Background: Ovarian cancer possesses a challenge to screening tests due to its anatomical location, poor natural history, lack of specific lesion, symptoms and signs and low prevalence. Authors shall be considering RMI 2 and RMI 4 (forms of RMI) and comparing them with histopathology report to derive the sensitivity, specificity and other parameters of these tests.Methods: A prospective study was conducted from September 2016- September 2017 at Mazumdar Shaw Hospital, Narayana Hrudayalaya, Bangalore.73 patients met the inclusion criteria. RMI 2 and RMI4 were calculated for all the patients and these scores were compared to the final histopathology reports.Results: In present study of 73 patients RMI2 showed a sensitivity of 86.6%, speci...
INTRODUCTION: Ovarian cancer is the most lethal tumor of all gynaecological malignancies. It is the ...
Objective:To calculate the optimal cut-off point for the risk of malignancy index (RMI) ...
Objective: To evaluate the performance of the RMI 4 in discriminating benign from malignant ovarian ...
Background: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
BACKGROUND: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative charac...
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: This study was conducted in department of obstetrics and gynaecology, to know the effici...
Background: Preoperative discrimination between benign and malignant ovarian neoplasm is necessary t...
Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to pl...
Background: Ovarian carcinoma is a silent killer because it presents in advanced stage. In India, it...
Background: Ovarian malignancy is the most common gynecological malignancy after the cancer of the c...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Background: Adnexal masses are common gynaecological conditions and might be encountered at every st...
Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to pl...
INTRODUCTION: Ovarian cancer is the most lethal tumor of all gynaecological malignancies. It is the ...
Objective:To calculate the optimal cut-off point for the risk of malignancy index (RMI) ...
Objective: To evaluate the performance of the RMI 4 in discriminating benign from malignant ovarian ...
Background: To differentiate ovarian mass as benign or malignant could change clinical approach. Fin...
BACKGROUND: Ovarian cancer is the most lethal of all gynaecological nalignancy. Preoperative charac...
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: This study was conducted in department of obstetrics and gynaecology, to know the effici...
Background: Preoperative discrimination between benign and malignant ovarian neoplasm is necessary t...
Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to pl...
Background: Ovarian carcinoma is a silent killer because it presents in advanced stage. In India, it...
Background: Ovarian malignancy is the most common gynecological malignancy after the cancer of the c...
Introduction:The most fatal of all gynecological cancers is ovarian cancer. Of all gynecological can...
Background: Adnexal masses are common gynaecological conditions and might be encountered at every st...
Background: Pre-operative knowledge regarding the nature of ovarian mass is necessary in order to pl...
INTRODUCTION: Ovarian cancer is the most lethal tumor of all gynaecological malignancies. It is the ...
Objective:To calculate the optimal cut-off point for the risk of malignancy index (RMI) ...
Objective: To evaluate the performance of the RMI 4 in discriminating benign from malignant ovarian ...