Is Risk Malignancy Index a Useful Tool for Predicting Malignant Ovarian Masses in Developing Countries?
نویسندگان
چکیده
Introduction. Risk of Malignancy Index (RMI) is widely studied for prediction of malignant pelvic masses in Western population. However, little is known regarding its implication in the developing countries. The objective of this study is to determine how accurately the RMI can predict the malignant pelvic masses. Materials and Methods. The study is a retrospective review of patients attending the gynecological clinic between January 2004 and December 2008 with adnexal masses. Information on demographic characteristics, ultrasound findings, menopausal status, CA125, and histopathology was collected. RMI score for each patient in the study group was calculated. Results. The study group included a total of 283 patients. Analysis of the individual parameters of RMI revealed that ultrasound was the best predictor of malignancy with a sensitivity, specificity, and positive likelihood ratio of 78.3%, 81.5%, and 4.2, respectively. At a standard cut-off value of 250, RMI had a positive likelihood ratio of 8.1, while it was 6.8 at a cut-off of 200, albeit with comparable sensitivity and specificity. Conclusion. RMI is a sensitive tool in predicting malignant adnexal masses. A cut-off of 200 may be suitable in developing countries for triaging and early referral to tertiary care centers.
منابع مشابه
P-163: Evaluation of Ovarian Masses in Shahid Sadoughi and Mother Hospital during 2008-2012
Background: Ovarian cancer is the fifth most common cancer in woman and the fifth most frequent cause of cancer death. Ovarian cancers are usually asymptomatic until metastasized, patients have advanced disease at diagnosis in more than 2/3 of the cases. Totally 75-80 % of ovarian masses are benign. The strongest patient related risk factor for ovarian cancer is increasing age. The most ovarian...
متن کاملRisk of malignancy index as an evaluation of preoperative pelvic mass
Background: Risk of malignancy index (RMI) is the best method for discriminating benign and malignant pelvic masses. The aim of this study was to determine the RMI for preoperative evaluation of pelvic mass. Methods: This study was performed on 182 women with adenexal mass referred to Yahyahnejiad Hospital of Babol University of Medical Sciences in Iran from 2007 to 2009.The sensitivity, specif...
متن کاملA prospective study to evaluate the risk malignancy index and its diagnostic implication in patients with suspected ovarian mass
BACKGROUND There is no universal screening method for discrimination between benign and malignant adnexal masses yet. Various authors have tried tumor markers, imaging studies, cytology but no one yet is a definite method for screening of cancer ovary, for which a combined diagnostic modality has come to practice in form of RMI. With this background we conducted our study "Evaluation of risk ma...
متن کاملبررسی مقایسهای نتایج هیستولوژیک و سیتولوژیک در تشخیص تودههای تخمدانی Comparative Study of Histologic & Cytologic Results of Ovarian Masses
Background & Aim: The indications for fine needle aspiration(FNA) cytology of ovarian cysts are controversial. Some authors contend that the procedure is never justified since diagnostic accuracy of the method is low. The others contend that FNA of the ovarial lesion has a useful role in the evaluation of persistant ovarian lesion in the premenopausal women who wish to preserve fertility. T...
متن کاملComparing the Diagnostic Value of the Risk of Ovarian Malignancy Algorithm and CA125 in Patients with Ovarian Mass
Background and purpose: Ovarian cancer is the fourth leading cause of death from gynecological cancers in women. Using specific tumor markers that help in making diagnosis at early stages improve therapeutic outcomes. The purpose of this study was to evaluate the diagnostic value of the Risk of Ovarian Malignancy Algorithm (ROMA) index in patients with ovarian mass. Materials and methods: A cr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 2015 شماره
صفحات -
تاریخ انتشار 2015