CORELATION OF ROMA ALGORITHM TO PATHOLOGICAL CHARACTERISTICS AND THE STAGES OF DISEASE IN OVARIAN CANCER
Ovarian cancer is highly mortality in the gynecological cancers, accounting for 15-20% cancers of the female reproductive tract. Patients with primary ovarian cancer have often detected at later stages. Risk of Ovarian Malignancy Algorithm (ROMA) is used for the purpose of assessing the risk of malignancy for choosing appropriate treatments in ovarian tumors. Howerver, the objective of this study was to examine the correlation of ROMA index with pathological characteristics and the stage of disease in patients with ovarian cancer. The crossing describes study conducted in 34 patients with ovarian cancer at Hue Central Hospital during 31 months. Results showed that average age of ovarian cancer was 51.32 ± 12.51; 64.7% of cases were postmenopausal. Tumor size common was 5-10cm (50%). Ovarian serous carcinoma is the highest percentage (55.9%). Ovarian cancer is often detected at stage III (64.7%) according to the TNM and FIGO classification. The average concentration of CA125 and HE4 increases with stage of disease. ROMA had a sensitivity index higher among postmenopausal patients (95%). We conclude that ROMA index significantly correlated with stages of disease according to the FIGO (r=0,358; p<0,05) and TNM (r=0,345; p<0,05) classification, inversely correlated with histological grades and no correlation with tumor size in ovarian cancer. Key words: ovarian cancer, ROMA, histological grade, disease stage