A Case of Meig’s Syndrome Mimicking Ovarian Malignancy: A Diagnostic Challenge

Authors

  • Göksu Göç Ankara University School of Medicine Departments of Obstetrics and Gynecology, Ankara
  • Korhan Kahraman Ankara University School of Medicine Departments of Obstetrics and Gynecology, Ankara
  • Salih Taşkın Ankara University School of Medicine Departments of Obstetrics and Gynecology, Ankara
  • Evren Koçbulut Ankara University School of Medicine Departments of Obstetrics and Gynecology, Ankara
  • Fırat Ortaç Ankara University School of Medicine Departments of Obstetrics and Gynecology, Ankara

Keywords:

Meig’s syndrome, Ovarian malignancy, Frozen section, Thecoma

Abstract

Ovarian malignancies, especially in advanced stages, are typically presented by ascites and elevated serum Ca-125 levels. Rarely pleural effusion could be seen in these cases due to metastasis or diaphragmatic transportation. Meig’s syndrome defines coexistence of a benign ovarian tumor (fibroma, tecoma or granulose cell tumor), ascites and hydrothorax. In this report, a case of postmenauposal adnexial
mass with acute ascites and elevated serum Ca-125 level, that was suspicious for an adnexial malignancy preoperatively. Intraoperative frozen section analysis revealed ovarian tecoma. Meig’s syndrome is a benign pathology that mimicks ovarian malignancy. Differential diagnosis of these two situations is a diagnostic challenge especially in postmenauposal women. Intraoperative frozen section is an
important diagnostic method for accurate diagnosis and proper treatment.

Downloads

Download data is not yet available.

Downloads

Published

2012-08-06

How to Cite

1.
Göç G, Kahraman K, Taşkın S, Koçbulut E, Ortaç F. A Case of Meig’s Syndrome Mimicking Ovarian Malignancy: A Diagnostic Challenge. Gynecol Obstet Reprod Med [Internet]. 2012Aug.6 [cited 2024Nov.25];18(2):104-5. Available from: https://gorm.com.tr/index.php/GORM/article/view/254

Issue

Vol. 18 No. 2 (2012)

Section

Case Reports

License

CC BY

All the articles published in GORM are licensed with "Creative Commons Attribution 4.0 License (CC BY 4.0)". This license entitles all parties to copy, share and redistribute all the articles, data sets, figures and supplementary files published in this journal in data mining, search engines, web sites, blogs and other digital platforms under the condition of providing references.