Utility of Molecular and Structural Brain Imaging to Predict Progression from Mild Cognitive Impairment to Dementia

Autor: Francesca Zanderigo, Devangere P. Devanand, J. John Mann, R. Todd Ogden, Gnanavalli Pradhaban, Harry Rubin-Falcone, Martin J. Lan, Yaakov Stern, Gregory H. Pelton, Dileep Kumar, Jeffrey M. Miller, Ramin V. Parsey
Rok vydání: 2017
Předmět:
Male
Kaplan-Meier Estimate
chemistry.chemical_compound
0302 clinical medicine
Medicine
030212 general & internal medicine
Aged
80 and over
Aniline Compounds
medicine.diagnostic_test
General Neuroscience
Brain
General Medicine
Organ Size
Middle Aged
Prognosis
Magnetic Resonance Imaging
Psychiatry and Mental health
Clinical Psychology
Positron emission tomography
Disease Progression
Female
medicine.drug
Article
03 medical and health sciences
Apolipoproteins E
Neuroimaging
Fluorodeoxyglucose F18
mental disorders
Dementia
Humans
Cognitive Dysfunction
Benzothiazoles
Aged
Proportional Hazards Models
Fluorodeoxyglucose
business.industry
Proportional hazards model
Binding potential
Magnetic resonance imaging
medicine.disease
Thiazoles
chemistry
Positron-Emission Tomography
Geriatrics and Gerontology
Radiopharmaceuticals
business
Pittsburgh compound B
Nuclear medicine
030217 neurology & neurosurgery
Zdroj: Journal of Alzheimer's disease : JAD. 60(3)
ISSN: 1875-8908
Popis: This project compares three neuroimaging biomarkers to predict progression to dementia in subjects with mild cognitive impairment (MCI). Eighty-eight subjects with MCI and 40 healthy controls (HCs) were recruited. Subjects had a 3T magnetic resonance imaging (MRI) scan, and two positron emission tomography (PET) scans, one with Pittsburgh compound B ([11C]PIB) and one with fluorodeoxyglucose ([18F]FDG). MCI subjects were followed for up to 4 years and progression to dementia was assessed on an annual basis. MCI subjects had higher [11C]PIB binding potential (BPND) than HCs in multiple brain regions, and lower hippocampus volumes. [11C]PIB BPND, [18F]FDG standard uptake value ratio (SUVR) and hippocampus volume were associated with time to progression to dementia using a Cox proportional hazards model. [18F]FDG SUVR demonstrated the most statistically significant association with progression, followed by [11C]PIB BPND and then hippocampus volume. [11C]PIB BPND and [18F]FDG SUVR were independently predictive, suggesting that combining these measures is useful to increase accuracy in the prediction of progression to dementia. Hippocampus volume also had independent predictive properties to [11C]PIB BPND, but did not add predictive power when combined with the [18F]FDG SUVR data. This work suggests that PET imaging with both [11C]PIB and [18F]FDG may help to determine which MCI subjects are likely to progress to AD, possibly directing future treatment options.
Databáze: OpenAIRE
Externí odkaz: