Evidence map›Paper›PMID 42419725›Full record

ArticleThe journal of obstetrics and gynaecology research2026

Assessing Preoperative Grading Discrepancies in Endometrial Cancer: Impact of Biopsy Method and Clinical Risk Factors.

Kanae Dofutsu, Taro Yagi, Hikari Unno, Satoshi Kubota, Kumi Masuda, Tomoko Sumikura, Keiko Matsuoka, Kouki Shimazu, Masahiko Takemura, Ken-Ichirou Morishige

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Article in The journal of obstetrics and gynaecology 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.

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5 · Who and what money

Authors and funding

10 authors.

Kanae DofutsuDepartment of Obstetrics and Gynecology, Osaka General Medical Center, Osaka, Japan.ORCID https://orcid.org/0009-0005-9484-3221
Taro YagiDepartment of Obstetrics and Gynecology, Osaka General Medical Center, Osaka, Japan.
Hikari UnnoDepartment of Obstetrics and Gynecology, Osaka General Medical Center, Osaka, Japan.
Satoshi KubotaDepartment of Obstetrics and Gynecology, Osaka General Medical Center, Osaka, Japan.
Kumi MasudaDepartment of Obstetrics and Gynecology, Osaka General Medical Center, Osaka, Japan.
Tomoko SumikuraDepartment of Obstetrics and Gynecology, Osaka General Medical Center, Osaka, Japan.
Keiko MatsuokaDepartment of Pathology, Osaka General Medical Center, Osaka, Japan.
Kouki ShimazuDepartment of Pathology, Osaka General Medical Center, Osaka, Japan.
Masahiko TakemuraDepartment of Obstetrics and Gynecology, Osaka General Medical Center, Osaka, Japan.ORCID https://orcid.org/0000-0001-7997-6927
Ken-Ichirou MorishigeDepartment of Obstetrics and Gynecology, Osaka General Medical Center, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAlthough molecular classification has improved risk stratification in endometrial cancer (EC), preoperative surgical decision-making remains based on histological subtype and tumor grade. We compared the diagnostic concordance of Pipelle biopsy and dilation and curettage (D&C) with final pathology in EC and identified risk factors for postoperative pathological discrepancies following Pipelle biopsy.

methodsWe retrospectively analyzed 355 patients with EC who underwent preoperative endometrial sampling by D&C or Pipelle biopsy between January 2009 and December 2025. EC was categorized according to the WHO 5th edition as low-grade (G1/G2 endometrioid endometrial carcinoma [EEC]), high-grade (G3 EEC), or non-endometrioid carcinoma (NEEC). Postoperative upgrading was defined as low-grade to high-grade/NEEC, and downgrading as high-grade/NEEC to low-grade. Concordance between preoperative and final pathology was assessed using Cohen's kappa coefficient. Binomial logistic regression analysis was performed in 297 patients with available clinical data to identify factors associated with pathological discrepancy.

resultsD&C demonstrated almost perfect concordance with final pathology (κ = 0.846), whereas Pipelle biopsy showed moderate concordance (κ = 0.577; p < 0.05). In the Pipelle group, endometrial thickness on MRI and preoperative histology were independently associated with pathological discrepancies. Patients with G1 EEC and endometrial thickness > 4.00 cm, and those with G2, G3, or NEEC and thickness > 0.40 cm, had a significantly increased risk of discordance.

conclusionsDiagnostic concordance was higher for D&C than for Pipelle biopsy. In selected high-risk patients, particularly those with higher-grade histology or increased endometrial thickness, D&C may be considered to improve preoperative pathological assessment and support surgical decision-making.

Indexed as

Carcinoma, EndometrioidDilatation and CurettageEndometrial NeoplasmsNeoplasm GradingPreoperative CareAdultAgedBiopsyEndometriumFemaleHumansMiddle AgedRetrospective StudiesRisk FactorsD&Cdiagnostic concordanceendometrial cancerPipellepreoperative diagnosis

Identifiers

PMID42419725
PMCPMC13357032

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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.