Classification of amyloid-positivity in controls: Comparison of visual read and quantitative approaches

Ann D. Cohen, Wenzhu Mowrey, Lisa A. Weissfeld, Howard J. Aizenstein, Eric McDade, James M. Mountz, Robert D. Nebes, Judith A. Saxton, Beth Snitz, Steven DeKosky, Jeff Williamson, Oscar L. Lopez (+3 others)
2013 NeuroImage  
An important research application of amyloid imaging with positron emission tomography (PET) is detection of the earliest evidence of fibrillar amyloid-beta (Aβ) deposition. Use of amyloid PET for this purpose, requires a reproducible method for defining a cutoff that separates individuals with no significant Aβ deposition from those in which Aβ deposition has begun. We previously reported the iterative outlier approach (IO) for the analysis of Pittsburgh Compound-B (PiB) PET data. Developments
more » ... in amyloid imaging since the initial report of IO have led us to re-examine the generalizability of this method. IO was developed using full-dynamic atrophy-corrected PiB PET data obtained from a group of control subjects with a fairly distinct separation between PiB-positive [PiB(+)] and PiB-negative [PiB(-)] subjects.
doi:10.1016/j.neuroimage.2013.01.015 pmid:23353602 pmcid:PMC3605888 fatcat:d5pnduryyzfyjmt2sxoqskdtvm