Title

HPV self-sampling and physician-collected sampling for detection of precancerous lesions of the cervix

Authors

Jannatul Ferdous^1,*, M.S.T. Jakanta Faika², Noor-E-Ferdous¹, Farzana Sharmin¹, Sayeda Fatema Khatun¹, Monowara Begum¹, Latifa Akhter¹ & Jawad Khan³

Affiliation

¹Department of Gynaecological Oncology, Bangladesh Medical University, Dhaka, Bangladesh; ²Department of Gynaecological Oncology, National Institute of Cancer Research & Hospital (NICRH), Dhaka, Bangladesh; ³Department of Biomedical Engineering, Post Masters Independent Researcher, Chart Industries, USA; *Corresponding author

Email

Jannatul Ferdous - E-mail: jannat@bsmmu.edu.bd
MST Jakanta Faika - E-mail: jakanta209@gmail.com
Noor-E-Ferdous - E-mail: nooreferdous@bsmmu.edu.bd
Farzana Sharmin - E-mail: farzanasharmin@BMU.edu.bd
Sayeda Fatema Khatun - E-mail: fatema121269@gmail.com
Monowara Begum - E-mail: monowara1976@BMU.edu.bd
Latifa Akhter - E-mail: latifaakhterd@BMU.edu.bd
Jawad Khan - E-mail: jkhan008@ucr.edu

Article Type

Research Article

Date

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

Abstract

Collection of samples plays a pivotal role in detection of precancerous lesion. Hence, comparative study was done on 95 women to assess the performance of self-collected vaginal samples versus physician-collected cervical samples for HPV detection. HPV positivity was similar between self- (14.7%) and physician-collected samples (15.8%), with comparable genotype distributions. Physician sampling detected more cervical intraepithelial neoplasia (CIN) lesions and showed higher sensitivity, whereas self-sampling demonstrated better specificity and similar overall accuracy. There was significant difference between both the parameters. Thus, physician-collected cervical sample is better than self-collected vaginal samples.

Keywords

HPV testing, HPV self-sampling, clinician sampling, high-risk HPV, physician sampling.

Citation

Ferdous et al. Bioinformation 22(3): 1597-1601 (2026)

Edited by

Rashmi Laddha

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.