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Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies.

Pierrick Bourgeat1, Vincent Doré2, James Doecke1

  • 1CSIRO Health and Biosecurity, Brisbane, Australia.

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Summary
This summary is machine-generated.

A new method using non-negative matrix factorisation (NMF) improves beta-amyloid (Aβ) PET quantification consistency. This approach reduces outliers and enhances longitudinal reliability, offering more robust data for Alzheimer's research.

Keywords:
Aβ ImagingCentiloid

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Area of Science:

  • Neuroimaging
  • Biomarker Quantification
  • Alzheimer's Disease Research

Background:

  • Centiloid was developed to standardize beta-amyloid (Aβ) PET imaging across different methods.
  • Existing Centiloid quantification shows variability in longitudinal analyses, especially when using different tracers or scanners.
  • This variability hinders accurate tracking of Aβ deposition over time.

Purpose of the Study:

  • To reduce quantification disparities in Centiloid analysis, particularly in longitudinal studies.
  • To develop a novel analysis technique for more reliable Aβ PET quantification.
  • To improve the consistency of Centiloid measurements when switching between PET tracers.

Main Methods:

  • Employed non-negative matrix factorisation (NMF) on Centiloid calibration data and AIBL study PET images.
  • Normalized PET images using the whole cerebellum for Standardized Uptake Value Ratio (SUVR).
  • Used NMF coefficients as a surrogate for Aβ retention, aligning them with PiB tracer data for standardization.

Main Results:

  • The novel NMF-based Centiloid showed high correlation with standard Centiloid values across tracers.
  • NMF-based Centiloids demonstrated a significant reduction in outliers and improved longitudinal consistency.
  • This method effectively removed tracer-switching effects from longitudinal variance in Centiloid measurements.

Conclusions:

  • A novel, image-driven NMF method enhances Centiloid quantification reliability.
  • The proposed method maintains high correlation with standard Centiloids while improving longitudinal stability.
  • Widespread implementation could lead to more robust and comparable Aβ PET data in multi-study research.