Application of data mining technology to diagnostic imaging support of dementia using FDG-PET.

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The purpose of the present work was preliminary construction of diagnosis support system of dementia using FDG-PET image. FDG-PET images of Japanese 23 healthy volunteers and 58 MCI patients were used. 116 ROIs were automatically placed on each FDG image and region to whole brain uptake ratio was used for 2-class clasification. Support Vector Machine and k-index method, the reserch leader original, were used for the classification and area under the curve of ROC analysis was 71.1% and 74.3% respectively. It was seemed to be good results with pictures only consider the low accuracy of clinical diagnosis between MCI and normal. The inverse correlation was observed in FDG uptake in the cerebral cortex and the patient's body weight in the brain FDG-PET images of cancer a number of patients.