Dopamine transporter SPECT: How to remove subjectivity?
Identifieur interne : 002345 ( Main/Curation ); précédent : 002344; suivant : 002346Dopamine transporter SPECT: How to remove subjectivity?
Auteurs : Christoph Scherfler [Autriche] ; Michael Nocker [Autriche]Source :
- Movement Disorders [ 0885-3185 ] ; 2009.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
- Cocaine (analogs & derivatives), Dopamine, Dopamine Plasma Membrane Transport Proteins (metabolism), Humans, Image Interpretation, Computer-Assisted, Multiple System Atrophy (pathology), Nervous system diseases, Parkinson Disease (radionuclide imaging), Photon, Radiopharmaceuticals, SPECT, Single photon emission tomography, Tomography, Emission-Computed, Single-Photon, dopamine transporter, operator‐independent, region of interest, subjectivity, visual rating.
- MESH :
- chemical , analogs & derivatives : Cocaine.
- chemical , metabolism : Dopamine Plasma Membrane Transport Proteins.
- pathology : Multiple System Atrophy.
- radionuclide imaging : Parkinson Disease.
- Humans, Image Interpretation, Computer-Assisted, Radiopharmaceuticals, Tomography, Emission-Computed, Single-Photon.
Abstract
Clinical criteria enable accurate and reliable diagnosis of parkinsonian syndromes when cardinal clinical features are fully developed. Single photon emission computed tomography (SPECT) investigating the striatal dopamine transporter (DAT) status have been suggested to increase the diagnostic accuracy in uncertain parkinsonian syndromes such as isolated tremor symptoms not fulfilling essential tremor criteria, as well as drug‐induced, vascular and psychogenetic parkinsonism. Several approaches for the analysis of the striatal DAT distribution have been tested for their ability to analyze and quantify SPECT images. Visual assessment of DAT binding and semiquantitative analysis using region of interests have been recommended by Nuclear Medicine Associations to be incorporated in the routine work‐up of DAT‐SPECT. Besides these observer dependent approaches, fully automated image‐analysis techniques have been validated in the clinical setting. Their potential as tools to improve the diagnostic accuracy in patients presenting with parkinsonian features is reviewed here. © 2009 Movement Disorder Society
Url:
DOI: 10.1002/mds.22590
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Single photon emission computed tomography (SPECT) investigating the striatal dopamine transporter (DAT) status have been suggested to increase the diagnostic accuracy in uncertain parkinsonian syndromes such as isolated tremor symptoms not fulfilling essential tremor criteria, as well as drug-induced, vascular and psycho-genetic parkinsonism. Several approaches for the analysis of the striatal DAT distribution have been tested for their ability to analyze and quantify SPECT images. Visual assessment of DAT binding and semiquantitative analysis using region of interests have been recommended by Nuclear Medicine Associations to be incorporated in the routine work-up of DAT-SPECT. Besides these observer dependent approaches, fully automated image-analysis techniques have been validated in the clinical setting. Their potential as tools to improve the diagnostic accuracy in patients presenting with parkinsonian features is reviewed here.</div></front></TEI></INIST><ISTEX><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Dopamine transporter SPECT: How to remove subjectivity?</title><author><name sortKey="Scherfler, Christoph" sort="Scherfler, Christoph" uniqKey="Scherfler C" first="Christoph" last="Scherfler">Christoph Scherfler</name></author><author><name sortKey="Nocker, Michael" sort="Nocker, Michael" uniqKey="Nocker M" first="Michael" last="Nocker">Michael Nocker</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:48A575F25D3BAAD7B6239C1895719686B5FCC93A</idno><date when="2009" year="2009">2009</date><idno type="doi">10.1002/mds.22590</idno><idno type="url">https://api.istex.fr/document/48A575F25D3BAAD7B6239C1895719686B5FCC93A/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">002D61</idno><idno type="wicri:Area/Istex/Curation">002D61</idno><idno type="wicri:Area/Istex/Checkpoint">000F47</idno><idno type="wicri:doubleKey">0885-3185:2009:Scherfler C:dopamine:transporter:spect</idno><idno type="wicri:source">PubMed</idno><idno type="RBID">pubmed:19877234</idno><idno type="wicri:Area/PubMed/Corpus">001B21</idno><idno type="wicri:Area/PubMed/Curation">001B21</idno><idno type="wicri:Area/PubMed/Checkpoint">001E48</idno><idno type="wicri:Area/Ncbi/Merge">002862</idno><idno type="wicri:Area/Ncbi/Curation">002862</idno><idno type="wicri:Area/Ncbi/Checkpoint">002862</idno><idno type="wicri:Area/Main/Merge">002C06</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Dopamine transporter SPECT: How to remove subjectivity?</title><author><name sortKey="Scherfler, Christoph" sort="Scherfler, Christoph" uniqKey="Scherfler C" first="Christoph" last="Scherfler">Christoph Scherfler</name><affiliation wicri:level="1"><country xml:lang="fr">Autriche</country><wicri:regionArea>Department of Neurology, Innsbruck Medical University, Anichstrasse 35, Innsbruck</wicri:regionArea><wicri:noRegion>Innsbruck</wicri:noRegion></affiliation></author><author><name sortKey="Nocker, Michael" sort="Nocker, Michael" uniqKey="Nocker M" first="Michael" last="Nocker">Michael Nocker</name><affiliation wicri:level="1"><country xml:lang="fr">Autriche</country><wicri:regionArea>Department of Neurology, Innsbruck Medical University, Anichstrasse 35, Innsbruck</wicri:regionArea><wicri:noRegion>Innsbruck</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Movement Disorders</title><title level="j" type="abbrev">Mov. Disord.</title><idno type="ISSN">0885-3185</idno><idno type="eISSN">1531-8257</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2009">2009</date><biblScope unit="vol">24</biblScope><biblScope unit="issue">S2</biblScope><biblScope unit="page" from="S721">S721</biblScope><biblScope unit="page" to="S724">S724</biblScope></imprint><idno type="ISSN">0885-3185</idno></series><idno type="istex">48A575F25D3BAAD7B6239C1895719686B5FCC93A</idno><idno type="DOI">10.1002/mds.22590</idno><idno type="ArticleID">MDS22590</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0885-3185</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Cocaine (analogs & derivatives)</term><term>Dopamine Plasma Membrane Transport Proteins (metabolism)</term><term>Humans</term><term>Image Interpretation, Computer-Assisted</term><term>Multiple System Atrophy (pathology)</term><term>Parkinson Disease (radionuclide imaging)</term><term>Radiopharmaceuticals</term><term>SPECT</term><term>Tomography, Emission-Computed, Single-Photon</term><term>dopamine transporter</term><term>operator‐independent</term><term>region of interest</term><term>subjectivity</term><term>visual rating</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analogs & derivatives" xml:lang="en"><term>Cocaine</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Dopamine Plasma Membrane Transport Proteins</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Multiple System Atrophy</term></keywords><keywords scheme="MESH" qualifier="radionuclide imaging" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Image Interpretation, Computer-Assisted</term><term>Radiopharmaceuticals</term><term>Tomography, Emission-Computed, Single-Photon</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Clinical criteria enable accurate and reliable diagnosis of parkinsonian syndromes when cardinal clinical features are fully developed. Single photon emission computed tomography (SPECT) investigating the striatal dopamine transporter (DAT) status have been suggested to increase the diagnostic accuracy in uncertain parkinsonian syndromes such as isolated tremor symptoms not fulfilling essential tremor criteria, as well as drug‐induced, vascular and psychogenetic parkinsonism. Several approaches for the analysis of the striatal DAT distribution have been tested for their ability to analyze and quantify SPECT images. Visual assessment of DAT binding and semiquantitative analysis using region of interests have been recommended by Nuclear Medicine Associations to be incorporated in the routine work‐up of DAT‐SPECT. Besides these observer dependent approaches, fully automated image‐analysis techniques have been validated in the clinical setting. Their potential as tools to improve the diagnostic accuracy in patients presenting with parkinsonian features is reviewed here. © 2009 Movement Disorder Society</div></front></TEI></ISTEX></double></record>Pour manipuler ce document sous Unix (Dilib)
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