Voxel-level comparison of arterial spin-labeled perfusion MRI and FDG-PET in Alzheimer disease.
We compared the ability of arterial spin labeling (ASL), an MRI method that measures cerebral blood flow (CBF), to that of FDG-PET in distinguishing patients with Alzheimer disease (AD) from healthy, age-matched controls.
Fifteen patients with AD (mean age 72 ± 6 years, Mini-Mental State Examination score [MMSE] 20 ± 6) and 19 age-matched controls (mean age 68 ± 6 years, MMSE 29 ± 1) underwent structural MRI. Participants were injected with 5 mCi of FDG during pseudocontinuous ASL scan, which was followed by PET scanning. Statistical parametric mapping and regions of interest (ROI) analysis were used to compare the ability of the 2 modalities in distinguishing patients from controls. Similarity between the 2 modalities was further assessed with linear correlation maps of CBF and metabolism to neuropsychological test scores.
Good agreement between hypoperfusion and hypometabolism patterns was observed, with overlap primarily in bilateral angular gyri and posterior cingulate. ROI results showed similar scales of functional deficit between patients and controls in both modalities. Both ASL and FDG-PET were able to distinguish neural networks associated with different neuropsychological tests with good overlap between modalities.
Our voxel-wise results indicated that ASL-MRI provides largely overlapping information with FDG-PET. ROI analysis demonstrated that both modalities detected similar degrees of functional deficits in affected areas. Given its ease of acquisition and noninvasiveness, ASL-MRI may be an appealing alternative for AD studies.
Department of Neurology, University of Pennsylvania, 3W Gates Pavilion, 3400 Spruce St., Philadelphia, PA 19104, USA.
SourceNeurology 77:22 2011 Nov 29 pg 1977-85
Image Processing, Computer-Assisted
Magnetic Resonance Angiography
Predictive Value of Tests
Sensitivity and Specificity
Pub Type(s)Comparative Study
Controlled Clinical Trial
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't