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首页> 外文期刊>Advances in therapy. >Clinical Performance Comparison of Two In-Vitro Diagnostic Multivariate Index Assays (IVDMIAs) for Presurgical Assessment for Ovarian Cancer Risk
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Clinical Performance Comparison of Two In-Vitro Diagnostic Multivariate Index Assays (IVDMIAs) for Presurgical Assessment for Ovarian Cancer Risk

机译:两种体外诊断多元指数测定(IVDMIAS)对卵巢癌风险的临床性能比较

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Introduction Adnexal or pelvic mass is a finding that commonly raises suspicion for malignancy, especially for ovarian cancer. Proper identification prior to surgery would permit appropriate referral to a specialty center in cases likely to be ovarian cancer, as optimal outcomes in such cases are obtained when surgical staging and treatment are provided at the time of initial surgery. Methods We compared the screening capabilities of two in vitro diagnostic multivariate index assays (IVDMIAs), a new IVDMIA (second-generation multivariate index assay: MIA2G) and a currently used triage algorithm (Risk of Ovarian Malignancy Assay: ROMA). Results Among 245 subjects (24.7%) determined to have a malignancy, ROMA misclassified 51 malignancies (including 10 high-grade ovarian malignancies), whereas MIA2G misclassified 22 (including 5 high-grade ovarian malignancies). Early stage cancers were more frequently misclassified by ROMA (20 vs. 8 cases). The rate of "test-negative" malignancies was significantly higher for ROMA, while the rate of "test-positive" benign cases was significantly higher for MIA2G. Conclusion Triage algorithms play an important role in improving clinical outcomes for women presenting with an adnexal mass regardless of the eventual diagnosis. In this study, MIA2G was shown to correctly predict more cases of ovarian cancer than the ROMA algorithm. Funding Aspira Labs/Vermillion Inc.
机译:介绍Adnexal或Pelvic Mass是一种发现,通常引起恶性肿瘤的怀疑,特别是对于卵巢癌。在手术前的适当鉴定将允许适当转诊在可能是卵巢癌的情况下,因为在初始手术时提供手术分期和治疗时,可以获得这种情况的最佳结果。方法比较两种体外诊断多元指数测定(IVDMIAs)的筛查能力,新的IVDMIA(第二代多元指数测定:MIA2G)和目前使用的分类算法(卵巢恶性测定的风险:ROMA)。结果245名受试者(24.7%)判定恶性肿瘤,罗姆人错误分类了51名恶性肿瘤(包括10名高级卵巢恶性肿瘤),而MIA2G错误分类22(包括5名高级卵巢恶性肿瘤)。早期的癌症更频繁地被罗姆(20余八例)错误分类。对于罗姆人来说,“测试阴性”恶性肿瘤的速率显着高,而MIA2G的“试验阳性”良性病例的速率明显高。结论分类算法在提高患有附件质量的妇女临床结果方面发挥着重要作用,无论最终诊断如何。在这项研究中,显示MIA2G被正确预测卵巢癌的患者而不是ROMA算法。资助Aspira Labs / Vermillion Inc.

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