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Test-retest reliability of high spatial resolution diffusion tensor and diffusion kurtosis imaging
We assessed the test-retest reliability of high spatial resolution diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI). Diffusion MRI was acquired using a Siemens 3 Tesla Prisma scanner with 80 mT/m gradients and a 32-channel head coil from each of 3 concussive traumatic brain injury...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593980/ https://www.ncbi.nlm.nih.gov/pubmed/28894296 http://dx.doi.org/10.1038/s41598-017-11747-3 |
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author | Shahim, Pashtun Holleran, Laurena Kim, Joong H. Brody, David L. |
author_facet | Shahim, Pashtun Holleran, Laurena Kim, Joong H. Brody, David L. |
author_sort | Shahim, Pashtun |
collection | PubMed |
description | We assessed the test-retest reliability of high spatial resolution diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI). Diffusion MRI was acquired using a Siemens 3 Tesla Prisma scanner with 80 mT/m gradients and a 32-channel head coil from each of 3 concussive traumatic brain injury (cTBI) patients and 4 controls twice 0 to 24 days apart. Coefficients of variation (CoV) for DTI parameters were calculated in each DTI Studio parcellated white matter tract at 1.25 mm and 1.75 mm isotropic voxel resolution, as well as DKI parameters at 1.75 mm isotropic. Overall, fractional anisotropy had the best reliability, with mean CoV at 5% for 1.25 mm and 3.5% for 1.75 mm isotropic voxels. Mean CoV for the other DTI metrics were <7.0% for both 1.25 and 1.75 mm isotropic voxels. The mean CoV was ≤4.5% across the DKI metrics. In the commonly injured orbitofrontal and temporal pole regions CoV was <3.5% for all parameters. Thus, with appropriate processing, high spatial resolution advanced diffusion MRI has good to excellent test-retest reproducibility in both human cTBI patients and controls. However, further technical improvements will be needed to reliably discern the most subtle diffusion abnormalities, especially at high spatial resolution. |
format | Online Article Text |
id | pubmed-5593980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55939802017-09-13 Test-retest reliability of high spatial resolution diffusion tensor and diffusion kurtosis imaging Shahim, Pashtun Holleran, Laurena Kim, Joong H. Brody, David L. Sci Rep Article We assessed the test-retest reliability of high spatial resolution diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI). Diffusion MRI was acquired using a Siemens 3 Tesla Prisma scanner with 80 mT/m gradients and a 32-channel head coil from each of 3 concussive traumatic brain injury (cTBI) patients and 4 controls twice 0 to 24 days apart. Coefficients of variation (CoV) for DTI parameters were calculated in each DTI Studio parcellated white matter tract at 1.25 mm and 1.75 mm isotropic voxel resolution, as well as DKI parameters at 1.75 mm isotropic. Overall, fractional anisotropy had the best reliability, with mean CoV at 5% for 1.25 mm and 3.5% for 1.75 mm isotropic voxels. Mean CoV for the other DTI metrics were <7.0% for both 1.25 and 1.75 mm isotropic voxels. The mean CoV was ≤4.5% across the DKI metrics. In the commonly injured orbitofrontal and temporal pole regions CoV was <3.5% for all parameters. Thus, with appropriate processing, high spatial resolution advanced diffusion MRI has good to excellent test-retest reproducibility in both human cTBI patients and controls. However, further technical improvements will be needed to reliably discern the most subtle diffusion abnormalities, especially at high spatial resolution. Nature Publishing Group UK 2017-09-11 /pmc/articles/PMC5593980/ /pubmed/28894296 http://dx.doi.org/10.1038/s41598-017-11747-3 Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Shahim, Pashtun Holleran, Laurena Kim, Joong H. Brody, David L. Test-retest reliability of high spatial resolution diffusion tensor and diffusion kurtosis imaging |
title | Test-retest reliability of high spatial resolution diffusion tensor and diffusion kurtosis imaging |
title_full | Test-retest reliability of high spatial resolution diffusion tensor and diffusion kurtosis imaging |
title_fullStr | Test-retest reliability of high spatial resolution diffusion tensor and diffusion kurtosis imaging |
title_full_unstemmed | Test-retest reliability of high spatial resolution diffusion tensor and diffusion kurtosis imaging |
title_short | Test-retest reliability of high spatial resolution diffusion tensor and diffusion kurtosis imaging |
title_sort | test-retest reliability of high spatial resolution diffusion tensor and diffusion kurtosis imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593980/ https://www.ncbi.nlm.nih.gov/pubmed/28894296 http://dx.doi.org/10.1038/s41598-017-11747-3 |
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