Tract‐by‐Tract Morphometric and Diffusivity Analyses In Vivo of Spinocerebellar Degeneration
Identifieur interne : 000A41 ( Main/Corpus ); précédent : 000A40; suivant : 000A42Tract‐by‐Tract Morphometric and Diffusivity Analyses In Vivo of Spinocerebellar Degeneration
Auteurs : Kenshi Terajima ; Hitoshi Matsuzawa ; Takayoshi Shimohata ; Kouhei Akazawa ; Masatoyo Nishizawa ; Tsutomu NakadaSource :
- Journal of Neuroimaging [ 1051-2284 ] ; 2009-07.
English descriptors
Abstract
ABSTRACT: BACKGROUND AND PURPOSE: Three‐dimensional anisotropy contrast (3DAC) based on a periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) sequence on a 3.0T system is a new magnetic resonance imaging technique capable of providing images with significantly high anatomical resolution. The purpose of this study was to confirm whether this technique can characterize the degenerative processes in the brainstem of patients with spinocerebellar degeneration (SCD). METHODS: 3DAC images of 13 patients with multiple system atrophy with predominant cerebellar symptoms (MSA‐C) and seven International Cooperative Ataxia Rating Scale (ICARS) score‐matched patients with Machado‐Joseph disease (MJD) were created using a diffusion‐weighted PROPELLER sequence on a 3.0T system. The section of the middle pons was chosen for morphometric and diffusivity analyses. RESULTS: The above analyses showed that atrophy and increased diffusivity of the ventral portion of the pons indicated MSA‐C, whereas atrophy and increased diffusivity of the pontine tegmentum indicated MJD. Furthermore, ICARS scores significantly correlated with both the severities of the pontine atrophy and the mean diffusivity values of the ventral pontocerebellar tracts. CONCLUSIONS: This study demonstrated that 3DAC PROPELLER on a 3.0T system enables in vivo “tract by tract” quantitative analysis of pontine degeneration in SCD.
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DOI: 10.1111/j.1552-6569.2008.00273.x
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<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Tract‐by‐Tract Morphometric and Diffusivity Analyses In Vivo of Spinocerebellar Degeneration</title><author><name sortKey="Terajima, Kenshi" sort="Terajima, Kenshi" uniqKey="Terajima K" first="Kenshi" last="Terajima">Kenshi Terajima</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author><author><name sortKey="Matsuzawa, Hitoshi" sort="Matsuzawa, Hitoshi" uniqKey="Matsuzawa H" first="Hitoshi" last="Matsuzawa">Hitoshi Matsuzawa</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author><author><name sortKey="Shimohata, Takayoshi" sort="Shimohata, Takayoshi" uniqKey="Shimohata T" first="Takayoshi" last="Shimohata">Takayoshi Shimohata</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author><author><name sortKey="Akazawa, Kouhei" sort="Akazawa, Kouhei" uniqKey="Akazawa K" first="Kouhei" last="Akazawa">Kouhei Akazawa</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author><author><name sortKey="Nishizawa, Masatoyo" sort="Nishizawa, Masatoyo" uniqKey="Nishizawa M" first="Masatoyo" last="Nishizawa">Masatoyo Nishizawa</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author><author><name sortKey="Nakada, Tsutomu" sort="Nakada, Tsutomu" uniqKey="Nakada T" first="Tsutomu" last="Nakada">Tsutomu Nakada</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:3AF244EC517DEEA669FB39835C17844978C799F7</idno><date when="2009" year="2009">2009</date><idno type="doi">10.1111/j.1552-6569.2008.00273.x</idno><idno type="url">https://api.istex.fr/document/3AF244EC517DEEA669FB39835C17844978C799F7/fulltext/pdf</idno><idno type="wicri:Area/Main/Corpus">000A41</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Tract‐by‐Tract Morphometric and Diffusivity Analyses In Vivo of Spinocerebellar Degeneration</title><author><name sortKey="Terajima, Kenshi" sort="Terajima, Kenshi" uniqKey="Terajima K" first="Kenshi" last="Terajima">Kenshi Terajima</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author><author><name sortKey="Matsuzawa, Hitoshi" sort="Matsuzawa, Hitoshi" uniqKey="Matsuzawa H" first="Hitoshi" last="Matsuzawa">Hitoshi Matsuzawa</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author><author><name sortKey="Shimohata, Takayoshi" sort="Shimohata, Takayoshi" uniqKey="Shimohata T" first="Takayoshi" last="Shimohata">Takayoshi Shimohata</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author><author><name sortKey="Akazawa, Kouhei" sort="Akazawa, Kouhei" uniqKey="Akazawa K" first="Kouhei" last="Akazawa">Kouhei Akazawa</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author><author><name sortKey="Nishizawa, Masatoyo" sort="Nishizawa, Masatoyo" uniqKey="Nishizawa M" first="Masatoyo" last="Nishizawa">Masatoyo Nishizawa</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author><author><name sortKey="Nakada, Tsutomu" sort="Nakada, Tsutomu" uniqKey="Nakada T" first="Tsutomu" last="Nakada">Tsutomu Nakada</name><affiliation><mods:affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of Neuroimaging</title><idno type="ISSN">1051-2284</idno><idno type="eISSN">1552-6569</idno><imprint><publisher>Blackwell Publishing Inc</publisher><pubPlace>Malden, USA</pubPlace><date type="published" when="2009-07">2009-07</date><biblScope unit="volume">19</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="220">220</biblScope><biblScope unit="page" to="226">226</biblScope></imprint><idno type="ISSN">1051-2284</idno></series><idno type="istex">3AF244EC517DEEA669FB39835C17844978C799F7</idno><idno type="DOI">10.1111/j.1552-6569.2008.00273.x</idno><idno type="ArticleID">JON273</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1051-2284</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>3DAC</term><term>PROPELLER</term><term>diffusion‐weighted imaging</term><term>morphometry</term><term>spinocerebellar degeneration</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">ABSTRACT: BACKGROUND AND PURPOSE: Three‐dimensional anisotropy contrast (3DAC) based on a periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) sequence on a 3.0T system is a new magnetic resonance imaging technique capable of providing images with significantly high anatomical resolution. The purpose of this study was to confirm whether this technique can characterize the degenerative processes in the brainstem of patients with spinocerebellar degeneration (SCD). METHODS: 3DAC images of 13 patients with multiple system atrophy with predominant cerebellar symptoms (MSA‐C) and seven International Cooperative Ataxia Rating Scale (ICARS) score‐matched patients with Machado‐Joseph disease (MJD) were created using a diffusion‐weighted PROPELLER sequence on a 3.0T system. The section of the middle pons was chosen for morphometric and diffusivity analyses. RESULTS: The above analyses showed that atrophy and increased diffusivity of the ventral portion of the pons indicated MSA‐C, whereas atrophy and increased diffusivity of the pontine tegmentum indicated MJD. Furthermore, ICARS scores significantly correlated with both the severities of the pontine atrophy and the mean diffusivity values of the ventral pontocerebellar tracts. CONCLUSIONS: This study demonstrated that 3DAC PROPELLER on a 3.0T system enables in vivo “tract by tract” quantitative analysis of pontine degeneration in SCD.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Kenshi Terajima MD, PhD</name><affiliations><json:string>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</json:string></affiliations></json:item><json:item><name>Hitoshi Matsuzawa MD, PhD</name><affiliations><json:string>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</json:string></affiliations></json:item><json:item><name>Takayoshi Shimohata MD, PhD</name><affiliations><json:string>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</json:string></affiliations></json:item><json:item><name>Kouhei Akazawa PhD</name><affiliations><json:string>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</json:string></affiliations></json:item><json:item><name>Masatoyo Nishizawa MD, PhD</name><affiliations><json:string>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</json:string></affiliations></json:item><json:item><name>Tsutomu Nakada MD, PhD</name><affiliations><json:string>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>3DAC</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>PROPELLER</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>diffusion‐weighted imaging</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>morphometry</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>spinocerebellar degeneration</value></json:item></subject><articleId><json:string>JON273</json:string></articleId><language><json:string>eng</json:string></language><abstract>ABSTRACT: BACKGROUND AND PURPOSE: Three‐dimensional anisotropy contrast (3DAC) based on a periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) sequence on a 3.0T system is a new magnetic resonance imaging technique capable of providing images with significantly high anatomical resolution. The purpose of this study was to confirm whether this technique can characterize the degenerative processes in the brainstem of patients with spinocerebellar degeneration (SCD). METHODS: 3DAC images of 13 patients with multiple system atrophy with predominant cerebellar symptoms (MSA‐C) and seven International Cooperative Ataxia Rating Scale (ICARS) score‐matched patients with Machado‐Joseph disease (MJD) were created using a diffusion‐weighted PROPELLER sequence on a 3.0T system. The section of the middle pons was chosen for morphometric and diffusivity analyses. RESULTS: The above analyses showed that atrophy and increased diffusivity of the ventral portion of the pons indicated MSA‐C, whereas atrophy and increased diffusivity of the pontine tegmentum indicated MJD. Furthermore, ICARS scores significantly correlated with both the severities of the pontine atrophy and the mean diffusivity values of the ventral pontocerebellar tracts. CONCLUSIONS: This study demonstrated that 3DAC PROPELLER on a 3.0T system enables in vivo “tract by tract” quantitative analysis of pontine degeneration in SCD.</abstract><qualityIndicators><score>6.967</score><pdfVersion>1.4</pdfVersion><pdfPageSize>594 x 783 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>5</keywordCount><abstractCharCount>1435</abstractCharCount><pdfWordCount>4115</pdfWordCount><pdfCharCount>26396</pdfCharCount><pdfPageCount>7</pdfPageCount><abstractWordCount>196</abstractWordCount></qualityIndicators><title>Tract‐by‐Tract Morphometric and Diffusivity Analyses In Vivo of Spinocerebellar Degeneration</title><genre><json:string>article</json:string></genre><host><volume>19</volume><publisherId><json:string>JON</json:string></publisherId><pages><total>7</total><last>226</last><first>220</first></pages><issn><json:string>1051-2284</json:string></issn><issue>3</issue><genre><json:string>Journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>1552-6569</json:string></eissn><title>Journal of Neuroimaging</title><doi><json:string>10.1111/(ISSN)1552-6569</json:string></doi></host><publicationDate>2009</publicationDate><copyrightDate>2009</copyrightDate><doi><json:string>10.1111/j.1552-6569.2008.00273.x</json:string></doi><id>3AF244EC517DEEA669FB39835C17844978C799F7</id><fulltext><json:item><original>true</original><mimetype>application/pdf</mimetype><extension>pdf</extension><uri>https://api.istex.fr/document/3AF244EC517DEEA669FB39835C17844978C799F7/fulltext/pdf</uri></json:item><json:item><original>false</original><mimetype>application/zip</mimetype><extension>zip</extension><uri>https://api.istex.fr/document/3AF244EC517DEEA669FB39835C17844978C799F7/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/3AF244EC517DEEA669FB39835C17844978C799F7/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Tract‐by‐Tract Morphometric and Diffusivity Analyses In Vivo of Spinocerebellar Degeneration</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Blackwell Publishing Inc</publisher><pubPlace>Malden, USA</pubPlace><availability><p>WILEY</p></availability><date>2009</date></publicationStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Tract‐by‐Tract Morphometric and Diffusivity Analyses In Vivo of Spinocerebellar Degeneration</title><author><persName><forename type="first">Kenshi</forename><surname>Terajima</surname></persName><roleName type="degree">MD, PhD</roleName><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation></author><author><persName><forename type="first">Hitoshi</forename><surname>Matsuzawa</surname></persName><roleName type="degree">MD, PhD</roleName><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation></author><author><persName><forename type="first">Takayoshi</forename><surname>Shimohata</surname></persName><roleName type="degree">MD, PhD</roleName><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation></author><author><persName><forename type="first">Kouhei</forename><surname>Akazawa</surname></persName><roleName type="degree">PhD</roleName><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation></author><author><persName><forename type="first">Masatoyo</forename><surname>Nishizawa</surname></persName><roleName type="degree">MD, PhD</roleName><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation></author><author><persName><forename type="first">Tsutomu</forename><surname>Nakada</surname></persName><roleName type="degree">MD, PhD</roleName><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation></author></analytic><monogr><title level="j">Journal of Neuroimaging</title><idno type="pISSN">1051-2284</idno><idno type="eISSN">1552-6569</idno><idno type="DOI">10.1111/(ISSN)1552-6569</idno><imprint><publisher>Blackwell Publishing Inc</publisher><pubPlace>Malden, USA</pubPlace><date type="published" when="2009-07"></date><biblScope unit="volume">19</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="220">220</biblScope><biblScope unit="page" to="226">226</biblScope></imprint></monogr><idno type="istex">3AF244EC517DEEA669FB39835C17844978C799F7</idno><idno type="DOI">10.1111/j.1552-6569.2008.00273.x</idno><idno type="ArticleID">JON273</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2009</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>ABSTRACT: BACKGROUND AND PURPOSE: Three‐dimensional anisotropy contrast (3DAC) based on a periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) sequence on a 3.0T system is a new magnetic resonance imaging technique capable of providing images with significantly high anatomical resolution. The purpose of this study was to confirm whether this technique can characterize the degenerative processes in the brainstem of patients with spinocerebellar degeneration (SCD). METHODS: 3DAC images of 13 patients with multiple system atrophy with predominant cerebellar symptoms (MSA‐C) and seven International Cooperative Ataxia Rating Scale (ICARS) score‐matched patients with Machado‐Joseph disease (MJD) were created using a diffusion‐weighted PROPELLER sequence on a 3.0T system. The section of the middle pons was chosen for morphometric and diffusivity analyses. RESULTS: The above analyses showed that atrophy and increased diffusivity of the ventral portion of the pons indicated MSA‐C, whereas atrophy and increased diffusivity of the pontine tegmentum indicated MJD. Furthermore, ICARS scores significantly correlated with both the severities of the pontine atrophy and the mean diffusivity values of the ventral pontocerebellar tracts. CONCLUSIONS: This study demonstrated that 3DAC PROPELLER on a 3.0T system enables in vivo “tract by tract” quantitative analysis of pontine degeneration in SCD.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>3DAC</term></item><item><term>PROPELLER</term></item><item><term>diffusion‐weighted imaging</term></item><item><term>morphometry</term></item><item><term>spinocerebellar degeneration</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2009-07">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><original>false</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/3AF244EC517DEEA669FB39835C17844978C799F7/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Publishing Inc</publisherName><publisherLoc>Malden, USA</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1552-6569</doi><issn type="print">1051-2284</issn><issn type="electronic">1552-6569</issn><idGroup><id type="product" value="JON"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="JOURNAL OF NEUROIMAGING">Journal of Neuroimaging</title></titleGroup></publicationMeta><publicationMeta level="part" position="07003"><doi origin="wiley">10.1111/jon.2009.19.issue-3</doi><numberingGroup><numbering type="journalVolume" number="19">19</numbering><numbering type="journalIssue" number="3">3</numbering></numberingGroup><coverDate startDate="2009-07">July 2009</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="4" status="forIssue"><doi origin="wiley">10.1111/j.1552-6569.2008.00273.x</doi><idGroup><id type="unit" value="JON273"></id></idGroup><countGroup><count type="pageTotal" number="7"></count></countGroup><titleGroup><title type="tocHeading1"><i>CLINICAL INVESTIGATIVE STUDIES</i></title></titleGroup><copyright>© 2008 by the American Society of Neuroimaging</copyright><eventGroup><event type="firstOnline" date="2008-10-24"></event><event type="publishedOnlineFinalForm" date="2009-06-22"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.5 mode:FullText source:FullText result:FullText" date="2010-04-07"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-31"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-30"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="220">220</numbering><numbering type="pageLast" number="226">226</numbering></numberingGroup><correspondenceTo><b>Correspondence:</b> Address correspondence to Kenshi Terajima, MD, PhD, Department of Medical Informatics, University of Niigata Medical and Dental Hospital, 1 Asahimachi, Niigata 951‐8520, Japan. E‐mail: <email normalForm="terajima@bri.niigata-u.ac.jp">terajima@bri.niigata‐u.ac.jp</email>.</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:JON.JON273.pdf"></link></linkGroup></publicationMeta><contentMeta><unparsedEditorialHistory><b>Acceptance:</b> Received January 15, 2008, and in revised form March 12, 2008. Accepted for publication April 12, 2008.</unparsedEditorialHistory><countGroup><count type="figureTotal" number="5"></count><count type="tableTotal" number="2"></count><count type="formulaTotal" number="0"></count><count type="referenceTotal" number="45"></count><count type="linksCrossRef" number="38"></count></countGroup><titleGroup><title type="main">Tract‐by‐Tract Morphometric and Diffusivity Analyses In Vivo of Spinocerebellar Degeneration</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1"><personName><givenNames>Kenshi</givenNames><familyName>Terajima</familyName><degrees>MD, PhD</degrees></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a1"><personName><givenNames>Hitoshi</givenNames><familyName>Matsuzawa</familyName><degrees>MD, PhD</degrees></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a1"><personName><givenNames>Takayoshi</givenNames><familyName>Shimohata</familyName><degrees>MD, PhD</degrees></personName></creator><creator creatorRole="author" xml:id="cr4" affiliationRef="#a1"><personName><givenNames>Kouhei</givenNames><familyName>Akazawa</familyName><degrees>PhD</degrees></personName></creator><creator creatorRole="author" xml:id="cr5" affiliationRef="#a1"><personName><givenNames>Masatoyo</givenNames><familyName>Nishizawa</familyName><degrees>MD, PhD</degrees></personName></creator><creator creatorRole="author" xml:id="cr6" affiliationRef="#a1"><personName><givenNames>Tsutomu</givenNames><familyName>Nakada</familyName><degrees>MD, PhD</degrees></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="JP"><unparsedAffiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">3DAC</keyword><keyword xml:id="k2">PROPELLER</keyword><keyword xml:id="k3">diffusion‐weighted imaging</keyword><keyword xml:id="k4">morphometry</keyword><keyword xml:id="k5">spinocerebellar degeneration</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><section xml:id="abs1-1"><title type="main">ABSTRACT</title></section><section xml:id="abs1-2"><title type="main">BACKGROUND AND PURPOSE</title><p> <b>Three‐dimensional anisotropy contrast (3DAC) based on a periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) sequence on a 3.0T system is a new magnetic resonance imaging technique capable of providing images with significantly high anatomical resolution. The purpose of this study was to confirm whether this technique can characterize the degenerative processes in the brainstem of patients with spinocerebellar degeneration (SCD).</b> </p></section><section xml:id="abs1-3"><title type="main">METHODS</title><p> <b>3DAC images of 13 patients with multiple system atrophy with predominant cerebellar symptoms (MSA‐C) and seven International Cooperative Ataxia Rating Scale (ICARS) score‐matched patients with Machado‐Joseph disease (MJD) were created using a diffusion‐weighted PROPELLER sequence on a 3.0T system. The section of the middle pons was chosen for morphometric and diffusivity analyses.</b> </p></section><section xml:id="abs1-4"><title type="main">RESULTS</title><p> <b>The above analyses showed that atrophy and increased diffusivity of the ventral portion of the pons indicated MSA‐C, whereas atrophy and increased diffusivity of the pontine tegmentum indicated MJD. Furthermore, ICARS scores significantly correlated with both the severities of the pontine atrophy and the mean diffusivity values of the ventral pontocerebellar tracts.</b> </p></section><section xml:id="abs1-5"><title type="main">CONCLUSIONS</title><p> <b>This study demonstrated that 3DAC PROPELLER on a 3.0T system enables in vivo “tract by tract” quantitative analysis of pontine degeneration in SCD.</b> </p><!-- J Neuroimaging 2009;19:220–226.
</abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Tract‐by‐Tract Morphometric and Diffusivity Analyses In Vivo of Spinocerebellar Degeneration</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Tract‐by‐Tract Morphometric and Diffusivity Analyses In Vivo of Spinocerebellar Degeneration</title></titleInfo><name type="personal"><namePart type="given">Kenshi</namePart><namePart type="family">Terajima</namePart><namePart type="termsOfAddress">MD, PhD</namePart><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Hitoshi</namePart><namePart type="family">Matsuzawa</namePart><namePart type="termsOfAddress">MD, PhD</namePart><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Takayoshi</namePart><namePart type="family">Shimohata</namePart><namePart type="termsOfAddress">MD, PhD</namePart><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Kouhei</namePart><namePart type="family">Akazawa</namePart><namePart type="termsOfAddress">PhD</namePart><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Masatoyo</namePart><namePart type="family">Nishizawa</namePart><namePart type="termsOfAddress">MD, PhD</namePart><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Tsutomu</namePart><namePart type="family">Nakada</namePart><namePart type="termsOfAddress">MD, PhD</namePart><affiliation>From the Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, Niigata, Japan (KT, HM, TN); Department of Neurology, Brain Research Institute, University of Niigata, Niigata, Japan (KT, TS, MN); Department of Medical Informatics, University of Niigata Medical and Dental Hospital, University of Niigata, Niigata, Japan (KT, KA).</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Inc</publisher><place><placeTerm type="text">Malden, USA</placeTerm></place><dateIssued encoding="w3cdtf">2009-07</dateIssued><edition>Acceptance: Received January 15, 2008, and in revised form March 12, 2008. Accepted for publication April 12, 2008.</edition><copyrightDate encoding="w3cdtf">2009</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">5</extent><extent unit="tables">2</extent><extent unit="references">45</extent></physicalDescription><abstract lang="en">ABSTRACT: BACKGROUND AND PURPOSE: Three‐dimensional anisotropy contrast (3DAC) based on a periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) sequence on a 3.0T system is a new magnetic resonance imaging technique capable of providing images with significantly high anatomical resolution. The purpose of this study was to confirm whether this technique can characterize the degenerative processes in the brainstem of patients with spinocerebellar degeneration (SCD). METHODS: 3DAC images of 13 patients with multiple system atrophy with predominant cerebellar symptoms (MSA‐C) and seven International Cooperative Ataxia Rating Scale (ICARS) score‐matched patients with Machado‐Joseph disease (MJD) were created using a diffusion‐weighted PROPELLER sequence on a 3.0T system. The section of the middle pons was chosen for morphometric and diffusivity analyses. RESULTS: The above analyses showed that atrophy and increased diffusivity of the ventral portion of the pons indicated MSA‐C, whereas atrophy and increased diffusivity of the pontine tegmentum indicated MJD. Furthermore, ICARS scores significantly correlated with both the severities of the pontine atrophy and the mean diffusivity values of the ventral pontocerebellar tracts. CONCLUSIONS: This study demonstrated that 3DAC PROPELLER on a 3.0T system enables in vivo “tract by tract” quantitative analysis of pontine degeneration in SCD.</abstract><subject lang="en"><genre>Keywords</genre><topic>3DAC</topic><topic>PROPELLER</topic><topic>diffusion‐weighted imaging</topic><topic>morphometry</topic><topic>spinocerebellar degeneration</topic></subject><relatedItem type="host"><titleInfo><title>Journal of Neuroimaging</title></titleInfo><genre type="Journal">journal</genre><identifier type="ISSN">1051-2284</identifier><identifier type="eISSN">1552-6569</identifier><identifier type="DOI">10.1111/(ISSN)1552-6569</identifier><identifier type="PublisherID">JON</identifier><part><date>2009</date><detail type="volume"><caption>vol.</caption><number>19</number></detail><detail type="issue"><caption>no.</caption><number>3</number></detail><extent unit="pages"><start>220</start><end>226</end><total>7</total></extent></part></relatedItem><identifier type="istex">3AF244EC517DEEA669FB39835C17844978C799F7</identifier><identifier type="DOI">10.1111/j.1552-6569.2008.00273.x</identifier><identifier type="ArticleID">JON273</identifier><accessCondition type="use and reproduction" contentType="copyright">© 2008 by the American Society of Neuroimaging</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Publishing Inc</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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