Unlocking the pandora box of ovarian neoplasm - A histomorphological study

Journal Title: Medpulse International Journal of Pathology - Year 2019, Vol 9, Issue 1

Abstract

Ovarian neoplasms are now the one of the leading causes of cancer related deaths in females involving wide spectrum of clinical, morphological and histopathological diagnosis. Aims and objectives: 1. To determine the age distribution, pattern, frequency of various histological subtypes and the diverse histomorphological spectrum of ovarian tumors. 2. To assess the incidence of benign and malignant neoplasms of ovary. Materials and Methods: This is a cross-sectional study of ovarian neoplasms, undertaken during a period of January 2017 to June 2018 in a tertiary care hospital of Dakshina Kannada district. The tumors were classified according to WHO 2014, after thorough examination of H and E slides. Clinical details were correlated. Results: There were 123cases of ovarian neoplasms comprising of 65% benign, 29.27% malignant and 5.69% borderline tumors. Majority of the cases were primary (97.22%). Most of the lesions were unilateral and cystic in nature. Age range was between 15-85years. Abdominal pain and menstrual irregularities were the common presenting symptoms. Epithelial tumors(72.35%) were the commonest tumors followed by germ cell tumors(19.51%) and sex cord stromal cell tumors(4.87%). Among the epithelial tumors commonest benign tumor was serous cystadenoma (16.26%) and malignant was serous carcinoma (9.75%). Mature cystic teratoma (11.38%) and dysgerminoma (3.25%) were the more frequent germ cell tumors. There was a rare case of primary ovarian precursor B cell lymphoblastic lymphoma in 25year old female involving bilateral ovaries. Conclusion: The prognosis and varying therapeutic strategies of ovarian neoplasms demand an accurate pathological assessment. Therefore histopathology along with clinical correlation remains as the main stay for the diagnosis of ovarian neoplasms, while IHC may aid towards its diagnosis.

Authors and Affiliations

Kirthi Jayadhar, Prajna K Shetty, Meghashree Vishwanath

Keywords

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  • EP ID EP457091
  • DOI 10.26611/105916
  • Views 102
  • Downloads 0

How To Cite

Kirthi Jayadhar, Prajna K Shetty, Meghashree Vishwanath (2019). Unlocking the pandora box of ovarian neoplasm - A histomorphological study. Medpulse International Journal of Pathology, 9(1), 26-32. https://europub.co.uk/articles/-A-457091