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 indiv...
Background: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
Background: Adnexal masses are common gynaecological conditions and might be encountered at every st...
AbstractObjectiveTo evaluate the accuracy of the risk of malignancy index (RMI) which combines serum...
Introduction. Risk of Malignancy Index (RMI) is widely studied for prediction of malignant pelvic ma...
Background: Risk of malignancy index (RMI) is widely employed in the developed world in predicting m...
Background and Objective: The discrimination between benign and malignant adnexal masses is importan...
Objective:To calculate the optimal cut-off point for the risk of malignancy index (RMI) ...
BACKGROUND: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative charac...
Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to pl...
Background: Ovarian tumour usually presents as adnexal mass but often it is difficult to differentia...
Background: Ovarian cancer possesses a challenge to screening tests due to its anatomical location, ...
Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to pl...
Background: Preoperative discrimination between benign and malignant ovarian neoplasm is necessary t...
Background: Ovarian carcinoma is a silent killer because it presents in advanced stage. In India, it...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Background: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
Background: Adnexal masses are common gynaecological conditions and might be encountered at every st...
AbstractObjectiveTo evaluate the accuracy of the risk of malignancy index (RMI) which combines serum...
Introduction. Risk of Malignancy Index (RMI) is widely studied for prediction of malignant pelvic ma...
Background: Risk of malignancy index (RMI) is widely employed in the developed world in predicting m...
Background and Objective: The discrimination between benign and malignant adnexal masses is importan...
Objective:To calculate the optimal cut-off point for the risk of malignancy index (RMI) ...
BACKGROUND: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative charac...
Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to pl...
Background: Ovarian tumour usually presents as adnexal mass but often it is difficult to differentia...
Background: Ovarian cancer possesses a challenge to screening tests due to its anatomical location, ...
Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to pl...
Background: Preoperative discrimination between benign and malignant ovarian neoplasm is necessary t...
Background: Ovarian carcinoma is a silent killer because it presents in advanced stage. In India, it...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Background: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
Background: Adnexal masses are common gynaecological conditions and might be encountered at every st...
AbstractObjectiveTo evaluate the accuracy of the risk of malignancy index (RMI) which combines serum...