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首页> 外文期刊>Clinical chemistry and laboratory medicine: CCLM >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?
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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?

机译:ROMA(卵巢恶性肿瘤算法的风险)用于评估盆腔肿块妇女的上皮性卵巢癌风险:真的有用吗?

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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<0.05) and those with a benign mass (both p<0.05). The pre-menopausal group included 36 benign cases (29 of which were classified by ROMA as low-risk with a specificity of 80.6%; 95% CI: 64.0%-91.8%), and 15 EOC (eight of which were classified by ROMA as high-risk, with a sensitivity of 53.3%; 95% CI: 26.6%-78.7%). The post-menopausal group enclosed 13 benign cases (11 of which were classified by ROMA as low-risk with a specificity of 84.6%; 95% CI: 54.6%-98.0%), and 40 EOC (33 of which were classified by ROMA as high-risk with a sensitivity of 82.5%; 95% CI: 67.2%-92.7%). In the pre-menopausal group, the AUC was 0.64 (p=0.12, 95% CI: 0.44-0.83) for CA125, 0.77 (p=0.003, 95% CI: 0.62-0.92) for HE4 and 0.77 (p=0.002, 95% CI: 0.63-0.92) for ROMA. In the post-menopausal group, the AUC was 0.84 (p=0.0003, 95% CI: 0.73-0.94) for CA125, 0.94 (p<0.0001, 95% CI: 0.88-0.99) for HE4 and 0.92 (p<0.0001, 95% CI: 0.85-0.99) for ROMA. CONCLUSIONS: The ROMA is a simple scoring system which shows excellent diagnostic performance for the detection of EOC in post-menopausal women, but not in pre-menopausal women. Moreover, the dual marker combination of HE4 and CA125 (ROMA) does not show better performance than HE4 alone.
机译:背景:本研究旨在评估预测模型ROMA(卵巢恶性算法的风险)的性能,该模型利用人类附睾蛋白4(HE4)和CA125值的组合来评估卵巢上皮性卵巢癌(EOC)的风险。妇女盆腔肿块。方法:104名被诊断患有盆腔肿块的妇女(55例EOC,49例良性病例)和49例健康女性入组。测量术前HE4和CA125的血清浓度。绝经前和绝经后妇女的独立逻辑回归算法ROMA用于将患者分为EOC的低风险和高风险组。计算了曲线下面积(AUC),灵敏度和特异度,用于HE4,CA125和ROMA,使用接收者工作特征(ROC)分析来诊断卵巢癌。结果:EOC患者中CA125和HE4血清中值显着高于健康女性(均p <0.05)和良性肿物(均p <0.05)。绝经前组包括36例良性病例(其中ROMA将29例归为低风险,特异性为80.6%; 95%CI:64.0%-91.8%)和15例EOC(其中8例被ROMA归类)高风险,敏感性为53.3%; 95%CI:26.6%-78.7%)。绝经后组收治13例良性病例(其中ROMA将11例归类为低风险,特异性为84.6%; 95%CI:54.6%-98.0%)和40例EOC(其中33例由ROMA归类)高风险,敏感性为82.5%; 95%CI:67.2%-92.7%)。绝经前组中CA125的AUC为0.64(p = 0.12,95%CI:0.44-0.83),HE4的AUC为0.77(p = 0.003,95%CI:0.62-0.92),0.77(p = 0.002, ROMA的95%CI:0.63-0.92)。在绝经后组中,CA125的AUC为0.84(p = 0.0003,95%CI:0.73-0.94),HE4的AUC为0.94(p <0.0001,95%CI:0.88-0.99),0.92(p <0.0001, ROMA的95%CI:0.85-0.99)。结论:ROMA是一个简单的评分系统,对绝经后女性(而非绝经前女性)的EOC检测具有出色的诊断性能。此外,HE4和CA125(ROMA)的双重标记组合没有显示出比单独的HE4更好的性能。

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