92 vs 0.77 ms/mm, p = 0.03; and 1.12 vs 0.92 ms/mm, p = 0.01 respectively). CONCLUSION: Our high-throughput CMR-ECGI solution is feasible and shows good reproducibility in younger and older participants. This new technology is now scalable for high throughput research to provide novel insights into arrhythmogenesis and potentially pave the way for more personalised risk stratification. Clinical trial registration: Title: Multimorbidity Life-Course Approach to Myocardial Health—A Cardiac Sub-Study of the MRC National Survey of Health and Development (NSHD) (MyoFit46). National Clinical Trials (NCT) number: NCT05455125. URL: https://clinicaltrials.gov/ct2/show/NCT05455125?term=MyoFit&draw=2&rank=1 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12968-023-00980-7.
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spelling pubmed-106949722023-12-05 Technical development and feasibility of a reusable vest to integrate cardiovascular magnetic resonance with electrocardiographic imaging Webber, Matthew Joy, George Bennett, Jonathan Chan, Fiona Falconer, Debbie Shiwani, Hunain Davies, Rhodri H. Krausz, Gunther Tanackovic, Slobodan Guger, Christoph Gonzalez, Pablo Martin, Emma Wong, Andrew Rapala, Alicja Direk, Kenan Kellman, Peter Pierce, Iain Rudy, Yoram Vijayakumar, Ramya Chaturvedi, Nishi Hughes, Alun D. Moon, James C. Lambiase, Pier D. Tao, Xuyuan Koncar, Vladan Orini, Michele Captur, Gabriella J Cardiovasc Magn Reson Research BACKGROUND: Electrocardiographic imaging (ECGI) generates electrophysiological (EP) biomarkers while cardiovascular magnetic resonance (CMR) imaging provides data about myocardial structure, function and tissue substrate. Combining this information in one examination is desirable but requires an affordable, reusable, and high-throughput solution. We therefore developed the CMR-ECGI vest and carried out this technical development study to assess its feasibility and repeatability in vivo. METHODS: CMR was prospectively performed at 3T on participants after collecting surface potentials using the locally designed and fabricated 256-lead ECGI vest. Epicardial maps were reconstructed to generate local EP parameters such as activation time (AT), repolarization time (RT) and activation recovery intervals (ARI). 20 intra- and inter-observer and 8 scan re-scan repeatability tests. RESULTS: 77 participants were recruited: 27 young healthy volunteers (HV, 38.9 ± 8.5 years, 35% male) and 50 older persons (77.0 ± 0.1 years, 52% male). CMR-ECGI was achieved in all participants using the same reusable, washable vest without complications. Intra- and inter-observer variability was low (correlation coefficients [r(s)] across unipolar electrograms = 0.99 and 0.98 respectively) and scan re-scan repeatability was high (r(s) between 0.81 and 0.93). Compared to young HV, older persons had significantly longer RT (296.8 vs 289.3 ms, p = 0.002), ARI (249.8 vs 235.1 ms, p = 0.002) and local gradients of AT, RT and ARI (0.40 vs 0.34 ms/mm, p = 0,01; 0.92 vs 0.77 ms/mm, p = 0.03; and 1.12 vs 0.92 ms/mm, p = 0.01 respectively). CONCLUSION: Our high-throughput CMR-ECGI solution is feasible and shows good reproducibility in younger and older participants. This new technology is now scalable for high throughput research to provide novel insights into arrhythmogenesis and potentially pave the way for more personalised risk stratification. Clinical trial registration: Title: Multimorbidity Life-Course Approach to Myocardial Health—A Cardiac Sub-Study of the MRC National Survey of Health and Development (NSHD) (MyoFit46). National Clinical Trials (NCT) number: NCT05455125. URL: https://clinicaltrials.gov/ct2/show/NCT05455125?term=MyoFit&draw=2&rank=1 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12968-023-00980-7. BioMed Central 2023-12-04 /pmc/articles/PMC10694972/ /pubmed/38044439 http://dx.doi.org/10.1186/s12968-023-00980-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Webber, Matthew
Joy, George
Bennett, Jonathan
Chan, Fiona
Falconer, Debbie
Shiwani, Hunain
Davies, Rhodri H.
Krausz, Gunther
Tanackovic, Slobodan
Guger, Christoph
Gonzalez, Pablo
Martin, Emma
Wong, Andrew
Rapala, Alicja
Direk, Kenan
Kellman, Peter
Pierce, Iain
Rudy, Yoram
Vijayakumar, Ramya
Chaturvedi, Nishi
Hughes, Alun D.
Moon, James C.
Lambiase, Pier D.
Tao, Xuyuan
Koncar, Vladan
Orini, Michele
Captur, Gabriella
Technical development and feasibility of a reusable vest to integrate cardiovascular magnetic resonance with electrocardiographic imaging
title Technical development and feasibility of a reusable vest to integrate cardiovascular magnetic resonance with electrocardiographic imaging
title_full Technical development and feasibility of a reusable vest to integrate cardiovascular magnetic resonance with electrocardiographic imaging
title_fullStr Technical development and feasibility of a reusable vest to integrate cardiovascular magnetic resonance with electrocardiographic imaging
title_full_unstemmed Technical development and feasibility of a reusable vest to integrate cardiovascular magnetic resonance with electrocardiographic imaging
title_short Technical development and feasibility of a reusable vest to integrate cardiovascular magnetic resonance with electrocardiographic imaging
title_sort technical development and feasibility of a reusable vest to integrate cardiovascular magnetic resonance with electrocardiographic imaging
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694972/
https://www.ncbi.nlm.nih.gov/pubmed/38044439
http://dx.doi.org/10.1186/s12968-023-00980-7
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