Evidence map›Paper›PMID 42597411›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Inter-software variability of Centiloid quantification in amyloid PET: A head-to-head comparison of five software platforms.

Jun Zhang, Brian J Burkett, Christopher G Schwarz, Nur Dizdar, Matthew P Johnson, Cem Bilgin, Bradley J Kemp, Jolanta M Durski, Val Lowe, Derek R Johnson

Abstract 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jun ZhangDepartment of Radiology Mayo Clinic Rochester Minnesota USA.ORCID https://orcid.org/0000-0002-6515-601X
Brian J BurkettDepartment of Radiology Mayo Clinic Rochester Minnesota USA.
Christopher G SchwarzDepartment of Radiology Mayo Clinic Rochester Minnesota USA.
Nur DizdarDepartment of Radiology Mayo Clinic Rochester Minnesota USA.
Matthew P JohnsonDepartment of Quantitative Health Sciences Mayo Clinic Rochester Minnesota USA.
Cem BilginDepartment of Radiology Mayo Clinic Rochester Minnesota USA.
Bradley J KempDepartment of Radiology Mayo Clinic Rochester Minnesota USA.
Jolanta M DurskiDepartment of Radiology Mayo Clinic Rochester Minnesota USA.
Val LoweDepartment of Radiology Mayo Clinic Rochester Minnesota USA.
Derek R JohnsonDepartment of Radiology Mayo Clinic Rochester Minnesota USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCentiloid (CL) scaling standardizes amyloid positron emission tomography (PET) quantification across tracers and platforms; however, variability across software implementations may affect diagnostic classification. This study evaluated inter-software variability and diagnostic performance across five platforms using identical

methodsRetrospectively, 192 patients undergoing

resultsAgreement was excellent (intraclass correlation coefficient [ICC] 0.969; 95%CI 0.961-0.975). Some platforms produced systematically higher CL values versus others slightly lower. LoA reached ± 30 CL. Diagnostic accuracy was high (area under the curve [AUC]: 0.949-0.975), with sensitivity 0.923-0.968 and specificity 0.667-0.806. DISCUSSION: Despite excellent agreement, systematic differences persist and may affect classification near thresholds, supporting consistent use of a single processing pipeline.

Indexed as

18F‐florbetapirAlzheimer's diseaseCentiloid quantificationdiagnostic performanceinter‐software variability

Identifiers

PMID42597411
PMCPMC13469330

What OpenQuestion holds

Textmetadata
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.