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Accuracy of endometrial sampling in the diagnosis of endometrial cancer: a multicenter retrospective analysis of the JAGO-NOGGO.

Authors :
Alwafai Z
Beck MH
Fazeli S
Gürtler K
Kunz C
Singhartinger J
Trojnarska D
Zocholl D
Krankenberg DJ
Blohmer JU
Sehouli J
Pietzner K
Source :
BMC cancer [BMC Cancer] 2024 Mar 25; Vol. 24 (1), pp. 380. Date of Electronic Publication: 2024 Mar 25.
Publication Year :
2024

Abstract

Background: Accurate preoperative molecular and histological risk stratification is essential for effective treatment planning in endometrial cancer. However, inconsistencies between pre- and postoperative tumor histology have been reported in previous studies. To address this issue and identify risk factors related to inaccurate histologic diagnosis after preoperative endometrial evaluation, we conducted this retrospective analysis.<br />Methods: We conducted a retrospective analysis involving 375 patients treated for primary endometrial cancer in five different gynaecological departments in Germany. Histological assessments of curettage and hysterectomy specimens were collected and evaluated.<br />Results: Preoperative histologic subtype was confirmed in 89.5% of cases and preoperative tumor grading in 75.2% of cases. Higher rates of histologic subtype variations (36.84%) were observed for non-endometrioid carcinomas. Non-endometrioid (OR 4.41) histology and high-grade (OR 8.37) carcinomas were identified as predictors of diverging histologic subtypes, while intermediate (OR 5.04) and high grading (OR 3.94) predicted diverging tumor grading.<br />Conclusion: When planning therapy for endometrial cancer, the limited accuracy of endometrial sampling, especially in case of non-endometrioid histology or high tumor grading, should be carefully considered.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1471-2407
Volume :
24
Issue :
1
Database :
MEDLINE
Journal :
BMC cancer
Publication Type :
Academic Journal
Accession number :
38528468
Full Text :
https://doi.org/10.1186/s12885-024-12127-7