European Journal of Nuclear Medicine and Molecular Imaging

, Volume 34, Issue 4, pp 496–501

Quantification of Parkinson’s disease-related network expression with ECD SPECT

  • Thomas Eckert
  • Koen Van Laere
  • Chengke Tang
  • Daniel E. Lewis
  • Christine Edwards
  • Patrick Santens
  • David Eidelberg
Original article

DOI: 10.1007/s00259-006-0261-9

Cite this article as:
Eckert, T., Van Laere, K., Tang, C. et al. Eur J Nucl Med Mol Imaging (2007) 34: 496. doi:10.1007/s00259-006-0261-9

Abstract

Purpose

Spatial covariance analysis has been used with FDG PET to identify a specific metabolic network associated with Parkinson’s disease (PD). In the current study, we utilized a new, fully automated voxel-based method to quantify network expression in ECD SPECT images from patients with classical PD, patients with multiple system atrophy (MSA), and healthy control subjects.

Methods

We applied a previously validated voxel-based PD-related covariance pattern (PDRP) to quantify network expression in the ECD SPECT scans of 35 PD patients, 15 age- and disease severity-matched MSA patients, and 35 age-matched healthy control subjects. PDRP scores were compared across groups using analysis of variance. The sensitivity and specificity of the prospectively computed PDRP scores in the differential diagnosis of individual subjects were assessed by receiver operating characteristic (ROC) analysis.

Results

PDRP scores were significantly increased (p < 0.001) in the PD group relative to the MSA and control groups. ROC analysis indicated that the overall diagnostic accuracy of the PDRP measures was 0.91 (AUC). The optimal cutoff value was consistent with a sensitivity of 0.97 and a specificity of 0.80 and 0.71 for discriminating PD patients from MSA and normal controls, respectively.

Conclusion

Our findings suggest that fully automated voxel-based network assessment techniques can be used to quantify network expression in the ECD SPECT scans of parkinsonian patients.

Keywords

ImagingBrain SPECTPerfusionParkinson’s diseaseMultiple system atrophy

Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  • Thomas Eckert
    • 1
    • 2
  • Koen Van Laere
    • 3
  • Chengke Tang
    • 1
  • Daniel E. Lewis
    • 1
  • Christine Edwards
    • 1
  • Patrick Santens
    • 4
  • David Eidelberg
    • 1
    • 5
  1. 1.Center for NeurosciencesThe Feinstein Institute for Medical ResearchManhassetUSA
  2. 2.Department of Neurology IIUniversity of MagdeburgMagdeburgGermany
  3. 3.Division of Nuclear MedicineLeuven University HospitalLeuvenBelgium
  4. 4.Department of NeurologyGhent University HospitalGhentBelgium
  5. 5.Department of NeurologyNorth Shore University Hospital and New York University School of MedicineNew YorkUSA