Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging
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. Thirty-seven patients with relapsing-remitting MS and eleven healthy controls (HC) received brain imaging on a 3...
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| Veröffentlicht in: | PloS one 2021-02, Vol.16 (2), p.e0245844-e0245844 |
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| creator | 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 |
| description | 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.
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).
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 10-3mm2/sec), followed by NAWM (0.808 ± 0.163 10-3mm2/sec), CE-L (0.853 ± 0.211 10-3mm2/sec), BH (0.957 ± 0.304 10-3mm2/sec) and FLAIR-L (0.976 ± 0.35 10-3mm2/sec). While MK differed significantly between CE-L and non-enhancing lesions, MD did not.
MK adds predictive value to differentiate between MS lesions and might provide further information about diffuse white matter injury and lesion microstructure. |
| doi_str_mv | 10.1371/journal.pone.0245844 |
| format | Article |
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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).
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 10-3mm2/sec), followed by NAWM (0.808 ± 0.163 10-3mm2/sec), CE-L (0.853 ± 0.211 10-3mm2/sec), BH (0.957 ± 0.304 10-3mm2/sec) and FLAIR-L (0.976 ± 0.35 10-3mm2/sec). While MK differed significantly between CE-L and non-enhancing lesions, MD did not.
MK adds predictive value to differentiate between MS lesions and might provide further information about diffuse white matter injury and lesion microstructure.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0245844</identifier><identifier>PMID: 33539364</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Bioengineering ; Biology and Life Sciences ; Brain research ; Central nervous system ; Clinical medicine ; Comparative analysis ; Complications and side effects ; Computer programs ; Data analysis ; Demyelination ; Diagnosis ; Diagnostic systems ; Editing ; Epidemiology ; Funding ; Glioma ; Health care facilities ; Heterogeneity ; Imaging ; Inflammation ; Inflammatory diseases ; Kurtosis ; Life Sciences ; Medical research ; Medicine ; Medicine and Health Sciences ; Methodology ; Multiple sclerosis ; Nervous system ; Neurodegenerative diseases ; Neuroimaging ; Neuroimmunology ; Neurological diseases ; Neurology ; Neurosciences ; Parameter sensitivity ; Patients ; Physical Sciences ; Research and Analysis Methods ; Reviews ; Scars ; Soft tissue injuries ; Software ; Tensors ; Trauma</subject><ispartof>PloS one, 2021-02, Vol.16 (2), p.e0245844-e0245844</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Thaler et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2021 Thaler et al 2021 Thaler et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c792t-1d4e897b247a4aa2773abe6f1cf8990afdf699b3db40e1cbd98371595fddb2e53</citedby><cites>FETCH-LOGICAL-c792t-1d4e897b247a4aa2773abe6f1cf8990afdf699b3db40e1cbd98371595fddb2e53</cites><orcidid>0000-0002-7102-9316 ; 0000-0001-8533-7478</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861404/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861404/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23865,27923,27924,53790,53792,79371,79372</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33539364$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://amu.hal.science/hal-03501174$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Bergsland, Niels</contributor><creatorcontrib>Thaler, Christian</creatorcontrib><creatorcontrib>Kyselyova, Anna A</creatorcontrib><creatorcontrib>Faizy, Tobias D</creatorcontrib><creatorcontrib>Nawka, Marie T</creatorcontrib><creatorcontrib>Jespersen, Sune</creatorcontrib><creatorcontrib>Hansen, Brian</creatorcontrib><creatorcontrib>Stellmann, Jan-Patrick</creatorcontrib><creatorcontrib>Heesen, Christoph</creatorcontrib><creatorcontrib>Stürner, Klarissa H</creatorcontrib><creatorcontrib>Stark, Maria</creatorcontrib><creatorcontrib>Fiehler, Jens</creatorcontrib><creatorcontrib>Bester, Maxim</creatorcontrib><creatorcontrib>Gellißen, Susanne</creatorcontrib><title>Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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).
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 10-3mm2/sec), followed by NAWM (0.808 ± 0.163 10-3mm2/sec), CE-L (0.853 ± 0.211 10-3mm2/sec), BH (0.957 ± 0.304 10-3mm2/sec) and FLAIR-L (0.976 ± 0.35 10-3mm2/sec). While MK differed significantly between CE-L and non-enhancing lesions, MD did not.
MK adds predictive value to differentiate between MS lesions and might provide further information about diffuse white matter injury and lesion microstructure.</description><subject>Analysis</subject><subject>Bioengineering</subject><subject>Biology and Life Sciences</subject><subject>Brain research</subject><subject>Central nervous system</subject><subject>Clinical medicine</subject><subject>Comparative analysis</subject><subject>Complications and side effects</subject><subject>Computer programs</subject><subject>Data analysis</subject><subject>Demyelination</subject><subject>Diagnosis</subject><subject>Diagnostic systems</subject><subject>Editing</subject><subject>Epidemiology</subject><subject>Funding</subject><subject>Glioma</subject><subject>Health care facilities</subject><subject>Heterogeneity</subject><subject>Imaging</subject><subject>Inflammation</subject><subject>Inflammatory diseases</subject><subject>Kurtosis</subject><subject>Life Sciences</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Methodology</subject><subject>Multiple sclerosis</subject><subject>Nervous system</subject><subject>Neurodegenerative diseases</subject><subject>Neuroimaging</subject><subject>Neuroimmunology</subject><subject>Neurological diseases</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>Parameter sensitivity</subject><subject>Patients</subject><subject>Physical Sciences</subject><subject>Research and Analysis Methods</subject><subject>Reviews</subject><subject>Scars</subject><subject>Soft tissue 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of multiple sclerosis lesions in fast diffusional kurtosis imaging</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c792t-1d4e897b247a4aa2773abe6f1cf8990afdf699b3db40e1cbd98371595fddb2e53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Bioengineering</topic><topic>Biology and Life Sciences</topic><topic>Brain research</topic><topic>Central nervous system</topic><topic>Clinical medicine</topic><topic>Comparative analysis</topic><topic>Complications and side effects</topic><topic>Computer programs</topic><topic>Data analysis</topic><topic>Demyelination</topic><topic>Diagnosis</topic><topic>Diagnostic 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Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thaler, Christian</au><au>Kyselyova, Anna A</au><au>Faizy, Tobias D</au><au>Nawka, Marie T</au><au>Jespersen, Sune</au><au>Hansen, Brian</au><au>Stellmann, Jan-Patrick</au><au>Heesen, Christoph</au><au>Stürner, Klarissa H</au><au>Stark, Maria</au><au>Fiehler, Jens</au><au>Bester, Maxim</au><au>Gellißen, Susanne</au><au>Bergsland, Niels</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-02-04</date><risdate>2021</risdate><volume>16</volume><issue>2</issue><spage>e0245844</spage><epage>e0245844</epage><pages>e0245844-e0245844</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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).
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 10-3mm2/sec), followed by NAWM (0.808 ± 0.163 10-3mm2/sec), CE-L (0.853 ± 0.211 10-3mm2/sec), BH (0.957 ± 0.304 10-3mm2/sec) and FLAIR-L (0.976 ± 0.35 10-3mm2/sec). While MK differed significantly between CE-L and non-enhancing lesions, MD did not.
MK adds predictive value to differentiate between MS lesions and might provide further information about diffuse white matter injury and lesion microstructure.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33539364</pmid><doi>10.1371/journal.pone.0245844</doi><tpages>e0245844</tpages><orcidid>https://orcid.org/0000-0002-7102-9316</orcidid><orcidid>https://orcid.org/0000-0001-8533-7478</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2021-02, Vol.16 (2), p.e0245844-e0245844 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2486455648 |
| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Analysis Bioengineering Biology and Life Sciences Brain research Central nervous system Clinical medicine Comparative analysis Complications and side effects Computer programs Data analysis Demyelination Diagnosis Diagnostic systems Editing Epidemiology Funding Glioma Health care facilities Heterogeneity Imaging Inflammation Inflammatory diseases Kurtosis Life Sciences Medical research Medicine Medicine and Health Sciences Methodology Multiple sclerosis Nervous system Neurodegenerative diseases Neuroimaging Neuroimmunology Neurological diseases Neurology Neurosciences Parameter sensitivity Patients Physical Sciences Research and Analysis Methods Reviews Scars Soft tissue injuries Software Tensors Trauma |
| title | Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging |
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