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Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers

BACKGROUND: In vivo cardiac diffusion tensor imaging (cDTI) is uniquely capable of interrogating laminar myocardial dynamics non-invasively. A comprehensive dataset of quantative parameters and comparison with subject anthropometrics is required. METHODS: cDTI was performed at 3T with a diffusion we...

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Autores principales: McGill, L.A., Ferreira, P.F., Scott, A.D., Nielles-Vallespin, S., Giannakidis, A., Kilner, P.J., Gatehouse, P.D., de Silva, R., Firmin, D.N., Pennell, D.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704390/
https://www.ncbi.nlm.nih.gov/pubmed/26738482
http://dx.doi.org/10.1186/s12968-015-0215-0
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author McGill, L.A.
Ferreira, P.F.
Scott, A.D.
Nielles-Vallespin, S.
Giannakidis, A.
Kilner, P.J.
Gatehouse, P.D.
de Silva, R.
Firmin, D.N.
Pennell, D.J.
author_facet McGill, L.A.
Ferreira, P.F.
Scott, A.D.
Nielles-Vallespin, S.
Giannakidis, A.
Kilner, P.J.
Gatehouse, P.D.
de Silva, R.
Firmin, D.N.
Pennell, D.J.
author_sort McGill, L.A.
collection PubMed
description BACKGROUND: In vivo cardiac diffusion tensor imaging (cDTI) is uniquely capable of interrogating laminar myocardial dynamics non-invasively. A comprehensive dataset of quantative parameters and comparison with subject anthropometrics is required. METHODS: cDTI was performed at 3T with a diffusion weighted STEAM sequence. Data was acquired from the mid left ventricle in 43 subjects during the systolic and diastolic pauses. Global and regional values were determined for fractional anisotropy (FA), mean diffusivity (MD), helix angle gradient (HAg, degrees/%depth) and the secondary eigenvector angulation (E2A). Regression analysis was performed between global values and subject anthropometrics. RESULTS: All cDTI parameters displayed regional heterogeneity. The RR interval had a significant, but clinically small effect on systolic values for FA, HAg and E2A. Male sex and increasing left ventricular end diastolic volume were associated with increased systolic HAg. Diastolic HAg and systolic E2A were both directly related to left ventricular mass and body surface area. There was an inverse relationship between E2A mobility and both age and ejection fraction. CONCLUSIONS: Future interpretations of quantitative cDTI data should take into account anthropometric variations observed with patient age, body surface area and left ventricular measurements. Further work determining the impact of technical factors such as strain and SNR is required.
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spelling pubmed-47043902016-01-08 Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers McGill, L.A. Ferreira, P.F. Scott, A.D. Nielles-Vallespin, S. Giannakidis, A. Kilner, P.J. Gatehouse, P.D. de Silva, R. Firmin, D.N. Pennell, D.J. J Cardiovasc Magn Reson Research BACKGROUND: In vivo cardiac diffusion tensor imaging (cDTI) is uniquely capable of interrogating laminar myocardial dynamics non-invasively. A comprehensive dataset of quantative parameters and comparison with subject anthropometrics is required. METHODS: cDTI was performed at 3T with a diffusion weighted STEAM sequence. Data was acquired from the mid left ventricle in 43 subjects during the systolic and diastolic pauses. Global and regional values were determined for fractional anisotropy (FA), mean diffusivity (MD), helix angle gradient (HAg, degrees/%depth) and the secondary eigenvector angulation (E2A). Regression analysis was performed between global values and subject anthropometrics. RESULTS: All cDTI parameters displayed regional heterogeneity. The RR interval had a significant, but clinically small effect on systolic values for FA, HAg and E2A. Male sex and increasing left ventricular end diastolic volume were associated with increased systolic HAg. Diastolic HAg and systolic E2A were both directly related to left ventricular mass and body surface area. There was an inverse relationship between E2A mobility and both age and ejection fraction. CONCLUSIONS: Future interpretations of quantitative cDTI data should take into account anthropometric variations observed with patient age, body surface area and left ventricular measurements. Further work determining the impact of technical factors such as strain and SNR is required. BioMed Central 2016-01-06 /pmc/articles/PMC4704390/ /pubmed/26738482 http://dx.doi.org/10.1186/s12968-015-0215-0 Text en © McGill et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
McGill, L.A.
Ferreira, P.F.
Scott, A.D.
Nielles-Vallespin, S.
Giannakidis, A.
Kilner, P.J.
Gatehouse, P.D.
de Silva, R.
Firmin, D.N.
Pennell, D.J.
Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers
title Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers
title_full Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers
title_fullStr Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers
title_full_unstemmed Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers
title_short Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers
title_sort relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704390/
https://www.ncbi.nlm.nih.gov/pubmed/26738482
http://dx.doi.org/10.1186/s12968-015-0215-0
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