Objective To evaluate the ability of two malignancy risk indices (RMI 1 and Rh4I 2) incorporating menopausal status, serum CA125 level and ultrasound findings, to discriminate a benign from a malignant pelvic mass. Design A retrospective study. Setting Department of Obstetrics and Gynaecology, University of Siena, Italy. Population One hundred and twenty-four women over 30 years of age admitted consecutively between January 1995 and December 1997 for surgical excision of ovarian masses. Main outcome measures The sensitivity, specificity, and positive predictive value of serum CA125, ultrasound findings and menopausal status, separately and combined into the RMI 1 and RMI 2, to diagnose ovarian cancer. Results The RMI 1 and RMI 2 were more a...
Objective: To determine the effectiveness of RMI in identifying cases of potential ovarian malignanc...
Objective:To calculate the optimal cut-off point for the risk of malignancy index (RMI) ...
Abstract Background There is no universal screening method for discrimination between benign and mal...
Objective To evaluate the ability of two malignancy risk indices (RMI 1 and Rh4I 2) incorporating me...
risk of malignancy index (RMI) — in differentiating between benign and borderline or malignant ovari...
BACKGROUND: The discrimination between benign and malignant ovarian tumor is important in consideri...
Objective: To evaluate the accuracy of the risk of malignancy index (RMI) which combines serum CA-12...
Introduction: Pelvic masses are among most the common causes of patient admission into gynecology cl...
Background and Objective: The discrimination between benign and malignant adnexal masses is importan...
Objective:To evaluate the ability of four types of the risk of malignancy indices (RMI) based on ser...
CONTEXT: There is no adequate preoperative method for differentiating between benign and malignant p...
AbstractObjectiveTo evaluate the accuracy of the risk of malignancy index (RMI) which combines serum...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Purpose: The combination of two tumour markers, CA125 and HE4, in the risk of ovarian malignancy ass...
Background: This study was conducted in department of obstetrics and gynaecology, to know the effici...
Objective: To determine the effectiveness of RMI in identifying cases of potential ovarian malignanc...
Objective:To calculate the optimal cut-off point for the risk of malignancy index (RMI) ...
Abstract Background There is no universal screening method for discrimination between benign and mal...
Objective To evaluate the ability of two malignancy risk indices (RMI 1 and Rh4I 2) incorporating me...
risk of malignancy index (RMI) — in differentiating between benign and borderline or malignant ovari...
BACKGROUND: The discrimination between benign and malignant ovarian tumor is important in consideri...
Objective: To evaluate the accuracy of the risk of malignancy index (RMI) which combines serum CA-12...
Introduction: Pelvic masses are among most the common causes of patient admission into gynecology cl...
Background and Objective: The discrimination between benign and malignant adnexal masses is importan...
Objective:To evaluate the ability of four types of the risk of malignancy indices (RMI) based on ser...
CONTEXT: There is no adequate preoperative method for differentiating between benign and malignant p...
AbstractObjectiveTo evaluate the accuracy of the risk of malignancy index (RMI) which combines serum...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Purpose: The combination of two tumour markers, CA125 and HE4, in the risk of ovarian malignancy ass...
Background: This study was conducted in department of obstetrics and gynaecology, to know the effici...
Objective: To determine the effectiveness of RMI in identifying cases of potential ovarian malignanc...
Objective:To calculate the optimal cut-off point for the risk of malignancy index (RMI) ...
Abstract Background There is no universal screening method for discrimination between benign and mal...