Evidence map›Paper›PMID 38314609›Full record

ArticleMovement disorders clinical practice2024

A Blinded Evaluation of Brain Morphometry for Differential Diagnosis of Atypical Parkinsonism.

Kazuya Kawabata, Florian Krismer, Beatrice Heim, Anna Hussl, Christoph Mueller, Christoph Scherfler, Elke R Gizewski, Klaus Seppi, Werner Poewe

Open access · hybridAbstract read
In one paragraph

Article in Movement disorders clinical practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. The role of neuro-imaging in multiple system atrophy.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 2 countries.

Kazuya KawabataDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.ORCID 0000-0002-8851-4377
Florian KrismerDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.ORCID 0000-0002-4493-5073
Beatrice HeimDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.ORCID 0000-0002-6749-3044
Anna HusslDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.
Christoph MuellerDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.
Christoph ScherflerDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.ORCID 0000-0002-4885-5265
Elke R GizewskiNeuroimaging Research Core Facility, Medical University Innsbruck, Innsbruck, Austria.ORCID 0000-0001-6859-8377
Klaus SeppiDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.ORCID 0000-0001-6503-1455
Werner PoeweDepartment of Neurology, Medical University Innsbruck, Innsbruck, Austria.ORCID 0000-0003-4367-0971
Innsbruck Medical University · AT

Funding

Austrian Science Fund KLI82-B00Japan Society for the Promotion of Science Overseas Research FellowshipOesterreichische Nationalbank 14171
6 · The paper itself

Abstract

backgroundAdvanced imaging techniques have been studied for differential diagnosis between PD, MSA, and PSP.

objectivesThis study aims to validate the utility of individual voxel-based morphometry techniques for atypical parkinsonism in a blinded fashion.

methodsForty-eight healthy controls (HC) T1-WI were used to develop a referential dataset and fit a general linear model after segmentation into gray matter (GM) and white matter (WM) compartments. Segmented GM and WM with PD (n = 96), MSA (n = 18), and PSP (n = 20) were transformed into z-scores using the statistics of referential HC and individual voxel-based z-score maps were generated. An imaging diagnosis was assigned by two independent raters (trained and untrained) blinded to clinical information and final diagnosis. Furthermore, we developed an observer-independent index for ROI-based automated differentiation.

resultsThe diagnostic performance using voxel-based z-score maps by rater 1 and rater 2 for MSA yielded sensitivities: 0.89, 0.94 (95% CI: 0.74-1.00, 0.84-1.00), specificities: 0.94, 0.80 (0.90-0.98, 0.73-0.87); for PSP, sensitivities: 0.85, 0.90 (0.69-1.00, 0.77-1.00), specificities: 0.98, 0.94 (0.96-1.00, 0.90-0.98). Interrater agreement was good for MSA (Cohen's kappa: 0.61), and excellent for PSP (0.84). Receiver operating characteristic analysis using the ROI-based new index showed an area under the curve (AUC): 0.89 (0.77-1.00) for MSA, and 0.99 (0.98-1.00) for PSP.

conclusionsThese evaluations provide support for the utility of this imaging technique in the differential diagnosis of atypical parkinsonism demonstrating a remarkably high differentiation accuracy for PSP, suggesting potential use in clinical settings in the future.

Indexed as

Parkinson DiseaseParkinsonian DisordersSupranuclear Palsy, ProgressiveBrainDiagnosis, DifferentialHumansatypical parkinsonismdifferential diagnosismultiple system atrophyprogressive supranuclear palsyvoxel based morphometry

Identifiers

PMID38314609
PMCPMC10982602
OpenAlexW4391611269

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Registered trials

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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.