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Software development for quantitative analysis of brain amyloid PET.

Hiroshi Matsuda1,2,3, Tensho Yamao2,4

  • 1Department of Biofunctional Imaging, Fukushima Medical University, Fukushima City, Fukushima, Japan.

Brain and Behavior
|February 8, 2022
PubMed
Summary

New software accurately calculates the Centiloid (CL) scale for five amyloid PET tracers, enabling direct comparison of Alzheimer's disease amyloid PET imaging results across studies.

Keywords:
Centiloid scalePETamyloidbrainquantification

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Area of Science:

  • Neuroimaging
  • Radiochemistry
  • Biostatistics

Background:

  • Centiloid (CL) scaling is a standardized quantitative measure for amyloid PET imaging.
  • It facilitates direct comparison of results across different sites and analytical methods.
  • Accurate CL scaling is crucial for multicenter Alzheimer's disease research.

Purpose of the Study:

  • To develop user-friendly standalone software for accurate Centiloid (CL) scale calculation.
  • To process data from five amyloid PET tracers: 11C-PiB, 18F-florbetapir, 18F-flutemetamol, 18F-florbetaben, and 18F-NAV4694.
  • To create software for Z-score mapping to statistically compare patient PET data with a control database.

Main Methods:

  • Developed a software pipeline for PET/MRI reorientation, coregistration, and anatomic standardization.
  • Applied standard volumes of interest (VOIs) and calculated standardized uptake value ratios (SUVRs).
  • Converted SUVRs to the CL scale and generated Z-scores using data from the GAAIN repository.

Main Results:

  • Excellent correlation between software-calculated CL scale and published values when using cerebellum or cerebellum plus brainstem as reference.
  • No significant differences in detecting amyloid accumulation between 18F tracers and 11C-PiB using Z-score mapping.
  • Identified specific cutoff CL values for regional amyloid positivity detection in various brain regions.

Conclusions:

  • The developed software reliably calculates the global CL scale for multiple amyloid PET tracers.
  • The software can detect significant local amyloid accumulation in individual patients.
  • This tool enhances the utility of amyloid PET imaging in Alzheimer's disease diagnosis and research.