ArticleThe Lancet. Digital health2019
Development and Validation of the Automated Imaging Differentiation in Parkinsonism (AID-P): A Multi-Site Machine Learning Study.
Article in The Lancet. Digital health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 109 citations in OpenAlex.
- Diffusion Magnetic Resonance Imaging Detects Progression in Parkinson's Disease: A Placebo-Controlled Trial of Rasagiline.Movement disorders : official journal of the Movement Disorder Society · 2022Trial
- The method matters: free water imaging in Parkinson's disease is not a binary verdict.NPJ Parkinson's disease · 2026Article
- Reply to 'The method matters: free water imaging in Parkinson's disease is not a binary verdict'.NPJ Parkinson's disease · 2026Article
- Diffusion MRI and α-Synuclein Seed Amplification Status in Parkinson's Disease.Annals of neurology · 2026Article
- Divergent Glymphatic Dysfunction and Free Water Pathology Underpin Distinct Mechanisms and Enable Differential Diagnosis in Parkinson's Disease and Multiple System Atrophy.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Novel applications of machine learning and computational neuroscience models to neuroimaging in Parkinson's disease and related disorders.Frontiers in aging neuroscience · 2026Review
- Fixel-Based Analysis of Diffusion Imaging as a Quantitative Marker of Disease State in Spinocerebellar Ataxia.Annals of clinical and translational neurology · 2025Article
- Harnessing routine MRI for the early screening of Parkinson's disease: a multicenter machine learning study using T2-weighted FLAIR imaging.Insights into imaging · 2025Article
- Assisted Parkinsonism Diagnosis Using Multimodal MRI-The Role of Clinical Insights.Brain and behavior · 2025Article
- Longitudinal Free-Water Changes in Dementia with Lewy Bodies.Movement disorders : official journal of the Movement Disorder Society · 2024Article
- Use of artificial intelligence in critical care: opportunities and obstacles.Critical care (London, England) · 2024Review
- Cortico-basal ganglia white matter microstructure is linked to restricted repetitive behavior in autism spectrum disorder.Molecular autism · 2024Article
- Functional and free-water imaging in rapid eye movement behaviour disorder and Parkinson's disease.Brain communications · 2024Article
- How should we be using biomarkers in trials of disease modification in Parkinson's disease?Brain : a journal of neurology · 2023Article
- Deep learning segmentation results in precise delineation of the putamen in multiple system atrophy.European radiology · 2023Article
- Subject-specific whole-brain parcellations of nodes and boundaries are modulated differently under 10 Hz rTMS.Scientific reports · 2023Article
- Magnetic resonance imaging modalities aid in the differential diagnosis of atypical parkinsonian syndromes.Frontiers in neurology · 2023Review
- Research progress in the early diagnosis of Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Review
- Morphometric imaging and quantitative susceptibility mapping as complementary tools in the diagnosis of parkinsonisms.European journal of neurology · 2022Article
- Multiple system atrophy.Nature reviews. Disease primers · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
31 authors at 11 institutions in 2 countries.
Funding
Abstract
Background: There is a critical need to develop valid, non-invasive biomarkers for Parkinsonian syndromes. The current 17-site, international study assesses whether non-invasive diffusion MRI (dMRI) can distinguish between Parkinsonian syndromes. Methods: We used dMRI from 1002 subjects, along with the Movement Disorders Society Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III), to develop and validate disease-specific machine learning comparisons using 60 template regions and tracts of interest in Montreal Neurological Institute (MNI) space between Parkinson's disease (PD) and Atypical Parkinsonism (multiple system atrophy - MSA, progressive supranuclear palsy - PSP), as well as between MSA and PSP. For each comparison, models were developed on a training/validation cohort and evaluated in a test cohort by quantifying the area under the curve (AUC) of receiving operating characteristic (ROC) curves. Findings: In the test cohort for both disease-specific comparisons, AUCs were high in the dMRI + MDS-UPDRS (PD vs. Atypical Parkinsonism: 0·962; MSA vs. PSP: 0·897) and dMRI Only (PD vs. Atypical Parkinsonism: 0·955; MSA vs. PSP: 0·926) models, whereas the MDS-UPDRS III Only models had significantly lower AUCs (PD vs. Atypical Parkinsonism: 0·775; MSA vs. PSP: 0·582). Interpretations: This study provides an objective, validated, and generalizable imaging approach to distinguish different forms of Parkinsonian syndromes using multi-site dMRI cohorts. The dMRI method does not involve radioactive tracers, is completely automated, and can be collected in less than 12 minutes across 3T scanners worldwide. The use of this test could thus positively impact the clinical care of patients with Parkinson's disease and Parkinsonism as well as reduce the number of misdiagnosed cases in clinical trials.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.