Evidence map›Paper›PMID 29872633›Full record

ArticleNeuroImage. Clinical2018

Parkinson's disease related signal change in the nigrosomes 1-5 and the substantia nigra using T2* weighted 7T MRI.

Stefan Theodor Schwarz, Olivier Mougin, Yue Xing, Anna Blazejewska, Nin Bajaj, Dorothee P Auer, Penny Gowland

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  16. Review
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  18. Review
  19. Application of Neuromelanin MR Imaging in Parkinson Disease.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  20. 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

7 authors at 3 institutions in 1 country.

Stefan Theodor SchwarzRadiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Queen's Medical Centre, Nottingham, UK; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK; Department of Radiology, Cardiff and Vale University Health Board, Cardiff, UK; Cardiff University Brain Research Imaging Centre (CUBRIC), University of Cardiff, Cardiff, UK. Electronic address: stefan.schwarz@nottingham.ac.uk.
Olivier MouginSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Yue XingRadiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Queen's Medical Centre, Nottingham, UK; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Anna BlazejewskaSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Nin BajajDepartment of Neurology, Queen's Medical Centre, Nottingham University Hospitals, Nottingham, UK.
Dorothee P AuerRadiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Queen's Medical Centre, Nottingham, UK; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK; NIHR Nottingham Biomedical Research Centre, Nottingham, UK.
Penny GowlandSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
University of Nottingham · GBCardiff and Vale University Health Board · GBNottingham University Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improved markers for the progression of Parkinson's disease (PD) are required. Previous work has proven that iron dependent MRI scans can detect the largest Nigrosome (N1) within the substantia nigra (SN) pars compacta and changes in PD. Histopathological studies have shown that N1 is particularly affected in early PD whereas the other nigrosomes (N2-N5) and the surrounding iron-rich SN are affected later. In this study we aimed to determine whether MRI can detect the smaller nigrosomes (N2-N5) and whether graded signal alterations can be detected on T2*-weighted MRI at different disease stages consistent with histopathological changes. An observational prospective study was performed within the research imaging centre at the University of Nottingham, UK. Altogether 26 individuals with confirmed PD (median Hoehn&Yahr stage = 1, Unified PD Rating Scale [UPDRS] = 12.5) and 15 healthy controls participated. High resolution T2*weighted 7T MRI of the brain was performed and visibility of N1-N5 within the SN was qualitatively rated. Normalised T2*weighted signal intensities in manually segmented N1-N5 regions and iron-rich SN were calculated. We performed group comparisons and correlations with severity based on UPDRS. Qualitative measures were a nigrosome visibility score and a confidence score for identification. Quantitative measures were T2*weighted contrast of N1-5 and iron-rich SN relative to white matter. We found that visual assessment of the SN for N1-N5 revealed normal range visibility scores in 14 of 15 controls. N1 was identified with the highest confidence and visibility was in abnormal range in all 26 PD patients. The other nigrosomes were less well visible and less confidently identified. There was a larger PD induced signal reduction in all nigrosomes than in the iron-rich SN (median signal difference N1-5 PD compared to controls: 19.4% [IQR = 24%], iron-rich SN 11% [IQR = 24%,

Indexed as

Magnetic Resonance ImagingAgedDisease ProgressionFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedParkinson DiseaseProspective StudiesSubstantia NigraMRINigrosomeParkinson's diseaseSubstantia NigraT2*

Identifiers

PMID29872633
PMCPMC5986169
OpenAlexW2804302568

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.