Abstract

Background: Tumours of the ovary are common forms of neoplasms in women. The pathology of ovarian neoplasms is one of the most complex areas of gynaecology, because the ovary gives rise to the greater and larger variety of tumours than any other organ. While in other organs, tissue of origin is usually clear, tissue from which an ovarian tumour arises is often uncertain and most of the development of the presumptive tissue is often in disparity.
Objectives: To determine the nature of ovarian masses presented to Department of Pathology, CIMS during the last 2 years.
Methodology: The present retrospective record based observational study was conducted by the department of Pathology from March 2022 to May 2022 from the data of the patients from the records from January 2019 to December 2021. All the specimen obtained in the Department of Pathology for Histopathological examination during the study period from the patients diagnosed with ovarian lesion in the hospital were included for the study.
Results: In the present study majority (29%) of them belonged to 30 to 40 years of age, 23% of them were aged less than 20 years. In the present study 65% of them complained of Mass per abdomen, 40% of them had pain in abdomen, 10% had ascites, 9% had menstrual irregularities, 5% had infertility related issues and 5% of them were asymptomatic in nature. The highest incidence of Benign tumor was seen in the age group of 30 to 40 years (32.5%), in the age group of less than 20 years it was 25.9%. The Malignant tumor was found to be more common those aged more than 40 years with 26% of them in 40 to 50 years of age, 21.7% of them in 50 to 60 years of age.
Conclusion: In conclusion, a variety of clinical factors, including the patient's age, presenting symptoms, the location and size of the lump and the histological type of the ovarian tumour, are all connected. All of these clinical and histomorphological characteristics, as well as cutting-edge, more modern diagnostic techniques like immunohistochemistry and morphometric analysis, can aid in early diagnosis, the planning of a course of therapy and prognostic information.