Evidence map›Paper›PMID 37201176›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Operationalizing the centiloid scale for [

William Coath, Marc Modat, M Jorge Cardoso, Pawel J Markiewicz, Christopher A Lane, Thomas D Parker, Ashvini Keshavan, Sarah M Buchanan, Sarah E Keuss, Matthew J Harris and 16 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 18 citations in OpenAlex.

  1. MIND diet-related plasma proteins are associated with Alzheimer's disease risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Cerebellar cortical amyloid deposition biasesEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Plasma proteomic Alzheimer's risk score: Biological age clock and pseudotime trajectory.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Considerations in the clinical use of amyloid PET and CSF biomarkers for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  8. Article
  9. Article
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  11. Article
  12. Review
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  16. Operationalizing the centiloid scale for [Alzheimer's & dementia (Amsterdam, Netherlands)
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 9 institutions in 3 countries.

William CoathDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Marc ModatSchool of Biomedical Engineering and Imaging Sciences King's College London London UK.
M Jorge CardosoSchool of Biomedical Engineering and Imaging Sciences King's College London London UK.
Pawel J MarkiewiczCentre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering UCL London UK.
Christopher A LaneDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Thomas D ParkerDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Ashvini KeshavanDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Sarah M BuchananDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Sarah E KeussDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Matthew J HarrisDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Ninon BurgosSorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, AP-HP, Hôpital Pitié Salpêtrière, Inria Aramis project-team Paris France.
John DicksonInstitute of Nuclear Medicine University College London Hospitals London UK.
Anna BarnesInstitute of Nuclear Medicine University College London Hospitals London UK.
David L ThomasDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Daniel BeasleySchool of Biomedical Engineering and Imaging Sciences King's College London London UK.
Ian B MaloneDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Andrew WongMRC Unit for Lifelong Health and Ageing at UCL London UK.
Kjell ErlandssonInstitute of Nuclear Medicine University College London Hospitals London UK.
Benjamin A ThomasInstitute of Nuclear Medicine University College London Hospitals London UK.
Michael SchöllDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Sebastien OurselinSchool of Biomedical Engineering and Imaging Sciences King's College London London UK.
Marcus RichardsMRC Unit for Lifelong Health and Ageing at UCL London UK.
Nick C FoxDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Jonathan M SchottDementia Research Centre UCL Queen Square Institute of Neurology London UK.
David M CashDementia Research Centre UCL Queen Square Institute of Neurology London UK.
Alzheimer's Disease Neuroimaging Initiative
University College London · GBKing's College London · GBNational Hospital for Neurology and Neurosurgery · GBMRC Unit for Lifelong Health and Ageing · GBNIHR Queen Square Dementia Biomedical Research Unit · GBRoyal London Hospital · GBSorbonne Université · FRUK Dementia Research Institute · GBWallenberg Wood Science Center · SE

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Medical Research Council MC_UU_00019/3Medical Research Council MC_UU_12019/3NIA NIH HHS U01 AG024904Wellcome Trust
6 · The paper itself

Abstract

introductionThe Centiloid scale aims to harmonize amyloid beta (Aβ) positron emission tomography (PET) measures across different analysis methods. As Centiloids were created using PET/computerized tomography (CT) data and are influenced by scanner differences, we investigated the Centiloid transformation with data from Insight 46 acquired with PET/magnetic resonanceimaging (MRI).

methodsWe transformed standardized uptake value ratios (SUVRs) from 432 florbetapir PET/MRI scans processed using whole cerebellum (WC) and white matter (WM) references, with and without partial volume correction. Gaussian-mixture-modelling-derived cutpoints for Aβ PET positivity were converted.

resultsThe Centiloid cutpoint was 14.2 for WC SUVRs. The relationship between WM and WC uptake differed between the calibration and testing datasets, producing implausibly low WM-based Centiloids. Linear adjustment produced a WM-based cutpoint of 18.1. DISCUSSION: Transformation of PET/MRI florbetapir data to Centiloids is valid. However, further understanding of the effects of acquisition or biological factors on the transformation using a WM reference is needed. HIGHLIGHTS: Centiloid conversion of amyloid beta positron emission tomography (PET) data aims to standardize results.Centiloid values can be influenced by differences in acquisition.We converted florbetapir PET/magnetic resonance imaging data from a large birth cohort.Whole cerebellum referenced values could be reliably transformed to Centiloids.White matter referenced values may be less generalizable between datasets.

Indexed as

Alzheimer's diseaseamyloid betacentiloidflorbetapirpositron emission tomography/magnetic resonance imaging

Identifiers

PMID37201176
PMCPMC10186069
OpenAlexW4376645205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.