Evidence map›Paper›PMID 38539477›Full record

ArticleCancers2024

Performance of MRI for Detection of ≥pT1b Disease in Local Staging of Endometrial Cancer.

Leonie Van Vynckt, Philippe Tummers, Hannelore Denys, Menekse Göker, Sigi Hendrickx, Eline Naert, Rawand Salihi, Koen Van de Vijver, Gabriëlle H van Ramshorst, Donatienne Van Weehaeghe and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 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
0.6field-weighted citation impact, top 34% 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, 1 citations in OpenAlex.

  1. Review
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

13 authors at 2 institutions in 1 country.

Leonie Van VyncktFaculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
Philippe TummersDepartment of Obstetrics and Gynecology, Ghent University Hospital, 9000 Ghent, Belgium.
Hannelore DenysDepartment of Medical Oncology, Ghent University Hospital, 9000 Ghent, Belgium.ORCID 0000-0002-8897-9430
Menekse GökerDepartment of Obstetrics and Gynecology, Ghent University Hospital, 9000 Ghent, Belgium.ORCID 0000-0003-3393-5542
Sigi HendrickxDepartment of Radiology and Nuclear Medicine, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
Eline NaertDepartment of Medical Oncology, Ghent University Hospital, 9000 Ghent, Belgium.
Rawand SalihiDepartment of Obstetrics and Gynecology, Ghent University Hospital, 9000 Ghent, Belgium.
Koen Van de VijverDepartment of Pathology, Ghent University Hospital, 9000 Ghent, Belgium.ORCID 0000-0002-2026-9790
Gabriëlle H van RamshorstDepartment of Gastrointestinal Surgery, Ghent University Hospital, 9000 Ghent, Belgium.ORCID 0000-0002-5368-582X
Donatienne Van WeehaegheDepartment of Radiology and Nuclear Medicine, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.ORCID 0000-0001-6646-106X
Katrien VandecasteeleDepartment of Radiation Oncology, Ghent University Hospital, 9000 Ghent, Belgium.ORCID 0000-0002-7221-0811
Geert M VilleirsDepartment of Radiology and Nuclear Medicine, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
Pieter J L De VisschereDepartment of Radiology and Nuclear Medicine, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.ORCID 0000-0002-4842-7877
Ghent University Hospital · BEGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) can be used for the preoperative local staging of endometrial cancer (EC). The presence of ≥pT1b disease (i.e., tumor invasion in ≥50% of the myometrium, into the cervical stroma or spread outside the uterus) has important prognostic value and implications for the decision to perform lymphadenectomy. The purpose of this study was to assess the performance of MRI for the detection of ≥pT1b disease and to evaluate whether tumor size measured via MRI was predictive for ≥pT1b disease, independent of imaging signs of deep invasion. MRI T-staging and tumor diameter and volume were correlated with histopathology of the hysterectomy specimen in 126 patients. MRI had a sensitivity, specificity, positive predictive value, negative predictive value and accuracy of 70.0%, 83.3%, 79.2%, 75.3% and 77.0%, respectively, for the detection of ≥pT1b disease. A tumor diameter of ≥40 mm and volume of ≥20 mL measured via MRI were predictive for ≥pT1b disease at rates of 78.3% and 87.1%, respectively. An EC size of at least 5 mm upon MRI was predictive for ≥pT1b disease in more than 50% of cases. Our results support the use of MRI in the preoperative staging of EC and suggest including size criteria in EC staging guidelines.

Indexed as

endometrial cancermagnetic resonance imagingMRIstaging

Identifiers

PMID38539477
PMCPMC10968934
OpenAlexW4392763520

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.