La maladie de Parkinson au Canada (serveur d'exploration)

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Investigation of Morphometric Variability of Subthalamic Nucleus, Red Nucleus, and Substantia Nigra in Advanced Parkinson's Disease Patients Using Automatic Segmentation and PCA-Based Analysis

Identifieur interne : 000089 ( France/Analysis ); précédent : 000088; suivant : 000090

Investigation of Morphometric Variability of Subthalamic Nucleus, Red Nucleus, and Substantia Nigra in Advanced Parkinson's Disease Patients Using Automatic Segmentation and PCA-Based Analysis

Auteurs : YIMING XIAO [Canada] ; Pierre Jannin [France] ; Tiziano D'Albis [France] ; Nicolas Guizard [Canada] ; Claire Haegelen [France] ; Florent Lalys [France] ; Marc Verin [France] ; D. Louis Collins [Canada]

Source :

RBID : Pascal:14-0190635

Descripteurs français

English descriptors

Abstract

Subthalamic nucleus (STN) deep brain stimulation (DBS) is an effective surgical therapy to treat Parkinson's disease (PD). Conventional methods employ standard atlas coordinates to target the STN, which, along with the adjacent red nucleus (RN) and substantia nigra (SN), are not well visualized on conventional Tlw MRIs. However, the positions and sizes of the nuclei may be more variable than the standard atlas, thus making the pre-surgical plans inaccurate. We investigated the morphometric variability of the STN, RN and SN by using label-fusion segmentation results from 3T high resolution T2w MRIs of 33 advanced PD patients. In addition to comparing the size and position measurements of the cohort to the Talairach atlas, principal component analysis (PCA) was performed to acquire more intuitive and detailed perspectives of the measured variability. Lastly, the potential correlation between the variability shown by PCA results and the clinical scores was explored.


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Pascal:14-0190635

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<term>Advanced stage</term>
<term>Atlas</term>
<term>Automatic analysis</term>
<term>Deep brain stimulation</term>
<term>Human</term>
<term>Image processing</term>
<term>Locus niger</term>
<term>Morphometry</term>
<term>Nervous system diseases</term>
<term>Parkinson disease</term>
<term>Principal component analysis</term>
<term>Radiodiagnosis</term>
<term>Red nucleus</term>
<term>Segmentation</term>
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<term>Maladie de Parkinson</term>
<term>Pathologie du système nerveux</term>
<term>Morphométrie</term>
<term>Variabilité</term>
<term>Noyau sousthalamique</term>
<term>Noyau rouge</term>
<term>Locus niger</term>
<term>Stade avancé</term>
<term>Homme</term>
<term>Analyse automatique</term>
<term>Segmentation</term>
<term>Traitement image</term>
<term>Atlas</term>
<term>Analyse composante principale</term>
<term>Radiodiagnostic</term>
<term>Stimulation cérébrale profonde</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Homme</term>
<term>Atlas</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Subthalamic nucleus (STN) deep brain stimulation (DBS) is an effective surgical therapy to treat Parkinson's disease (PD). Conventional methods employ standard atlas coordinates to target the STN, which, along with the adjacent red nucleus (RN) and substantia nigra (SN), are not well visualized on conventional Tlw MRIs. However, the positions and sizes of the nuclei may be more variable than the standard atlas, thus making the pre-surgical plans inaccurate. We investigated the morphometric variability of the STN, RN and SN by using label-fusion segmentation results from 3T high resolution T2w MRIs of 33 advanced PD patients. In addition to comparing the size and position measurements of the cohort to the Talairach atlas, principal component analysis (PCA) was performed to acquire more intuitive and detailed perspectives of the measured variability. Lastly, the potential correlation between the variability shown by PCA results and the clinical scores was explored.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Canada</li>
<li>France</li>
</country>
<region>
<li>Québec</li>
<li>Région Bretagne</li>
</region>
<settlement>
<li>Montréal</li>
<li>Rennes</li>
</settlement>
<orgName>
<li>Université McGill</li>
<li>Université de Rennes 1</li>
</orgName>
</list>
<tree>
<country name="Canada">
<region name="Québec">
<name sortKey="Yiming Xiao" sort="Yiming Xiao" uniqKey="Yiming Xiao" last="Yiming Xiao">YIMING XIAO</name>
</region>
<name sortKey="Collins, D Louis" sort="Collins, D Louis" uniqKey="Collins D" first="D. Louis" last="Collins">D. Louis Collins</name>
<name sortKey="Guizard, Nicolas" sort="Guizard, Nicolas" uniqKey="Guizard N" first="Nicolas" last="Guizard">Nicolas Guizard</name>
</country>
<country name="France">
<region name="Région Bretagne">
<name sortKey="Jannin, Pierre" sort="Jannin, Pierre" uniqKey="Jannin P" first="Pierre" last="Jannin">Pierre Jannin</name>
</region>
<name sortKey="D Albis, Tiziano" sort="D Albis, Tiziano" uniqKey="D Albis T" first="Tiziano" last="D'Albis">Tiziano D'Albis</name>
<name sortKey="D Albis, Tiziano" sort="D Albis, Tiziano" uniqKey="D Albis T" first="Tiziano" last="D'Albis">Tiziano D'Albis</name>
<name sortKey="Haegelen, Claire" sort="Haegelen, Claire" uniqKey="Haegelen C" first="Claire" last="Haegelen">Claire Haegelen</name>
<name sortKey="Haegelen, Claire" sort="Haegelen, Claire" uniqKey="Haegelen C" first="Claire" last="Haegelen">Claire Haegelen</name>
<name sortKey="Haegelen, Claire" sort="Haegelen, Claire" uniqKey="Haegelen C" first="Claire" last="Haegelen">Claire Haegelen</name>
<name sortKey="Jannin, Pierre" sort="Jannin, Pierre" uniqKey="Jannin P" first="Pierre" last="Jannin">Pierre Jannin</name>
<name sortKey="Lalys, Florent" sort="Lalys, Florent" uniqKey="Lalys F" first="Florent" last="Lalys">Florent Lalys</name>
<name sortKey="Lalys, Florent" sort="Lalys, Florent" uniqKey="Lalys F" first="Florent" last="Lalys">Florent Lalys</name>
<name sortKey="Verin, Marc" sort="Verin, Marc" uniqKey="Verin M" first="Marc" last="Verin">Marc Verin</name>
<name sortKey="Verin, Marc" sort="Verin, Marc" uniqKey="Verin M" first="Marc" last="Verin">Marc Verin</name>
</country>
</tree>
</affiliations>
</record>

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   |texte=   Investigation of Morphometric Variability of Subthalamic Nucleus, Red Nucleus, and Substantia Nigra in Advanced Parkinson's Disease Patients Using Automatic Segmentation and PCA-Based Analysis
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