Issues and Challenges in Diagnoses of Borderline Ovarian Neoplasms by Frozen Section

Introduction: Frozen section is a rapid intraoperative method of tissue sectioning with the help of cryostat to arrive at a diagnosis and guide the operative procedure. It is an important diagnostic tool in the intraoperative management of ovarian neoplasms. Aims and Objectives: 1) To evaluate clin...

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Main Authors: Usha Sarma, Navanita Das, Neeharika Phukan
Format: Article
Language:English
Published: West Asia Organization for Cancer Prevention 2023-04-01
Series:Asian Pacific Journal of Cancer Biology
Subjects:
Online Access:http://www.waocp.com/journal/index.php/apjcb/article/view/1056
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author Usha Sarma
Navanita Das
Neeharika Phukan
author_facet Usha Sarma
Navanita Das
Neeharika Phukan
author_sort Usha Sarma
collection DOAJ
description Introduction: Frozen section is a rapid intraoperative method of tissue sectioning with the help of cryostat to arrive at a diagnosis and guide the operative procedure. It is an important diagnostic tool in the intraoperative management of ovarian neoplasms. Aims and Objectives: 1) To evaluate clinically suspected ovarian neoplastic lesions by frozen section. 2) To analyze the factors associated with difficulty in diagnoses of borderline ovarian neoplasms. Materials and Methods: This is a cross-sectional study conducted in the Department of Pathology for a period of 2 years. 60 cases of ovarian neoplasms undergoing Frozen section and subsequent histopathological examination are included in the study. Results: The mean age of patient is 39.49 years (21-72). Of the 60 cases, 73.33% are benign, 8.33% borderline and 18.3% are malignant on histopathological diagnosis. The concordance rate of frozen section with histopathological diagnosis is 91.67%. The sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of Frozen section in the diagnosis of Benign, Borderline and Malignant ovarian neoplasms are 95.45%, 92.73%, 97.67%, 88.24% and 88.64%; 100%, 92.16%, 55.56%, 100% and 55.56%; 72.73%, 100%, 100%, 94.23% and 72.73% respectively. Conclusion: Frozen section of ovarian neoplasms helps to arrive at a diagnosis of whether they are benign or malignant with a high level of accuracy. Diagnosis of a benign lesion in a young patient guides the surgeon to a fertility conserving surgery. Likewise, diagnosis of a malignant lesion on table guides the surgeon to execute an extensive surgery in a single setting, saving the patient of the physical, emotional, psychological and financial strain of a second look operation.
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spelling doaj.art-5500069d573341d2a6b0f4da1f8bb52a2024-01-30T09:39:46ZengWest Asia Organization for Cancer PreventionAsian Pacific Journal of Cancer Biology2538-46352023-04-0181394410.31557/apjcb.2023.8.1.39-441056Issues and Challenges in Diagnoses of Borderline Ovarian Neoplasms by Frozen SectionUsha Sarma0Navanita Das1Neeharika Phukan2Professor of Pathology, Gauhati Medical College and Hospital, India.Professor of Pathology, Faakhruddin Ali Ahmed Medical College and Hospital, India.Post Graduate Trainee, Pathology, Gauhati Medical College and Hospital, India.Introduction: Frozen section is a rapid intraoperative method of tissue sectioning with the help of cryostat to arrive at a diagnosis and guide the operative procedure. It is an important diagnostic tool in the intraoperative management of ovarian neoplasms. Aims and Objectives: 1) To evaluate clinically suspected ovarian neoplastic lesions by frozen section. 2) To analyze the factors associated with difficulty in diagnoses of borderline ovarian neoplasms. Materials and Methods: This is a cross-sectional study conducted in the Department of Pathology for a period of 2 years. 60 cases of ovarian neoplasms undergoing Frozen section and subsequent histopathological examination are included in the study. Results: The mean age of patient is 39.49 years (21-72). Of the 60 cases, 73.33% are benign, 8.33% borderline and 18.3% are malignant on histopathological diagnosis. The concordance rate of frozen section with histopathological diagnosis is 91.67%. The sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of Frozen section in the diagnosis of Benign, Borderline and Malignant ovarian neoplasms are 95.45%, 92.73%, 97.67%, 88.24% and 88.64%; 100%, 92.16%, 55.56%, 100% and 55.56%; 72.73%, 100%, 100%, 94.23% and 72.73% respectively. Conclusion: Frozen section of ovarian neoplasms helps to arrive at a diagnosis of whether they are benign or malignant with a high level of accuracy. Diagnosis of a benign lesion in a young patient guides the surgeon to a fertility conserving surgery. Likewise, diagnosis of a malignant lesion on table guides the surgeon to execute an extensive surgery in a single setting, saving the patient of the physical, emotional, psychological and financial strain of a second look operation.http://www.waocp.com/journal/index.php/apjcb/article/view/1056frozen sectionhistopathologyovarian neoplasms
spellingShingle Usha Sarma
Navanita Das
Neeharika Phukan
Issues and Challenges in Diagnoses of Borderline Ovarian Neoplasms by Frozen Section
Asian Pacific Journal of Cancer Biology
frozen section
histopathology
ovarian neoplasms
title Issues and Challenges in Diagnoses of Borderline Ovarian Neoplasms by Frozen Section
title_full Issues and Challenges in Diagnoses of Borderline Ovarian Neoplasms by Frozen Section
title_fullStr Issues and Challenges in Diagnoses of Borderline Ovarian Neoplasms by Frozen Section
title_full_unstemmed Issues and Challenges in Diagnoses of Borderline Ovarian Neoplasms by Frozen Section
title_short Issues and Challenges in Diagnoses of Borderline Ovarian Neoplasms by Frozen Section
title_sort issues and challenges in diagnoses of borderline ovarian neoplasms by frozen section
topic frozen section
histopathology
ovarian neoplasms
url http://www.waocp.com/journal/index.php/apjcb/article/view/1056
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AT neeharikaphukan issuesandchallengesindiagnosesofborderlineovarianneoplasmsbyfrozensection