RESUMEN
PURPOSE: To investigate the predictive value of the Risk of Malignancy Index (RMI), CA-125, and inflammatory markers in discriminating ovarian cancers (OCs). MATERIALS AND METHODS: The postmenopausal (PM) women (n= 139) with adnexal masses who un- derwent surgery were included. The predictive value of CA-125, RMI (1, 2,3, and 4) and inflammatory markers [neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR)] were calculated in geriatric (G) and non-geriatric women. RESULTS: OCs had significantly increased NLR and PLR. RMI models were highly reliable in PM (Kappa: 0.642-0.715; AUC: 0.907-0.934). CA-125 measurement alone had good accuracy and moderate reliability in PM (kappa: 0.507-0.587), excellent accuracy and moderate reliability in G, NLR, and PLR predicting OCs, showed fair agreement in the PM, while PLR had a moderate agreement with G. CONCLUSION: RMI algorithms were the best models for malignancy prediction. However, the rise of PLR and CA-125 levels in a G population may be used as refer- ring adnexal masses to gynecologic oncologists.
