Literature DB >> 29341412

Three-dimensional neuromelanin-sensitive magnetic resonance imaging of the substantia nigra in Parkinson's disease.

S Prasad1,2, A Stezin1,2, A Lenka1,2, L George2, J Saini3, R Yadav2, P K Pal2.   

Abstract

BACKGROUND AND
PURPOSE: The aim was to investigate the diagnostic utility of signal intensity measurement of the substantia nigra pars compacta (SNc) using three-dimensional (3D) neuromelanin-sensitive magnetic resonance imaging (MRI), for discrimination of patients with Parkinson's disease (PD) from healthy controls.
METHODS: T1-weighted neuromelanin-sensitive images of 16 patients with PD and 15 controls were quantitatively analyzed by placing circular 10 mm2 regions of interest over the central and lateral parts of the bilateral SNc and anterior to the cerebral aqueduct at three levels of the midbrain. Signal intensities and contrast ratios (CRs) were calculated, after which significant differences, correlations, sensitivity and specificity were calculated.
RESULTS: The CRs of the central and lateral SNc were significantly lower in patients with PD. Lateral CRs were lower than the central CRs in both groups and significantly correlated with duration of illness. CRs of central and lateral parts of the SNc also correlated with the Unified Parkinson's Disease Rating Scale III OFF state scores. Receiver operating characteristic analysis revealed lateral CRs to be more sensitive and central CRs to be more specific for the discrimination of patients with PD from controls.
CONCLUSIONS: Contrast ratio analysis of the SNc using 3D neuromelanin-sensitive MRI may serve as a quick and accurate tool to discern between patients with PD and healthy controls.
© 2018 EAN.

Entities:  

Keywords:  Parkinson's disease; contrast ratio; neuromelanin; signal intensity; substantia nigra

Mesh:

Substances:

Year:  2018        PMID: 29341412     DOI: 10.1111/ene.13573

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  14 in total

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10.  Semi-Automatic Signature-Based Segmentation Method for Quantification of Neuromelanin in Substantia Nigra.

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