Evidence map›Paper›PMID 32034487›Full record

ArticleEuropean radiology2020

Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer.

Kristine E Fasmer, Ankush Gulati, Julie A Dybvik, Sigmund Ytre-Hauge, Øyvind Salvesen, Jone Trovik, Camilla Krakstad, Ingfrid S Haldorsen

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2020. 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
2.0field-weighted citation impact, top 10% 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, 26 citations in OpenAlex.

  1. Article
  2. Predictive value of primary tumorCancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  3. Article
  4. Predicting aggressive disease and poor outcome in endometrial cancer using preoperative [European journal of nuclear medicine and molecular imaging · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Retrospective analysis of theRadiation oncology (London, England) · 2023
    Article
  9. Preoperative pelvic MRI and 2-[European radiology · 2023
    Article
  10. The Evaluation of PreoperativeMolecular imaging and radionuclide therapy · 2022
    Article
  11. Article
  12. Review
  13. Feasibility and utility of MRI and dynamicJournal of translational medicine · 2021
    Article
  14. Article
  15. Article
  16. 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

8 authors at 2 institutions in 1 country.

Kristine E FasmerMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Liesvei 65, 5021, Bergen, Norway. kristine.fasmer@helse-bergen.no.ORCID http://orcid.org/0000-0001-8773-7870
Ankush GulatiMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Liesvei 65, 5021, Bergen, Norway.
Julie A DybvikMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Liesvei 65, 5021, Bergen, Norway.
Sigmund Ytre-HaugeMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Liesvei 65, 5021, Bergen, Norway.
Øyvind SalvesenUnit for Applied Clinical Research, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Jone TrovikDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Camilla KrakstadDepartment of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.
Ingfrid S HaldorsenMohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Jonas Liesvei 65, 5021, Bergen, Norway.
Haukeland University Hospital · NONorwegian University of Science and Technology · NO

Funding

Bergens Forskningsstiftelse BFS2018TMT06Helse Vest 912060
6 · The paper itself

Abstract

objectivesTo compare the diagnostic accuracy of preoperative 18F-FDG PET/CT and MRI tumor markers for prediction of lymph node metastases (LNM) and aggressive disease in endometrial cancer (EC).

methodsPreoperative whole-body 18F-FDG PET/CT and pelvic MRI were performed in 215 consecutive patients with histologically confirmed EC. PET/CT-based tumor standardized uptake value (SUV

resultsFor prediction of LNM, MTV yielded the largest area under the ROC curve (AUC) (AUC = 0.80), whereas V

conclusionsTumor markers from 18F-FDG PET/CT outperform MRI markers for the prediction of LNM. MTV > 27 ml yields a high diagnostic performance for predicting aggressive disease and represents a promising supplement to conventional PET/CT reading in EC. KEY POINTS: • Metabolic tumor volume (MTV) outperforms other 18F-FDG PET/CT and MRI markers for preoperative prediction of lymph node metastases (LNM) in endometrial cancer patients. • Using cutoff values for tumor volume for prediction of LNM, MTV > 27 ml yielded higher specificity and accuracy than V

Indexed as

AdultAgedAged, 80 and overEndometrial NeoplasmsFemaleFluorodeoxyglucose F18HumansLymphatic MetastasisLymph NodesMagnetic Resonance ImagingMiddle AgedPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsROC CurveFluorodeoxyglucose F18Radiopharmaceuticals18F-FDGEndometrial cancerLymphatic metastasisMagnetic resonance imagingPET-CT

Identifiers

PMID32034487
PMCPMC7160067
OpenAlexW3004493770

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.