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Scholars Journal of Applied Medical Sciences | Volume-5 | Issue-01
Clinicopathological Features of Ovarian Tumours- A Prospective Observational Study
Dr. Vinu Choudhary, Dr. Mrityunjay C. Metgud
Published: Jan. 30, 2017 | 81 60
DOI: 10.36347/sjams.2017.v05i01.043
Pages: 216-224
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Abstract
Information from developing countries regarding clinicopathological features for ovarian tumours is lacking. Influence of menarche, menopause, nulliparity, mean age of presentation and type of tumour needs to be identified. This will help develop an analysis for clinicopathological features of ovarian tumour. This was a prospective observational study conducted from 1 January 2014 to 31 August 2015 at KLE’s Dr. Prabhakar Kore Hospital and Medical Research Centre, Belgaum which included 119 patients satisfying the inclusion criteria. Incidence of ovarian tumour and clinicopathological features of ovarian tumours was studied. Percentage distribution of clinical and pathological features of ovarian tumours was studied. The incidence of ovarian tumours at KLE’s Dr. Prabhakar Kore Hospital and Medical Research Centre from 1 January 2014 to 31 August 2015 was found to be 6.9% of all gynaecological admissions. In a study of 119 women 92.43% of women presented with pain per abdomen, 83% of women were multiparous. Only 17.64% of women were post menopausal. Amongst 101 patients whose HPR was available, 14 patients had malignant lesions on HPR. The commonest benign lesion was serous cystadenoma followed by simple cyst and the commonest malignant lesion being papillary adenocarcinoma. The sensitivity and specificity of CA 125 in detecting malignant lesions among 70 patients was 70% and 85% respectively. The sensitivity and specificity of RMI in comparison to HPR in 68 patients was found to be 66.6% and 94.64% respectively. Thus, it is concluded that on morphological grounds, tumours originating from surface epithelium are the commonest variant and various modalities will help in early detection of malignant lesions of ovary thereby, reducing the mortality rates.