Evidence map›Paper›PMID 37225974›Full record

ArticleEJNMMI research2023

Software compatibility analysis for quantitative measures of [

Hugh G Pemberton, Christopher Buckley, Mark Battle, Ariane Bollack, Vrajesh Patel, Petya Tomova, David Cooke, Will Balhorn, Katherine Hegedorn, Johan Lilja and 2 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Quantitative agreement between AMYclz and CortexID forJapanese journal of radiology · 2026
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  3. Comparability of Centiloid values from [Neuroimage. Reports · 2026
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  4. Article
  5. Article
  6. Comparison of Amyloid-PET Analysis Software UsingDiagnostics (Basel, Switzerland) · 2025
    Article
  7. 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

12 authors at 5 institutions in 4 countries.

Hugh G PembertonGE Healthcare, Pollards Wood, Chalfont St Giles, Amersham, HP8 4SP, UK. h.pemberton@ucl.ac.uk.ORCID http://orcid.org/0000-0001-8419-6423
Christopher BuckleyGE Healthcare, Pollards Wood, Chalfont St Giles, Amersham, HP8 4SP, UK.
Mark BattleGE Healthcare, Pollards Wood, Chalfont St Giles, Amersham, HP8 4SP, UK.ORCID http://orcid.org/0000-0002-6190-6389
Ariane BollackCentre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.
Vrajesh PatelGE Healthcare, Pollards Wood, Chalfont St Giles, Amersham, HP8 4SP, UK.
Petya TomovaGE Healthcare, Pollards Wood, Chalfont St Giles, Amersham, HP8 4SP, UK.
David CookeSyntermed, Atlanta, GA, USA.
Will BalhornMIM Software, Cleveland, OH, USA.
Katherine HegedornMIM Software, Cleveland, OH, USA.
Johan LiljaHERMES Medical Solutions, Stockholm, Sweden.
Christine BrandGE Healthcare, Pollards Wood, Chalfont St Giles, Amersham, HP8 4SP, UK.
Gill FarrarGE Healthcare, Pollards Wood, Chalfont St Giles, Amersham, HP8 4SP, UK.
Hermes Medical Solutions (Sweden) · SELund University · SEQueen Mary University of London · GBSyntermed (United States) · USUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleAmyloid-β (Aβ) pathology is one of the earliest detectable brain changes in Alzheimer's disease pathogenesis. In clinical practice, trained readers will visually categorise positron emission tomography (PET) scans as either Aβ positive or negative. However, adjunct quantitative analysis is becoming more widely available, where regulatory approved software can currently generate metrics such as standardised uptake value ratios (SUVr) and individual Z-scores. Therefore, it is of direct value to the imaging community to assess the compatibility of commercially available software packages. In this collaborative project, the compatibility of amyloid PET quantification was investigated across four regulatory approved software packages. In doing so, the intention is to increase visibility and understanding of clinically relevant quantitative methods.

methodsComposite SUVr using the pons as the reference region was generated from [

resultsUsing an Aβ positivity threshold of ≥ 0.6 SUVr

conclusionUsing an optimised cortical mask, regulatory approved software packages provided highly correlated and reliable quantification of [

Indexed as

[18F]flutemetamolAlzheimer’sAmyloid PETMCIQuantificationSUVr

Identifiers

PMID37225974
PMCPMC10209381
OpenAlexW4377981954

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.