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Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451
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Combining multiple anatomical MRI measures improves Alzheimer's disease classification.
Frank de Vos1,2,3, Tijn M Schouten1,2,3, Anne Hafkemeijer1,2,3
1Leiden University, Institute of Psychology, The Netherlands.
Human Brain Mapping
|February 27, 2016
Summary
Combining multiple anatomical MRI measures significantly improves Alzheimer's disease (AD) diagnosis. This approach enhances diagnostic accuracy by integrating various brain structure indicators for better patient classification.
Area of Science:
- Neuroimaging
- Neurology
- Medical Diagnostics
Background:
- Alzheimer's disease (AD) diagnosis relies on various neuroimaging markers.
- Current methods often analyze anatomical MRI measures like hippocampal volume and cortical thickness independently.
- The combined diagnostic potential of multiple MRI markers for AD remains underexplored.
Purpose of the Study:
- To investigate if combining multiple anatomical MRI measures improves diagnostic classification of Alzheimer's disease (AD).
- To assess the diagnostic performance of individual and combined MRI markers in differentiating AD patients from healthy controls.
Main Methods:
- Utilized data from 21 AD patients and 21 healthy controls.
- Calculated six anatomical MRI measures: cortical thickness, area, curvature, grey matter density, subcortical volumes, and hippocampal shape.
- Employed elastic net logistic regression, combining measures for classification and analyzing receiver operating curves (ROC) with area under the curve (AUC).
Main Results:
- Individual MRI measures showed varying diagnostic performance, with grey matter density achieving an AUC of 0.94.
- Combining all six anatomical MRI measures resulted in a significantly higher AUC of 0.98.
- The complementary information from different MRI measures enhanced classification accuracy.
Conclusions:
- Individual anatomical MRI measures provide valuable but limited diagnostic information for AD.
- Combining multiple anatomical MRI measures offers a more comprehensive and accurate approach to AD diagnosis.
- This integrated MRI approach holds promise for improving diagnostic accuracy in clinical settings.
