Audit on accuracy of frozen section diagnosis with final histopathological diagnosis in suspected ovarian tumors – A study from a tertiary care center in North India

Background: Ovarian neoplasm is the third most common malignancy in Indian women. intraoperative frozen sections (IFSs) diagnosis carries unique significance as it aids in differentiating benign, borderline, and malignant tumors. It is important to have periodic checks on the accuracy of this technique. Aims and Objectives: To correlate the diagnostic accuracy (DA) of IFS with the final histological diagnosis in suspected ovarian tumors. Materials and Methods: The present study analyzes ovarian tumors submitted in the Department of Pathology, Pt.B. D. Sharma, PGIMS, Rohtak, Haryana, over a period of 8 years from January 2016 to December 2024. A total of 54 cases of ovarian tumors were included in the study design. Correlation between IFS and final histopathological diagnosis was made statistically. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and DA were calculated among subcategories of ovarian tumors. Results: IFS showed 34 benign, 06 borderline, and 14 malignant tumors. Final histopathological diagnosis revealed 19 mucinous and 35 non-mucinous tumors. Concordance was found in 32 benign, 02 borderline, and 14 malignant tumors between IFS and the final diagnosis. Overall DA 91.9% of IFS, including sensitivity, specificity, PPV, and NPV for benign (96.9, 91.6, 94.1, 95.6), borderline (50, 66.6, 50, 66.6), and malignant tumors (82.3, 100, 100, 93), respectively. Conclusion: A periodic audit of frozen section diagnosis is an essential parameter to know the accuracy and possible errors while reporting.

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Publication Details

Journal
Asian Journal of Medical Sciences
Published
2025-12-31
DOI
https://doi.org/10.71152/ajms.v17i1.4960
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
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article

Audit on accuracy of frozen section diagnosis with final histopathological diagnosis in suspected ovarian tumors – A study from a tertiary care center in North India

Nisha Marwah, Rajnish KALRA, Sneh Banwala, Sunita Singh et al.
Asian Journal of Medical Sciences
Ovarian cancer diagnosis and treatment
article

Audit on accuracy of frozen section diagnosis with final histopathological diagnosis in suspected ovarian tumors – A study from a tertiary care center in North India

Nisha Marwah, Rajnish KALRA, Sneh Banwala, Sunita Singh, Sant Pakash Kataria, Richa Pawar, Veena Gupta
article en

Abstract

Background: Ovarian neoplasm is the third most common malignancy in Indian women. intraoperative frozen sections (IFSs) diagnosis carries unique significance as it aids in differentiating benign, borderline, and malignant tumors. It is important to have periodic checks on the accuracy of this technique. Aims and Objectives: To correlate the diagnostic accuracy (DA) of IFS with the final histological diagnosis in suspected ovarian tumors. Materials and Methods: The present study analyzes ovarian tumors submitted in the Department of Pathology, Pt.B. D. Sharma, PGIMS, Rohtak, Haryana, over a period of 8 years from January 2016 to December 2024. A total of 54 cases of ovarian tumors were included in the study design. Correlation between IFS and final histopathological diagnosis was made statistically. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and DA were calculated among subcategories of ovarian tumors. Results: IFS showed 34 benign, 06 borderline, and 14 malignant tumors. Final histopathological diagnosis revealed 19 mucinous and 35 non-mucinous tumors. Concordance was found in 32 benign, 02 borderline, and 14 malignant tumors between IFS and the final diagnosis. Overall DA 91.9% of IFS, including sensitivity, specificity, PPV, and NPV for benign (96.9, 91.6, 94.1, 95.6), borderline (50, 66.6, 50, 66.6), and malignant tumors (82.3, 100, 100, 93), respectively. Conclusion: A periodic audit of frozen section diagnosis is an essential parameter to know the accuracy and possible errors while reporting.

Asian Journal of Medical SciencesVol. 17(1)
Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences (IN)
Good health and well-being
Openalex Percentile: Top 26%
Ovarian cancer diagnosis and treatment
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