MovDisordV3, PascalFrancis, Curation, bibRecord, 000752

Tc-99m ethylene cysteinate dimer SPECT in the differential diagnosis of Parkinsonism

Identifieur interne : 000752 ( PascalFrancis/Curation ); précédent : 000751; suivant : 000753

Tc-99m ethylene cysteinate dimer SPECT in the differential diagnosis of Parkinsonism

Auteurs : Andrew Feigin [États-Unis] ; Angelo Antonini [Italie] ; Masafumi Fukuda [États-Unis] ; Roberta De Notaris [Italie] ; Riccardo Benti [Italie] ; Gianni Pezzoli [Italie] ; Marc J. Mentis [États-Unis] ; James R. Moeller [États-Unis] ; David Eidelberg [États-Unis]

Source :

Movement disorders [ 0885-3185 ] ; 2002.

RBID : Pascal:03-0040689

Descripteurs français

Pascal (Inist)
- Parkinson maladie, Tomographie, Emission, Photon, Encéphale, Atrophie multisystématisée, Diagnostic différentiel, Homme.
Wicri :
- topic : Homme.

English descriptors

KwdEn :
- Brain (vertebrata), Differential diagnostic, Emission, Human, Multiple system atrophy, Parkinson disease, Photon, Tomography.

Abstract

Positron emission tomography (PET) and network analysis have been used to identify a reproducible pattern of regional metabolic covariation that is associated with idiopathic Parkinson's disease (PD). The activity of this PD-related pattern can be quantified in individual subjects and used to discriminate PD patients from atypical parkinsonians. Because PET is not commonly available, we sought to determine whether similar discrimination could be achieved using more routine single photon emission computed tomography (SPECT) perfusion methods. Twenty-three subjects with PD (age, 63 ± 9 years), 22 subjects with multiple system atrophy (MSA; age, 64 ± 7 years), and 20 age-matched healthy controls (age, 62 ± 13 years) underwent SPECT imaging of regional cerebral perfusion with Tc-99m ethylene cysteinate dimer (ECD). Using network analysis, we determined whether a PD-related pattern existed in the SPECT data, and whether its expression discriminated PD from MSA patients. Additionally, we compared the accuracy of group discrimination achieved by this pattern with that of the PET-derived PD-related pattern applied to the SPECT data. Network analysis of the SPECT data identified a significant pattern characterized by relative increases in cerebellar, lentiform, and thalamic perfusion covarying with decrements in the frontal operculum and in the medial temporal cortex. Subject scores for this pattern discriminated PD patients from controls (P < 0.01) and from MSA patients (P < 0.03). Subject scores for the PET-derived PD-related pattern computed in the individual SPECT scans more accurately distinguished PD patients from controls (P < 0.005) and from MSA patients (P = 0.0002). A significant PD-related covariance pattern can be identified in SPECT perfusion data. Moreover, the disease related pattern identified previously with PET can be applied to individual SPECT perfusion scans to provide group discrimination between PD patients, healthy controls, and individuals with MSA. Because of significant individual subject overlap between groups, however, the clinical utility of this method in the differential diagnosis of Parkinsonism remains uncertain.

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A14	`02`			`@1 Instituti Clinici Di Perfezionamento, Parkinson's Institute @2 Milan @3 ITA @Z 2 aut. @Z 4 aut. @Z 5 aut. @Z 6 aut.`
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C01	`01`		`ENG`	@0 Positron emission tomography (PET) and network analysis have been used to identify a reproducible pattern of regional metabolic covariation that is associated with idiopathic Parkinson's disease (PD). The activity of this PD-related pattern can be quantified in individual subjects and used to discriminate PD patients from atypical parkinsonians. Because PET is not commonly available, we sought to determine whether similar discrimination could be achieved using more routine single photon emission computed tomography (SPECT) perfusion methods. Twenty-three subjects with PD (age, 63 ± 9 years), 22 subjects with multiple system atrophy (MSA; age, 64 ± 7 years), and 20 age-matched healthy controls (age, 62 ± 13 years) underwent SPECT imaging of regional cerebral perfusion with Tc-99m ethylene cysteinate dimer (ECD). Using network analysis, we determined whether a PD-related pattern existed in the SPECT data, and whether its expression discriminated PD from MSA patients. Additionally, we compared the accuracy of group discrimination achieved by this pattern with that of the PET-derived PD-related pattern applied to the SPECT data. Network analysis of the SPECT data identified a significant pattern characterized by relative increases in cerebellar, lentiform, and thalamic perfusion covarying with decrements in the frontal operculum and in the medial temporal cortex. Subject scores for this pattern discriminated PD patients from controls (P < 0.01) and from MSA patients (P < 0.03). Subject scores for the PET-derived PD-related pattern computed in the individual SPECT scans more accurately distinguished PD patients from controls (P < 0.005) and from MSA patients (P = 0.0002). A significant PD-related covariance pattern can be identified in SPECT perfusion data. Moreover, the disease related pattern identified previously with PET can be applied to individual SPECT perfusion scans to provide group discrimination between PD patients, healthy controls, and individuals with MSA. Because of significant individual subject overlap between groups, however, the clinical utility of this method in the differential diagnosis of Parkinsonism remains uncertain.
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N21				`@1 020`
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Le document en format XML

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<series><title level="j" type="main">Movement disorders</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Brain (vertebrata)</term>
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<term>Emission</term>
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<term>Photon</term>
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</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Parkinson maladie</term>
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<front><div type="abstract" xml:lang="en">Positron emission tomography (PET) and network analysis have been used to identify a reproducible pattern of regional metabolic covariation that is associated with idiopathic Parkinson's disease (PD). The activity of this PD-related pattern can be quantified in individual subjects and used to discriminate PD patients from atypical parkinsonians. Because PET is not commonly available, we sought to determine whether similar discrimination could be achieved using more routine single photon emission computed tomography (SPECT) perfusion methods. Twenty-three subjects with PD (age, 63 ± 9 years), 22 subjects with multiple system atrophy (MSA; age, 64 ± 7 years), and 20 age-matched healthy controls (age, 62 ± 13 years) underwent SPECT imaging of regional cerebral perfusion with Tc-99m ethylene cysteinate dimer (ECD). Using network analysis, we determined whether a PD-related pattern existed in the SPECT data, and whether its expression discriminated PD from MSA patients. Additionally, we compared the accuracy of group discrimination achieved by this pattern with that of the PET-derived PD-related pattern applied to the SPECT data. Network analysis of the SPECT data identified a significant pattern characterized by relative increases in cerebellar, lentiform, and thalamic perfusion covarying with decrements in the frontal operculum and in the medial temporal cortex. Subject scores for this pattern discriminated PD patients from controls (P < 0.01) and from MSA patients (P < 0.03). Subject scores for the PET-derived PD-related pattern computed in the individual SPECT scans more accurately distinguished PD patients from controls (P < 0.005) and from MSA patients (P = 0.0002). A significant PD-related covariance pattern can be identified in SPECT perfusion data. Moreover, the disease related pattern identified previously with PET can be applied to individual SPECT perfusion scans to provide group discrimination between PD patients, healthy controls, and individuals with MSA. Because of significant individual subject overlap between groups, however, the clinical utility of this method in the differential diagnosis of Parkinsonism remains uncertain.</div>
</front>
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<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0885-3185</s0>
</fA01>
<fA03 i2="1"><s0>Mov. disord.</s0>
</fA03>
<fA05><s2>17</s2>
</fA05>
<fA06><s2>6</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>Tc-99m ethylene cysteinate dimer SPECT in the differential diagnosis of Parkinsonism</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>FEIGIN (Andrew)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>ANTONINI (Angelo)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>FUKUDA (Masafumi)</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>DE NOTARIS (Roberta)</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>BENTI (Riccardo)</s1>
</fA11>
<fA11 i1="06" i2="1"><s1>PEZZOLI (Gianni)</s1>
</fA11>
<fA11 i1="07" i2="1"><s1>MENTIS (Marc J.)</s1>
</fA11>
<fA11 i1="08" i2="1"><s1>MOELLER (James R.)</s1>
</fA11>
<fA11 i1="09" i2="1"><s1>EIDELBERG (David)</s1>
</fA11>
<fA14 i1="01"><s1>Center for Neuroscience, North Shore University Hospital, Manhasset, New York and New York University School of Medicine</s1>
<s2>New York, New York</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>9 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Instituti Clinici Di Perfezionamento, Parkinson's Institute</s1>
<s2>Milan</s2>
<s3>ITA</s3>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Department of Psychiatry, Columbia College of Physicians and Surgeons</s1>
<s2>New York, New York</s2>
<s3>USA</s3>
<sZ>8 aut.</sZ>
</fA14>
<fA20><s1>1265-1270</s1>
</fA20>
<fA21><s1>2002</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>20953</s2>
<s5>354000105559450170</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2003 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>32 ref.</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>03-0040689</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Movement disorders</s0>
</fA64>
<fA66 i1="01"><s0>USA</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>Positron emission tomography (PET) and network analysis have been used to identify a reproducible pattern of regional metabolic covariation that is associated with idiopathic Parkinson's disease (PD). The activity of this PD-related pattern can be quantified in individual subjects and used to discriminate PD patients from atypical parkinsonians. Because PET is not commonly available, we sought to determine whether similar discrimination could be achieved using more routine single photon emission computed tomography (SPECT) perfusion methods. Twenty-three subjects with PD (age, 63 ± 9 years), 22 subjects with multiple system atrophy (MSA; age, 64 ± 7 years), and 20 age-matched healthy controls (age, 62 ± 13 years) underwent SPECT imaging of regional cerebral perfusion with Tc-99m ethylene cysteinate dimer (ECD). Using network analysis, we determined whether a PD-related pattern existed in the SPECT data, and whether its expression discriminated PD from MSA patients. Additionally, we compared the accuracy of group discrimination achieved by this pattern with that of the PET-derived PD-related pattern applied to the SPECT data. Network analysis of the SPECT data identified a significant pattern characterized by relative increases in cerebellar, lentiform, and thalamic perfusion covarying with decrements in the frontal operculum and in the medial temporal cortex. Subject scores for this pattern discriminated PD patients from controls (P < 0.01) and from MSA patients (P < 0.03). Subject scores for the PET-derived PD-related pattern computed in the individual SPECT scans more accurately distinguished PD patients from controls (P < 0.005) and from MSA patients (P = 0.0002). A significant PD-related covariance pattern can be identified in SPECT perfusion data. Moreover, the disease related pattern identified previously with PET can be applied to individual SPECT perfusion scans to provide group discrimination between PD patients, healthy controls, and individuals with MSA. Because of significant individual subject overlap between groups, however, the clinical utility of this method in the differential diagnosis of Parkinsonism remains uncertain.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002B17G</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Parkinson maladie</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Parkinson disease</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Parkinson enfermedad</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Tomographie</s0>
<s5>04</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Tomography</s0>
<s5>04</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Tomografía</s0>
<s5>04</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Emission</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Emission</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Emisión</s0>
<s5>05</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Photon</s0>
<s5>06</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Photon</s0>
<s5>06</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Fotón</s0>
<s5>06</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Encéphale</s0>
<s5>07</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Brain (vertebrata)</s0>
<s5>07</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Encéfalo</s0>
<s5>07</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Atrophie multisystématisée</s0>
<s2>NM</s2>
<s5>10</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Multiple system atrophy</s0>
<s2>NM</s2>
<s5>10</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Atrofia multisistematizada</s0>
<s2>NM</s2>
<s5>10</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Diagnostic différentiel</s0>
<s5>17</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Differential diagnostic</s0>
<s5>17</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Diagnóstico diferencial</s0>
<s5>17</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Homme</s0>
<s5>20</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Human</s0>
<s5>20</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Hombre</s0>
<s5>20</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Système nerveux pathologie</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Nervous system diseases</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Sistema nervioso patología</s0>
<s5>37</s5>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Système nerveux central pathologie</s0>
<s5>38</s5>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Central nervous system disease</s0>
<s5>38</s5>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Sistema nervosio central patología</s0>
<s5>38</s5>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Encéphale pathologie</s0>
<s5>39</s5>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Cerebral disorder</s0>
<s5>39</s5>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Encéfalo patología</s0>
<s5>39</s5>
</fC07>
<fC07 i1="04" i2="X" l="FRE"><s0>Extrapyramidal syndrome</s0>
<s5>40</s5>
</fC07>
<fC07 i1="04" i2="X" l="ENG"><s0>Extrapyramidal syndrome</s0>
<s5>40</s5>
</fC07>
<fC07 i1="04" i2="X" l="SPA"><s0>Extrapiramidal síndrome</s0>
<s5>40</s5>
</fC07>
<fC07 i1="05" i2="X" l="FRE"><s0>Maladie dégénérative</s0>
<s5>41</s5>
</fC07>
<fC07 i1="05" i2="X" l="ENG"><s0>Degenerative disease</s0>
<s5>41</s5>
</fC07>
<fC07 i1="05" i2="X" l="SPA"><s0>Enfermedad degenerativa</s0>
<s5>41</s5>
</fC07>
<fC07 i1="06" i2="X" l="FRE"><s0>Radiodiagnostic</s0>
<s5>45</s5>
</fC07>
<fC07 i1="06" i2="X" l="ENG"><s0>Radiodiagnosis</s0>
<s5>45</s5>
</fC07>
<fC07 i1="06" i2="X" l="SPA"><s0>Radiodiagnóstico</s0>
<s5>45</s5>
</fC07>
<fC07 i1="07" i2="X" l="FRE"><s0>Système nerveux central</s0>
<s5>53</s5>
</fC07>
<fC07 i1="07" i2="X" l="ENG"><s0>Central nervous system</s0>
<s5>53</s5>
</fC07>
<fC07 i1="07" i2="X" l="SPA"><s0>Sistema nervioso central</s0>
<s5>53</s5>
</fC07>
<fN21><s1>020</s1>
</fN21>
<fN82><s1>PSI</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

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Movement Disorders (revue)

Tc-99m ethylene cysteinate dimer SPECT in the differential diagnosis of Parkinsonism

Tc-99m ethylene cysteinate dimer SPECT in the differential diagnosis of Parkinsonism

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