Title | Utility of Molecular and Structural Brain Imaging to Predict Progression from Mild Cognitive Impairment to Dementia. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Lan, MJ, R Ogden, T, Kumar, D, Stern, Y, Parsey, RV, Pelton, GH, Rubin-Falcone, H, Pradhaban, G, Zanderigo, F, Miller, JM, J Mann, J, Devanand, DP |
Journal | J Alzheimers Dis |
Volume | 60 |
Issue | 3 |
Pagination | 939-947 |
Date Published | 2017 |
ISSN | 1875-8908 |
Abstract | 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 y 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. |
DOI | 10.3233/JAD-161284 |
Alternate Journal | J. Alzheimers Dis. |
PubMed ID | 28984586 |
PubMed Central ID | PMC5679746 |
Grant List | K23 MH105688 / MH / NIMH NIH HHS / United States R01 AG017761 / AG / NIA NIH HHS / United States R01 AG041795 / AG / NIA NIH HHS / United States |