Cargando…
Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging
BACKGROUND: Mean kurtosis (MK), one of the parameters derived from diffusion kurtosis imaging (DKI), has shown increased sensitivity to tissue microstructure damage in several neurological disorders. METHODS: Thirty-seven patients with relapsing-remitting MS and eleven healthy controls (HC) received...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861404/ https://www.ncbi.nlm.nih.gov/pubmed/33539364 http://dx.doi.org/10.1371/journal.pone.0245844 |
_version_ | 1783647080191885312 |
---|---|
author | Thaler, Christian Kyselyova, Anna A. Faizy, Tobias D. Nawka, Marie T. Jespersen, Sune Hansen, Brian Stellmann, Jan-Patrick Heesen, Christoph Stürner, Klarissa H. Stark, Maria Fiehler, Jens Bester, Maxim Gellißen, Susanne |
author_facet | Thaler, Christian Kyselyova, Anna A. Faizy, Tobias D. Nawka, Marie T. Jespersen, Sune Hansen, Brian Stellmann, Jan-Patrick Heesen, Christoph Stürner, Klarissa H. Stark, Maria Fiehler, Jens Bester, Maxim Gellißen, Susanne |
author_sort | Thaler, Christian |
collection | PubMed |
description | BACKGROUND: Mean kurtosis (MK), one of the parameters derived from diffusion kurtosis imaging (DKI), has shown increased sensitivity to tissue microstructure damage in several neurological disorders. METHODS: Thirty-seven patients with relapsing-remitting MS and eleven healthy controls (HC) received brain imaging on a 3T MR scanner, including a fast DKI sequence. MK and mean diffusivity (MD) were measured in the white matter of HC, normal-appearing white matter (NAWM) of MS patients, contrast-enhancing lesions (CE-L), FLAIR lesions (FLAIR-L) and black holes (BH). RESULTS: Overall 1529 lesions were analyzed, including 30 CE-L, 832 FLAIR-L and 667 BH. Highest MK values were obtained in the white matter of HC (0.814 ± 0.129), followed by NAWM (0.724 ± 0.137), CE-L (0.619 ± 0.096), FLAIR-L (0.565 ± 0.123) and BH (0.549 ± 0.12). Lowest MD values were obtained in the white matter of HC (0.747 ± 0.068 10(−3)mm(2)/sec), followed by NAWM (0.808 ± 0.163 10(−3)mm(2)/sec), CE-L (0.853 ± 0.211 10(−3)mm(2)/sec), BH (0.957 ± 0.304 10(−3)mm(2)/sec) and FLAIR-L (0.976 ± 0.35 10(−3)mm(2)/sec). While MK differed significantly between CE-L and non-enhancing lesions, MD did not. CONCLUSION: MK adds predictive value to differentiate between MS lesions and might provide further information about diffuse white matter injury and lesion microstructure. |
format | Online Article Text |
id | pubmed-7861404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78614042021-02-12 Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging Thaler, Christian Kyselyova, Anna A. Faizy, Tobias D. Nawka, Marie T. Jespersen, Sune Hansen, Brian Stellmann, Jan-Patrick Heesen, Christoph Stürner, Klarissa H. Stark, Maria Fiehler, Jens Bester, Maxim Gellißen, Susanne PLoS One Research Article BACKGROUND: Mean kurtosis (MK), one of the parameters derived from diffusion kurtosis imaging (DKI), has shown increased sensitivity to tissue microstructure damage in several neurological disorders. METHODS: Thirty-seven patients with relapsing-remitting MS and eleven healthy controls (HC) received brain imaging on a 3T MR scanner, including a fast DKI sequence. MK and mean diffusivity (MD) were measured in the white matter of HC, normal-appearing white matter (NAWM) of MS patients, contrast-enhancing lesions (CE-L), FLAIR lesions (FLAIR-L) and black holes (BH). RESULTS: Overall 1529 lesions were analyzed, including 30 CE-L, 832 FLAIR-L and 667 BH. Highest MK values were obtained in the white matter of HC (0.814 ± 0.129), followed by NAWM (0.724 ± 0.137), CE-L (0.619 ± 0.096), FLAIR-L (0.565 ± 0.123) and BH (0.549 ± 0.12). Lowest MD values were obtained in the white matter of HC (0.747 ± 0.068 10(−3)mm(2)/sec), followed by NAWM (0.808 ± 0.163 10(−3)mm(2)/sec), CE-L (0.853 ± 0.211 10(−3)mm(2)/sec), BH (0.957 ± 0.304 10(−3)mm(2)/sec) and FLAIR-L (0.976 ± 0.35 10(−3)mm(2)/sec). While MK differed significantly between CE-L and non-enhancing lesions, MD did not. CONCLUSION: MK adds predictive value to differentiate between MS lesions and might provide further information about diffuse white matter injury and lesion microstructure. Public Library of Science 2021-02-04 /pmc/articles/PMC7861404/ /pubmed/33539364 http://dx.doi.org/10.1371/journal.pone.0245844 Text en © 2021 Thaler 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 Thaler, Christian Kyselyova, Anna A. Faizy, Tobias D. Nawka, Marie T. Jespersen, Sune Hansen, Brian Stellmann, Jan-Patrick Heesen, Christoph Stürner, Klarissa H. Stark, Maria Fiehler, Jens Bester, Maxim Gellißen, Susanne Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging |
title | Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging |
title_full | Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging |
title_fullStr | Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging |
title_full_unstemmed | Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging |
title_short | Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging |
title_sort | heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861404/ https://www.ncbi.nlm.nih.gov/pubmed/33539364 http://dx.doi.org/10.1371/journal.pone.0245844 |
work_keys_str_mv | AT thalerchristian heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT kyselyovaannaa heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT faizytobiasd heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT nawkamariet heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT jespersensune heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT hansenbrian heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT stellmannjanpatrick heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT heesenchristoph heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT sturnerklarissah heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT starkmaria heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT fiehlerjens heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT bestermaxim heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging AT gellißensusanne heterogeneityofmultiplesclerosislesionsinfastdiffusionalkurtosisimaging |