Literature DB >> 15817519

Voxel-wise analysis of [123I]beta-CIT SPECT differentiates the Parkinson variant of multiple system atrophy from idiopathic Parkinson's disease.

Christoph Scherfler1, Klaus Seppi, Eveline Donnemiller, Georg Goebel, Christian Brenneis, Irene Virgolini, Gregor K Wenning, Werner Poewe.   

Abstract

To investigate the cerebral dopamine transporter status in the early stages of the parkinson-variant of multiple system atrophy (MSA-P), 15 patients with MSA-P and a disease duration up to 3 years were studied with [123I]beta-CIT single photon emission computed tomography (SPECT). Data were compared with 13 age-matched healthy control subjects and 15 patients with idiopathic Parkinson's disease (IPD), matched for age and disease duration. Parametric SPECT images of the specific-to-nondisplaceable equilibrium partition coefficient (V3''), which is proportional to the receptor density (Bmax) have been generated. To objectively localize focal changes in dopaminergic function throughout the entire brain volume without having to make an a priori hypothesis as to their location, statistical parametric mapping (SPM) was applied to our [123I]beta-CIT SPECT study. Both MSA-P and IPD patients showed significant decreases in striatal [123I]beta-CIT SPECT uptake. However, in MSA-P patients an additional reduction in midbrain [123I]beta-CIT signal was localized with SPM compared with control subjects (MSA-P, V3'': 0.89 +/- 0.37 versus controls V3'': 1.81 +/- 0.38; P < 0.001) and patients with IPD (V3'': 1.84 +/- 0.26; P < 0.001). Stepwise linear discriminant analysis of mean [123I]beta-CIT uptake in the putamen, caudate and midbrain identified the caudate and midbrain as indices to classify correctly 95.2% of subjects as either normal, patients with MSA-P or IPD. Voxel-wise analysis of [123I]beta-CIT SPECT revealed more widespread decline of monoaminergic transporter availability in MSA-P compared with IPD, matching the underlying pathological features. We suggest that the quantification of midbrain DAT signal should be included in the routine clinical analysis of [123I]beta-CIT SPECT in patients with uncertain parkinsonism.

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Year:  2005        PMID: 15817519     DOI: 10.1093/brain/awh485

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  29 in total

Review 1.  SPECT imaging evaluation in movement disorders: far beyond visual assessment.

Authors:  Kosmas Badiavas; Elisavet Molyvda; Ioannis Iakovou; Magdalini Tsolaki; Kyriakos Psarrakos; Nikolaos Karatzas
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-12-02       Impact factor: 9.236

2.  A novel computer-assisted image analysis of [123I]β-CIT SPECT images improves the diagnostic accuracy of parkinsonian disorders.

Authors:  Georg Goebel; Klaus Seppi; Eveline Donnemiller; Boris Warwitz; Gregor K Wenning; Irene Virgolini; Werner Poewe; Christoph Scherfler
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-12-21       Impact factor: 9.236

3.  Distinct spatiotemporal patterns for disease duration and stage in Parkinson's disease.

Authors:  Simon Badoud; Nicolas Nicastro; Valentina Garibotto; Pierre R Burkhard; Sven Haller
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-08-29       Impact factor: 9.236

4.  Ten steps to identify atypical parkinsonism.

Authors:  W F Abdo; G F Borm; M Munneke; M M Verbeek; R A J Esselink; B R Bloem
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-07-17       Impact factor: 10.154

5.  Effects of subthalamic nucleus stimulation on striatal dopaminergic transmission in patients with Parkinson's disease within one-year follow-up.

Authors:  Swen Hesse; Karl Strecker; Dirk Winkler; Julia Luthardt; Christoph Scherfler; Annegret Reupert; Christian Oehlwein; Henryk Barthel; Jens-Peter Schneider; Florian Wegner; Philipp Meyer; Jürgen Meixensberger; Osama Sabri; Johannes Schwarz
Journal:  J Neurol       Date:  2008-05-02       Impact factor: 4.849

6.  Machine learning models for the differential diagnosis of vascular parkinsonism and Parkinson's disease using [(123)I]FP-CIT SPECT.

Authors:  I Huertas-Fernández; F J García-Gómez; D García-Solís; S Benítez-Rivero; V A Marín-Oyaga; S Jesús; M T Cáceres-Redondo; J A Lojo; J F Martín-Rodríguez; F Carrillo; P Mir
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-08-14       Impact factor: 9.236

7.  Feasibility of PET Template-Based Analysis on F-18 FP-CIT PET in Patients with De Novo Parkinson's Disease.

Authors:  Eugene Jeong; Sun Young Oh; Kisoo Pahk; Chan-Nyoung Lee; Kun-Woo Park; Jae Sung Lee; Gi Jeong Cheon; Jae Gol Choe
Journal:  Nucl Med Mol Imaging       Date:  2013-03-26

8.  Presynaptic Striatal Dopaminergic Function in Atypical Parkinsonism: A Metaanalysis of Imaging Studies.

Authors:  Valtteri Kaasinen; Tuomas Kankare; Juho Joutsa; Tero Vahlberg
Journal:  J Nucl Med       Date:  2019-04-12       Impact factor: 10.057

9.  Voxel-based analysis of whole-brain effects of age and gender on dopamine transporter SPECT imaging in healthy subjects.

Authors:  Alexandre Eusebio; Jean-Philippe Azulay; Mathieu Ceccaldi; Nadine Girard; Olivier Mundler; Eric Guedj
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-08-14       Impact factor: 9.236

10.  Genetically determined measures of striatal D2 signaling predict prefrontal activity during working memory performance.

Authors:  Alessandro Bertolino; Paolo Taurisano; Nicola Marco Pisciotta; Giuseppe Blasi; Leonardo Fazio; Raffaella Romano; Barbara Gelao; Luciana Lo Bianco; Madia Lozupone; Annabella Di Giorgio; Grazia Caforio; Fabio Sambataro; Artor Niccoli-Asabella; Audrey Papp; Gianluca Ursini; Lorenzo Sinibaldi; Teresa Popolizio; Wolfgang Sadee; Giuseppe Rubini
Journal:  PLoS One       Date:  2010-02-22       Impact factor: 3.240

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