In vivo molecular profiling of human glioma using diffusion kurtosis imaging
The purpose of this study is to assess the diagnostic performance of diffusion kurtosis imaging (DKI) for in vivo molecular profiling of human glioma. Normalized mean kurtosis (MK n ) and mean diffusivity (MD n ) metrics from DKI were assessed in 50 patients with histopathologically confirmed glioma...
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| Veröffentlicht in: | Journal of neuro-oncology 2017, Vol.131 (1), p.93-101 |
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| creator | Hempel, Johann-Martin Bisdas, Sotirios Schittenhelm, Jens Brendle, Cornelia Bender, Benjamin Wassmann, Henk Skardelly, Marco Tabatabai, Ghazaleh Vega, Salvador Castaneda Ernemann, Ulrike Klose, Uwe |
| description | The purpose of this study is to assess the diagnostic performance of diffusion kurtosis imaging (DKI) for in vivo molecular profiling of human glioma. Normalized mean kurtosis (MK
n
) and mean diffusivity (MD
n
) metrics from DKI were assessed in 50 patients with histopathologically confirmed glioma. The results were compared in regard to the WHO-based histological findings and molecular characteristics leading to integrated diagnosis (Haarlem Consensus): isocitrate-dehydrogenase (IDH1/2) mutation status, alpha-thalassemia/mental retardation syndrome X-linked (ATRX) expression, chromosome 1p/19q loss of heterozygosity (LOH), and O6-methylguanine DNA methyltransferase (MGMT) promoter methylation status. MK
n
was significantly lower in tumors with IDH1/2 mutation (0.43 ± 0.09) and ATRX loss of expression (0.41 ± 0.11) than in those with IDH1/2 wild type (0.57 ± 0.09, p |
| doi_str_mv | 10.1007/s11060-016-2272-0 |
| format | Article |
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n
) and mean diffusivity (MD
n
) metrics from DKI were assessed in 50 patients with histopathologically confirmed glioma. The results were compared in regard to the WHO-based histological findings and molecular characteristics leading to integrated diagnosis (Haarlem Consensus): isocitrate-dehydrogenase (IDH1/2) mutation status, alpha-thalassemia/mental retardation syndrome X-linked (ATRX) expression, chromosome 1p/19q loss of heterozygosity (LOH), and O6-methylguanine DNA methyltransferase (MGMT) promoter methylation status. MK
n
was significantly lower in tumors with IDH1/2 mutation (0.43 ± 0.09) and ATRX loss of expression (0.41 ± 0.11) than in those with IDH1/2 wild type (0.57 ± 0.09, p < 0.001) and ATRX maintained expression (0.51 ± 0.10, p = 0.004), respectively. Regarding the integrated molecular diagnosis, MK
n
was significantly higher in primary glioblastoma (0.57 ± 0.10) than in astrocytoma (0.39 ± 0.11, p < 0.001) and oligodendroglioma (0.47 ± 0.05, p = 0.003). MK may be used to provide insight into the human glioma molecular profile regarding IDH1/2 mutation status and ATRX expression. Considering the diagnostic and prognostic significance of these molecular markers, MK appears to be a promising in vivo biomarker for glioma. The diagnostic performance of MK seems to fit more with the integrated molecular approach than the conventional histological findings of the current WHO 2007 classification.</description><identifier>ISSN: 0167-594X</identifier><identifier>EISSN: 1573-7373</identifier><identifier>DOI: 10.1007/s11060-016-2272-0</identifier><identifier>PMID: 27604789</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Aged ; Aged, 80 and over ; alpha-Thalassemia - genetics ; Area Under Curve ; Brain Neoplasms - diagnostic imaging ; Brain Neoplasms - genetics ; Chromosome Aberrations ; Chromosomes, Human, Pair 1 - genetics ; Clinical Study ; Diffusion Magnetic Resonance Imaging - methods ; Female ; Follow-Up Studies ; Glioma - diagnostic imaging ; Glioma - genetics ; Humans ; Image Processing, Computer-Assisted ; Isocitrate Dehydrogenase - genetics ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Mutation - genetics ; Neurology ; O-Methylguanine-DNA Methyltransferase - genetics ; Oncology ; Retrospective Studies ; Statistics, Nonparametric ; Young Adult</subject><ispartof>Journal of neuro-oncology, 2017, Vol.131 (1), p.93-101</ispartof><rights>Springer Science+Business Media New York 2016</rights><rights>Journal of Neuro-Oncology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-36fa359aff67b7625a6c8dbb1a25c7490b777a1ecfb6e3e1c791c4c6f69a5d353</citedby><cites>FETCH-LOGICAL-c405t-36fa359aff67b7625a6c8dbb1a25c7490b777a1ecfb6e3e1c791c4c6f69a5d353</cites><orcidid>0000-0002-9647-5136</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11060-016-2272-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11060-016-2272-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27604789$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hempel, Johann-Martin</creatorcontrib><creatorcontrib>Bisdas, Sotirios</creatorcontrib><creatorcontrib>Schittenhelm, Jens</creatorcontrib><creatorcontrib>Brendle, Cornelia</creatorcontrib><creatorcontrib>Bender, Benjamin</creatorcontrib><creatorcontrib>Wassmann, Henk</creatorcontrib><creatorcontrib>Skardelly, Marco</creatorcontrib><creatorcontrib>Tabatabai, Ghazaleh</creatorcontrib><creatorcontrib>Vega, Salvador Castaneda</creatorcontrib><creatorcontrib>Ernemann, Ulrike</creatorcontrib><creatorcontrib>Klose, Uwe</creatorcontrib><title>In vivo molecular profiling of human glioma using diffusion kurtosis imaging</title><title>Journal of neuro-oncology</title><addtitle>J Neurooncol</addtitle><addtitle>J Neurooncol</addtitle><description>The purpose of this study is to assess the diagnostic performance of diffusion kurtosis imaging (DKI) for in vivo molecular profiling of human glioma. Normalized mean kurtosis (MK
n
) and mean diffusivity (MD
n
) metrics from DKI were assessed in 50 patients with histopathologically confirmed glioma. The results were compared in regard to the WHO-based histological findings and molecular characteristics leading to integrated diagnosis (Haarlem Consensus): isocitrate-dehydrogenase (IDH1/2) mutation status, alpha-thalassemia/mental retardation syndrome X-linked (ATRX) expression, chromosome 1p/19q loss of heterozygosity (LOH), and O6-methylguanine DNA methyltransferase (MGMT) promoter methylation status. MK
n
was significantly lower in tumors with IDH1/2 mutation (0.43 ± 0.09) and ATRX loss of expression (0.41 ± 0.11) than in those with IDH1/2 wild type (0.57 ± 0.09, p < 0.001) and ATRX maintained expression (0.51 ± 0.10, p = 0.004), respectively. Regarding the integrated molecular diagnosis, MK
n
was significantly higher in primary glioblastoma (0.57 ± 0.10) than in astrocytoma (0.39 ± 0.11, p < 0.001) and oligodendroglioma (0.47 ± 0.05, p = 0.003). MK may be used to provide insight into the human glioma molecular profile regarding IDH1/2 mutation status and ATRX expression. Considering the diagnostic and prognostic significance of these molecular markers, MK appears to be a promising in vivo biomarker for glioma. The diagnostic performance of MK seems to fit more with the integrated molecular approach than the conventional histological findings of the current WHO 2007 classification.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>alpha-Thalassemia - genetics</subject><subject>Area Under Curve</subject><subject>Brain Neoplasms - diagnostic imaging</subject><subject>Brain Neoplasms - genetics</subject><subject>Chromosome Aberrations</subject><subject>Chromosomes, Human, Pair 1 - genetics</subject><subject>Clinical Study</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Glioma - diagnostic imaging</subject><subject>Glioma - genetics</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Isocitrate Dehydrogenase - genetics</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Mutation - genetics</subject><subject>Neurology</subject><subject>O-Methylguanine-DNA Methyltransferase - genetics</subject><subject>Oncology</subject><subject>Retrospective Studies</subject><subject>Statistics, Nonparametric</subject><subject>Young Adult</subject><issn>0167-594X</issn><issn>1573-7373</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNkUtLAzEUhYMotlZ_gBsJuHEzmsckd2Yp4qNQcKPgLmTSpE6dmdSkU_Dfm6FVRBBc5ZLz3XNzcxA6peSSEgJXkVIiSUaozBgDlpE9NKYCeAYc-D4aJwEyUeYvI3QU45IQkgOnh2jEQKayKMdoNu3wpt543PrGmr7RAa-Cd3VTdwvsHX7tW93hRVP7VuM-Drfz2rlU-Q6_9WHtYx1x3epFko7RgdNNtCe7c4Ke726fbh6y2eP99OZ6lpmciHXGpdNclNo5CRVIJrQ0xbyqqGbCQF6SCgA0tcZV0nJLDZTU5EY6WWox54JP0MXWNz31vbdxrdo6Gts0urO-j4oWsuAM0ub_QLnI80LC4Hr-C136PnRpkcFQMMFLyRJFt5QJPsZgnVqFtH74UJSoIRW1TUWlz1dDKoqknrOdc1-1dv7d8RVDAtgWiEnqFjb8GP2n6ydtSJcN</recordid><startdate>2017</startdate><enddate>2017</enddate><creator>Hempel, Johann-Martin</creator><creator>Bisdas, Sotirios</creator><creator>Schittenhelm, Jens</creator><creator>Brendle, Cornelia</creator><creator>Bender, Benjamin</creator><creator>Wassmann, Henk</creator><creator>Skardelly, Marco</creator><creator>Tabatabai, Ghazaleh</creator><creator>Vega, Salvador Castaneda</creator><creator>Ernemann, Ulrike</creator><creator>Klose, Uwe</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9647-5136</orcidid></search><sort><creationdate>2017</creationdate><title>In vivo molecular profiling of human glioma using diffusion kurtosis imaging</title><author>Hempel, Johann-Martin ; Bisdas, Sotirios ; Schittenhelm, Jens ; Brendle, Cornelia ; Bender, Benjamin ; Wassmann, Henk ; Skardelly, Marco ; Tabatabai, Ghazaleh ; Vega, Salvador Castaneda ; Ernemann, Ulrike ; Klose, Uwe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-36fa359aff67b7625a6c8dbb1a25c7490b777a1ecfb6e3e1c791c4c6f69a5d353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>alpha-Thalassemia - genetics</topic><topic>Area Under Curve</topic><topic>Brain Neoplasms - diagnostic imaging</topic><topic>Brain Neoplasms - genetics</topic><topic>Chromosome Aberrations</topic><topic>Chromosomes, Human, Pair 1 - genetics</topic><topic>Clinical Study</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Glioma - diagnostic imaging</topic><topic>Glioma - genetics</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Isocitrate Dehydrogenase - genetics</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Mutation - genetics</topic><topic>Neurology</topic><topic>O-Methylguanine-DNA Methyltransferase - genetics</topic><topic>Oncology</topic><topic>Retrospective Studies</topic><topic>Statistics, Nonparametric</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hempel, Johann-Martin</creatorcontrib><creatorcontrib>Bisdas, Sotirios</creatorcontrib><creatorcontrib>Schittenhelm, Jens</creatorcontrib><creatorcontrib>Brendle, Cornelia</creatorcontrib><creatorcontrib>Bender, Benjamin</creatorcontrib><creatorcontrib>Wassmann, Henk</creatorcontrib><creatorcontrib>Skardelly, Marco</creatorcontrib><creatorcontrib>Tabatabai, Ghazaleh</creatorcontrib><creatorcontrib>Vega, Salvador Castaneda</creatorcontrib><creatorcontrib>Ernemann, Ulrike</creatorcontrib><creatorcontrib>Klose, Uwe</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of neuro-oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hempel, Johann-Martin</au><au>Bisdas, Sotirios</au><au>Schittenhelm, Jens</au><au>Brendle, Cornelia</au><au>Bender, Benjamin</au><au>Wassmann, Henk</au><au>Skardelly, Marco</au><au>Tabatabai, Ghazaleh</au><au>Vega, Salvador Castaneda</au><au>Ernemann, Ulrike</au><au>Klose, Uwe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In vivo molecular profiling of human glioma using diffusion kurtosis imaging</atitle><jtitle>Journal of neuro-oncology</jtitle><stitle>J Neurooncol</stitle><addtitle>J Neurooncol</addtitle><date>2017</date><risdate>2017</risdate><volume>131</volume><issue>1</issue><spage>93</spage><epage>101</epage><pages>93-101</pages><issn>0167-594X</issn><eissn>1573-7373</eissn><abstract>The purpose of this study is to assess the diagnostic performance of diffusion kurtosis imaging (DKI) for in vivo molecular profiling of human glioma. Normalized mean kurtosis (MK
n
) and mean diffusivity (MD
n
) metrics from DKI were assessed in 50 patients with histopathologically confirmed glioma. The results were compared in regard to the WHO-based histological findings and molecular characteristics leading to integrated diagnosis (Haarlem Consensus): isocitrate-dehydrogenase (IDH1/2) mutation status, alpha-thalassemia/mental retardation syndrome X-linked (ATRX) expression, chromosome 1p/19q loss of heterozygosity (LOH), and O6-methylguanine DNA methyltransferase (MGMT) promoter methylation status. MK
n
was significantly lower in tumors with IDH1/2 mutation (0.43 ± 0.09) and ATRX loss of expression (0.41 ± 0.11) than in those with IDH1/2 wild type (0.57 ± 0.09, p < 0.001) and ATRX maintained expression (0.51 ± 0.10, p = 0.004), respectively. Regarding the integrated molecular diagnosis, MK
n
was significantly higher in primary glioblastoma (0.57 ± 0.10) than in astrocytoma (0.39 ± 0.11, p < 0.001) and oligodendroglioma (0.47 ± 0.05, p = 0.003). MK may be used to provide insight into the human glioma molecular profile regarding IDH1/2 mutation status and ATRX expression. Considering the diagnostic and prognostic significance of these molecular markers, MK appears to be a promising in vivo biomarker for glioma. The diagnostic performance of MK seems to fit more with the integrated molecular approach than the conventional histological findings of the current WHO 2007 classification.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>27604789</pmid><doi>10.1007/s11060-016-2272-0</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9647-5136</orcidid></addata></record> |
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| ispartof | Journal of neuro-oncology, 2017, Vol.131 (1), p.93-101 |
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| language | eng |
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| subjects | Adult Aged Aged, 80 and over alpha-Thalassemia - genetics Area Under Curve Brain Neoplasms - diagnostic imaging Brain Neoplasms - genetics Chromosome Aberrations Chromosomes, Human, Pair 1 - genetics Clinical Study Diffusion Magnetic Resonance Imaging - methods Female Follow-Up Studies Glioma - diagnostic imaging Glioma - genetics Humans Image Processing, Computer-Assisted Isocitrate Dehydrogenase - genetics Male Medicine Medicine & Public Health Middle Aged Mutation - genetics Neurology O-Methylguanine-DNA Methyltransferase - genetics Oncology Retrospective Studies Statistics, Nonparametric Young Adult |
| title | In vivo molecular profiling of human glioma using diffusion kurtosis imaging |
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