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ORIGINAL ARTICLE
Year : 2017  |  Volume : 16  |  Issue : 2  |  Page : 108-113

Metabolic Activity Value in the Posterior Cingulate Cortex Using F-18 Fluorodeoxyglucose Positron Emission Tomography Brain to Predict the Severity of Alzheimer's


1 Department of Nuclear Medicine and Molecular Imaging, Faculty of Medicine, Dr. Hasan Sadikin Hospital, Padjadjaran University, Bandung, Jawa Barat, Indonesia
2 Department of Nuclear Medicine, Mochtar Riady Comprehensive Cancer Centre, Siloam Hospital Semanggi, Jakarta, Indonesia
3 Department of Mental Health, Faculty of Medicine, Dr. Cipto Mangunkusumo Hospital, Universitas Indonesia, , Indonesia, Jakarta

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Jl. Sirap No. 17 Kayu Putih, Pulogadung, Jakarta Timur, Jakarta - 13210
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DOI: 10.4103/1450-1147.203075

PMID: 28553176

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Alzheimer's disease (AD) is a type of dementia which is known as one of a major problem in elderly. Clinicians commonly use mini-mental state examination (MMSE) score to determine the severity of cognitive decline, but MMSE has some limitations such as more subjective, influenced by age, educational degree, and local culture. F-18 fluorodeoxyglucose positron emission tomography (F-18 FDG PET) can be used to assess the process of glucose metabolism in posterior cingulate cortex (PCC) area which endures a central role in supporting cognitive function directly. The purpose of this study is to observe a correlation between metabolic activity value of PCC and MMSE score in predicting the severity of AD. A cross-sectional study was done to 30 subjects suspect AD disease with aged 60 years and older. Characteristic data including gender, age, and education, MMSE scoring by psychiatrist, and imaging of F-18 FDG PET were established. The results of correlation test between the value of FDG metabolic activity and MMSE score shows that the value of metabolic activity in the PCC area tends to increase along with the increase of MMSE score (rs = 0.411, P = 0.024). While from the results of multiple regression test with predictor variable consisting of F-18 FDG metabolic activity in the PCC, gender, age, education level, and the interaction between the metabolic activity of F-18 FDG at PCC and gender, a regression model was obtained. There is a significant correlation observed between the captured of F-18 FDG radioactivity with MMSE score in PCC area which can be used as a tool to predict the severity of AD.


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