Volumetric MRI vs clinical predictors of Alzheimer disease in mild cognitive impairment
A S Fleisher1, S Sun, C Taylor
1Department of Neurosciences, University of California, San Diego, CA, USA. afleisher@ucsd.edu
Objective:
To compare volumetric MRI of whole brain and medial temporal lobe structures to clinical measures for predicting progression from amnestic mild cognitive impairment (MCI) to Alzheimer disease (AD).
Methods:
Baseline MRI scans from 129 subjects with amnestic MCI were obtained from participants in the Alzheimer's Disease Cooperative Study group's randomized, placebo-controlled clinical drug trial of donepezil, vitamin E, or placebo. Measures of whole brain, ventricular, hippocampal, and entorhinal cortex volumes were acquired. Participants were followed with clinical and cognitive evaluations until formal criteria for AD were met, or completion of 36 months of follow-up. Logistic regression modeling was done to assess the predictive value of all MRI measures, risk factors such as APOE genotype, age, family history of AD, education, sex, and cognitive test scores for progression to AD. Least angle regression modeling was used to determine which variables would produce an optimal predictive model, and whether adding MRI measures to a model with only clinical measures would improve predictive accuracy.
Results:
Of the four MRI measures evaluated, only ventricular volumes and hippocampal volumes were predictive of progression to AD. Maximal predictive accuracy using only MRI measures was obtained by hippocampal volumes by themselves (60.4%). When clinical variables were added to the model, the predictive accuracy increased to 78.8%. Use of MRI measures did not improve predictive accuracy beyond that obtained by cognitive measures alone. APOE status, MRI, or demographic variables were not necessary for the optimal predictive model. This optimal model included the Delayed 10-word list recall, New York University Delayed Paragraph Recall, and the Alzheimer's Disease Assessment Scale-Cognitive Subscale total score.
Conclusion:
In moderate stages of amnestic mild cognitive impairment, common cognitive tests provide better predictive accuracy than measures of whole brain, ventricular, entorhinal cortex, or hippocampal volumes for assessing progression to Alzheimer disease.
Insights
Cognitive tests, not MRI scans, better predict Alzheimer's progression in mild cognitive impairment. Standard cognitive assessments offer higher accuracy than brain imaging for forecasting disease advancement.
Area of Science:
- Neuroimaging
- Neurology
- Clinical Diagnostics
Background:
- Alzheimer's disease (AD) poses a significant public health challenge.
- Mild cognitive impairment (MCI) is a prodromal stage of AD.
- Accurate prediction of MCI to AD progression is crucial for timely intervention.
Purpose of the Study:
- To compare volumetric magnetic resonance imaging (MRI) of brain structures with clinical measures for predicting progression from amnestic MCI to AD.
- To determine the optimal predictive model for MCI to AD conversion.
Main Methods:
- 129 subjects with amnestic MCI underwent baseline MRI scans.
- Volumetric MRI measures included whole brain, ventricular, hippocampal, and entorhinal cortex.
- Logistic regression and least angle regression modeling assessed predictive values of MRI, clinical, and demographic variables.
Main Results:
- Ventricular and hippocampal volumes were predictive of MCI to AD progression.
- Hippocampal volumes alone achieved 60.4% predictive accuracy.
- Adding clinical variables improved predictive accuracy to 78.8%, surpassing MRI measures alone.
- The optimal predictive model included specific cognitive test scores.
Conclusions:
- Standard cognitive tests are more accurate than volumetric MRI measures in predicting progression from amnestic MCI to AD.
- Clinical and cognitive assessments are sufficient for predicting AD conversion in moderate MCI stages.
Related Concept Videos
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...
Alzheimer Disease l: Introduction
Alzheimer Disease ll: Pathophysiology
Dementia l: Introduction
Alzheimer's Disease: Treatment


