Centiloid recommendations for clinical context-of-use from the AMYPAD consortium
- PMID: 39564918
- PMCID: PMC11667534
- DOI: 10.1002/alz.14336
Centiloid recommendations for clinical context-of-use from the AMYPAD consortium
Abstract
Amyloid-PET quantification through the tracer-independent Centiloid (CL) scale has emerged as an essential tool for the accurate measurement of amyloid-β (Aβ) pathology in Alzheimer's disease (AD) patients. The AMYPAD consortium set out to integrate existing literature and recent work from the consortium to provide clinical context-of-use recommendations for the CL scale. Compared to histopathology, visual reads, and cerebrospinal fluid, CL quantification accurately reflects the amount of AD pathology. With high certainty, a CL value below 10 excludes the presence of Aβ pathology, while a value above 30 corresponds well with pathological amounts. Values falling in between these two cutoffs ("intermediate range") are related to an increased risk of disease progression. Together, CL quantification is a valuable adjunct to visual assessments of amyloid-PET images. An abnormal amyloid biomarker assessment is a key criterion to determine eligibility for anti-amyloid disease-modifying therapies, and amyloid-PET quantification can add further value by precisely monitoring amyloid clearance, and hence guiding patient management decisions. HIGHLIGHTS: Centiloid (CL) quantification robustly reflects of the amount of Aβ pathology. CL < 10/CL > 30 reflects Aβ-negativity/positivity thresholds with high certainty. CL quantification is a valuable adjunct to visual assessments of amyloid-PET. CL quantification can support trial design and treatment management. CL quantification could support the identification of early or emerging Aβ pathology.
Keywords: Amyloid‐β; Centiloid quantification; clinical trials; positron emission tomography.
© 2024 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
Conflict of interest statement
Ariane Bollack is employed by GE HealthCare. Alexander Drzezga has received research support from Siemens Healthineers, Life Molecular Imaging, GE Healthcare, AVID Radiopharmaceuticals, Sofie, Eisai, Novartis/AAA, and Ariceum Therapeutics; has served as Speaker Honorary/Advisory Boards for Siemens Healthineers, Sanofi, GE Healthcare, Biogen, Novo Nordisk, Invicro, Novartis/AAA, and Bayer Vital; holds stock in Siemens Healthineers, Lantheus Holdings, Structured therapeutics, and ImmunoGen; and holds a patent for 18F‐JK‐PSMA‐7 (Patent No.: EP3765097A1; Date of patent: Jan 20, 2021). Aleksandar Jovalekic is employed by Life Molecular Imaging. Andrew W. Stephens is employed by Life Molecular Imaging. Christopher Buckley is employed by GE HealthCare. David Valléz Garciá has no relevant disclosures. Frederik Barkhof is supported by the NIHR biomedical research center at UCLH; serves as a steering committee or Data Safety Monitoring Board member for Biogen, Merck, Eisai, and Prothena; serves as an advisory board member for Combinostics and Scottish Brain Sciences; serves as a consultant for Roche, Celltrion, Rewind Therapeutics, Merck, and Bracco; has research agreements with ADDI, Merck, Biogen, GE Healthcare, and Roche; and is co‐founder and shareholder of Queen Square Analytics LTD. Gill Farrar is employed by GE HealthCare. Juan Domingo Gispert has received research support from GE HealthCare, Roche Diagnostics, and Hoffmann – La Roche; has received speaker/consulting fees from Roche Diagnostics, Philips Nederlands, Esteve, Biogen, and Life Molecular Imaging; and serves in the Molecular Neuroimaging Advisory Board of Prothena Biosciences. Lyduine E. Collij has received research support from GE Healthcare and Springer Healthcare (funded by Eli Lilly), both paid to the institution; Dr. Collij's salary is supported by an MSCA postdoctoral fellowship research grant (#101108819) and an Alzheimer Association Research Fellowship (AARF) grant (#23AARF‐1029663). Mark Battle is employed by GE HealthCare. Mahnaz Shekari has no relevant disclosures. Norman Koglin is employed by Life Molecular Imaging. Núria Roé‐Vellvé is employed by Life Molecular Imaging. Santiago Bullich is employed by Life Molecular Imaging. Renaud La Joie receives funding from NIH/NIA (P30‐AG062422, K99AG065501), the US Department of Defense, and the Alzheimer's Association (AARG‐22‐926899); and is an associate editor for
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