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ROMA (Risk Of Malignancy Algorithm) Peer-review Journals | Open Access Journals
Journal of Surgical Pathology and Diagnosis

Journal of Surgical Pathology and Diagnosis

ISSN: 2684-4575

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ROMA (Risk Of Malignancy Algorithm) Peer-review Journals

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.

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Citations: 15

Journal of Surgical Pathology and Diagnosis received 15 citations as per Google Scholar report

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