Literature DB >> 16830312

Visualization and quantification of disease progression in multiple system atrophy.

Till-Karsten Hauser1, Andreas Luft, Martin Skalej, Thomas Nägele, Tilo T J Kircher, Dirk T Leube, Jörg B Schulz.   

Abstract

To visualize and quantify disease progression in multiple system atrophy (MSA) from cerebellar type (MSA-C), we combined two magnetic resonance imaging (MRI) techniques, voxel-based morphometry (VBM) and 3D-based volumetry. Patients suffering from MSA-C (n = 14) were imaged twice with an interval of 2.0 +/- 0.2 years. We first applied VBM to map brain morphology changes between MSA patients and controls and to identify brain areas that showed a significant amount of atrophy. Using 3D-based volumetry, we confirmed that in MSA-C patients, the brainstem including medulla and pons, vermis and cerebellar hemispheres, caudate nucleus and putamen showed significant atrophy compared with controls. Next, we used 3D-based volumetry to analyze the atrophy rates. Atrophy rates in patients with MSA were significantly different from controls for putamen (-11.4% +/- 2.6%/year), vermis (-12.3% +/- 2.9%/year), and cerebellar hemispheres (-6.6% +/- 1.1%/year). The results show that 3D-based MRI volumetry is a tool that allows the disease progression of MSA to be followed over a time period of 2 years and suggest that it may serve as a surrogate marker in clinical trials to measure disease progression.

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Year:  2006        PMID: 16830312     DOI: 10.1002/mds.21032

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  18 in total

1.  Magnetic resonance imaging in spinocerebellar ataxias.

Authors:  Susanne Döhlinger; Till-Karsten Hauser; Johannes Borkert; Andreas R Luft; Jörg B Schulz
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

2.  Consensus paper: radiological biomarkers of cerebellar diseases.

Authors:  Leonardo Baldarçara; Stuart Currie; M Hadjivassiliou; Nigel Hoggard; Allison Jack; Andrea P Jackowski; Mario Mascalchi; Cecilia Parazzini; Kathrin Reetz; Andrea Righini; Jörg B Schulz; Alessandra Vella; Sara Jane Webb; Christophe Habas
Journal:  Cerebellum       Date:  2015-04       Impact factor: 3.847

3.  Callosal tissue loss in multiple system atrophy--a one-year follow-up study.

Authors:  Martina Minnerop; Eileen Lüders; Karsten Specht; Jürgen Ruhlmann; Nicole Schimke; Paul M Thompson; Yi Y Chou; Arthur W Toga; Michael Abele; Ullrich Wüllner; Thomas Klockgether
Journal:  Mov Disord       Date:  2010-11-15       Impact factor: 10.338

Review 4.  Cognitive impairment in multiple system atrophy: a position statement by the Neuropsychology Task Force of the MDS Multiple System Atrophy (MODIMSA) study group.

Authors:  Iva Stankovic; Florian Krismer; Aleksandar Jesic; Angelo Antonini; Thomas Benke; Richard G Brown; David J Burn; Janice L Holton; Horacio Kaufmann; Vladimir S Kostic; Helen Ling; Wassilios G Meissner; Werner Poewe; Marija Semnic; Klaus Seppi; Atsushi Takeda; Daniel Weintraub; Gregor K Wenning
Journal:  Mov Disord       Date:  2014-04-18       Impact factor: 10.338

5.  Abnormalities of white and grey matter in early multiple system atrophy: comparison of parkinsonian and cerebellar variants.

Authors:  Santosh Kumar Dash; Albert Stezin; Tejashree Takalkar; Lija George; Nitish L Kamble; M Netravathi; Ravi Yadav; Keshav J Kumar; Madhura Ingalhalikar; Jitender Saini; Pramod Kumar Pal
Journal:  Eur Radiol       Date:  2018-07-04       Impact factor: 5.315

6.  Brain volume analyses and somatosensory evoked potentials in multiple system atrophy.

Authors:  Satoko Miyatake; Hitoshi Mochizuki; Tetsuji Naka; Yoshikazu Ugawa; Hajime Tanabe; Daisuke Kuzume; Mikiya Suzuki; Katsuhisa Ogata; Mitsuru Kawai
Journal:  J Neurol       Date:  2009-09-30       Impact factor: 4.849

7.  Past, present and future therapeutics for cerebellar ataxias.

Authors:  D Marmolino; M Manto
Journal:  Curr Neuropharmacol       Date:  2010-03       Impact factor: 7.363

Review 8.  The utility of neuroimaging in the differential diagnosis of parkinsonian syndromes.

Authors:  Florian Holtbernd; David Eidelberg
Journal:  Semin Neurol       Date:  2014-06-25       Impact factor: 3.420

9.  Vulnerability to simple faints is predicted by regional differences in brain anatomy.

Authors:  Felix D C C Beacher; Marcus A Gray; Christopher J Mathias; Hugo D Critchley
Journal:  Neuroimage       Date:  2009-05-21       Impact factor: 6.556

10.  Quantitative grey matter histological measures do not correlate with grey matter probability values from in vivo MRI in the temporal lobe.

Authors:  S H Eriksson; S L Free; M Thom; M R Symms; L Martinian; J S Duncan; S M Sisodiya
Journal:  J Neurosci Methods       Date:  2009-05-09       Impact factor: 2.390

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