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Stroke infarct volume estimation in fixed tissue: Comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model
Diffusion kurtosis imaging (DKI) is a new promising MRI technique with microstructural sensitivity superior to conventional diffusion tensor (DTI) based methods. In stroke, considerable mismatch exists between the infarct lesion outline obtained from the two methods, kurtosis and diffusion tensor de...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919652/ https://www.ncbi.nlm.nih.gov/pubmed/29698450 http://dx.doi.org/10.1371/journal.pone.0196161 |
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author | Bay, Vibeke Kjølby, Birgitte F. Iversen, Nina K. Mikkelsen, Irene K. Ardalan, Maryam Nyengaard, Jens R. Jespersen, Sune N. Drasbek, Kim R. Østergaard, Leif Hansen, Brian |
author_facet | Bay, Vibeke Kjølby, Birgitte F. Iversen, Nina K. Mikkelsen, Irene K. Ardalan, Maryam Nyengaard, Jens R. Jespersen, Sune N. Drasbek, Kim R. Østergaard, Leif Hansen, Brian |
author_sort | Bay, Vibeke |
collection | PubMed |
description | Diffusion kurtosis imaging (DKI) is a new promising MRI technique with microstructural sensitivity superior to conventional diffusion tensor (DTI) based methods. In stroke, considerable mismatch exists between the infarct lesion outline obtained from the two methods, kurtosis and diffusion tensor derived metrics. We aim to investigate if this mismatch can be examined in fixed tissue. Our investigation is based on estimates of mean diffusivity (MD) and mean (of the) kurtosis tensor (MKT) obtained using recent fast DKI methods requiring only 19 images. At 24 hours post stroke, rat brains were fixed and prepared. The infarct was clearly visible in both MD and MKT maps. The MKT lesion volume was roughly 31% larger than the MD lesion volume. Subsequent histological analysis (hematoxylin) revealed similar lesion volumes to MD. Our study shows that structural components underlying the MD/MKT mismatch can be investigated in fixed tissue and therefore allows a more direct comparison between lesion volumes from MRI and histology. Additionally, the larger MKT infarct lesion indicates that MKT do provide increased sensitivity to microstructural changes in the lesion area compared to MD. |
format | Online Article Text |
id | pubmed-5919652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-59196522018-05-11 Stroke infarct volume estimation in fixed tissue: Comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model Bay, Vibeke Kjølby, Birgitte F. Iversen, Nina K. Mikkelsen, Irene K. Ardalan, Maryam Nyengaard, Jens R. Jespersen, Sune N. Drasbek, Kim R. Østergaard, Leif Hansen, Brian PLoS One Research Article Diffusion kurtosis imaging (DKI) is a new promising MRI technique with microstructural sensitivity superior to conventional diffusion tensor (DTI) based methods. In stroke, considerable mismatch exists between the infarct lesion outline obtained from the two methods, kurtosis and diffusion tensor derived metrics. We aim to investigate if this mismatch can be examined in fixed tissue. Our investigation is based on estimates of mean diffusivity (MD) and mean (of the) kurtosis tensor (MKT) obtained using recent fast DKI methods requiring only 19 images. At 24 hours post stroke, rat brains were fixed and prepared. The infarct was clearly visible in both MD and MKT maps. The MKT lesion volume was roughly 31% larger than the MD lesion volume. Subsequent histological analysis (hematoxylin) revealed similar lesion volumes to MD. Our study shows that structural components underlying the MD/MKT mismatch can be investigated in fixed tissue and therefore allows a more direct comparison between lesion volumes from MRI and histology. Additionally, the larger MKT infarct lesion indicates that MKT do provide increased sensitivity to microstructural changes in the lesion area compared to MD. Public Library of Science 2018-04-26 /pmc/articles/PMC5919652/ /pubmed/29698450 http://dx.doi.org/10.1371/journal.pone.0196161 Text en © 2018 Bay et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bay, Vibeke Kjølby, Birgitte F. Iversen, Nina K. Mikkelsen, Irene K. Ardalan, Maryam Nyengaard, Jens R. Jespersen, Sune N. Drasbek, Kim R. Østergaard, Leif Hansen, Brian Stroke infarct volume estimation in fixed tissue: Comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model |
title | Stroke infarct volume estimation in fixed tissue: Comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model |
title_full | Stroke infarct volume estimation in fixed tissue: Comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model |
title_fullStr | Stroke infarct volume estimation in fixed tissue: Comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model |
title_full_unstemmed | Stroke infarct volume estimation in fixed tissue: Comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model |
title_short | Stroke infarct volume estimation in fixed tissue: Comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model |
title_sort | stroke infarct volume estimation in fixed tissue: comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent mcao model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919652/ https://www.ncbi.nlm.nih.gov/pubmed/29698450 http://dx.doi.org/10.1371/journal.pone.0196161 |
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