Journal article
The RSNA QIBA Profile for Amyloid PET as an Imaging Biomarker for Cerebral Amyloid Quantification
The Journal of nuclear medicine : JNM, Vol.64(2), pp.294-303
02/2023
DOI: 10.2967/jnumed.122.264031
PMCID: PMC9902844
PMID: 36137760
Abstract
A standardized approach to acquiring amyloid PET images increases their value as disease and drug response biomarkers. Most 18F 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. Methods: 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. Results: 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. Conclusion: This overview explains the claim, requirements, barriers, and potential future developments of the profile to achieve precision in clinical and research amyloid PET imaging.
Details
- Title: Subtitle
- The RSNA QIBA Profile for Amyloid PET as an Imaging Biomarker for Cerebral Amyloid Quantification
- Creators
- Anne M Smith - Medical SolutionsNancy A Obuchowski - Cleveland ClinicNorman L Foster - University of UtahGregory Klein - RocheP David Mozley - Cornell UniversityAdriaan A Lammertsma - Amsterdam UMC Location VUmcRichard L Wahl - MallinckrodtJohn Sunderland - University of IowaJean-Luc E Vanderheyden - JLVMI CONSULTING, United States.Tammie L S Benzinger - Washington University in St. LouisPaul E Kinahan - University of Washington Medical CenterDean F Wong - Washington University in St. Louis School of MedicineEric S Perlman - Perlman Advisory Group.Satoshi Minoshima - University of UtahDawn Matthews - ADM Diagnostices, United States.
- Resource Type
- Journal article
- Publication Details
- The Journal of nuclear medicine : JNM, Vol.64(2), pp.294-303
- DOI
- 10.2967/jnumed.122.264031
- PMID
- 36137760
- PMCID
- PMC9902844
- ISSN
- 0161-5505
- eISSN
- 1535-5667
- Language
- English
- Electronic publication date
- 09/22/2022
- Date published
- 02/2023
- Academic Unit
- Radiology; Physics and Astronomy; Radiation Oncology
- Record Identifier
- 9984314292902771
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