Greater AD prediction accuracy is obtained using hippocampal grading over hippocampal volume

To develop new Alzheimer’s disease (AD) treatments, diagnostic tools must be applied before too much irreversible neurodegeneration occurs. One of the key features used to identify AD neurodegeneration is hippocampal (HC) volume. However, prediction accuracy using HC volume is not high enough to be implemented in clinical and research settings. The goal of this study was to compare prediction accuracy of HC volume and HC grading, a method that measures local morphological similarity of the HC to a library of NC and AD subjects.