Objectives. 18F-FDG PET scan is one of the most frequently used neural imaging scans. However, the influence of age has proven\nto be the greatest interfering factor for many clinical dementia diagnoses when analyzing 18F-FDG PET images, since radiologists\nencounter difficulties when deciding whether the abnormalities in specific regions correlate with normal aging, disease, or both. In\nthe present paper, the authors aimed to define specific brain regions and determine an age-correction mathematicalmodel. Methods.\nA data-driven approach was used based on 255 healthy subjects. Results. The inferior frontal gyrus, the left medial part and the left\nmedial orbital part of superior frontal gyrus, the right insula, the left anterior cingulate, the left median cingulate, and paracingulate\ngyri, and bilateral superior temporal gyriwere found to have a strong negative correlation with age. For evaluation, an age-correction\nmodel was applied to 262 healthy subjects and 50 AD subjects selected from the ADNI database, and partial correlations between\nSUVR mean and three clinical results were carried out before and after age correction. Conclusion. All correlation coefficients were\nsignificantly improved after the age correction. The proposed model was effective in the age correction of both healthy and AD\nsubjects.
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