Automated neuromelanin imaging as a diagnostic biomarker for Parkinson's disease.

@article{Castellanos2015AutomatedNI,
  title={Automated neuromelanin imaging as a diagnostic biomarker for Parkinson's disease.},
  author={Gabriel Castellanos and Mar{\'i}a A. Fern{\'a}ndez-Seara and Oswaldo Lorenzo-Betancor and Sara Ortega-Cubero and Marc Puigvert and Javier Uranga and Marta Vidorreta and Jaione Irigoyen and Elena Di Lorenzo and Arrate Mu{\~n}oz-Barrutia and Carlos Ortiz-de-Solorzano and Pau Pastor and Mar{\'i}a A. Pastor},
  journal={Movement disorders : official journal of the Movement Disorder Society},
  year={2015},
  volume={30 7},
  pages={945-52}
}
BACKGROUND We aimed to analyze the diagnostic accuracy of an automated segmentation and quantification method of the SNc and locus coeruleus (LC) volumes based on neuromelanin (NM)-sensitive MRI (NM-MRI) in patients with idiopathic (iPD) and monogenic (iPD) Parkinson's disease (PD). METHODS Thirty-six patients (23 idiopathic and 13 monogenic PARKIN or LRRK2 mutations) and 37 age-matched healthy controls underwent 3T-NM-MRI. SNc and LC volumetry were performed using fully automated multi-image… CONTINUE READING
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