Image-guided preoperative prediction of pyramidal tract side effect in deep brain stimulation: proof of concept and application to the pyramidal tract side effect induced by pallidal stimulation
Identifieur interne : 000083 ( Main/Exploration ); précédent : 000082; suivant : 000084Image-guided preoperative prediction of pyramidal tract side effect in deep brain stimulation: proof of concept and application to the pyramidal tract side effect induced by pallidal stimulation
Auteurs : Clement Baumgarten ; Yulong Zhao [France] ; Paul Sauleau [France] ; Cécile Malrain [France] ; Pierre Jannin [France] ; Claire Haegelen [France]Source :
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Abstract
Deep brain stimulation of the medial globus pallidus (GPm) is a surgical procedure for treating patients suffering from Parkinson's disease. Its therapeutic effect may be limited by the presence of pyramidal tract side effect (PTSE). PTSE is a contraction time-locked to the stimulation when the current spreading reaches the motor fibers of the pyramidal tract within the internal capsule. The objective of the study was to propose a preoperative predictive model of PTSE. A machine learning-based method called PyMAN (PTSE model based on artificial neural network) accounting for the current used in stimulation, the three-dimensional electrode coordinates and the angle of the trajectory, was designed to predict the occurrence of PTSE. Ten patients implanted in the GPm have been tested by a clinician to create a labeled dataset of the stimulation parameters that trigger PTSE. The kappa index value between the data predicted by PyMAN and the labeled data was 0.78. Further evaluation studies are desirable to confirm whether PyMAN could be a reliable tool for assisting the surgeon to prevent PTSE during the preoperative planning.
Url:
DOI: 10.1117/1.JMI.3.2.025001
Affiliations:
- France
- Pays de la Loire, Région Bretagne
- Nantes, Rennes
- Université de Nantes, Université de Rennes 1, Université européenne de Bretagne
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Le document en format XML
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CS 46510 - 35065 Rennes cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-rennes1.fr/</ref></desc></org></tutelle><tutelle active="#struct-300129" type="direct"><org type="institution" xml:id="struct-300129" status="VALID"><orgName>Hôpital Pontchaillou</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-301327" type="direct"><org type="institution" xml:id="struct-301327" status="VALID"><orgName>CHU Pontchaillou [Rennes]</orgName><desc><address><addrLine>2 Rue Henri le Guilloux, 35000 Rennes</addrLine><country key="FR"></country></address><ref type="url">http://www.chu-rennes.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Rennes</settlement><region type="region" nuts="2">Région Bretagne</region></placeName><orgName type="university">Université de Rennes 1</orgName><orgName type="institution" wicri:auto="newGroup">Université européenne de Bretagne</orgName></affiliation></author></analytic><idno type="DOI">10.1117/1.JMI.3.2.025001</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term> Computer-assisted surgery</term><term> Deep Brain Stimulation</term><term> computational modeling</term><term> parkinson’s disease</term><term> patient-specific model</term><term> pyramidal tract side effect</term><term>artificial neural network</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Deep brain stimulation of the medial globus pallidus (GPm) is a surgical procedure for treating patients suffering from Parkinson's disease. Its therapeutic effect may be limited by the presence of pyramidal tract side effect (PTSE). PTSE is a contraction time-locked to the stimulation when the current spreading reaches the motor fibers of the pyramidal tract within the internal capsule. The objective of the study was to propose a preoperative predictive model of PTSE. A machine learning-based method called PyMAN (PTSE model based on artificial neural network) accounting for the current used in stimulation, the three-dimensional electrode coordinates and the angle of the trajectory, was designed to predict the occurrence of PTSE. Ten patients implanted in the GPm have been tested by a clinician to create a labeled dataset of the stimulation parameters that trigger PTSE. The kappa index value between the data predicted by PyMAN and the labeled data was 0.78. Further evaluation studies are desirable to confirm whether PyMAN could be a reliable tool for assisting the surgeon to prevent PTSE during the preoperative planning.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Pays de la Loire</li><li>Région Bretagne</li></region><settlement><li>Nantes</li><li>Rennes</li></settlement><orgName><li>Université de Nantes</li><li>Université de Rennes 1</li><li>Université européenne de Bretagne</li></orgName></list><tree><noCountry><name sortKey="Baumgarten, Clement" sort="Baumgarten, Clement" uniqKey="Baumgarten C" first="Clement" last="Baumgarten">Clement Baumgarten</name></noCountry><country name="France"><region name="Région Bretagne"><name sortKey="Zhao, Yulong" sort="Zhao, Yulong" uniqKey="Zhao Y" first="Yulong" last="Zhao">Yulong Zhao</name></region><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="Malrain, Cecile" sort="Malrain, Cecile" uniqKey="Malrain C" first="Cécile" last="Malrain">Cécile Malrain</name><name sortKey="Sauleau, Paul" sort="Sauleau, Paul" uniqKey="Sauleau P" first="Paul" last="Sauleau">Paul Sauleau</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= Image-guided preoperative prediction of pyramidal tract side effect in deep brain stimulation: proof of concept and application to the pyramidal tract side effect induced by pallidal stimulation
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