Evidence map›Paper›PMID 37729223›Full record

ArticleRevista da Associacao Medica Brasileira (1992)2023

Ultrasonography, macroscopy, and frozen section: whıch is better for predicting deep myometrial invasıon in endometrial cancer?

Cem Yagmur Ozdemir, Elcin Uzmez Telli, Tufan Oge, Omer Tarik Yalcin

Abstract read
In one paragraph

Article in Revista da Associacao Medica Brasileira (1992), 2023. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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. 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

4 authors.

Cem Yagmur OzdemirAfyonkarahisar Health Sciences University Hospital, Facutly of Medicine, Department of Obstetrics and Gynecology - Afyonkarahisar, Turkey.ORCID http://orcid.org/0000-0001-5560-2162
Elcin Uzmez TelliEskişehir Osmangazi University, Faculty of Medicine, Department of Obstetrics and Gynecology - Eskisehir, Turkey.ORCID http://orcid.org/0000-0002-3228-8809
Tufan OgeEskişehir Osmangazi University, Faculty of Medicine, Department of Obstetrics and Gynecology - Eskisehir, Turkey.ORCID http://orcid.org/0000-0002-1951-9713
Omer Tarik YalcinEskişehir Osmangazi University, Faculty of Medicine, Department of Obstetrics and Gynecology - Eskisehir, Turkey.ORCID http://orcid.org/0000-0001-5626-1881

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to compare the power of preoperative transvaginal ultrasonography, intraoperative macroscopic examination, and frozen section for predicting deep myometrial invasion in endometrial cancer.

methodsThis is a retrospective review involving 68 patients who underwent surgical staging for endometrial cancer from 2014 to 2017. Patients with grade 3 endometrial cancer and non-endometrioid tumors were excluded. The findings related to preoperative transvaginal ultrasonography, intraoperative macroscopic examination, and frozen section were compared with definitive histopathological diagnosis.

resultsThe mean age, gravidity, and body mass index of the patients were 58.1±8.9 years (range: 30-80 years), 3.2±2.1 (range: 0-9), and 33.5±6.6 kg/m2 (range: 20-52 kg/m2), respectively. Only 11 (16.2%) patients were in the premenopausal period, while 57 (83.8%) were in the postmenopausal period. Grade 1 endometrial cancer was found in 29 patients (42.6%) and grade 2 tumors were specified in 39 patients (57.4%). Stage IA disease was found in 45 (66.2%) patients, while stage IB disease was observed in 23 (33.8%) patients. The 5-year survival rate was 91.2%. The sensitivity of preoperative transvaginal ultrasonography, intraoperative macroscopic examination, and frozen section were 56, 34, and 52%, respectively, for predicting deep myometrial invasion. In contrast, the specificity of preoperative ultrasonography, intraoperative macroscopic examination, and frozen section were 86, 100, and 100%, respectively.

conclusionTransvaginal ultrasonography and intraoperative frozen section were found to have similar sensitivity and specificity for predicting deep myometrial invasion. Preoperative transvaginal ultrasonography appears as an efficient approach for predicting endometrial cancers with deep myometrial invasion.

Indexed as

Endometrial NeoplasmsFrozen SectionsAdultAgedAged, 80 and overBody Mass IndexFemaleHumansMiddle AgedPostmenopauseUltrasonography

Identifiers

PMID37729223
PMCPMC10511276

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