Abstract

Background: Ovarian tumors are one of the most common tumors, which occur in female genital tract. Despite the newer techniques in imaging and molecular biology, the diagnosis of ovarian tumors primarily depends on histopathological examination. Ovarian tumors manifests a wide spectrum of clinical, morphological and histological features. The aim of the study was to find the incidence of surface epithelial ovarian tumors in a tertiary referral centre. Materials and methods: A retrospective data of 3 years were collected for surface epithelial ovarian tumors submitted to the pathology department of the tertiary care hospital and analysed. The correlation of these surface epithelial ovarian tumors was done with age, clinical presentation and histomorphological patterns. Non-neoplastic lesions like simple ovarian cysts, tubo-ovarian mass and polycystic ovaries were excluded. Results: A total number of 56 cases were studied. Out of which 44 cases were benign and 12 cases were malignant. Maximum cases were observed between 21 to 30 years. Mass per abdomen was the most common presentation(36%) followed by mass and pain in abdomen(27%).Serous cystadenoma formed maximum 28 cases(50%) followed by Mucinous cystadenoma(16 cases) 28 % , Serous cysadenocarcinoma formed 5cases (9%), followed by Mucinous cystadenocarcinoma 3 cases(5%) & 2 cases each(4%) of clear cell carcinoma and endometrioid carcinoma were noted. The most common histopathological type of benign and malignant tumor was serous cystadenoma (50.2%) and serous cystadenocarcinoma(9%) respectively. Conclusion: In the study majority (78.6%) of the surface epithelial ovarian tumors were benign. Malignancy was seen in (21.4)% of the cases. Surface epithelial tumours present a great challenge to the gynecologic oncologist because non-neoplastic ovarian lesions can form a pelvic mass and potentially mimic a neoplasm. Correct histopathological diagnosis of surface epithelial ovarian tumors is of prime importance in view of their behavioral predictability and clinical correlation for proper management of the patient.

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