Automated structural imaging analysis detects premanifest Huntington’s disease neurodegeneration within one year
Identifieur interne : 003133 ( Ncbi/Curation ); précédent : 003132; suivant : 003134Automated structural imaging analysis detects premanifest Huntington’s disease neurodegeneration within one year
Auteurs : D. S. Adnan Majid [États-Unis] ; Diederick Stoffers [Pays-Bas] ; Sarah Sheldon [États-Unis] ; Samar Hamza [États-Unis] ; Wesley K. Thompson [États-Unis] ; Jody Goldstein [États-Unis] ; Jody Corey-Bloom [États-Unis] ; Adam R. Aron [États-Unis]Source :
- Movement disorders : official journal of the Movement Disorder Society [ 0885-3185 ] ; 2011.
English descriptors
- KwdEn :
- Adult, Brain (pathology), Case-Control Studies, Cognition Disorders (diagnosis), Cognition Disorders (etiology), Disease Progression, Female, Humans, Huntington Disease (complications), Huntington Disease (diagnosis), Image Processing, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging (methods), Male, Middle Aged, Nerve Degeneration (diagnosis), Nerve Degeneration (etiology).
- MESH :
- complications : Huntington Disease.
- diagnosis : Cognition Disorders, Huntington Disease, Nerve Degeneration.
- etiology : Cognition Disorders, Nerve Degeneration.
- methods : Magnetic Resonance Imaging.
- pathology : Brain.
- Adult, Case-Control Studies, Disease Progression, Female, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Male, Middle Aged.
Abstract
Intense efforts are underway to evaluate neuroimaging measures as biomarkers for neurodegeneration in premanifest Huntington’s disease (preHD). We used a completely automated longitudinal analysis method to compare structural scans in preHD and controls.
Using a one-year longitudinal design, we analyzedT1-weighted structural scans in 35 preHD individuals and 22 age-matched controls. We used the SIENA software tool (Structural Image Evaluation, using Normalization, of Atrophy) to yield overall Percentage Brain Volume Change (PBVC) and voxel-level changes in atrophy. We calculated sample sizes for a hypothetical disease modifying (neuroprotection) study.
We found significantly greater yearly atrophy in preHD vs. controls (Mean PBVC controls = −0.149%; preHD = −0.388%; p=.031, Cohen’s d=.617). For a preHD subgroup closest to disease onset, yearly atrophy was over three times that of controls (Mean PBVC close-to-onset preHD = −0.510%; p=.019, Cohen’s d=.920). This atrophy was evident at the voxel level in periventricular regions – consistent with well-established preHD basal ganglia atrophy. We estimated that a neuroprotection study using SIENA would only need 74close-to-onset individuals in each arm (treatment vs. placebo) to detect a 50% slowing in yearly atrophy with80% power.
Automated whole-brain analysis of structural MRI can reliably detect preHD disease progression over one year. These results were attained with a readily available imaging analysis tool – SIENA – which is observer-independent, automated, and robust with respect to image quality, slice thickness, and different pulse sequences. This MRI biomarker approach could be used to evaluate neuroprotection in preHD.
Url:
DOI: 10.1002/mds.23656
PubMed: 21484871
PubMed Central: 3136652
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Adnan Majid</name><affiliation wicri:level="1"><nlm:aff id="A1"> Department of Psychology, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychology, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="A2"> Neurosciences Graduate Program, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Neurosciences Graduate Program, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Stoffers, Diederick" sort="Stoffers, Diederick" uniqKey="Stoffers D" first="Diederick" last="Stoffers">Diederick Stoffers</name><affiliation wicri:level="3"><nlm:aff id="A3"> Netherlands Institute for Neurosciences, Amsterdam, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea> Netherlands Institute for Neurosciences, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation></author><author><name sortKey="Sheldon, Sarah" sort="Sheldon, Sarah" uniqKey="Sheldon S" first="Sarah" last="Sheldon">Sarah Sheldon</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Hamza, Samar" sort="Hamza, Samar" uniqKey="Hamza S" first="Samar" last="Hamza">Samar Hamza</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Thompson, Wesley K" sort="Thompson, Wesley K" uniqKey="Thompson W" first="Wesley K." last="Thompson">Wesley K. 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Aron</name><affiliation wicri:level="1"><nlm:aff id="A1"> Department of Psychology, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychology, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="A2"> Neurosciences Graduate Program, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Neurosciences Graduate Program, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">21484871</idno><idno type="pmc">3136652</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136652</idno><idno type="RBID">PMC:3136652</idno><idno type="doi">10.1002/mds.23656</idno><date when="2011">2011</date><idno type="wicri:Area/Pmc/Corpus">000135</idno><idno type="wicri:Area/Pmc/Curation">000135</idno><idno type="wicri:Area/Pmc/Checkpoint">000282</idno><idno type="wicri:source">PubMed</idno><idno type="wicri:Area/PubMed/Corpus">001294</idno><idno type="wicri:Area/PubMed/Curation">001294</idno><idno type="wicri:Area/PubMed/Checkpoint">001462</idno><idno type="wicri:Area/Ncbi/Merge">003133</idno><idno type="wicri:Area/Ncbi/Curation">003133</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Automated structural imaging analysis detects premanifest Huntington’s disease neurodegeneration within one year</title><author><name sortKey="Majid, D S Adnan" sort="Majid, D S Adnan" uniqKey="Majid D" first="D. S. Adnan" last="Majid">D. S. Adnan Majid</name><affiliation wicri:level="1"><nlm:aff id="A1"> Department of Psychology, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychology, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="A2"> Neurosciences Graduate Program, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Neurosciences Graduate Program, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Stoffers, Diederick" sort="Stoffers, Diederick" uniqKey="Stoffers D" first="Diederick" last="Stoffers">Diederick Stoffers</name><affiliation wicri:level="3"><nlm:aff id="A3"> Netherlands Institute for Neurosciences, Amsterdam, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea> Netherlands Institute for Neurosciences, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation></author><author><name sortKey="Sheldon, Sarah" sort="Sheldon, Sarah" uniqKey="Sheldon S" first="Sarah" last="Sheldon">Sarah Sheldon</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Hamza, Samar" sort="Hamza, Samar" uniqKey="Hamza S" first="Samar" last="Hamza">Samar Hamza</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Thompson, Wesley K" sort="Thompson, Wesley K" uniqKey="Thompson W" first="Wesley K." last="Thompson">Wesley K. Thompson</name><affiliation wicri:level="1"><nlm:aff id="A5"> Department of Psychiatry, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychiatry, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Goldstein, Jody" sort="Goldstein, Jody" uniqKey="Goldstein J" first="Jody" last="Goldstein">Jody Goldstein</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Corey Bloom, Jody" sort="Corey Bloom, Jody" uniqKey="Corey Bloom J" first="Jody" last="Corey-Bloom">Jody Corey-Bloom</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Aron, Adam R" sort="Aron, Adam R" uniqKey="Aron A" first="Adam R." last="Aron">Adam R. Aron</name><affiliation wicri:level="1"><nlm:aff id="A1"> Department of Psychology, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychology, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="A2"> Neurosciences Graduate Program, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Neurosciences Graduate Program, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author></analytic><series><title level="j">Movement disorders : official journal of the Movement Disorder Society</title><idno type="ISSN">0885-3185</idno><idno type="eISSN">1531-8257</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Brain (pathology)</term><term>Case-Control Studies</term><term>Cognition Disorders (diagnosis)</term><term>Cognition Disorders (etiology)</term><term>Disease Progression</term><term>Female</term><term>Humans</term><term>Huntington Disease (complications)</term><term>Huntington Disease (diagnosis)</term><term>Image Processing, Computer-Assisted</term><term>Longitudinal Studies</term><term>Magnetic Resonance Imaging (methods)</term><term>Male</term><term>Middle Aged</term><term>Nerve Degeneration (diagnosis)</term><term>Nerve Degeneration (etiology)</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Huntington Disease</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Cognition Disorders</term><term>Huntington Disease</term><term>Nerve Degeneration</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Cognition Disorders</term><term>Nerve Degeneration</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Magnetic Resonance Imaging</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Brain</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Case-Control Studies</term><term>Disease Progression</term><term>Female</term><term>Humans</term><term>Image Processing, Computer-Assisted</term><term>Longitudinal Studies</term><term>Male</term><term>Middle Aged</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title><p id="P1">Intense efforts are underway to evaluate neuroimaging measures as biomarkers for neurodegeneration in premanifest Huntington’s disease (preHD). We used a completely automated longitudinal analysis method to compare structural scans in preHD and controls.</p></sec><sec sec-type="methods" id="S2"><title>Methods</title><p id="P2">Using a one-year longitudinal design, we analyzedT<sub>1</sub>-weighted structural scans in 35 preHD individuals and 22 age-matched controls. We used the SIENA software tool (Structural Image Evaluation, using Normalization, of Atrophy) to yield overall Percentage Brain Volume Change (PBVC) and voxel-level changes in atrophy. We calculated sample sizes for a hypothetical disease modifying (neuroprotection) study.</p></sec><sec id="S3"><title>Results</title><p id="P3">We found significantly greater yearly atrophy in preHD vs. controls (Mean PBVC controls = −0.149%; preHD = −0.388%; p=.031, Cohen’s d=.617). For a preHD subgroup closest to disease onset, yearly atrophy was over three times that of controls (Mean PBVC close-to-onset preHD = −0.510%; p=.019, Cohen’s d=.920). This atrophy was evident at the voxel level in periventricular regions – consistent with well-established preHD basal ganglia atrophy. We estimated that a neuroprotection study using SIENA would only need 74close-to-onset individuals in each arm (treatment vs. placebo) to detect a 50% slowing in yearly atrophy with80% power.</p></sec><sec id="S4"><title>Conclusions</title><p id="P4">Automated whole-brain analysis of structural MRI can reliably detect preHD disease progression over one year. These results were attained with a readily available imaging analysis tool – SIENA – which is observer-independent, automated, and robust with respect to image quality, slice thickness, and different pulse sequences. This MRI biomarker approach could be used to evaluate neuroprotection in preHD.</p></sec></div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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