Evidence map›Paper›PMID 37953391›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2024

Mitigating SUV uncertainties using total body PET imaging.

Charlotte L C Smith, Gerben J C Zwezerijnen, Marijke E den Hollander, Jolijn Weijland, Maqsood Yaqub, Ronald Boellaard

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Charlotte L C SmithDepartment of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117 1081 HV, Amsterdam, The Netherlands. c.l.c.smith@amsterdamumc.nl.ORCID 0009-0008-8558-4872
Gerben J C ZwezerijnenDepartment of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117 1081 HV, Amsterdam, The Netherlands.
Marijke E den HollanderDepartment of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117 1081 HV, Amsterdam, The Netherlands.
Jolijn WeijlandDepartment of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117 1081 HV, Amsterdam, The Netherlands.
Maqsood YaqubDepartment of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117 1081 HV, Amsterdam, The Netherlands.
Ronald BoellaardDepartment of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117 1081 HV, Amsterdam, The Netherlands.
Dutch Cancer Society · NLAmsterdam University Medical Centers · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStandardised uptake values (SUV) are commonly used to quantify

methodsTwenty-five out of 81 patient scans from a LAFOV PET/CT system were used to determine regression fits for deriving of image-derived activity and weight. Thereafter, the regression fits were applied to 56 independent

resultsBoth TB and HB

conclusion

Indexed as

Fluorodeoxyglucose F18Positron Emission Tomography Computed TomographyHumansPositron-Emission TomographyRadiopharmaceuticalsWhole Body ImagingFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTBody weightImage basedLAFOV PETQuality control

Identifiers

PMID37953391
PMCPMC10881693
OpenAlexW4388616802

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.