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Comparison of MR-less PiB SUVR quantification methods.

Pierrick Bourgeat1, Victor L Villemagne2, Vincent Dore3

  • 1Preventative Health Flagship, CSIRO Digital Productivity and Services Flagship, Herston, Queensland, Australia.

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Summary
This summary is machine-generated.

Adaptive and multi-atlas PET-only methods accurately quantify amyloid-β (Aβ) deposition in Alzheimer's disease (AD) when magnetic resonance imaging (MRI) is unavailable. These methods offer reliable alternatives to MR-based quantification for PiB PET imaging.

Keywords:
Alzheimer's diseasePET quantificationPittsburgh compound B

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Area of Science:

  • Neurology
  • Radiochemistry
  • Medical Imaging

Background:

  • Alzheimer's disease (AD) diagnosis relies on identifying amyloid-β (Aβ) plaques, a hallmark of the disease.
  • (11)C-Pittsburgh compound B (PiB) positron emission tomography (PET) is a key imaging tracer for Aβ detection.
  • Accurate quantification of PiB PET scans typically requires co-registered magnetic resonance imaging (MRI) for brain parcellation.

Purpose of the Study:

  • To evaluate MR-less PET quantification methods for PiB imaging.
  • To compare the accuracy and reliability of mean, adaptive, and multi-atlas approaches against MR-based quantification.
  • To determine suitable alternatives for PiB quantification in cases where MRI is not feasible.

Main Methods:

  • Utilized a database of 237 subjects with both PiB PET and MRI scans.
  • Assessed three PET-only quantification methods: mean atlas, adaptive atlas, and multi-atlas.
  • Compared PET-only methods against MR-based standardized uptake value ratio (SUVR) quantification.

Main Results:

  • Adaptive and multi-atlas methods showed low errors (3.06% and 2.74%) and no significant bias, comparable to MR-based SUVR (R(2) = 0.98).
  • The mean atlas method exhibited significant bias and a higher error (5.6%), with 10 misclassified subjects.
  • Adaptive and multi-atlas approaches demonstrated high accuracy in classifying subjects with low versus high Aβ deposition.

Conclusions:

  • Adaptive and multi-atlas PET-only quantification methods are effective and reliable alternatives to MR-based approaches for PiB imaging.
  • These MR-less methods are suitable for scenarios where MRI is unavailable, ensuring continued research and clinical utility.
  • The findings support the broader application of PiB PET for Alzheimer's disease research and diagnosis without MRI dependency.