ArticleMovement disorders : official journal of the Movement Disorder Society2019
Morphometric MRI profiles of multiple system atrophy variants and implications for differential diagnosis.
Article in Movement disorders : official journal of the Movement Disorder Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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27 citing papers in PubMed, 44 citations in OpenAlex.
- Integrated quantitative susceptibility mapping and radiomics for multiple system atrophy subtypes classification.Neuroradiology · 2026Article
- Multiparametric MRI and imaging transcriptomics reveal molecular and cellular correlates of neurodegeneration in experimental Parkinsonism.NPJ Parkinson's disease · 2026Article
- The role of neuro-imaging in multiple system atrophy.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Neuroimaging in multiple system atrophy: clinical implications and novel developments.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Brain structural features with functional priori to classify Parkinson's disease and multiple system atrophy using diagnostic MRI.Scientific reports · 2025Article
- Assisted Parkinsonism Diagnosis Using Multimodal MRI-The Role of Clinical Insights.Brain and behavior · 2025Article
- White Matter Abnormalities Track Disease Progression in Multiple System Atrophy.Movement disorders clinical practice · 2024Article
- A Blinded Evaluation of Brain Morphometry for Differential Diagnosis of Atypical Parkinsonism.Movement disorders clinical practice · 2024Article
- Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping.Cerebellum (London, England) · 2024Article
- Differentiation between Parkinson's Disease and the Parkinsonian Subtype of Multiple System Atrophy Using the Magnetic Resonance T1w/T2w Ratio in the Middle Cerebellar Peduncle.Diagnostics (Basel, Switzerland) · 2024Article
- Article
- Simple biomarkers to distinguish Parkinson's disease from its mimics in clinical practice: a comprehensive review and future directions.Frontiers in neurology · 2024Review
- Planimetric and Volumetric Brainstem MRI Markers in Progressive Supranuclear Palsy, Multiple System Atrophy, and Corticobasal Syndrome. A Systematic Review and Meta-Analysis.Neurology international · 2023Review
- Toward More Accessible Fully Automated 3D Volumetric MRI Decision Trees for the Differential Diagnosis of Multiple System Atrophy, Related Disorders, and Age-Matched Healthy Subjects.Cerebellum (London, England) · 2023Article
- Deep learning segmentation results in precise delineation of the putamen in multiple system atrophy.European radiology · 2023Article
- Multidimensional biomarkers for multiple system atrophy: an update and future directions.Translational neurodegeneration · 2023Review
- Diagnostic utility of movement disorder society criteria for multiple system atrophy.Frontiers in aging neuroscience · 2023Article
- Multimodal striatal neuromarkers in distinguishing parkinsonian variant of multiple system atrophy from idiopathic Parkinson's disease.CNS neuroscience & therapeutics · 2022Article
- Imaging biomarkers for early multiple system atrophy.Parkinsonism & related disorders · 2022Article
- Advanced brain aging in multiple system atrophy compared to Parkinson's disease.NeuroImage. Clinical · 2022Article
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Authors and funding
10 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundManual width measurements of the middle cerebellar peduncle on MRI were shown to improve the accuracy of an imaging-guided diagnosis of multiple system atrophy (MSA). Recently, automated volume segmentation algorithms were able to reliably differentiate patients with Parkinson's disease (PD) and the parkinsonian variant of MSA. The objective of the current study was to integrate probabilistic information of the middle cerebellar peduncle into an existing MRI atlas for automated subcortical segmentation and to evaluate the diagnostic properties of the novel atlas for the differential diagnosis of MSA (parkinsonian and cerebellar variant) versus PD.
methodsThree Tesla MRI scans of 48 healthy individuals were used to establish an automated whole-brain segmentation procedure that includes the volumes of the putamen, cerebellar gray and white matter, and the middle cerebellar peduncles. Classification accuracy of segmented volumes were tested in early-stage MSA patients (18 MSA-parkinsonism, 13 MSA-cerebellar) and 19 PD patients using a C4.5 classifier.
resultsPutaminal and infratentorial atrophy were present in 77.8% and 61.1% of MSA-parkinsonian patients, respectively. Four of 18 MSA-parkinsonian patients (22.2%) had infratentorial atrophy without evidence of putaminal atrophy. Infratentorial atrophy was present in all MSA-cerebellar patients, with concomitant putaminal atrophy in 46.2% of these cases. The diagnostic algorithm using putaminal and infratentorial volumetric information correctly classified all PD patients and 96.8% of MSA patients.
conclusionsThe middle cerebellar peduncle was successfully integrated into a subcortical segmentation atlas, and its excellent diagnostic accuracy outperformed existing volumetric MRI processing strategies in differentiating MSA patients with variable atrophy patterns from PD patients. © 2019 International Parkinson and Movement Disorder Society.
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