Tissue signature characterisation of diffusion tensor abnormalities in cerebral gliomas
The inherent invasiveness of malignant cells is a major determinant of the poor prognosis of cerebral gliomas. Diffusion tensor MRI (DTI) can identify white matter abnormalities in gliomas that are not seen on conventional imaging. By breaking down DTI into its isotropic (p) and anisotropic (q) comp...
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Veröffentlicht in: | European radiology 2004-10, Vol.14 (10), p.1909-1917 |
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creator | Price, Stephen J Peña, Alonso Burnet, Neil G Jena, Raj Green, Hadrian A L Carpenter, T Adrian Pickard, John D Gillard, Jonathan H |
description | The inherent invasiveness of malignant cells is a major determinant of the poor prognosis of cerebral gliomas. Diffusion tensor MRI (DTI) can identify white matter abnormalities in gliomas that are not seen on conventional imaging. By breaking down DTI into its isotropic (p) and anisotropic (q) components, we can determine tissue diffusion "signatures". In this study we have characterised these abnormalities in peritumoural white matter tracts. Thirty-five patients with cerebral gliomas and seven normal volunteers were imaged with DTI and T2-weighted sequences at 3 T. Displaced, infiltrated and disrupted white matter tracts were identified using fractional anisotropy (FA) maps and directionally encoded colour maps and characterised using tissue signatures. The diffusion tissue signatures were normal in ROIs where the white matter was displaced. Infiltrated white matter was characterised by an increase in the isotropic component of the tensor (p) and a less marked reduction of the anisotropic component (q). In disrupted white matter tracts, there was a marked reduction in q and increase in p. The direction of water diffusion was grossly abnormal in these cases. Diffusion tissue signatures may be a useful method of assessing occult white matter infiltration. |
doi_str_mv | 10.1007/s00330-004-2381-6 |
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Diffusion tensor MRI (DTI) can identify white matter abnormalities in gliomas that are not seen on conventional imaging. By breaking down DTI into its isotropic (p) and anisotropic (q) components, we can determine tissue diffusion "signatures". In this study we have characterised these abnormalities in peritumoural white matter tracts. Thirty-five patients with cerebral gliomas and seven normal volunteers were imaged with DTI and T2-weighted sequences at 3 T. Displaced, infiltrated and disrupted white matter tracts were identified using fractional anisotropy (FA) maps and directionally encoded colour maps and characterised using tissue signatures. The diffusion tissue signatures were normal in ROIs where the white matter was displaced. Infiltrated white matter was characterised by an increase in the isotropic component of the tensor (p) and a less marked reduction of the anisotropic component (q). In disrupted white matter tracts, there was a marked reduction in q and increase in p. The direction of water diffusion was grossly abnormal in these cases. Diffusion tissue signatures may be a useful method of assessing occult white matter infiltration.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-004-2381-6</identifier><identifier>PMID: 15221264</identifier><language>eng</language><publisher>Germany: Springer Nature B.V</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Algorithms ; Body Water - metabolism ; Brain ; Brain - metabolism ; Brain - pathology ; Brain Neoplasms - diagnosis ; Brain Neoplasms - pathology ; Corpus Callosum - pathology ; Diffusion Magnetic Resonance Imaging - methods ; Echo-Planar Imaging - methods ; Female ; Frontal Lobe - pathology ; Glioblastoma - diagnosis ; Glioblastoma - pathology ; Glioma - diagnosis ; Glioma - pathology ; Humans ; Image Enhancement - methods ; Image Processing, Computer-Assisted - methods ; Male ; Middle Aged ; Neoplasm Invasiveness ; Occipital Lobe - pathology ; Prospective Studies ; Signatures</subject><ispartof>European radiology, 2004-10, Vol.14 (10), p.1909-1917</ispartof><rights>Copyright 2004 Springer-Verlag</rights><rights>Springer-Verlag 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-dba392a4bb912148be89cced3977743506b0e5ee8afe7dd737c3c4b3d0ccb0c63</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15221264$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Price, Stephen J</creatorcontrib><creatorcontrib>Peña, Alonso</creatorcontrib><creatorcontrib>Burnet, Neil G</creatorcontrib><creatorcontrib>Jena, Raj</creatorcontrib><creatorcontrib>Green, Hadrian A L</creatorcontrib><creatorcontrib>Carpenter, T Adrian</creatorcontrib><creatorcontrib>Pickard, John D</creatorcontrib><creatorcontrib>Gillard, Jonathan H</creatorcontrib><title>Tissue signature characterisation of diffusion tensor abnormalities in cerebral gliomas</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><description>The inherent invasiveness of malignant cells is a major determinant of the poor prognosis of cerebral gliomas. Diffusion tensor MRI (DTI) can identify white matter abnormalities in gliomas that are not seen on conventional imaging. By breaking down DTI into its isotropic (p) and anisotropic (q) components, we can determine tissue diffusion "signatures". In this study we have characterised these abnormalities in peritumoural white matter tracts. Thirty-five patients with cerebral gliomas and seven normal volunteers were imaged with DTI and T2-weighted sequences at 3 T. Displaced, infiltrated and disrupted white matter tracts were identified using fractional anisotropy (FA) maps and directionally encoded colour maps and characterised using tissue signatures. The diffusion tissue signatures were normal in ROIs where the white matter was displaced. Infiltrated white matter was characterised by an increase in the isotropic component of the tensor (p) and a less marked reduction of the anisotropic component (q). In disrupted white matter tracts, there was a marked reduction in q and increase in p. The direction of water diffusion was grossly abnormal in these cases. Diffusion tissue signatures may be a useful method of assessing occult white matter infiltration.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Body Water - metabolism</subject><subject>Brain</subject><subject>Brain - metabolism</subject><subject>Brain - pathology</subject><subject>Brain Neoplasms - diagnosis</subject><subject>Brain Neoplasms - pathology</subject><subject>Corpus Callosum - pathology</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Echo-Planar Imaging - methods</subject><subject>Female</subject><subject>Frontal Lobe - pathology</subject><subject>Glioblastoma - diagnosis</subject><subject>Glioblastoma - pathology</subject><subject>Glioma - diagnosis</subject><subject>Glioma - pathology</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neoplasm Invasiveness</subject><subject>Occipital Lobe - 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metabolism</topic><topic>Brain</topic><topic>Brain - metabolism</topic><topic>Brain - pathology</topic><topic>Brain Neoplasms - diagnosis</topic><topic>Brain Neoplasms - pathology</topic><topic>Corpus Callosum - pathology</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Echo-Planar Imaging - methods</topic><topic>Female</topic><topic>Frontal Lobe - pathology</topic><topic>Glioblastoma - diagnosis</topic><topic>Glioblastoma - pathology</topic><topic>Glioma - diagnosis</topic><topic>Glioma - pathology</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neoplasm Invasiveness</topic><topic>Occipital Lobe - pathology</topic><topic>Prospective Studies</topic><topic>Signatures</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Price, Stephen J</creatorcontrib><creatorcontrib>Peña, Alonso</creatorcontrib><creatorcontrib>Burnet, Neil G</creatorcontrib><creatorcontrib>Jena, Raj</creatorcontrib><creatorcontrib>Green, Hadrian A L</creatorcontrib><creatorcontrib>Carpenter, T Adrian</creatorcontrib><creatorcontrib>Pickard, John D</creatorcontrib><creatorcontrib>Gillard, Jonathan H</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>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</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>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</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>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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><collection>Neurosciences Abstracts</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Price, Stephen J</au><au>Peña, Alonso</au><au>Burnet, Neil G</au><au>Jena, Raj</au><au>Green, Hadrian A L</au><au>Carpenter, T Adrian</au><au>Pickard, John D</au><au>Gillard, Jonathan H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tissue signature characterisation of diffusion tensor abnormalities in cerebral gliomas</atitle><jtitle>European radiology</jtitle><addtitle>Eur Radiol</addtitle><date>2004-10</date><risdate>2004</risdate><volume>14</volume><issue>10</issue><spage>1909</spage><epage>1917</epage><pages>1909-1917</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>The inherent invasiveness of malignant cells is a major determinant of the poor prognosis of cerebral gliomas. Diffusion tensor MRI (DTI) can identify white matter abnormalities in gliomas that are not seen on conventional imaging. By breaking down DTI into its isotropic (p) and anisotropic (q) components, we can determine tissue diffusion "signatures". In this study we have characterised these abnormalities in peritumoural white matter tracts. Thirty-five patients with cerebral gliomas and seven normal volunteers were imaged with DTI and T2-weighted sequences at 3 T. Displaced, infiltrated and disrupted white matter tracts were identified using fractional anisotropy (FA) maps and directionally encoded colour maps and characterised using tissue signatures. The diffusion tissue signatures were normal in ROIs where the white matter was displaced. Infiltrated white matter was characterised by an increase in the isotropic component of the tensor (p) and a less marked reduction of the anisotropic component (q). In disrupted white matter tracts, there was a marked reduction in q and increase in p. The direction of water diffusion was grossly abnormal in these cases. Diffusion tissue signatures may be a useful method of assessing occult white matter infiltration.</abstract><cop>Germany</cop><pub>Springer Nature B.V</pub><pmid>15221264</pmid><doi>10.1007/s00330-004-2381-6</doi><tpages>9</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Algorithms Body Water - metabolism Brain Brain - metabolism Brain - pathology Brain Neoplasms - diagnosis Brain Neoplasms - pathology Corpus Callosum - pathology Diffusion Magnetic Resonance Imaging - methods Echo-Planar Imaging - methods Female Frontal Lobe - pathology Glioblastoma - diagnosis Glioblastoma - pathology Glioma - diagnosis Glioma - pathology Humans Image Enhancement - methods Image Processing, Computer-Assisted - methods Male Middle Aged Neoplasm Invasiveness Occipital Lobe - pathology Prospective Studies Signatures |
title | Tissue signature characterisation of diffusion tensor abnormalities in cerebral gliomas |
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