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RT Journal Article
SR Electronic
T1 Temporoparietal MR Imaging Measures of Atrophy in Subjects with Mild Cognitive Impairment That Predict Subsequent Diagnosis of Alzheimer Disease
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
SP 532
OP 538
DO 10.3174/ajnr.A1397
VO 30
IS 3
A1 Desikan, R.S.
A1 Cabral, H.J.
A1 Fischl, B.
A1 Guttmann, C.R.G.
A1 Blacker, D.
A1 Hyman, B.T.
A1 Albert, M.S.
A1 Killiany, R.J.
YR 2009
UL http://www.ajnr.org/content/30/3/532.abstract
AB BACKGROUND AND PURPOSE: Mild cognitive impairment (MCI) represents a transitional state between normal aging and Alzheimer disease (AD). Our goal was to determine if specific temporoparietal regions can predict the time to progress from MCI to AD.MATERIALS AND METHODS: MR images from 129 individuals with MCI were analyzed to identify the volume of 14 neocortical and 2 non-neocortical brain regions, comprising the temporal and parietal lobes. In addition, 3 neuropsychological test scores were included to determine whether they would provide independent information. After a mean follow-up time of 5 years, 44 of these individuals had progressed to a diagnosis of AD.RESULTS: Cox proportional hazards models demonstrated significant effects for 6 MR imaging regions with the greatest differences being the following: the entorhinal cortex (hazard ratio [HR] = 0.54, P &lt; .001), inferior parietal lobule (hazard ratio [HR] = 0.64, P &lt; .005), and middle temporal gyrus (HR = 0.64, P &lt; .004), indicating decreased risk with larger volumes. A multivariable model showed that a combination of the entorhinal cortex (HR = 0.60, P &lt; .001) and the inferior parietal lobule (HR = 0.62, P &lt; .01) was the best predictor of time to progress to AD. A multivariable model reiterated the importance of including both MR imaging and neuropsychological variables in the final model.CONCLUSIONS: These findings reaffirm the importance of the entorhinal cortex and present evidence for the importance of the inferior parietal lobule as a predictor of time to progress from MCI to AD. The inclusion of neuropsychological performance in the final model continues to highlight the importance of using these measures in a complementary fashion.