COMPARISION OF RMI (RISK OF MALIGNANCY INDEX), ROMA (RISK OF OVARIAN MALIGNANCY ALGORITHM) AND R-OPS (RAJAVITHI OVARIAN CANCER PREDICTION SCORE) ALGORITHMS IN PREDICTION OF OVARIAN MALIGNANCY IN ADNEXAL MASS

DR. SUSHMA RACHEL S; DR. NAGARATHNA GOPALA; DR. ROHANCHANDRA R GATTY

Volume : VIII, Issue : XII, December - 2019

COMPARISION OF RMI (RISK OF MALIGNANCY INDEX), ROMA (RISK OF OVARIAN MALIGNANCY ALGORITHM) AND R-OPS (RAJAVITHI OVARIAN CANCER PREDICTION SCORE) ALGORITHMS IN PREDICTION OF OVARIAN MALIGNANCY IN ADNEXAL MASS

Dr. Sushma Rachel S, Dr. Nagarathna Gopala, Dr. Rohanchandra R Gatty

Abstract :

BACKGROUND: Ovarian cancer is the most common gynecological cancer associated with increased mortality. Early diagnosis is the important factor in improving the survival rate. OBJECTIVE: To evaluate and compare the performance of RMI, ROMA and R–OPS. METHODS: A validation study was conducted where 60 patients with adnexal mass who were planned to undergo surgery were included. Preoperatively, RMI and ROMA and R–OPS were calculated. The diagnostic performance of each was assessed and compared. RESULTS: 60% had benign mass, 10% had borderline neoplasia and 30% had malignant lesion. In the premenopausal group, RMI had a superior performance with a sensitivity of 75%. In postmenopausal group, R–OPS had a better performance followed by ROMA. CONCLUSION: As a diagnostic tool, an algorithm combining ultrasound imaging and both the serum markers CA125 and HE4 would be more accurate in prediction of malignancy in ovarian mass