Improved Accuracy of Amyloid PET Quantification with Adaptive Template-Based Anatomic Standardization.

Area of Science:

• Neuroimaging
• Nuclear Medicine
• Alzheimer's Disease Research

Background:

• Amyloid PET imaging visualizes amyloid-β deposition in the brain.
• Visual binary reading is standard, but quantitative evaluation is crucial for research and clinical trials.
• Anatomic standardization is essential for accurate quantitative analysis in amyloid PET.

Purpose of the Study:

• To compare the diagnostic accuracy of adaptive-template versus single-template methods for amyloid PET quantitative evaluation.
• To investigate the effectiveness of different anatomic standardization techniques in diagnosing Alzheimer's disease (AD).
• To address challenges in radioactivity distribution differences between amyloid-positive and negative individuals.

Main Methods:

• 166 participants (58 healthy controls, 62 MCI, 46 AD) underwent 11C-Pittsburgh compound B (11C-PiB) PET.
• Three anatomic standardization methods were applied: positive-template, negative-template, and adaptive-template.
• Quantitative evaluation used mean cortical SUV ratio (mcSUVR) in specific brain regions, with the cerebellar cortex as reference.

Main Results:

• The adaptive-template method showed no significant difference in normalized cross-correlation (NCC) across groups, unlike single-template methods.
• All methods demonstrated significant differences in mcSUVR among HC, MCI, and AD groups.
• Diagnostic accuracy showed superior sensitivity for negative-template and adaptive-template methods compared to the positive-template method.

Conclusions:

• The adaptive-template-based anatomic standardization method offers superior diagnostic accuracy for Alzheimer's disease.
• This method improves quantitative evaluation in amyloid PET compared to traditional single-template approaches.
• Adaptive standardization is recommended for more reliable Alzheimer's disease diagnosis using amyloid PET.