Distinct subtypes of spatial brain metabolism patterns in Alzheimer ’s disease identified by deep learning-based FDG PET clusters

ConclusionWe identified distinct subtypes of AD with different clinicopathologic features. The deep learning-based approach to distinguish AD subtypes on FDG PET could have implications for predicting individual outcomes and provide a clue to understanding the heterogeneous pathophysiology of AD.
Source: European Journal of Nuclear Medicine and Molecular Imaging - Category: Nuclear Medicine Source Type: research