The pattern of ovarian masses

The pattern of ovarian masses

Authors

  • Fatima Zahra

DOI:

https://doi.org/10.21649/akemu.v12i4.930

Keywords:

Genital Diseases, Female. Ovarian Diseases. Ovarian Cysts. Ovarian Neoplasms. Teratoma. CA-125 Antigen. Adnexal Diseases. Dermoid Cyst. Ovary.

Abstract

Objective: To find out the frequency of different types of ovarian masses and study their different characteristics. Setting: Obstetric and Gynaecology Department, Federal Govemment Services Hospital (FGSH), Islamabad. Duration: 1° January 2004 to 31st` December 2005 (2 years) Sample size: 100 patients with ovarian masses. Sampling technique: non-probability convenience. Study design: Descriptive Study. Data collection: Patients presenting with an ovarian mass from January 1. 2004 to December 31, 2005 according to inclusion criteria underwent laparotomy after taking informed consent. The histopathology of 100 patients were of an ovarian tumour. Data analysis: Results were analyzed by SPSS version 10.0. Results: An overall number of 100 patients were seen with an ovarian mass at FGSH, Islamabad in the years 2004 and 2005. Benign masses were 78% and 22% were malignant. The histological types of ovarian tumours were Epithelial tumours 66(66%), Physiological Cysts 16(16%), Germ Cell Tumours 13(13%), Endometriotic Cysts 3(3%), Sex Cord Stromal Tumours 1(1%), Metastatic Tumours1(1%). Patients ranged from 10 to 80 years with maximum number of patients in the reproductive age. Maximum number of patients presented with the complaint of abdominal pain. Parity distribution was nullipara 37(37%) and multipara 63(63%). Conclusion: There is a 22% risk of malignancy in patients presenting with an ovarian mass. All patients of any age especially women in the reproductive age presenting with abdominal pain should be carefully evaluated for an ovarian tumour.

Downloads

Published

04/04/2016

How to Cite

Zahra, F. (2016). The pattern of ovarian masses. Annals of King Edward Medical University, 12(4). https://doi.org/10.21649/akemu.v12i4.930

Issue

Section

Articles

Most read articles by the same author(s)

Similar Articles

> >> 

You may also start an advanced similarity search for this article.

Loading...