Literature DB >> 29954816

Comparative Study of MRI Biomarkers in the Substantia Nigra to Discriminate Idiopathic Parkinson Disease.

N Pyatigorskaya1,2,3, B Magnin4,2,3, M Mongin4,2, L Yahia-Cherif4,2, R Valabregue4, D Arnaldi4,5,6, C Ewenczyk7, C Poupon8, M Vidailhet4,2,7,6, S Lehéricy4,2,3.   

Abstract

BACKGROUND AND
PURPOSE: Several new MR imaging techniques have shown promising results in patients with Parkinson disease; however, the comparative diagnostic values of these measures at the individual level remain unclear. Our aim was to compare the diagnostic value of MR imaging biomarkers of substantia nigra damage for distinguishing patients with Parkinson disease from healthy volunteers.
MATERIALS AND METHODS: Thirty-six patients and 20 healthy volunteers were prospectively included. The MR imaging protocol at 3T included 3D T2-weighted and T1-weighted neuromelanin-sensitive images, diffusion tensor images, and R2* mapping. T2* high-resolution images were also acquired at 7T to evaluate the dorsal nigral hyperintensity sign. Quantitative analysis was performed using ROIs in the substantia nigra drawn manually around the area of high signal intensity on neuromelanin-sensitive images and T2-weighted images. Visual analysis of the substantia nigra neuromelanin-sensitive signal intensity and the dorsolateral nigral hyperintensity on T2* images was performed.
RESULTS: There was a significant decrease in the neuromelanin-sensitive volume and signal intensity in patients with Parkinson disease. There was also a significant decrease in fractional anisotropy and an increase in mean, axial, and radial diffusivity in the neuromelanin-sensitive substantia nigra at 3T and a decrease in substantia nigra volume on T2* images. The combination of substantia nigra volume, signal intensity, and fractional anisotropy in the neuromelanin-sensitive substantia nigra allowed excellent diagnostic accuracy (0.93). Visual assessment of both substantia nigra dorsolateral hyperintensity and neuromelanin-sensitive images had good diagnostic accuracy (0.91 and 0.86, respectively).
CONCLUSIONS: The combination of neuromelanin signal and volume changes with fractional anisotropy measurements in the substantia nigra showed excellent diagnostic accuracy. Moreover, the high diagnostic accuracy of visual assessment of substantia nigra changes using dorsolateral hyperintensity analysis or neuromelanin-sensitive signal changes indicates that these techniques are promising for clinical practice.
© 2018 by American Journal of Neuroradiology.

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Year:  2018        PMID: 29954816     DOI: 10.3174/ajnr.A5702

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  15 in total

1.  Diagnostic performance of neuromelanin-sensitive magnetic resonance imaging for patients with Parkinson's disease and factor analysis for its heterogeneity: a systematic review and meta-analysis.

Authors:  Se Jin Cho; Yun Jung Bae; Jong-Min Kim; Donghyun Kim; Sung Hyun Baik; Leonard Sunwoo; Byung Se Choi; Jae Hyoung Kim
Journal:  Eur Radiol       Date:  2020-09-04       Impact factor: 5.315

2.  Iron-sensitive magnetic resonance imaging in Parkinson's disease: a systematic review and meta-analysis.

Authors:  Se Jin Cho; Yun Jung Bae; Jong-Min Kim; Hyun Jin Kim; Sung Hyun Baik; Leonard Sunwoo; Byung Se Choi; Cheolkyu Jung; Jae Hyoung Kim
Journal:  J Neurol       Date:  2021-04-29       Impact factor: 4.849

Review 3.  Structural Imaging in Parkinson's Disease: New Developments.

Authors:  Stéphane Prange; Elise Metereau; Stéphane Thobois
Journal:  Curr Neurol Neurosci Rep       Date:  2019-06-18       Impact factor: 5.081

4.  Morphological analysis of subcortical structures for assessment of cognitive dysfunction in Parkinson's disease using multi-atlas based segmentation.

Authors:  S Sivaranjini; C M Sujatha
Journal:  Cogn Neurodyn       Date:  2021-03-14       Impact factor: 3.473

5.  Early-stage Parkinson's disease: Abnormal nigrosome 1 and 2 revealed by a voxelwise analysis of neuromelanin-sensitive MRI.

Authors:  Young Hee Sung; Young Noh; Eung Yeop Kim
Journal:  Hum Brain Mapp       Date:  2021-03-10       Impact factor: 5.038

Review 6.  Toxic Feedback Loop Involving Iron, Reactive Oxygen Species, α-Synuclein and Neuromelanin in Parkinson's Disease and Intervention with Turmeric.

Authors:  Zuné Jansen van Rensburg; Shameemah Abrahams; Soraya Bardien; Colin Kenyon
Journal:  Mol Neurobiol       Date:  2021-08-23       Impact factor: 5.590

7.  Combined Visualization of Nigrosome-1 and Neuromelanin in the Substantia Nigra Using 3T MRI for the Differential Diagnosis of Essential Tremor and de novo Parkinson's Disease.

Authors:  Lirong Jin; Jian Wang; Changpeng Wang; Danlan Lian; Ying Zhou; Yong Zhang; Minzhi Lv; Yuanfang Li; Zhen Huang; Xiaoqin Cheng; Guoqiang Fei; Kai Liu; Mengsu Zeng; Chunjiu Zhong
Journal:  Front Neurol       Date:  2019-02-12       Impact factor: 4.003

Review 8.  The Future of Brain Imaging in Parkinson's Disease.

Authors:  Rick C Helmich; David E Vaillancourt; David J Brooks
Journal:  J Parkinsons Dis       Date:  2018       Impact factor: 5.568

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

Authors:  Gašper Zupan; Dušan Šuput; Zvezdan Pirtošek; Andrej Vovk
Journal:  Brain Sci       Date:  2019-11-22

10.  A distinct neuromelanin magnetic resonance imaging pattern in parkinsonian multiple system atrophy.

Authors:  Rita Moiron Simões; Ana Castro Caldas; Joana Grilo; Daisy Correia; Carla Guerreiro; Patrícia Pita Lobo; Anabela Valadas; Marguerita Fabbri; Leonor Correia Guedes; Miguel Coelho; Mario Miguel Rosa; Joaquim J Ferreira; Sofia Reimão
Journal:  BMC Neurol       Date:  2020-11-27       Impact factor: 2.474

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