Translator Disclaimer
24 March 2016 Quantitative characterization of brain β-amyloid in 718 normal subjects using a joint PiB/FDG PET image histogram
Author Affiliations +
We have previously described an automated system for the co-registration of PiB and FDG PET images with structural MRI and a neurological anatomy atlas to produce region-specific quantization of cortical activity and amyloid burden. We also reported a global joint PiB/FDG histogram-based measure (FDG-Associated PiB Uptake Ratio – FAPUR) that performed as well as regional PiB ratio in stratifying Alzheimer’s disease (AD) and Lewy Body Dementia (LBD) patients from normal subjects in an autopsy-verified cohort of 31. In this paper we examine results of this analysis on a clinically-verified cohort of 718 normal volunteers. We found that the global FDG ratio correlated negatively with age (r2 = 0.044) and global PiB ratio correlated positively with age (r2=0.038). FAPUR also correlated negatively with age (r2-.025), and in addition, we introduce a new metric – the Pearson’s correlation coefficient (r2) of the joint PiB/FDG histogram which correlates positively (r2=0.014) with age. We then used these measurements to construct age-weighted Z-scores for all measurements made on the original autopsy cohort. We found similar stratification using Z-scores compared to raw values; however, the joint PiB/FDG r2 Z-score showed the greatest stratification ability.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jon J. Camp, Dennis P. Hanson, Val J. Lowe M.D., Bradley J. Kemp, Matthew L. Senjem, Melissa E. Murray, Dennis W. Dickson M.D., Joseph E. Parisi M.D., Ronald C. Petersen M.D., Richard A. Robb, and David R. Holmes III "Quantitative characterization of brain β-amyloid in 718 normal subjects using a joint PiB/FDG PET image histogram", Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 97852V (24 March 2016);

Back to Top