Evidence map›Paper›PMID 42209943›Full record

ArticleEJNMMI research2026

Toward reproducible metabolic tumor volume quantification in endometrial cancer: optimizing [¹⁸F]FDG PET/CT tumor segmentation methods.

Kristine Eldevik Fasmer, Sunniva Lindås, Ankush Gulati, Julie Andrea Dybvik, Erlend Hodneland, Camilla Krakstad, Ingfrid Salvesen Haldorsen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI research, 2026. 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

7 authors.

Kristine Eldevik FasmerMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway. kristine.fasmer@helse-bergen.no.ORCID http://orcid.org/0000-0001-8773-7870
Sunniva LindåsMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Ankush GulatiMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Julie Andrea DybvikMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Erlend HodnelandMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.
Camilla KrakstadCentre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway.
Ingfrid Salvesen HaldorsenMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic tumor volume (MTV) derived from [

resultsThis study included 146 patients with histologically confirmed endometrial cancer who underwent preoperative PET/CT imaging on a Siemens TruePoint (n = 67) or a Siemens Biograph Vision scanner (n = 79). MTV

conclusionMTV

Indexed as

Endometrial cancerFluorodeoxyglucose F18Interobserver agreementPositron emission tomography computed tomographyPrognosis

Identifiers

PMID42209943
PMCPMC13230389

What OpenQuestion holds

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Registered trials

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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.