A cross-sectional study approach towards management of ovarian tumour by frozen section at laparotomy and assessing its validity by gold standards of histopathology

Author:

Garapati JyotsnaORCID,Jajoo Shubhada

Abstract

Background Ovarian tumours represent a complex clinical challenge, requiring accurate diagnosis to guide appropriate surgical management. This study protocol outlines a cross-sectional investigation to evaluate the diagnostic accuracy of frozen section analysis during laparotomy for ovarian tumours, comparing it with the gold standard of histopathology. Methods The study will be conducted over two years (2022-2024) at the Department of Obstetrics and Gynaecology, Acharya Vinoba Bhave Rural Hospital (AVBRH), Wardha, India. Fifty eligible patients with ovarian masses will be included, with data collected through comprehensive demographic and clinical assessments, ultrasonography, and computed tomography scans. Frozen section analysis will be performed during staging laparotomy, and diagnoses will be compared with final paraffin-embedded histopathological results. Statistical analyses will be conducted to assess diagnostic accuracy, including sensitivity, specificity, positive predictive value, and negative predictive value. Expected outcomes The study aims to provide insights into the effectiveness of frozen section analysis as a real-time diagnostic tool for ovarian tumours, with implications for surgical decision-making. The results will be presented in peer-reviewed journals and conferences, enhancing clinical practice in gynecologic oncology.

Publisher

F1000 Research Ltd

Reference10 articles.

1. Frozen section diagnosis of borderline ovarian tumors with suspicious features of invasive cancer is a devil’s dilemma for the surgeon: A systematic review and meta-analysis.;K De Decker;Acta Obstet. Gynecol. Scand.,2021

2. Diagnosis, Treatment, and Follow-Up of Borderline Ovarian Tumors.;D Fischerova;Oncologist.,2012

3. Accuracy of frozen section diagnosis: an analysis of 1695 consecutive cases.;F Farah-Klibi;Tunis. Med.,2008

4. Histomorphological Spectrum of Ovarian Tumors with Immunohistochemical Analysis of Poorly or Undifferentiated Malignancies.;F Danish;Gomal. J. Med. Sci.,2012

5. Accuracy of intraoperative frozen section in the diagnosis of ovarian tumours.;V Wootipoom;J. Med. Assoc. Thail. Chotmaihet Thangphaet.,2006

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3