Published in
De Gruyter, Clinical Chemistry and Laboratory Medicine, 3(49), 2011
SAGE Publications, Annals of Clinical Biochemistry, 4(48), p. 392-392, 2011
Links
Tools
The ROMA (Risk of Ovarian Malignancy Algorithm) for estimating the risk of epithelial ovarian cancer in women presenting with pelvic mass: Is it really useful?
,
Giuseppe Lippi,
Elisa Danese ,
Valentina Bresciani,
Matteo Gelati,
Massimo Franchi,
Gian Cesare Guidi,
Sarah Jarvis
Full text: Download
Abstract
Background: The study is aimed at evaluating the performance of the predictive model ROMA (Risk of Ovarian Malignancy Algorithm), which utilizes the combination of human epididymis protein 4 (HE4) and CA125 values to assess the risk of epithelial ovarian cancer (EOC) in women with a pelvic mass. Methods: One hundred and four women diagnosed with a pelvic mass (55 EOC and 49 benign cases) and scheduled to have surgery were enrolled, along with 49 healthy females. Preoperative serum concentrations of HE4 and CA125 were measured. Separate logistic regression algorithms ROMA for pre-menopausal and post-menopausal women were used to categorize patients into low- and high-risk groups for EOC. The area under the curve (AUC), sensitivity and specificity were calculated for HE4, CA125 and ROMA for the diagnosis of ovarian cancer using receiver operating characteristic (ROC) analysis. Results: The median CA125 and HE4 serum concentrations were significantly higher among EOC patients than in healthy females (both p