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Long-Term Left Ventricular Remodelling in Rat Model of Nonreperfused Myocardial Infarction: Sequential MR Imaging Using a 3T Clinical Scanner
Purpose. To evaluate whether 3T clinical MRI with a small-animal coil and gradient-echo (GE) sequence could be used to characterize long-term left ventricular remodelling (LVR) following nonreperfused myocardial infarction (MI) using semi-automatic segmentation software (SASS) in a rat model. Materi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3479400/ https://www.ncbi.nlm.nih.gov/pubmed/23118511 http://dx.doi.org/10.1155/2012/504037 |
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author | Saleh, Muhammad G. Sharp, Sarah-Kate Alhamud, Alkathafi Spottiswoode, Bruce S. van der Kouwe, Andre J. W. Davies, Neil H. Franz, Thomas Meintjes, Ernesta M. |
author_facet | Saleh, Muhammad G. Sharp, Sarah-Kate Alhamud, Alkathafi Spottiswoode, Bruce S. van der Kouwe, Andre J. W. Davies, Neil H. Franz, Thomas Meintjes, Ernesta M. |
author_sort | Saleh, Muhammad G. |
collection | PubMed |
description | Purpose. To evaluate whether 3T clinical MRI with a small-animal coil and gradient-echo (GE) sequence could be used to characterize long-term left ventricular remodelling (LVR) following nonreperfused myocardial infarction (MI) using semi-automatic segmentation software (SASS) in a rat model. Materials and Methods. 5 healthy rats were used to validate left ventricular mass (LVM) measured by MRI with postmortem values. 5 sham and 7 infarcted rats were scanned at 2 and 4 weeks after surgery to allow for functional and structural analysis of the heart. Measurements included ejection fraction (EF), end-diastolic volume (EDV), end-systolic volume (ESV), and LVM. Changes in different regions of the heart were quantified using wall thickness analyses. Results. LVM validation in healthy rats demonstrated high correlation between MR and postmortem values. Functional assessment at 4 weeks after MI revealed considerable reduction in EF, increases in ESV, EDV, and LVM, and contractile dysfunction in infarcted and noninfarcted regions. Conclusion. Clinical 3T MRI with a small animal coil and GE sequence generated images in a rat heart with adequate signal-to-noise ratio (SNR) for successful semiautomatic segmentation to accurately and rapidly evaluate long-term LVR after MI. |
format | Online Article Text |
id | pubmed-3479400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-34794002012-11-01 Long-Term Left Ventricular Remodelling in Rat Model of Nonreperfused Myocardial Infarction: Sequential MR Imaging Using a 3T Clinical Scanner Saleh, Muhammad G. Sharp, Sarah-Kate Alhamud, Alkathafi Spottiswoode, Bruce S. van der Kouwe, Andre J. W. Davies, Neil H. Franz, Thomas Meintjes, Ernesta M. J Biomed Biotechnol Research Article Purpose. To evaluate whether 3T clinical MRI with a small-animal coil and gradient-echo (GE) sequence could be used to characterize long-term left ventricular remodelling (LVR) following nonreperfused myocardial infarction (MI) using semi-automatic segmentation software (SASS) in a rat model. Materials and Methods. 5 healthy rats were used to validate left ventricular mass (LVM) measured by MRI with postmortem values. 5 sham and 7 infarcted rats were scanned at 2 and 4 weeks after surgery to allow for functional and structural analysis of the heart. Measurements included ejection fraction (EF), end-diastolic volume (EDV), end-systolic volume (ESV), and LVM. Changes in different regions of the heart were quantified using wall thickness analyses. Results. LVM validation in healthy rats demonstrated high correlation between MR and postmortem values. Functional assessment at 4 weeks after MI revealed considerable reduction in EF, increases in ESV, EDV, and LVM, and contractile dysfunction in infarcted and noninfarcted regions. Conclusion. Clinical 3T MRI with a small animal coil and GE sequence generated images in a rat heart with adequate signal-to-noise ratio (SNR) for successful semiautomatic segmentation to accurately and rapidly evaluate long-term LVR after MI. Hindawi Publishing Corporation 2012 2012-10-04 /pmc/articles/PMC3479400/ /pubmed/23118511 http://dx.doi.org/10.1155/2012/504037 Text en Copyright © 2012 Muhammad G. Saleh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Saleh, Muhammad G. Sharp, Sarah-Kate Alhamud, Alkathafi Spottiswoode, Bruce S. van der Kouwe, Andre J. W. Davies, Neil H. Franz, Thomas Meintjes, Ernesta M. Long-Term Left Ventricular Remodelling in Rat Model of Nonreperfused Myocardial Infarction: Sequential MR Imaging Using a 3T Clinical Scanner |
title | Long-Term Left Ventricular Remodelling in Rat Model of Nonreperfused Myocardial Infarction: Sequential MR Imaging Using a 3T Clinical Scanner |
title_full | Long-Term Left Ventricular Remodelling in Rat Model of Nonreperfused Myocardial Infarction: Sequential MR Imaging Using a 3T Clinical Scanner |
title_fullStr | Long-Term Left Ventricular Remodelling in Rat Model of Nonreperfused Myocardial Infarction: Sequential MR Imaging Using a 3T Clinical Scanner |
title_full_unstemmed | Long-Term Left Ventricular Remodelling in Rat Model of Nonreperfused Myocardial Infarction: Sequential MR Imaging Using a 3T Clinical Scanner |
title_short | Long-Term Left Ventricular Remodelling in Rat Model of Nonreperfused Myocardial Infarction: Sequential MR Imaging Using a 3T Clinical Scanner |
title_sort | long-term left ventricular remodelling in rat model of nonreperfused myocardial infarction: sequential mr imaging using a 3t clinical scanner |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3479400/ https://www.ncbi.nlm.nih.gov/pubmed/23118511 http://dx.doi.org/10.1155/2012/504037 |
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