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Initial investigation of free-breathing 3D whole-heart stress myocardial perfusion MRI

Objective: Myocardial first-pass perfusion imaging with MRI is well-established clinically. However, it is potentially weakened by limited myocardial coverage compared to nuclear medicine. Clinical evaluations of whole-heart MRI perfusion by 3D methods, while promising, have to date had the limit of...

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Autores principales: Fair, Merlin J., Gatehouse, Peter D., Reyes, Eliana, Adluru, Ganesh, Mendes, Jason, Khan, Tina, de Silva, Ranil, Wage, Rick, DiBella, Edward V.R., Firmin, David N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Magdi Yacoub Heart Foundation 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868101/
https://www.ncbi.nlm.nih.gov/pubmed/33598498
http://dx.doi.org/10.21542/gcsp.2020.38
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author Fair, Merlin J.
Gatehouse, Peter D.
Reyes, Eliana
Adluru, Ganesh
Mendes, Jason
Khan, Tina
de Silva, Ranil
Wage, Rick
DiBella, Edward V.R.
Firmin, David N.
author_facet Fair, Merlin J.
Gatehouse, Peter D.
Reyes, Eliana
Adluru, Ganesh
Mendes, Jason
Khan, Tina
de Silva, Ranil
Wage, Rick
DiBella, Edward V.R.
Firmin, David N.
author_sort Fair, Merlin J.
collection PubMed
description Objective: Myocardial first-pass perfusion imaging with MRI is well-established clinically. However, it is potentially weakened by limited myocardial coverage compared to nuclear medicine. Clinical evaluations of whole-heart MRI perfusion by 3D methods, while promising, have to date had the limit of breathhold requirements at stress. This work aims to develop a new free-breathing 3D myocardial perfusion method, and to test its performance in a small patient population. Methods: This work required tolerance to respiratory motion for stress investigations, and therefore employed a “stack-of-stars” hybrid Cartesian-radial MRI acquisition method. The MRI sequence was highly optimised for rapid acquisition and combined with a compressed sensing reconstruction. Stress and rest datasets were acquired in four healthy volunteers, and in six patients with coronary artery disease (CAD), which were compared against clinical reference information. Results: This free-breathing method produced datasets that appeared consistent with clinical reference data in detecting moderate-to-strong induced perfusion abnormalities. However, the majority of the mild defects identified clinically were not detected by the method, potentially due to the presence of transient myocardial artefacts present in the images. Discussion: The feasibility of detecting CAD using this 3D first-pass perfusion sequence during free-breathing is demonstrated. Good agreement on typical moderate-to-strong CAD cases is promising, however, questions still remain on the sensitivity of the technique to milder cases.
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spelling pubmed-78681012021-02-16 Initial investigation of free-breathing 3D whole-heart stress myocardial perfusion MRI Fair, Merlin J. Gatehouse, Peter D. Reyes, Eliana Adluru, Ganesh Mendes, Jason Khan, Tina de Silva, Ranil Wage, Rick DiBella, Edward V.R. Firmin, David N. Glob Cardiol Sci Pract Early Communication Objective: Myocardial first-pass perfusion imaging with MRI is well-established clinically. However, it is potentially weakened by limited myocardial coverage compared to nuclear medicine. Clinical evaluations of whole-heart MRI perfusion by 3D methods, while promising, have to date had the limit of breathhold requirements at stress. This work aims to develop a new free-breathing 3D myocardial perfusion method, and to test its performance in a small patient population. Methods: This work required tolerance to respiratory motion for stress investigations, and therefore employed a “stack-of-stars” hybrid Cartesian-radial MRI acquisition method. The MRI sequence was highly optimised for rapid acquisition and combined with a compressed sensing reconstruction. Stress and rest datasets were acquired in four healthy volunteers, and in six patients with coronary artery disease (CAD), which were compared against clinical reference information. Results: This free-breathing method produced datasets that appeared consistent with clinical reference data in detecting moderate-to-strong induced perfusion abnormalities. However, the majority of the mild defects identified clinically were not detected by the method, potentially due to the presence of transient myocardial artefacts present in the images. Discussion: The feasibility of detecting CAD using this 3D first-pass perfusion sequence during free-breathing is demonstrated. Good agreement on typical moderate-to-strong CAD cases is promising, however, questions still remain on the sensitivity of the technique to milder cases. Magdi Yacoub Heart Foundation 2020-12-31 /pmc/articles/PMC7868101/ /pubmed/33598498 http://dx.doi.org/10.21542/gcsp.2020.38 Text en Copyright ©2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution license CC BY 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Early Communication
Fair, Merlin J.
Gatehouse, Peter D.
Reyes, Eliana
Adluru, Ganesh
Mendes, Jason
Khan, Tina
de Silva, Ranil
Wage, Rick
DiBella, Edward V.R.
Firmin, David N.
Initial investigation of free-breathing 3D whole-heart stress myocardial perfusion MRI
title Initial investigation of free-breathing 3D whole-heart stress myocardial perfusion MRI
title_full Initial investigation of free-breathing 3D whole-heart stress myocardial perfusion MRI
title_fullStr Initial investigation of free-breathing 3D whole-heart stress myocardial perfusion MRI
title_full_unstemmed Initial investigation of free-breathing 3D whole-heart stress myocardial perfusion MRI
title_short Initial investigation of free-breathing 3D whole-heart stress myocardial perfusion MRI
title_sort initial investigation of free-breathing 3d whole-heart stress myocardial perfusion mri
topic Early Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868101/
https://www.ncbi.nlm.nih.gov/pubmed/33598498
http://dx.doi.org/10.21542/gcsp.2020.38
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