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Title

Agreement between endometrial sampling techniques in identifying pathological categories among high-risk women

 

Authors

Towhida Nazneen1, Shirin Akter Begum2, Mehriban Amatullah3,*, Samina Sultana4, Sharmeen Mahmood3 & Farzana Sharmin3

 

Affiliation

1Department of Gyneclogical Oncology, National Institute of Cancer Research and Hospital, Dhaka, Bangladesh; 2Department of Gynecological Oncology, Bangladesh Medical University, Dhaka, Bangladesh; 3Department of Obstetrics and Gynecology, Bangladesh Medical University, Dhaka, Bangladesh; 4Department of Gyneclogical Oncology, Dhaka Medical College and Hospital, Dhaka, Bangladesh; *Corresponding author

 

Email

Towhida Nazneen - E-mail: towhidateena@gmail.com

Shirin Akter Begum - E-mail: shirin.bsmmu@gmail.com

Mehriban Amatullah - E-mail: amatullah.mehriban@bsmmu.edu.bd

Samina Sultana - E-mail: dr.saminasultana1973@gmail.com

Sharmeen Mahmood - E-mail: dr.sharmeenmahmood30@bsmmu.edu.bd

Farzana Sharmin - E-mail: shuvrabsmmu@gmail.com

 

Article Type

Research Article

 

Date

Received July 1, 2026; Revised July 31, 2026; Accepted July 31, 2026, Published July 31, 2026

 

Abstract

Endometrial carcinoma is common in peri- and post-menopausal women and early diagnosis is crucial for improved outcomes. Therefore, it is of interest to compare the endometrial suction kits with fractional curettage in 84 high-risk women aged 40–70 years. Both methods detected carcinoma equally (11.9%), though curettage identified more polyps and had fewer inadequate samples than suction kits. A substantial agreement (kappa=0.623, p=0.001) indicates that suction kits are a reliable, minimally invasive diagnostic alternative. Thus, data shows the clinical use of endometrial suction kits as an effective, less invasive alternative to curettage with comparable diagnostic reliability.

 

Keywords

Endometrial cancer, endometrial biopsy, suction curettage, hyperplasia, diagnostic agreement

 

Citation

Nazneen et al. Bioinformation 22(7): 4274-4278 (2026)

 

Edited by

Ritik Kashwani

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.