FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

study, we found the cutoff point for amyloid PET (PIB) and fluorodeoxyglucose (FDG) PET is an SUVR of 1.1 (SD 0.17, 95% CI [0.9, 1.5]) and 1.7 (SD 0.1, 95% CI [1.6, 2.0]) respectively. Similar analysis will be conducted for other biomarkers. Conclusions:The method provides a straightforward statistical approach to determine the biomarker cutoff points independent of participants’ disease status and amyloid status. It can be applied to any biomarkers in both sporadic AD and DIAD, and can easily account for covariates.