Abstract
We recently developed an original computer aided diagnosis for dementia method that calculates the similarity of the brain disease as an objective index value and evaluated its performance in detection of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). On the other hand, we selected about 6000 normal subjects carefully from the whole-body FDG-PET images of about 20000 examples, and made rigorous normal brain database. These two techniques were introduced into the system of Hamamatsu Medical Imaging Center and experimentally performed on a clinical setting. In comparison with the diagnosis of three doctors for 735 subjects in 2 years, the detection power of the CAD system for dementia were sensitivity 75.6%, specificity 78.1% and accuracy 77.8%, respectively. These results were consistent with our previous reports for MCI. It can be said that our method is useful as a supporting tool of diagnosis for dementia in the case of a large-scale brain medical checkup targeting normal subjects.
