Automated Neuromelanin Imaging as a Diagnostic Biomarker for Parkinson's Disease Articles uri icon

authors

  • CASTELLANOS, GABRIEL
  • FERNÁNDEZ-SEARA, MARÍA A.
  • LORENZO-BETANCOR, OSWALDO
  • ORTEGA-CUBERO, SARA
  • PUIGVERT, MARC
  • URANGA, JAVIER
  • VIDORRETA, MARTA
  • Irigoyen, Jaione
  • LORENZO, ELENA
  • MUÑOZ BARRUTIA, MARIA ARRATE
  • ORTIZ DE SOLÓRZANO, CARLOS
  • PASTOR, PAU
  • PASTOR, MARÍA A.

publication date

  • June 2015

start page

  • 945

end page

  • 952

issue

  • 7

volume

  • 30

International Standard Serial Number (ISSN)

  • 0885-3185

Electronic International Standard Serial Number (EISSN)

  • 1531-8257

abstract

  • Abstract: Background: We aimed to analyze thediagnostic accuracy of an automated segmentation andquantification method of the SNc and locus coeruleus(LC) volumes based on neuromelanin (NM)-sensitiveMRI (NM-MRI) in patients with idiopathic (iPD) andmonogenic (iPD) Parkinson's disease (PD).Methods: Thirty-six patients (23 idiopathic and 13 mon-ogenicPARKINorLRRK2mutations) and 37 age-matched healthy controls underwent 3T-NM-MRI. SNcand LC volumetry were performed using fully auto-mated multi-image atlas segmentation. The diagnosticperformance to differentiate PD from controls wasmeasured using the area under the curve (AUC) andlikelihood ratios based on receiver operating character-istic (ROC) analyses.Results:We found a significant reduction of SNc andLC volumes in patients, when compared to controls.ROC analysis showed better diagnostic accuracy whenusing SNc volume than LC volume. Significant differences between ipsilateral and contralateral SNc volumes,in relation to the more clinically affected side, werefound in patients with iPD (P50.007). Contralateralatrophy in the SNc showed the highest power to dis-criminate PD subjects from controls (AUC, 0.93-0.94;sensitivity, 91%-92%; specificity, 89%; positive likeli-hood ratio: 8.4-8.5; negative likelihood ratio: 0.09-0.1 ata single cut-off point). Interval likelihood ratios for con-tralateral SNc volume improved the diagnostic accuracyof volumetric measurements.

subjects

  • Biology and Biomedicine
  • Medicine

keywords

  • parkinson's; substantia nigra; neuromelanin; magnetic resonance biological marker; melanin; adult; aged; article; brain atrophy; brain size; clinical article; controlled study; diagnostic accuracy; diagnostic test accuracy study; diagnostic value; disease duration; female; gene mutation; heterozygote; homozygote; human; locus ceruleus; male; mini mental state examination; neuroimaging; nuclear magnetic resonance imaging; nuclear magnetic resonance scanner; onset age; parkinson disease; priority journal; sex ratio; unified parkinson disease rating scale; volumetry; middle aged; parkinson disease; pathology; procedures; sensitivity and specificity; standards; substantia nigra; aged; biomarkers; female; humans; locus coeruleus; magnetic resonance imaging; male; melanins; middle aged; parkinson disease; sensitivity and specificity