Magnetic resonance diffusion-tensor imaging metrics in High Grade Gliomas: Correlation with IDH1 gene status in WHO 2016 era
•IDH mutation is an important genetic marker in natural history of gliomas (WHO 2016).•DTI metrics can help to analyze IDH1 mutation status in HGG.•RD and MD can help to discriminate between HGG IDH1 wild-type and HGG IDH1 mutated. To evaluate any possible correlation between the presence of Isocitr...
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Veröffentlicht in: | European journal of radiology 2019-07, Vol.116, p.174-179 |
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container_title | European journal of radiology |
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creator | Augelli, Raffaele Ciceri, Elisa Ghimenton, Claudio Zoccatelli, Giada Bucci, Alessandra Nicolato, Antonio Beltramello, Alberto Pinna, Giampietro Ricciardi, Giuseppe K. |
description | •IDH mutation is an important genetic marker in natural history of gliomas (WHO 2016).•DTI metrics can help to analyze IDH1 mutation status in HGG.•RD and MD can help to discriminate between HGG IDH1 wild-type and HGG IDH1 mutated.
To evaluate any possible correlation between the presence of Isocitrate DeHydrogenase 1 mutation (IDH1m) and specific DTI (Diffusion Tensor Imaging) metrics, such as Fractional Anisotropy (FA), Mean Diffusivity (MD), Radial Diffusivity (RD) and Axial Diffusivity (AD).
We retrospectively analyzed 47 patients who underwent an advanced-MR study with DTI followed by surgical intervention with a subsequent histologic diagnosis of High-Grade Glioma (HGG) and immunohistochemical evaluation of IDH1 (Isocitrate DeHydrogenase) mutation status. For each DTI metrics we measured the ratio between tumor and normal tissue and we evaluated the correlation with IDH1 mutation.
We observed a positive correlation with IDH1 status and RD and MD data. No correlation was demonstrated between IDH1 status and FA and AD.
Our results support the hypothesis that the number of residual axonal fibers, extracellular matrix composition and the presence of colliquated tissue, may together contribute to a global RD increase in HGG, with a relatively higher increase in IDH1m tumors.
Our data are in favor of a need for multimodal advance evaluation of HGG. DTI metrics help to analyze IDH1 mutation status, in order to better characterize the lesions and to tailor treatment and follow up. |
doi_str_mv | 10.1016/j.ejrad.2019.04.020 |
format | Article |
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To evaluate any possible correlation between the presence of Isocitrate DeHydrogenase 1 mutation (IDH1m) and specific DTI (Diffusion Tensor Imaging) metrics, such as Fractional Anisotropy (FA), Mean Diffusivity (MD), Radial Diffusivity (RD) and Axial Diffusivity (AD).
We retrospectively analyzed 47 patients who underwent an advanced-MR study with DTI followed by surgical intervention with a subsequent histologic diagnosis of High-Grade Glioma (HGG) and immunohistochemical evaluation of IDH1 (Isocitrate DeHydrogenase) mutation status. For each DTI metrics we measured the ratio between tumor and normal tissue and we evaluated the correlation with IDH1 mutation.
We observed a positive correlation with IDH1 status and RD and MD data. No correlation was demonstrated between IDH1 status and FA and AD.
Our results support the hypothesis that the number of residual axonal fibers, extracellular matrix composition and the presence of colliquated tissue, may together contribute to a global RD increase in HGG, with a relatively higher increase in IDH1m tumors.
Our data are in favor of a need for multimodal advance evaluation of HGG. DTI metrics help to analyze IDH1 mutation status, in order to better characterize the lesions and to tailor treatment and follow up.</description><identifier>ISSN: 0720-048X</identifier><identifier>EISSN: 1872-7727</identifier><identifier>DOI: 10.1016/j.ejrad.2019.04.020</identifier><identifier>PMID: 31153561</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Adult ; Aged ; Anisotropy ; Diffusion Tensor Imaging - methods ; Diffusion tensor imaging metrics ; Female ; Fractional anisotropy ; Glioma - genetics ; Glioma - pathology ; High-Grade Glioma ; Humans ; Isocitrate Dehydrogenase - genetics ; Isocitrate DeHydrogenase mutation ; Magnetic Resonance Spectroscopy ; Male ; Middle Aged ; Multimodal Imaging ; Mutation - genetics ; Radial diffusivity ; Retrospective Studies ; WHO glioma classification</subject><ispartof>European journal of radiology, 2019-07, Vol.116, p.174-179</ispartof><rights>2019 Elsevier B.V.</rights><rights>Copyright © 2019 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-1226468a11a5c258dd6b9d2d83ecc44bd6368079b3ffbe358c2d16bc5d82dc353</citedby><cites>FETCH-LOGICAL-c359t-1226468a11a5c258dd6b9d2d83ecc44bd6368079b3ffbe358c2d16bc5d82dc353</cites><orcidid>0000-0001-8536-5794 ; 0000-0002-8939-8021 ; 0000-0002-2985-382X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0720048X19301548$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31153561$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Augelli, Raffaele</creatorcontrib><creatorcontrib>Ciceri, Elisa</creatorcontrib><creatorcontrib>Ghimenton, Claudio</creatorcontrib><creatorcontrib>Zoccatelli, Giada</creatorcontrib><creatorcontrib>Bucci, Alessandra</creatorcontrib><creatorcontrib>Nicolato, Antonio</creatorcontrib><creatorcontrib>Beltramello, Alberto</creatorcontrib><creatorcontrib>Pinna, Giampietro</creatorcontrib><creatorcontrib>Ricciardi, Giuseppe K.</creatorcontrib><title>Magnetic resonance diffusion-tensor imaging metrics in High Grade Gliomas: Correlation with IDH1 gene status in WHO 2016 era</title><title>European journal of radiology</title><addtitle>Eur J Radiol</addtitle><description>•IDH mutation is an important genetic marker in natural history of gliomas (WHO 2016).•DTI metrics can help to analyze IDH1 mutation status in HGG.•RD and MD can help to discriminate between HGG IDH1 wild-type and HGG IDH1 mutated.
To evaluate any possible correlation between the presence of Isocitrate DeHydrogenase 1 mutation (IDH1m) and specific DTI (Diffusion Tensor Imaging) metrics, such as Fractional Anisotropy (FA), Mean Diffusivity (MD), Radial Diffusivity (RD) and Axial Diffusivity (AD).
We retrospectively analyzed 47 patients who underwent an advanced-MR study with DTI followed by surgical intervention with a subsequent histologic diagnosis of High-Grade Glioma (HGG) and immunohistochemical evaluation of IDH1 (Isocitrate DeHydrogenase) mutation status. For each DTI metrics we measured the ratio between tumor and normal tissue and we evaluated the correlation with IDH1 mutation.
We observed a positive correlation with IDH1 status and RD and MD data. No correlation was demonstrated between IDH1 status and FA and AD.
Our results support the hypothesis that the number of residual axonal fibers, extracellular matrix composition and the presence of colliquated tissue, may together contribute to a global RD increase in HGG, with a relatively higher increase in IDH1m tumors.
Our data are in favor of a need for multimodal advance evaluation of HGG. DTI metrics help to analyze IDH1 mutation status, in order to better characterize the lesions and to tailor treatment and follow up.</description><subject>Adult</subject><subject>Aged</subject><subject>Anisotropy</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>Diffusion tensor imaging metrics</subject><subject>Female</subject><subject>Fractional anisotropy</subject><subject>Glioma - genetics</subject><subject>Glioma - pathology</subject><subject>High-Grade Glioma</subject><subject>Humans</subject><subject>Isocitrate Dehydrogenase - genetics</subject><subject>Isocitrate DeHydrogenase mutation</subject><subject>Magnetic Resonance Spectroscopy</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multimodal Imaging</subject><subject>Mutation - genetics</subject><subject>Radial diffusivity</subject><subject>Retrospective Studies</subject><subject>WHO glioma classification</subject><issn>0720-048X</issn><issn>1872-7727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMtu1DAUhi1ERYfCEyAhL9kk-BbHQWKBBpip1KqbVrCzHPsk9SiJi-0UIfHwuJ3CktXZ_Jfzfwi9oaSmhMr3hxoO0biaEdrVRNSEkWdoQ1XLqrZl7XO0IS0jFRHq-yl6mdKBENKIjr1Ap5zShjeSbtDvSzMukL3FEVJYzGIBOz8Ma_JhqTIsKUTsZzP6ZcQz5Ohtwn7Bez_e4l2pB7ybfJhN-oC3IUaYTC5O_NPnW3z-eU_xCAvglE1eH43f9le4fCwxRPMKnQxmSvD66Z6hm69frrf76uJqd779dFFZ3nS5ooxJIZWh1DSWNco52XeOOcXBWiF6J7lUpO16Pgw98EZZ5qjsbeMUcyWCn6F3x9y7GH6skLKefbIwTWaBsCbNGBdCcdXKIuVHqY0hpQiDvotlfvylKdEP2PVBP2LXD9g1EbpgL663TwVrP4P75_nLuQg-HgVQZt57iDpZDwW28xFs1i74_xb8ATPhlDc</recordid><startdate>201907</startdate><enddate>201907</enddate><creator>Augelli, Raffaele</creator><creator>Ciceri, Elisa</creator><creator>Ghimenton, Claudio</creator><creator>Zoccatelli, Giada</creator><creator>Bucci, Alessandra</creator><creator>Nicolato, Antonio</creator><creator>Beltramello, Alberto</creator><creator>Pinna, Giampietro</creator><creator>Ricciardi, Giuseppe K.</creator><general>Elsevier 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>7X8</scope><orcidid>https://orcid.org/0000-0001-8536-5794</orcidid><orcidid>https://orcid.org/0000-0002-8939-8021</orcidid><orcidid>https://orcid.org/0000-0002-2985-382X</orcidid></search><sort><creationdate>201907</creationdate><title>Magnetic resonance diffusion-tensor imaging metrics in High Grade Gliomas: Correlation with IDH1 gene status in WHO 2016 era</title><author>Augelli, Raffaele ; Ciceri, Elisa ; Ghimenton, Claudio ; Zoccatelli, Giada ; Bucci, Alessandra ; Nicolato, Antonio ; Beltramello, Alberto ; Pinna, Giampietro ; Ricciardi, Giuseppe K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-1226468a11a5c258dd6b9d2d83ecc44bd6368079b3ffbe358c2d16bc5d82dc353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Anisotropy</topic><topic>Diffusion Tensor Imaging - methods</topic><topic>Diffusion tensor imaging metrics</topic><topic>Female</topic><topic>Fractional anisotropy</topic><topic>Glioma - genetics</topic><topic>Glioma - pathology</topic><topic>High-Grade Glioma</topic><topic>Humans</topic><topic>Isocitrate Dehydrogenase - genetics</topic><topic>Isocitrate DeHydrogenase mutation</topic><topic>Magnetic Resonance Spectroscopy</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multimodal Imaging</topic><topic>Mutation - genetics</topic><topic>Radial diffusivity</topic><topic>Retrospective Studies</topic><topic>WHO glioma classification</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Augelli, Raffaele</creatorcontrib><creatorcontrib>Ciceri, Elisa</creatorcontrib><creatorcontrib>Ghimenton, Claudio</creatorcontrib><creatorcontrib>Zoccatelli, Giada</creatorcontrib><creatorcontrib>Bucci, Alessandra</creatorcontrib><creatorcontrib>Nicolato, Antonio</creatorcontrib><creatorcontrib>Beltramello, Alberto</creatorcontrib><creatorcontrib>Pinna, Giampietro</creatorcontrib><creatorcontrib>Ricciardi, Giuseppe K.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Augelli, Raffaele</au><au>Ciceri, Elisa</au><au>Ghimenton, Claudio</au><au>Zoccatelli, Giada</au><au>Bucci, Alessandra</au><au>Nicolato, Antonio</au><au>Beltramello, Alberto</au><au>Pinna, Giampietro</au><au>Ricciardi, Giuseppe K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Magnetic resonance diffusion-tensor imaging metrics in High Grade Gliomas: Correlation with IDH1 gene status in WHO 2016 era</atitle><jtitle>European journal of radiology</jtitle><addtitle>Eur J Radiol</addtitle><date>2019-07</date><risdate>2019</risdate><volume>116</volume><spage>174</spage><epage>179</epage><pages>174-179</pages><issn>0720-048X</issn><eissn>1872-7727</eissn><abstract>•IDH mutation is an important genetic marker in natural history of gliomas (WHO 2016).•DTI metrics can help to analyze IDH1 mutation status in HGG.•RD and MD can help to discriminate between HGG IDH1 wild-type and HGG IDH1 mutated.
To evaluate any possible correlation between the presence of Isocitrate DeHydrogenase 1 mutation (IDH1m) and specific DTI (Diffusion Tensor Imaging) metrics, such as Fractional Anisotropy (FA), Mean Diffusivity (MD), Radial Diffusivity (RD) and Axial Diffusivity (AD).
We retrospectively analyzed 47 patients who underwent an advanced-MR study with DTI followed by surgical intervention with a subsequent histologic diagnosis of High-Grade Glioma (HGG) and immunohistochemical evaluation of IDH1 (Isocitrate DeHydrogenase) mutation status. For each DTI metrics we measured the ratio between tumor and normal tissue and we evaluated the correlation with IDH1 mutation.
We observed a positive correlation with IDH1 status and RD and MD data. No correlation was demonstrated between IDH1 status and FA and AD.
Our results support the hypothesis that the number of residual axonal fibers, extracellular matrix composition and the presence of colliquated tissue, may together contribute to a global RD increase in HGG, with a relatively higher increase in IDH1m tumors.
Our data are in favor of a need for multimodal advance evaluation of HGG. DTI metrics help to analyze IDH1 mutation status, in order to better characterize the lesions and to tailor treatment and follow up.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>31153561</pmid><doi>10.1016/j.ejrad.2019.04.020</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-8536-5794</orcidid><orcidid>https://orcid.org/0000-0002-8939-8021</orcidid><orcidid>https://orcid.org/0000-0002-2985-382X</orcidid></addata></record> |
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subjects | Adult Aged Anisotropy Diffusion Tensor Imaging - methods Diffusion tensor imaging metrics Female Fractional anisotropy Glioma - genetics Glioma - pathology High-Grade Glioma Humans Isocitrate Dehydrogenase - genetics Isocitrate DeHydrogenase mutation Magnetic Resonance Spectroscopy Male Middle Aged Multimodal Imaging Mutation - genetics Radial diffusivity Retrospective Studies WHO glioma classification |
title | Magnetic resonance diffusion-tensor imaging metrics in High Grade Gliomas: Correlation with IDH1 gene status in WHO 2016 era |
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