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Diagnostic usefulness of the Risk of Ovarian Malignancy Algorithm using the electrochemiluminescence immunoassay for HE4 and the chemiluminescence microparticle immunoassay for CA125

机译:使用HE4的化学发光免疫分析和CA125的化学发光微粒免疫分析对卵巢恶性肿瘤风险算法的诊断价值

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The present study aimed to investigate the usefulness of the Risk of Ovarian Malignancy Algorithm (ROMA) in the preoperative stratification of patients with ovarian tumors using a novel combination of laboratory tests. The study group (n=619) consisted of 354 premenopausal and 265 postmenopausal patients. The levels of carbohydrate antigen 125 (CA125) and human epididymis protein 4 (HE4) were determined, and ROMA calculations were performed for each pre- and postmenopausal patient. HE4 levels were determined using an electrochemiluminescence immunoassay, while CA125 levels were determined by a chemiluminescence microparticle immunoassay. A contingency table was applied to calculate the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Receiver operating characteristic curves were also constructed, and areas under the curves (AUCs) were compared between the marker determinations and ROMA algorithms. In terms of distinguishing between ovarian cancer and benign disease, the sensitivity of ROMA was 88.3%, specificity was 88.2%, PPV was 75.3% and NPV was 94.9% among all patients. The respective parameters were 71.1, 90.1, 48.2 and 91.1% in premenopausal patients and 93.6, 82.9, 86.6 and 91.6% in postmenopausal patients. The AUC value for the ROMA algorithm was 0.926 for the ovarian cancer vs. benign groups in all patients, 0.813 in premenopausal patients and 0.939 in postmenopausal patients. The respective AUC values were 0.911, 0.879 and 0.934 for CA125; and 0.879, 0.783 and 0.889 for HE4. In this combination, the ROMA algorithm is characterized by an extremely high sensitivity of prediction of ovarian cancer in women with pelvic masses, and may constitute a precise tool with which to support the qualification of patients to appropriate surgical procedures. The ROMA may be useful in diagnosing ovarian endometrial changes in young patients.
机译:本研究旨在研究使用新型实验室检查组合方法对卵巢肿瘤患者进行术前分层的卵巢恶性肿瘤风险算法(ROMA)的实用性。研究组(n = 619)由354名绝经前和265名绝经后患者组成。确定了碳水化合物抗原125(CA125)和人附睾蛋白4(HE4)的水平,并为每个绝经前和绝经后患者进行了ROMA计算。使用电化学发光免疫测定法确定HE4水平,而通过化学发光微粒免疫测定法确定CA125水平。应用列联表计算敏感性,特异性,阳性预测值(PPV)和阴性预测值(NPV)。还构建了接收器工作特性曲线,并比较了标记确定和ROMA算法之间的曲线下面积(AUC)。在区分卵巢癌和良性疾病方面,所有患者中ROMA的敏感性为88.3%,特异性为88.2%,PPV为75.3%,NPV为94.9%。绝经前患者的参数分别为71.1%,90.1%,48.2%和91.1%,绝经后患者分别为93.6%,82.9%,86.6%和91.6%。在所有患者中,针对卵巢癌与良性组的ROMA算法的AUC值为0.926,绝经前患者为0.813,绝经后患者为0.939。 CA125的AUC值分别为0.911、0.879和0.934;以及HE4的0.879、0.783和0.889。在这种组合中,ROMA算法的特点是具有盆腔肿块的妇女对卵巢癌的预测具有极高的敏感性,并且可以构成精确的工具来支持患者对适当手术方法的鉴定。 ROMA可用于诊断年轻患者的卵巢子宫内膜变化。

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