AbstractBackgroundThe aim of this study was to validate the risk-of-malignancy index (RMI) incorporating menopausal status, serum CA 125 levels, and imaging findings for discriminating benign from malignant pelvic masses and to evaluate the ability of 4 different RMIs.Patients and MethodsThis is a prospective study of 296 women admitted to the Department of Obstetrics and Gynecology of Kochi Health Sciences Center, between September 2011 and April 2014, for surgical exploration of pelvic masses. The RMI 1, 2, 3, and 4 methods were calculated for all patients together with the sensitivity, specificity, positive predictive value, and negative predictive value.ResultsThe sensitivity of RMIs 1, 2, 3, and 4 was 73.0%, 81.1%, 73.0%, and 77.0%, re...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Background: This study was conducted in department of obstetrics and gynaecology, to know the effici...
BACKGROUND: The discrimination between benign and malignant ovarian tumor is important in consideri...
AbstractBackgroundThe aim of this study was to validate the risk-of-malignancy index (RMI) incorpora...
Objective:To evaluate the ability of four types of the risk of malignancy indices (RMI) based on ser...
Background: Risk of malignancy index (RMI) is widely employed in the developed world in predicting m...
Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to pl...
AbstractObjectiveTo evaluate the accuracy of the risk of malignancy index (RMI) which combines serum...
Background: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
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...
Abstract Background Patients with pelvic mass are the most referred patients to gynecologist. The ai...
Objective: To evaluate the performance of the RMI 4 in discriminating benign from malignant ovarian ...
BACKGROUND: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative charac...
Introduction: Pelvic masses are among most the common causes of patient admission into gynecology cl...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Background: This study was conducted in department of obstetrics and gynaecology, to know the effici...
BACKGROUND: The discrimination between benign and malignant ovarian tumor is important in consideri...
AbstractBackgroundThe aim of this study was to validate the risk-of-malignancy index (RMI) incorpora...
Objective:To evaluate the ability of four types of the risk of malignancy indices (RMI) based on ser...
Background: Risk of malignancy index (RMI) is widely employed in the developed world in predicting m...
Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to pl...
AbstractObjectiveTo evaluate the accuracy of the risk of malignancy index (RMI) which combines serum...
Background: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
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...
Abstract Background Patients with pelvic mass are the most referred patients to gynecologist. The ai...
Objective: To evaluate the performance of the RMI 4 in discriminating benign from malignant ovarian ...
BACKGROUND: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative charac...
Introduction: Pelvic masses are among most the common causes of patient admission into gynecology cl...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Background: This study was conducted in department of obstetrics and gynaecology, to know the effici...
BACKGROUND: The discrimination between benign and malignant ovarian tumor is important in consideri...