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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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.
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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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