Title
Frozen section-Histopathology correlation in gynecologic pathology: A tertiary care centre experience
Authors
Sneha Chaudhary1, Shivanjali Raghuvanshi1,*, Nilam Bhasker2, Shalini Bhalla1, Mamata Dwivedi1, Neeta Verma1, Shruti Singh1 & Nisha Singh3
Affiliation
¹Department of Pathology, King George’s Medical University, Lucknow, Uttar Pradesh, India; 2Department of Pathology, Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India; 3Department of Gynaecological Oncology, King George’s Medical University, Lucknow, Uttar Pradesh-226003, India; *Corresponding author
Sneha Chaudhary - E-mail: snehachaudharylife@gmail.com
Shivanjali Raghuvanshi - E-mail: joyousshivi@gmail.com
Nilam Bhasker - E-mail: nilam2711@gmail.com
Shalini Bhalla - E-mail: shalinibhalla@kgmcindia.edu
Mamata Dwivedi - E-mail: mamta9453@gmail.com
Neeta Verma - E-mail: drneeta04@gmail.com
Shruti Singh - E-mail: shrutisingh.singh44@gmail.com
Nisha Singh - E-mail: nisha.kgmc@gmail.com
Article Type
Research Article
Date
Received July 1, 2026; Revised July 31, 2026; Accepted July 31, 2026, Published July 31, 2026
Abstract
Frozen section (FS) analysis provides rapid intraoperative diagnosis in gynecologic malignancies, aiding surgical management. This retrospective study analysed 124 FS cases from 2020 to 2024 and compared them with final histopathology. Ovarian masses were the most frequent specimens (37.9%), with FS diagnosing 73.4% benign, 2.4% borderline and 24.2% malignant tumours, while final histopathology showed 71% benign and 29% malignant cases. Overall diagnostic concordance was 83.1%, with FS showing 77.8% sensitivity, 94.3% specificity and 89.5% accuracy (κ=0.739, p<0.001). Thus, data shows that frozen section is a reliable intraoperative tool, especially for ovarian tumours, though limitations like tumour heterogeneity should be considered.
Keywords
Frozen section (FS), ovarian tumors, gynaecologic malignancies, histopathology correlation, intraoperative diagnosis, surgical management
Citation
Chaudhary et al. Bioinformation 22(7): 4512-4516 (2026)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
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.
