The Evaluation of Intra-Operative Frozen Section Diagnosis Accuracy of Ovarian Tumors; Old Fashioned Not Out of Fashion

Document Type : Research Articles

Authors

1 Department of Obstetrics and Gynecology, Bhumibol Adulyadej Hospital, Royal Thai Air Force, Bangkok, Thailand.

2 Gynecologic Oncology Unit, Department of Obstetrics and Gynecology, Faculty of Medicine, Thammasat University, Bangkok, Thailand.

Abstract

Background: The accuracy of intra-operative decision in confirming ovarian tumor malignancy during the operation is vital. Frozen sections are an important intra-operative tool to determine the provisional diagnosis and appropriate treatment of a tumor. Study design: All records of diagnosed ovarian tumor patients who underwent exploratory laparotomy with intra-operative frozen sections request at Bhumibol Adulyadej Hospital (BAH) between January 2016 and June 2018 were reviewed. Main outcome measures: Accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of intra-operative frozen and permanent sections were evaluated. Result: A total of 150 cases were recruited in this study. The mean age was 45.4 years. The number of benign, borderline and malignant ovarian tumors in this study were 97, 9 and 44 cases, respectively. The overall accuracy was 93.3%. Percentage of accuracy, sensitivity, specificity, PPV and NPV for benign, borderline and malignancy were 98.0/94.7/94.0, 100/88.9/79.6, 94.3/95.0/100, 97.0/55.3/100 and 100/99.3/92.2, respectively. Conclusion: The frozen section results yielded accurate diagnosis for rapid intraoperative evaluation of ovarian tumors. Its high accuracy allows for an appropriate surgical plan to be made in a timely manner. Large sizes and suspected mucinous borderline ovarian tumors reduced accuracy factors of frozen sections.

Keywords

Asian Pacific Journal of Cancer Prevention
Volume 20, Issue 12
December 2019
Pages 3697-3701

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History

  • Receive Date: 25 July 2019
  • Revise Date: 04 November 2019
  • Accept Date: 01 December 2019

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