A RETROSPECTIVE STUDY OF OVARIAN TUMOURS AMONG PATIENTS ADMITTED IN A TERTIARY CARE HOSPITAL

Abstract

Introduction: Ovarian tumours are a group of neoplasms affecting the ovary and have diverse spectrum of features according to particular tumour entity. Cystic lesions of ovary may be non-neoplastic (physiological) or neoplastic (pathological). Pelvic Ultrasonography is commonly used to detect and distinguish between benign and malignant masses and combined clinical and ultrasonography has increased sensitivity and specicity for diagnosis of tumours. Histopathological examination is the gold standard for distinguishing between benign and malignant tumours. RMI helps in preliminary evaluation of all ovarian masses and assist in reducing mortality and morbidity of patients with ovarian carcinoma. Objective: To evaluate the ovarian masses according to frequency, age wise distribution and correlate clinical and radiological ndings with histopathological diagnosis and to correlate RMI score with histopathological diagnosis. Materials and Methods:It is a retrospective study conducted at Dr. PSIMS & RF from December 2021 to December 2022 and includes 50 cases of ovarian lesions who underwent surgery. Clinical, radiological ndings were collected and RMI score was calculated and correlated with Histopathological analysis. Results : Out of 50 cases, 27 cases were Non- neoplastic lesions and 23 cases were neoplastic. Among 23 Neoplastic lesions, 21 were benign tumours, 2 were Malignant tumours. Maximum number of ovarian masses were reported at 41-50 years (11 non- neoplastic lesions and 8 benign ovarian tumours) followed by 31-40 years of age. The most common non- neoplastic lesion was corpus luteal cyst (32%) and Serous cystadenoma was the commonest benign lesion (30%). The most common presenting complaint was abdominal pain (54%) followed by menstrual disturbances (20%). Combined use of clinical and USG has similar sensitivity as RMI score in differentiating benign and malignant lesions. Conclusion: Histopathological diagnosis plays a major role in diagnosis and sub categorization of ovarian lesions, thereby aiding better clinical outcome. Calculation of RMI is the best method and the most reliable tool for dening subsequent diagnostic, management and therapeutic strategies for benign and malignant ovarian masses.