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Quantitative 3D In Silico Modeling q3DISM of Cerebral Amyloid-beta Phagocytosis in Rodent Models of Alzheimer's Disease
Published on: December 26, 2016
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Automated PET-only quantification of amyloid deposition with adaptive template and empirically pre-defined ROI
G Akamatsu1, Y Ikari, A Ohnishi
1Division of Molecular Imaging, Institute of Biomedical Research and Innovation 2-2, Minatojima-Minamimachi, Chuo-ku, Kobe 650-0047, Japan.
Physics in Medicine and Biology
|July 14, 2016
Summary
This study demonstrates a novel PET-only method for quantifying amyloid deposition in Alzheimer's disease (AD). This approach accurately assesses amyloid levels without requiring MRI, simplifying diagnosis and monitoring of AD therapy.
Area of Science:
- Neuroimaging
- Radiochemistry
- Medical Diagnostics
Background:
- Amyloid Positron Emission Tomography (PET) is crucial for Alzheimer's disease (AD) diagnosis and therapy monitoring.
- Standard quantification often relies on MRI for spatial normalization, which is not always available clinically.
- Developing MRI-independent quantification methods is essential for broader clinical application.
Purpose of the Study:
- To assess the feasibility of a PET-only amyloid quantification method.
- To develop an adaptive template and empirically generated region-of-interest (ROI) for quantification without MRI.
- To compare PET-only quantification results with standard MRI-based methods.
Main Methods:
- Utilized (11)C-PiB PET data from 68 subjects.
- Developed an adaptive template and an Empirical PiB-prone ROI (EPP-ROI) using typical positive and negative scans.
- Spatially normalized PET images to a standard MNI atlas and calculated Standardized Uptake Value Ratio (SUVR).
- Compared SUVRs from PET-only and MRI-based methods and evaluated classification accuracy.
Main Results:
- PET-only quantification using EPP-ROI yielded SUVR values nearly identical to MRI-based methods.
- A significant correlation was observed between SUVRs from AAL-ROI and EPP-ROI.
- All (11)C-PiB scans were accurately categorized as positive or negative using a cutoff SUVR of 1.7.
Conclusions:
- The developed PET-only amyloid quantification method is accurate, robust, and simple.
- This approach eliminates the need for MRI, enhancing accessibility for AD diagnosis and research.
- The method provides reliable quantification and classification of amyloid deposition.
