Division of Gynecological Surgery, Poznan University of Medical Sciences, 33. Polna St., 60-535, Poznan, Poland,
Arch Gynecol Obstet. 2013 Dec;288(6):1377-83. doi: 10.1007/s00404-013-2901-1. Epub 2013 May 31.
The aim of our study was the evaluation of HE4 usefulness as a test in assessment of ovarian tumors which are suspicious and difficult to classify correctly via subjective ultrasound examination.
In this retrospective cohort study 253 women diagnosed with adnexal masses were examined preoperatively. Suspicious tumors (n = 145) were divided into groups of: "probably benign" (n = 70), "uncertain" (n = 34), and "probably malignant" (n = 41). "Uncertain" tumors were also assessed as "benign" (n = 11) or "malignant" (n = 23). The logistic regression model was performed to analyze if the serum marker improves the prediction of a malignant finding and net reclassification improvement (NRI) was calculated to measure diagnostic improvement.
Within the analyzed group 85 (58.6%) benign and 60 (41.4%) malignant tumors were confirmed histopathologically. The comparison of HE4 with subjective ultrasound assessment showed lowered NRI in the entire analyzed group as well as in the groups of tumors classified as "probably benign" or "probably malignant" (NRI = -0.16; P = 0.0139 and NRI = -0.133; P = 0.0489, respectively). The analysis of logistic regression model confirmed that biomarkers do not improve diagnostic accuracy. The difference between areas under ROC for HE4 (0.891) and CA125 (0.902) was not statistically significant (P = 0.760).
After subjective ultrasound assessment, the addition of the second-line test-HE4 as well as CA125 serum level does not improve diagnostic performance. However, HE4 evaluation satisfies the clinical expectations of diagnostic tools for ovarian tumors and, thus, may be useful to less experienced sonographers.
我们研究的目的是评估 HE4 在评估通过主观超声检查难以正确分类的可疑卵巢肿瘤方面的有用性。
在这项回顾性队列研究中,对 253 名被诊断为附件肿块的女性进行了术前检查。可疑肿瘤(n = 145)分为以下几组:“可能良性”(n = 70)、“不确定”(n = 34)和“可能恶性”(n = 41)。“不确定”的肿瘤也被评估为“良性”(n = 11)或“恶性”(n = 23)。进行逻辑回归模型分析以评估血清标志物是否改善了恶性发现的预测,计算净重新分类改善(NRI)以衡量诊断改善。
在所分析的组中,85 个(58.6%)良性和 60 个(41.4%)恶性肿瘤经组织病理学证实。与主观超声评估相比,HE4 的比较显示整个分析组以及被分类为“可能良性”或“可能恶性”的肿瘤组中的 NRI 降低(NRI = -0.16;P = 0.0139 和 NRI = -0.133;P = 0.0489,分别)。逻辑回归模型分析证实,生物标志物不能提高诊断准确性。HE4(0.891)和 CA125(0.902)的 ROC 曲线下面积之间的差异无统计学意义(P = 0.760)。
在主观超声评估后,添加二线测试-HE4 以及 CA125 血清水平并不能提高诊断性能。然而,HE4 评估满足了卵巢肿瘤诊断工具的临床预期,因此可能对经验不足的超声医师有用。