A standardized [18F]-FDG-PET template for spatial normalization in statistical parametric mapping of dementia

Area of Science:

• Neuroimaging
• Nuclear Medicine
• Biostatistics

Background:

• [18F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is crucial for assessing cerebral glucose metabolism and detecting brain abnormalities.
• Current spatial normalization methods for [18F]-FDG PET scans use templates that do not match metabolic or morphological features of neurodegenerative diseases.
• This mismatch can compromise the accuracy of voxel-based analysis like Statistical Parametric Mapping (SPM).

Purpose of the Study:

• To develop and validate a novel [18F]-FDG PET template tailored for aging and dementia.
• To improve the accuracy of spatial normalization in neurodegenerative disease research and diagnostics.
• To evaluate the impact of a new template on statistical sensitivity and registration accuracy for various dementia subtypes.

Main Methods:

• Creation of a new [18F]-FDG PET template using images from age-matched controls and patients with dementia.
• Comparison of spatial normalization accuracy and statistical sensitivity using the standard template versus the new dementia-specific template.
• Assessment of normalization performance at single-subject and group levels for Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), Frontotemporal Lobar Degeneration (FTLD), and Dementia with Lewy Bodies (DLB).

Main Results:

• The population-specific [18F]-FDG template significantly improved statistical normalization in key brain regions across all investigated dementia subtypes.
• Normalization using the new template demonstrated enhanced statistical sensitivity and registration accuracy compared to the standard template.
• These improvements were observed for both single-subject and group analyses, indicating a more precise localization of metabolic abnormalities.

Conclusions:

• The developed [18F]-FDG PET aging and dementia-specific template enhances spatial normalization accuracy for neuroimaging studies.
• This improved normalization leads to more precise detection and quantification of cerebral metabolic changes in various dementia types.
• The new template offers a more effective diagnostic measure for research and clinical applications in neurodegenerative diseases.