Evidence map›Paper›PMID 26294646›Full record

ArticleAJNR. American journal of neuroradiology2015

Nigrosome 1 Detection at 3T MRI for the Diagnosis of Early-Stage Idiopathic Parkinson Disease: Assessment of Diagnostic Accuracy and Agreement on Imaging Asymmetry and Clinical Laterality.

Y Noh, Y H Sung, J Lee, E Y Kim

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In one paragraph

Article in AJNR. American journal of neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 4 of them syntheses that pooled it.

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54citing papers in PubMed, 4 pooled it
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1 · What the graph read from it

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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

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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

54 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Present and Future of Ultra-High Field MRI in Neurodegenerative Disorders.Current neurology and neuroscience reports · 2018
    Pooled it
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  20. 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 · 2022
    Review
4 · The record

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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

4 authors.

Y NohFrom the Departments of Neurology (Y.N., Y.H.S.).
Y H SungFrom the Departments of Neurology (Y.N., Y.H.S.).
J LeeDepartment of Electrical and Computer Engineering (Jongho Lee), Seoul National University, Seoul, Korea.
E Y KimRadiology (E.Y.K.), Gachon University Gil Medical Center, Incheon, Korea neuroradkim@gmail.com.ORCID http://orcid.org/0000-0002-9579-4098

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIn the early stages of idiopathic Parkinson disease, motor symptoms are usually asymmetric. We aimed to assess the feasibility of nigrosome 1 detection at 3T MR imaging to analyze the agreement of its asymmetry and clinical laterality. MATERIALS AND

methodsHigh-resolution 3D multiecho imaging was performed at 3T MR imaging in 13 healthy subjects and 24 patients with idiopathic Parkinson disease confirmed by N-3-fluoropropyl-2-β-carbomethoxy-3-β-(4-iodophenyl) nortropane ((18)F-FP-CIT) PET. The nigrosome 1 detection findings by using the MR imaging data were rated as "normal," "possibly abnormal," and "abnormal" by 2 independent reviewers. The degree of (18)F-FP-CIT binding was visually assessed in the caudate nucleus and putamen on PET images. Clinical laterality was evaluated by scores of the Unified Parkinson Disease Rating Scale, Part III. Asymmetry of the affected nigrosome 1 and the degree of (18)F-FP-CIT binding were analyzed for agreement with clinical laterality.

resultsThe diagnostic sensitivity, specificity, and accuracy of the nigrosome 1 detection at 3T MR imaging was 100%, 84.6%, and 94.6%, respectively. Interrater agreements for the abnormality and asymmetry of nigrosome 1 were excellent (κ = 0.863 and 0.835, respectively). In patients with idiopathic Parkinson disease, the agreement of asymmetry between clinical laterality and nigrosome 1 detection was good (κ = 0.724). The degree of the (18)F-FP-CIT PET binding showed fair agreement (κ = 0.235) with clinical laterality.

conclusionsThe abnormality involving nigrosome 1 can be detected at 3T MR imaging with an accuracy of 94.6%. The clinical laterality is in high concordance with the laterality of the nigrosome 1 detection at 3T (κ = 0.724).

Indexed as

AgedDopaminergic NeuronsFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedParkinson DiseaseSensitivity and Specificity

Identifiers

PMID26294646
PMCPMC7964859

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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.