The RSNA QIBA Profile for Amyloid PET as an Imaging Biomarker for Cerebral Amyloid Quantification.
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- Record sourced from PubMed, PMID 36137760.
- Also identified by DOI 10.2967/jnumed.122.264031 and PMC identifier 9902844.
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Abstract
A standardized approach to acquiring amyloid PET images increases their value as disease and drug response biomarkers. Most <sup>18</sup>F PET amyloid brain scans often are assessed only visually (per regulatory labels), with a binary decision indicating the presence or absence of Alzheimer disease amyloid pathology. Minimizing technical variance allows precise, quantitative SUV ratios (SUVRs) for early detection of β-amyloid plaques and allows the effectiveness of antiamyloid treatments to be assessed with serial studies. <b>Methods:</b> The Quantitative Imaging Biomarkers Alliance amyloid PET biomarker committee developed and validated a profile to characterize and reduce the variability of SUVRs, increasing statistical power for these assessments. <b>Results:</b> On achieving conformance, sites can justify a claim that brain amyloid burden reflected by the SUVR is measurable to a within-subject coefficient of variation of no more than 1.94% when the same radiopharmaceutical, scanner, acquisition, and analysis protocols are used. <b>Conclusion:</b> This overview explains the claim, requirements, barriers, and potential future developments of the profile to achieve precision in clinical and research amyloid PET imaging.
Medical subject headings
- Image Processing, Computer-Assisted
- Alzheimer Disease