A Clinico -Pathological Study of Neoplastic and Non-Neoplastic Ovarian Lesions.

Abstract

Background: Ovarian lesions constitute a complex group with varied clinical behaviour and pathology. The ovaries constitute the internal reproductive organs their lesions can present in childhood to postmenopausal age group Clinical, radiological and gross examination alone cannot distinguish benign from malignant lesions; hence, histopathological examination is needed for their diagnosis and management.
 Objectives: A Clinico -pathological analysis of non-neoplastic and neoplastic ovarian lesions.
 Materials and methods: This descriptive study of one year comprised of 80 ovarian lesions diagnosed in the Department of Pathology, Bhagat Phool Singh Government medical college Sonipat. After thorough gross examination, representative bits were routinely processed and stained with H & E. Tumours were classified as per WHO classification.
 Results: Out of 80 ovarian lesions received, non-neoplastic lesions constituted 39% (31/80). Benign lesions constituted 45% (36/80) whereas borderline and malignant lesions constituted 5% (4/80) and 11.25% (9/80) respectively. Among non-neoplastic lesions, follicular cysts (67.7%) constituted the majority followed by corpus luteal cysts and endometriotic cysts. Among neoplastic lesions majority of the tumours were of surface epithelial type (69.38%) followed by germ cell tumours (18.36%). Bilateral lesions were seen in 17 (26.98%) patients while unilateral lesions were seen in 46 (73.01%) patients. Patients age varied from 16 to 75 years. For non-neoplastic lesions, patient age varied from 16 to 61 years. For neoplastic lesions patient age ranged from 18-75 years with age range of 18-75 years for benign tumours and 26-66 years for malignant tumours. Abnormal uterine bleeding was the commonest clinical presentation of non-neoplastic lesions. Benign and malignant tumours were most commonly associated with pain abdomen.
 Conclusion: Ovarian lesions comprise of variety of non-neoplastic and neoplastic lesions. By knowing clinical data, gross features, we can narrow our differential diagnosis and reach to the final diagnosis. So, early diagnosis and treatment definitely reduce the mortality from ovarian tumours.
 Keywords: Non-neoplastic, Benign, Malignant, Ovary, Lesions, Cysts, Tumours.