Evidence map›Paper›PMID 42033789›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Mapping Neurodegenerative Changes in Clinically Uncertain Parkinsonian Syndrome Patients Using Fast MR Spin TomogrAphy in Time-Domain (MR-STAT) Relaxometry at 3T.

Martin B Schilder, Elon D Wallert, Stefano Mandija, Oscar van der Heide, Hongyan Liu, Miha Fuderer, Edwin Versteeg, Jan Booij, Rob M A de Bie, Martijn Beudel and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. 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
–field-weighted citation impact
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. Article
  2. Article
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

16 authors.

Martin B SchilderComputational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID https://orcid.org/0009-0003-4058-4928
Elon D WallertDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0003-0017-1160
Stefano MandijaComputational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID https://orcid.org/0000-0002-4612-5509
Oscar van der HeideComputational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
Hongyan LiuComputational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
Miha FudererComputational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID https://orcid.org/0000-0002-5673-915X
Edwin VersteegComputational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID https://orcid.org/0000-0003-3235-3970
Jan BooijDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0001-6378-7638
Rob M A de BieDepartment of Neurology, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0001-5267-0784
Martijn BeudelDepartment of Neurology, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-2488-7051
Henk W BerendseDepartment of Neurology, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
Tom van MierloDepartment of Neurology, Spaarne Gasthuis, Haarlem, the Netherlands.
Jeroen BlankevoortDepartment of Neurology, Flevoziekenhuis, Almere, the Netherlands.ORCID https://orcid.org/0009-0006-6383-2316
Cornelis A T van den BergComputational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
Elsmarieke van de GiessenDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0001-9956-4233
Alessandro SbrizziComputational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.

Funding

Heuron Co., Ltd.Nederlandse Organisatie voor Wetenschappelijk Onderzoek 17986
6 · The paper itself

Abstract

backgroundMR Spin TomogrAphy in Time-domain (MR-STAT) enables accelerated multiparametric relaxometry (T PURPOSE: To investigate T STUDY TYPE: Prospective cross-sectional study. POPULATION: 52 patients with neurodegenerative and 57 patients with non-neurodegenerative parkinsonism, diagnosed via dopamine transporter single photon emission computed tomography (DAT SPECT) and neurologist review, and 10 HC. FIELDSTRENGTH/SEQUENCE: MP-RAGE (magnetization-prepared rapid acquisition with gradient-echoes) and MR-STAT, a 2D Cartesian-encoded gradient-spoiled gradient-echo sequence with time-varying flip-angle preceded by a non-selective inversion pulse, at 3T. ASSESSMENT: Repeatability of T STATISTICAL TESTS: Regional coefficients of variation (CoV) were computed to assess the repeatability of T

resultsCoVs ranged from 0.5% to 1.7% (T DATA

conclusionMR-STAT showed high repeatability and showed potential to differentiate neurodegenerative from non-neurodegenerative parkinsonism in CUPS patients. EVIDENCE LEVEL: 1. TECHNICAL EFFICACY: 1.

Indexed as

Magnetic Resonance ImagingNeurodegenerative DiseasesParkinsonian DisordersAgedBrainBrain MappingCross-Sectional StudiesDopamine Plasma Membrane Transport ProteinsDopaminergic ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedProspective StudiesReproducibility of ResultsDopamine Plasma Membrane Transport ProteinsCUPSMR‐STATparkinsonismquantitative MRIrelaxometry

Identifiers

PMID42033789
PMCPMC13356393

What OpenQuestion holds

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Registered trials

None linked

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.