Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to plan surgery. Risk malignancy index (RMI) is a simple scoring system based on three factors serum CA 125, USG score & menopausal status. The RMI was interpreted as 1) score > 250 = high risk, 2) 25-250 =intermediate risk, 3) score <25 = low risk. The objective of the study was, 1) to evaluate risk malignancy index (RMI) in pre-operatively clinically diagnosed ovarian mass, 2) to compare the validity of individual parameter in RMI i.e. menopausal status, serum CA 125 & USG score with validity of RMI as a comprehensive index .Methods: This was an observational study conducted at department of obstetrics and gynaecology, GMCH Aurang...
Background: Ovarian carcinoma is a silent killer because it presents in advanced stage. In India, it...
AbstractBackgroundThe aim of this study was to validate the risk-of-malignancy index (RMI) incorpora...
Background: An adnexal mass patient is a common cause of hospital admission. The differentiation bet...
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: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
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: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative charac...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Objective:To calculate the optimal cut-off point for the risk of malignancy index (RMI) ...
Background: Ovarian cancer possesses a challenge to screening tests due to its anatomical location, ...
Background and Objective: The discrimination between benign and malignant adnexal masses is importan...
Background: Ovarian tumour usually presents as adnexal mass but often it is difficult to differentia...
BACKGROUND: The discrimination between benign and malignant ovarian tumor is important in consideri...
Background: Ovarian carcinoma is a silent killer because it presents in advanced stage. In India, it...
AbstractBackgroundThe aim of this study was to validate the risk-of-malignancy index (RMI) incorpora...
Background: An adnexal mass patient is a common cause of hospital admission. The differentiation bet...
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: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
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: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative charac...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Objective:To calculate the optimal cut-off point for the risk of malignancy index (RMI) ...
Background: Ovarian cancer possesses a challenge to screening tests due to its anatomical location, ...
Background and Objective: The discrimination between benign and malignant adnexal masses is importan...
Background: Ovarian tumour usually presents as adnexal mass but often it is difficult to differentia...
BACKGROUND: The discrimination between benign and malignant ovarian tumor is important in consideri...
Background: Ovarian carcinoma is a silent killer because it presents in advanced stage. In India, it...
AbstractBackgroundThe aim of this study was to validate the risk-of-malignancy index (RMI) incorpora...
Background: An adnexal mass patient is a common cause of hospital admission. The differentiation bet...