Evidence map›Paper›PMID 41668713›Full record

ArticleBiomedical reports2026

Assessing preoperative biopsy accuracy in endometrial carcinoma: A preliminary low- and middle-income country-based report.

Rahela Khatun, Shahana Pervin, Rifat Ara, Taslima Niger, Erika Galietta, Arina A Zamfir, Alessio G Morganti, Muhammad Khademul Bashar

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Article in Biomedical reports, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Rahela KhatunDepartment of Gynecological Oncology, National Institute of Cancer Research and Hospital, Dhaka 1212, Bangladesh.
Shahana PervinDepartment of Gynecological Oncology, National Institute of Cancer Research and Hospital, Dhaka 1212, Bangladesh.
Rifat AraDepartment of Gynecological Oncology, National Institute of Cancer Research and Hospital, Dhaka 1212, Bangladesh.
Taslima NigerDepartment of Gynecological Oncology, National Institute of Cancer Research and Hospital, Dhaka 1212, Bangladesh.
Erika GaliettaDepartment of Radiation Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Azienda Ospedaliero-Universitaria di Bologna, Bologna I-40138, Italy.
Arina A ZamfirDepartment of Radiation Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Azienda Ospedaliero-Universitaria di Bologna, Bologna I-40138, Italy.
Alessio G MorgantiDepartment of Radiation Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Azienda Ospedaliero-Universitaria di Bologna, Bologna I-40138, Italy.
Muhammad Khademul BasharDepartment of Surgical Oncology, National Institute of Cancer Research and Hospital, Dhaka 1212, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preoperative histopathology is key for guiding the extent of surgical management in endometrial carcinoma (EC). However, the concordance between preoperative endometrial curettage and final histopathology is unclear in low- and middle-income countries. The present pilot study aimed to evaluate the accuracy of preoperative curettage in a Bangladeshi referral center and compare the results with data from middle- and high-income settings. The present cross-sectional study was performed at a single tertiary center (Department of Gynecological Oncology, National Institute of Cancer Research and Hospital; Dhaka, Bangladesh) to assess agreement between preoperative endometrial curettage and final surgical histopathology for histological subtype and International Federation of Gynecology and Obstetrics (FIGO) grade. Diagnostic performance metrics (sensitivity, specificity, positive and negative predictive values) and Cohen's κ were calculated. A total of 48 patients with EC were included. The mean age was 53.77±13.03 years. For endometrioid vs. non-endometrioid classification, sensitivity was 93.9 (31/33; 95% CI 79.8-99.3) and specificity 20.0% (3/15; 95% CI 4.3-48.1). Accuracy for tumor grading was 77.1% for FIGO grade 1 (95% CI 62.7-88.0), 79.2% for grade 2 (95% CI 65.0-89.5) and 93.8% for grade 3 (95% CI 82.8-98.7), yielding an overall κ-value of 0.45 (95% CI 0.21-0.70); 66.7% of presumed grade 1 tumors were ultimately upgraded, underscoring the risk of undertreatment if relying exclusively on preoperative biopsy. Preoperative curettage demonstrated moderate accuracy in predicting final pathology. Given the very small non-endometrioid numbers and only moderate overall agreement, preoperative curettage findings should be interpreted alongside clinical judgment; adjunct modalities (imaging, immunohistochemical markers) may be helpful where available but were not evaluated in the present study. These preliminary single-center estimates from a low-middle income country should be interpreted with caution given the small sample and limited generalizability; larger multicenter studies are warranted.

Indexed as

curettage accuracyendometrial carcinomahistopathological concordancelow-middle-income countrypreoperative diagnosissurgical histopathology

Identifiers

PMID41668713
PMCPMC12884684

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