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Clinical value of risk of ovarian malignancy algorithm in risk stratification of ovarian cancer / 中华全科医师杂志
Chinese Journal of General Practitioners ; (6): 580-582, 2014.
Article in Chinese | WPRIM | ID: wpr-454980
ABSTRACT
The serum specimens were collected from ovarian cancer (n =100),benign ovarian disease (n =69) and healthy women (n =95).The serum levels of HE4 and CA125 were detected.Risk of ovarian maliqnancy algorithm (ROMA) was calculated.Accuracy of prediction was evaluated by the area under receiver operating characteristic curve (ROC-AUC).And validity of prediction was evaluated by sensitivity and specificity.The results showed that the median level of ROMA algorithm was 83.0%,8.9% and 8.7% in ovarian cancer,benign ovarian disease and healthy women groups respectively.The difference were statistically significant (all P < 0.01).Compared with benign ovarian disease group,the ROC-AUC of ROMA algorithm was 0.900 in ovarian cancer group.The sensitivity and specificity were 81.0% and 92.8% in ovarian cancer group respectively.Thus ROMA algorithm is a useful parameter in risk stratification for ovarian cancer.The diagnostic accuracy of ROMA algorithm is better than that of HE4 and CA125 in ovarian cancer.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Prognostic study Language: Chinese Journal: Chinese Journal of General Practitioners Year: 2014 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Prognostic study Language: Chinese Journal: Chinese Journal of General Practitioners Year: 2014 Type: Article