Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2024 Dec;20(12):9037-9048.
doi: 10.1002/alz.14336. Epub 2024 Nov 20.

Centiloid recommendations for clinical context-of-use from the AMYPAD consortium

Affiliations
Review

Centiloid recommendations for clinical context-of-use from the AMYPAD consortium

Lyduine E Collij et al. Alzheimers Dement. 2024 Dec.

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.

PubMed Disclaimer

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 Alzheimer's Research & Therapy. Valentina Garibotto is supported by the Swiss national science foundation (project n.320030_185028 and 320030_169876), the Aetas Foundation, the Schmidheiny Foundation, the Velux Foundation, the Fondation privée des HUG; and has received support for research and speakers’ fees from Siemens Healthineers, GE HealthCare, Janssen, and Novo Nordisk, all paid to the institution. Author disclosures are available in the Supporting information.

Figures

FIGURE 1
FIGURE 1
Overview of Centiloid implementation and available software in research and clinical settings. PiB, Pittsburgh compound B.
FIGURE 2
FIGURE 2
Centiloid publications in PubMed (search performed on the 01/01/24).
FIGURE 3
FIGURE 3
AMYPAD participants categorized by cognitive stage and baseline CL. Bar plots illustrate the distribution of CL groups across two studies, (A) DPMS and (B) PNHS, from the AMYPAD consortium. Subjects were categorized into four groups based on their baseline amyloid burden: <10 CL (no amyloid pathology), 10 to 30 CL (“intermediate range,” evolving amyloid pathology), 30 to 60 CL (established amyloid pathology with increased prevalence of tau positivity), and >60 CL (established amyloid pathology with high certainty of tau‐PET positivity). AMYPAD DPMS and PNHS datasets are publicly available (https://amypad.eu/data/). AMYPAD, Amyloid Imaging to Prevent Alzheimer's Disease; CDR, Clinical Dementia Rating; CL, Centiloid; DPMS, Diagnostic and Patient Management Study; MCI, mild cognitive impairment; PNHS, Prognostic and Natural History Study; SCD+, subjective cognitive decline plus.
FIGURE 4
FIGURE 4
Overview of Centiloid scale interpretation. An illustrative figure summarizing the main studies regarding CL‐based cut points to reliability exclude (<10 CL) and include (>30 CL) Aβ‐pathology at the individual level. In addition, the 95% confidence interval across the scale is provided and detailed cutoffs in the “intermediate range” are highlighted. Aβ, amyloid‐beta; CL, Centiloid; CI, confidence interval; CSF, cerebrospinal fluid; GAAIN, Global Alzheimer's Association Interactive Network; PET, positron emission tomography; SPM, Statistical Parametric Mapping.
FIGURE 5
FIGURE 5
Amyloid‐β removal profiles for Phase‐III trials of aducanumab, donanemab, gantenerumab, and lecanemab as measured by Centiloid (CL). Sample sizes in the treatment arms varied for the individual trials and were at the last visit: = 614 for donanemab, = 210 for lecanemab, = 50 (Graduate 1) and = 41 (Graduate 2) for gantenerumab, and = 109 (Emerge high‐dose) and = 112 (Engage high‐dose) for aducanumab. Data points as reported in Sims et al. (2023), van Dyck et al. (2022), Bateman et al. (2023), and Budd Haeberlein et al. (2022). Placebo groups are not plotted and showed constant or slightly increasing amyloid levels over time, as expected. The dotted line represents 24.1 CL, the cutoff for amyloid‐negativity as defined within the GRADUATE 1 and 2 trials and implemented in the head‐to‐head studies of donanemab versus Aduhelm.

References

    1. Pemberton HG, Collij LE, Heeman F, et al. Quantification of amyloid PET for future clinical use: a state‐of‐the‐art review. Eur J Nucl Med Mol Imaging. 2022;49(10):3508‐3528. doi:10.1007/s00259-022-05784-y - DOI - PMC - PubMed
    1. Collij LE, Salvadó G, de Wilde A, et al. Quantification of [18F]florbetaben amyloid‐PET imaging in a mixed memory clinic population: the ABIDE project. Alzheimers Dement. 2023;19(6):2397‐2407. doi:10.1002/alz.12886 - DOI - PubMed
    1. Altomare D, Collij L, Caprioglio C, et al. Description of a European memory clinic cohort undergoing amyloid‐PET: the AMYPAD Diagnostic and Patient Management Study. Alzheimers Dement. 2023;19(3):844‐856. doi:10.1002/alz.12696 - DOI - PubMed
    1. Budd Haeberlein S, Aisen PS, Barkhof F, et al. Two randomized phase 3 studies of aducanumab in early Alzheimer's disease. J Prev Alzheimers Dis. 2022;9(2):197‐210. doi:10.14283/jpad.2022.30 - DOI - PubMed
    1. Bateman RJ, Smith J, Donohue MC, et al. Two phase 3 trials of gantenerumab in early Alzheimer's disease. N Engl J Med. 2023;389(20):1862‐1876. doi:10.1056/NEJMoa2304430 - DOI - PMC - PubMed

MeSH terms

LinkOut - more resources