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Accuracy of intraoperative frozen section for the evaluation of ovarian neoplasms: an institutional experience

BACKGROUND: Ovarian neoplasms are a heterogeneous group of tumors including surface epithelial, germ cell and sex cord stromal tumors with a subset having low malignant potential (borderline tumors). While the surgical management plan differs in different categories of tumors, preoperative diagnosis...

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Autores principales: Hashmi, Atif Ali, Naz, Samreen, Edhi, Muhammad Muzzammil, Faridi, Naveen, Hussain, Syed Danish, Mumtaz, Shazia, Khan, Mehmood
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815136/
https://www.ncbi.nlm.nih.gov/pubmed/27029917
http://dx.doi.org/10.1186/s12957-016-0849-x
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author Hashmi, Atif Ali
Naz, Samreen
Edhi, Muhammad Muzzammil
Faridi, Naveen
Hussain, Syed Danish
Mumtaz, Shazia
Khan, Mehmood
author_facet Hashmi, Atif Ali
Naz, Samreen
Edhi, Muhammad Muzzammil
Faridi, Naveen
Hussain, Syed Danish
Mumtaz, Shazia
Khan, Mehmood
author_sort Hashmi, Atif Ali
collection PubMed
description BACKGROUND: Ovarian neoplasms are a heterogeneous group of tumors including surface epithelial, germ cell and sex cord stromal tumors with a subset having low malignant potential (borderline tumors). While the surgical management plan differs in different categories of tumors, preoperative diagnosis is seldom available. In these circumstances, the role of frozen section becomes invaluable. In the current study, we aimed to evaluate the accuracy of the frozen section of ovarian tumors in our setup. METHODS: It was a retrospective study involving 141 cases of ovarian tumors undergoing surgical resection with frozen section evaluation from January 2009 to December 2014. After gross examination, one to five blocks were prepared on the frozen section depending upon the size of the specimen. After frozen section reporting, specimens were processed routinely for final paraffin section evaluation. Results of frozen and paraffin sections were categorized in benign, borderline, and malignant, and accuracy of frozen section was determined. RESULTS: Out of 141 cases, 107 were diagnosed as benign on final (paraffin) examination, while 6 were borderline and 28 were malignant. Out of 107 benign cases, 45 were non-neoplastic cystic lesions of the ovary including endometriotic, follicular, and corpus luteal cysts. The most common benign neoplastic tumor was mature cystic teratoma (20 cases) followed by mucinous cystadenoma (19 cases), serous cystadenoma (14 cases), sex cord stromal tumors (8 cases), and Brenner tumor (1 case). Among borderline cases, four cases were serous and two of mucinous neoplasms. The most common malignant neoplasm was serous carcinoma (11 cases) followed by mucinous carcinoma (6 cases). The overall accuracy of frozen section diagnosis is above 99 %. The sensitivity and specificity for benign tumors were found to be 100 and 97 %, respectively. The sensitivity and specificity for borderline tumors was 83 and 99 %, respectively, while for malignant tumors, it was 96 and 100 %, respectively. CONCLUSIONS: We found a high sensitivity and specificity of frozen section for the diagnosis of ovarian tumors and to determine its malignant potential. Therefore, it should always be used when the preoperative diagnosis is not definite to govern extent of surgical resection. However, under-diagnosis can occur in tumors of borderline category which can be minimized by increased sampling on the frozen section.
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spelling pubmed-48151362016-04-01 Accuracy of intraoperative frozen section for the evaluation of ovarian neoplasms: an institutional experience Hashmi, Atif Ali Naz, Samreen Edhi, Muhammad Muzzammil Faridi, Naveen Hussain, Syed Danish Mumtaz, Shazia Khan, Mehmood World J Surg Oncol Research BACKGROUND: Ovarian neoplasms are a heterogeneous group of tumors including surface epithelial, germ cell and sex cord stromal tumors with a subset having low malignant potential (borderline tumors). While the surgical management plan differs in different categories of tumors, preoperative diagnosis is seldom available. In these circumstances, the role of frozen section becomes invaluable. In the current study, we aimed to evaluate the accuracy of the frozen section of ovarian tumors in our setup. METHODS: It was a retrospective study involving 141 cases of ovarian tumors undergoing surgical resection with frozen section evaluation from January 2009 to December 2014. After gross examination, one to five blocks were prepared on the frozen section depending upon the size of the specimen. After frozen section reporting, specimens were processed routinely for final paraffin section evaluation. Results of frozen and paraffin sections were categorized in benign, borderline, and malignant, and accuracy of frozen section was determined. RESULTS: Out of 141 cases, 107 were diagnosed as benign on final (paraffin) examination, while 6 were borderline and 28 were malignant. Out of 107 benign cases, 45 were non-neoplastic cystic lesions of the ovary including endometriotic, follicular, and corpus luteal cysts. The most common benign neoplastic tumor was mature cystic teratoma (20 cases) followed by mucinous cystadenoma (19 cases), serous cystadenoma (14 cases), sex cord stromal tumors (8 cases), and Brenner tumor (1 case). Among borderline cases, four cases were serous and two of mucinous neoplasms. The most common malignant neoplasm was serous carcinoma (11 cases) followed by mucinous carcinoma (6 cases). The overall accuracy of frozen section diagnosis is above 99 %. The sensitivity and specificity for benign tumors were found to be 100 and 97 %, respectively. The sensitivity and specificity for borderline tumors was 83 and 99 %, respectively, while for malignant tumors, it was 96 and 100 %, respectively. CONCLUSIONS: We found a high sensitivity and specificity of frozen section for the diagnosis of ovarian tumors and to determine its malignant potential. Therefore, it should always be used when the preoperative diagnosis is not definite to govern extent of surgical resection. However, under-diagnosis can occur in tumors of borderline category which can be minimized by increased sampling on the frozen section. BioMed Central 2016-03-31 /pmc/articles/PMC4815136/ /pubmed/27029917 http://dx.doi.org/10.1186/s12957-016-0849-x Text en © Hashmi et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hashmi, Atif Ali
Naz, Samreen
Edhi, Muhammad Muzzammil
Faridi, Naveen
Hussain, Syed Danish
Mumtaz, Shazia
Khan, Mehmood
Accuracy of intraoperative frozen section for the evaluation of ovarian neoplasms: an institutional experience
title Accuracy of intraoperative frozen section for the evaluation of ovarian neoplasms: an institutional experience
title_full Accuracy of intraoperative frozen section for the evaluation of ovarian neoplasms: an institutional experience
title_fullStr Accuracy of intraoperative frozen section for the evaluation of ovarian neoplasms: an institutional experience
title_full_unstemmed Accuracy of intraoperative frozen section for the evaluation of ovarian neoplasms: an institutional experience
title_short Accuracy of intraoperative frozen section for the evaluation of ovarian neoplasms: an institutional experience
title_sort accuracy of intraoperative frozen section for the evaluation of ovarian neoplasms: an institutional experience
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815136/
https://www.ncbi.nlm.nih.gov/pubmed/27029917
http://dx.doi.org/10.1186/s12957-016-0849-x
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