OBJECTIVES: To compare the effectiveness of risk of malignancy index 1 and 2 to differentiate between benign and malignant ovarian tumors. METHODOLOGY: CA 125 level was done by ECLIA . In my study based on ultrasound features, menopausal status, and CA 125 levels RMI 1 & RMI 2 scoring is calculated in women above age 40 years with ovarian tumors. Ultrasound findings were scored with one point for each of the following: mutilocular cyst, evidence of solid areas, evidence of metastasis, presence of ascites, bilateral lesions (zero points for women with no abnormality, one point for women with one abnormality, in women with two or more abnormality 3 points given in RMI 1, 4 points given in RMI 2). Menopausal status is graded as follows: pre...
Background: Preoperative discrimination between benign and malignant ovarian neoplasm is necessary t...
Objective: To determine the effectiveness of RMI in identifying cases of potential ovarian malignanc...
Objective: To evaluate the performance of the RMI 4 in discriminating benign from malignant ovarian ...
Background: This study was conducted in department of obstetrics and gynaecology, to know the effici...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
OBJECTIVE: To evaluate the ability of two malignancy risk indices (RMI 1 and RMI 2) incorporating me...
INTRODUCTION: Ovarian cancer is the most lethal tumor of all gynaecological malignancies. It is the ...
BACKGROUND: The discrimination between benign and malignant ovarian tumor is important in consideri...
Objective:To evaluate the ability of four types of the risk of malignancy indices (RMI) based on ser...
BACKGROUND: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative charac...
Background: Aim of the study was to study demographic profile and diagnostic modalities of ovarian t...
Background: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
Background: Ovarian cancer possesses a challenge to screening tests due to its anatomical location, ...
risk of malignancy index (RMI) — in differentiating between benign and borderline or malignant ovari...
INTRODUCTION: The discrimination between benign and malignant adnexal masses is central to decisio...
Background: Preoperative discrimination between benign and malignant ovarian neoplasm is necessary t...
Objective: To determine the effectiveness of RMI in identifying cases of potential ovarian malignanc...
Objective: To evaluate the performance of the RMI 4 in discriminating benign from malignant ovarian ...
Background: This study was conducted in department of obstetrics and gynaecology, to know the effici...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
OBJECTIVE: To evaluate the ability of two malignancy risk indices (RMI 1 and RMI 2) incorporating me...
INTRODUCTION: Ovarian cancer is the most lethal tumor of all gynaecological malignancies. It is the ...
BACKGROUND: The discrimination between benign and malignant ovarian tumor is important in consideri...
Objective:To evaluate the ability of four types of the risk of malignancy indices (RMI) based on ser...
BACKGROUND: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative charac...
Background: Aim of the study was to study demographic profile and diagnostic modalities of ovarian t...
Background: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
Background: Ovarian cancer possesses a challenge to screening tests due to its anatomical location, ...
risk of malignancy index (RMI) — in differentiating between benign and borderline or malignant ovari...
INTRODUCTION: The discrimination between benign and malignant adnexal masses is central to decisio...
Background: Preoperative discrimination between benign and malignant ovarian neoplasm is necessary t...
Objective: To determine the effectiveness of RMI in identifying cases of potential ovarian malignanc...
Objective: To evaluate the performance of the RMI 4 in discriminating benign from malignant ovarian ...