Evidence map›Paper›PMID 38191546›Full record

ArticleNPJ Parkinson's disease2024

Diagnostic utility of 7T neuromelanin imaging of the substantia nigra in Parkinson's disease.

Dhairya A Lakhani, Xiangzhi Zhou, Shengzhen Tao, Vishal Patel, Sijin Wen, Lela Okromelidze, Elena Greco, Chen Lin, Erin M Westerhold, Sina Straub and 5 more

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
10.7field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Associations of neuromelanin in the substantia nigra with antipsychotic response in schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Review
  15. Review
  16. Article
  17. Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  18. Article
  19. 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

15 authors at 4 institutions in 1 country.

Dhairya A LakhaniDepartment of Radiology, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-7577-1887
Xiangzhi ZhouDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Shengzhen TaoDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Vishal PatelDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0002-8704-5169
Sijin WenDepartment of Biostatistics, West Virginia University, Morgantown, WV, USA.
Lela OkromelidzeDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Elena GrecoDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Chen LinDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0002-6146-7347
Erin M WesterholdDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Sina StraubDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0002-9167-8778
Zbigniew K WszolekDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0001-5487-1053
Philip W TiptonDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0003-4084-2248
Ryan J UittiDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.
Sanjeet S GrewalDepartment of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA.
Erik H MiddlebrooksDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA. middlebrooks.erik@mayo.edu.ORCID http://orcid.org/0000-0002-4418-9605
WinnMed · USJacksonville College · USJohns Hopkins University · USWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a prevalent neurodegenerative disorder that presents a diagnostic challenge due to symptom overlap with other disorders. Neuromelanin (NM) imaging is a promising biomarker for PD, but adoption has been limited, in part due to subpar performance at standard MRI field strengths. We aimed to evaluate the diagnostic utility of ultra-high field 7T NM-sensitive imaging in the diagnosis of PD versus controls and essential tremor (ET), as well as NM differences among PD subtypes. A retrospective case-control study was conducted including PD patients, ET patients, and controls. 7T NM-sensitive 3D-GRE was acquired, and substantia nigra pars compacta (SNpc) volumes, contrast ratios, and asymmetry indices were calculated. Statistical analyses, including general linear models and ROC curves, were employed. Twenty-one PD patients, 13 ET patients, and 18 controls were assessed. PD patients exhibited significantly lower SNpc volumes compared to non-PD subjects. SNpc total volume showed 100% sensitivity and 96.8% specificity (AUC = 0.998) for differentiating PD from non-PD and 100% sensitivity and 95.2% specificity (AUC = 0.996) in differentiating PD from ET. Contrast ratio was not significantly different between PD and non-PD groups (p = 0.07). There was also significantly higher asymmetry index in SNpc volume in PD compared to non-PD cohorts (p < 0.001). NM signal loss in PD predominantly involved the inferior, posterior, and lateral aspects of SNpc. Akinetic-rigid subtype showed more significant NM signal loss compared to tremor dominant subtype (p < 0.001). 7T NM imaging demonstrates potential as a diagnostic tool for PD, including potential distinction between subtypes, allowing improved understanding of disease progression and subtype-related characteristics.

Identifiers

PMID38191546
PMCPMC10774294
OpenAlexW4390660002

What OpenQuestion holds

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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.