ArticleMovement disorders : official journal of the Movement Disorder Society2020
Automated MRI Classification in Progressive Supranuclear Palsy: A Large International Cohort Study.
Article in Movement disorders : official journal of the Movement Disorder Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Automated MRI-Based Classification of Parkinsonism: A Deep Learning Approach to Distinguish PD From PSP.CNS neuroscience & therapeutics · 2025Article
- Annual percentage change of MR Parkinsonism index in progressive supranuclear palsy: a feasibility study.European radiology · 2025Article
- Modeling Sporadic Progressive Supranuclear Palsy in 3D Midbrain Organoids: Recapitulating Disease Features for In Vitro Diagnosis and Drug Discovery.Annals of neurology · 2025Article
- Systematic assessment of square-wave jerks in progressive supranuclear palsy: a video-oculographic study.Journal of neurology · 2024Article
- Deep Learning-based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy.Radiology. Artificial intelligence · 2024Article
- Faster, More Practical, but Still Accurate: Deep Learning for Diagnosis of Progressive Supranuclear Palsy.Radiology. Artificial intelligence · 2024Article
- Magnetic Resonance Imaging and Nuclear Imaging of Parkinsonian Disorders: Where do we go from here?Current neuropharmacology · 2024Review
- 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
- Reply to Letter to the Editor: "Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline".European radiology · 2023Article
- Letter to the Editor: "Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline".European radiology · 2023Article
- Differentiating between common PSP phenotypes using structural MRI: a machine learning study.Journal of neurology · 2023Article
- Brainstem atrophy in dementia with Lewy bodies compared with progressive supranuclear palsy and Parkinson's disease on MRI.BMC neurology · 2023Article
- Diagnostic Performance of Putaminal Hypointensity on Susceptibility MRI in Distinguishing Parkinson Disease from Progressive Supranuclear Palsy: A Meta-Analysis.Movement disorders clinical practice · 2023Review
- Magnetic resonance imaging modalities aid in the differential diagnosis of atypical parkinsonian syndromes.Frontiers in neurology · 2023Review
- Morphometric imaging and quantitative susceptibility mapping as complementary tools in the diagnosis of parkinsonisms.European journal of neurology · 2022Article
- Magnetic Resonance Planimetry in the Differential Diagnosis between Parkinson's Disease and Progressive Supranuclear Palsy.Brain sciences · 2022Review
- The tauopathies: Neuroimaging characteristics and emerging experimental therapies.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Review
- Development and Validation of Automated Magnetic Resonance Parkinsonism Index 2.0 to Distinguish Progressive Supranuclear Palsy-Parkinsonism From Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2022Article
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
backgroundThe Magnetic Resonance Parkinsonism Index is listed as one of the most reliable imaging morphometric markers for diagnosis of progressive supranuclear palsy (PSP). However, the use of this index in diagnostic workup has been limited until now by the low generalizability of published results because of small monocentric patient cohorts, the lack of data validation in independent patient series, and manual measurements used for index calculation. The objectives of this study were to investigate the generalizability of Magnetic Resonance Parkinsonism Index performance validating previously established cutoff values in a large international cohort of PSP patients subclassified into PSP-Richardson's syndrome and PSP-parkinsonism and to standardize the use of the automated Magnetic Resonance Parkinsonism Index by providing a web-based platform to obtain homogenous measures around the world.
methodsIn a retrospective international multicenter study, a total of 173 PSP patients and 483 non-PSP participants were enrolled. A web-based platform (https://mrpi.unicz.it) was used to calculate automated Magnetic Resonance Parkinsonism Index values.
resultsMagnetic Resonance Parkinsonism Index values showed optimal performance in differentiating PSP-Richardson's syndrome and PSP-parkinsonism patients from non-PSP participants (93.6% and 86.5% of accuracy, respectively). The Magnetic Resonance Parkinsonism Index was also able to differentiate PSP-Richardson's syndrome and PSP-parkinsonism patients in an early stage of the disease from non-PSP participants (90.1% and 85.9%, respectively). The web-based platform provided the automated Magnetic Resonance Parkinsonism Index calculation in 94% of cases.
conclusionsOur study provides the first evidence on the generalizability of automated Magnetic Resonance Parkinsonism Index measures in a large international cohort of PSP-Richardson's syndrome and PSP-parkinsonism patients. The web-based platform enables widespread applicability of the automated Magnetic Resonance Parkinsonism Index to different clinical and research settings. © 2020 International Parkinson and Movement Disorder Society.
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