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The power of the Risk of Ovarian Malignancy Algorithm considering menopausal status: a comparison with CA 125 and HE4

机译:考虑绝经状态的卵巢恶性肿瘤风险算法的功效:与CA 125和HE4的比较

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Objective To identify the power of tumor markers for predicting ovarian cancer according to menopausal status. Methods The medical records of 876 women with ovarian cysts were retrospectively reviewed. Cancer antigen 125 (CA 125), human epididymis protein 4 (HE4), and Risk of Ovarian Malignancy Algorithm (ROMA) were analyzed. Sensitivity, specificity, and the receiver operating characteristic (ROC) curve analyses of these tumor markers were evaluated. Results The sensitivity of ROMA was 66.7% and the specificity was 86.8% to detect ovarian malignancy. The patients were divided into 2 groups according to menopausal status: premenopause (n=532, 60.7%) and postmenopause (n=344, 39.3%). For diagnostic accuracy, ROMA was lower than HE4 in premenopausal women (82.7% vs. 91.4%) and lower than CA 125 in postmenopausal women (86.9% vs. 88.7%). The ROC curve analysis revealed that the power of ROMA was not significantly better than that of HE4 in premenopausal women (area under the curve [AUC], 0.731 vs. 0.732, p=0.832), and it was also not significantly better than that of CA 125 in postmenopausal women (AUC, 0.871 vs. 0.888, p=0.440). Conclusion The discrimination power of tumor markers for ovarian cancer was different according to menopausal status. In predicting ovarian malignancy, ROMA was neither superior to HE4 in premenopausal women nor superior to CA 125 in postmenopausal women.
机译:目的根据更年期状态确定肿瘤标志物预测卵巢癌的作用。方法回顾性分析876例卵巢囊肿妇女的病历。分析了癌症抗原125(CA 125),人附睾蛋白4(HE4)和卵巢恶性肿瘤风险算法(ROMA)。评估了这些肿瘤标志物的敏感性,特异性和受体工作特征(ROC)曲线分析。结果ROMA检测卵巢恶性肿瘤的敏感性为66.7%,特异性为86.8%。根据绝经状态将患者分为两组:绝经前(n = 532,60.7%)和绝经后(n = 344,39.3%)。就诊断准确性而言,绝经前女性的ROMA低于HE4(82.7%比91.4%),而绝经后女性的ROMA低于CA 125(86.9%比88.7%)。 ROC曲线分析显示,绝经前妇女ROMA的功效并没有明显好于HE4的功效(曲线下面积[AUC],分别为0.731和0.732,p = 0.832),也没有显着优于女性。绝经后妇女的CA 125(AUC,0.871 vs. 0.888,p = 0.440)。结论根据更年期状态,卵巢癌的肿瘤标志物鉴别能力不同。在预测卵巢恶性肿瘤中,ROMA在绝经前女性中均不优于HE4,在绝经后女性中均不优于CA 125。

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