Role of Frozen Section in the Diagnosis of Ovarian Masses: An Institutional Experience

Background: A pre-operative diagnosis of the nature of ovarian tumors is not always reliable. Frozen section is a valuable diagnostic tool in rapid intraoperative categorization of ovarian masses and thereby helps in planning the surgical management. Objective: To categorize ovarian neoplasms into...

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Main Authors: Madhusmita Jena, Sneha Burela
Format: Article
Language:English
Published: ADICHUNCHANAGIRI INSTITUTE OF MEDICAL SCIENCES 2017-03-01
Series:Journal of Medical Sciences and Health
Subjects:
Online Access:http://www.jmsh.ac.in/index.php?option=com_k2&view=item&id=67:role-of-frozen-section-in-the-diagnosis-of-ovarian-masses-an-institutional-experience&Itemid=78
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author Madhusmita Jena
Sneha Burela
author_facet Madhusmita Jena
Sneha Burela
author_sort Madhusmita Jena
collection DOAJ
description Background: A pre-operative diagnosis of the nature of ovarian tumors is not always reliable. Frozen section is a valuable diagnostic tool in rapid intraoperative categorization of ovarian masses and thereby helps in planning the surgical management. Objective: To categorize ovarian neoplasms into benign, borderline and malignant on frozen sections. To determine the accuracy of the frozen diagnosis by comparing with that of the paraffin hematoxylin and eosin stained sections. Materials and Methods: Frozen sections on 49 clinically and radiologically diagnosed as ovarian tumors were compared with final histopathogic diagnosis over a period from September 2013 to July 2016 in the Department of Pathology. Results: Frozen section diagnosis of 49 ovarian specimens, showed 31 (63.2%) benign tumors, 11 (22.4%) borderline tumors and 7 (14.2%) as malignant tumors. The final histopathologic diagnosis revealed 29 (59%) as benign tumors, 08 (16.3%) as borderline tumors and 11 (24.4%) as malignant tumors. The sensitivity and specificity for benign, borderline and malignant tumors on frozen section were 93.5%, 72.7%, 58.3% and 90%, 100%, 100%, respectively. The positive and the negative predictive value for benign, borderline and malignant tumors were 100%, 100%, 100% and 90%, 92.6%, 88%, respectively. The overall accuracy was (44/49) 89.7%. There were no false-positive cases but 5 cases were false negative on frozen. All the 5 discordant cases were mucinous ovarian neoplasms with mean diameter of 26 cm. Conclusion: With an overall accuracy of 89.7% frozen section is valuable for intraoperative diagnosis of ovarian tumors but has limitations in large mucinous tumors.
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spelling doaj.art-f842d712654042538a514cfc583edae42022-12-22T01:57:34ZengADICHUNCHANAGIRI INSTITUTE OF MEDICAL SCIENCESJournal of Medical Sciences and Health2394-94812394-949X2017-03-01311218Role of Frozen Section in the Diagnosis of Ovarian Masses: An Institutional ExperienceMadhusmita Jena0Sneha Burela1Professor, Department of Pathology, MVJ Medical College and Research Hospital, Bengaluru, Karnataka, IndiaPost-graduate, Department of Pathology, MVJ Medical College and Research Hospital, Bengaluru, Karnataka, IndiaBackground: A pre-operative diagnosis of the nature of ovarian tumors is not always reliable. Frozen section is a valuable diagnostic tool in rapid intraoperative categorization of ovarian masses and thereby helps in planning the surgical management. Objective: To categorize ovarian neoplasms into benign, borderline and malignant on frozen sections. To determine the accuracy of the frozen diagnosis by comparing with that of the paraffin hematoxylin and eosin stained sections. Materials and Methods: Frozen sections on 49 clinically and radiologically diagnosed as ovarian tumors were compared with final histopathogic diagnosis over a period from September 2013 to July 2016 in the Department of Pathology. Results: Frozen section diagnosis of 49 ovarian specimens, showed 31 (63.2%) benign tumors, 11 (22.4%) borderline tumors and 7 (14.2%) as malignant tumors. The final histopathologic diagnosis revealed 29 (59%) as benign tumors, 08 (16.3%) as borderline tumors and 11 (24.4%) as malignant tumors. The sensitivity and specificity for benign, borderline and malignant tumors on frozen section were 93.5%, 72.7%, 58.3% and 90%, 100%, 100%, respectively. The positive and the negative predictive value for benign, borderline and malignant tumors were 100%, 100%, 100% and 90%, 92.6%, 88%, respectively. The overall accuracy was (44/49) 89.7%. There were no false-positive cases but 5 cases were false negative on frozen. All the 5 discordant cases were mucinous ovarian neoplasms with mean diameter of 26 cm. Conclusion: With an overall accuracy of 89.7% frozen section is valuable for intraoperative diagnosis of ovarian tumors but has limitations in large mucinous tumors.http://www.jmsh.ac.in/index.php?option=com_k2&view=item&id=67:role-of-frozen-section-in-the-diagnosis-of-ovarian-masses-an-institutional-experience&Itemid=78accuracy in frozen sectionfrozen section in ovarian neoplasmsintraoperative frozen section of ovarian masses.
spellingShingle Madhusmita Jena
Sneha Burela
Role of Frozen Section in the Diagnosis of Ovarian Masses: An Institutional Experience
Journal of Medical Sciences and Health
accuracy in frozen section
frozen section in ovarian neoplasms
intraoperative frozen section of ovarian masses.
title Role of Frozen Section in the Diagnosis of Ovarian Masses: An Institutional Experience
title_full Role of Frozen Section in the Diagnosis of Ovarian Masses: An Institutional Experience
title_fullStr Role of Frozen Section in the Diagnosis of Ovarian Masses: An Institutional Experience
title_full_unstemmed Role of Frozen Section in the Diagnosis of Ovarian Masses: An Institutional Experience
title_short Role of Frozen Section in the Diagnosis of Ovarian Masses: An Institutional Experience
title_sort role of frozen section in the diagnosis of ovarian masses an institutional experience
topic accuracy in frozen section
frozen section in ovarian neoplasms
intraoperative frozen section of ovarian masses.
url http://www.jmsh.ac.in/index.php?option=com_k2&view=item&id=67:role-of-frozen-section-in-the-diagnosis-of-ovarian-masses-an-institutional-experience&Itemid=78
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