The value of serum CA125 and HE4 detection combined with ultrasound GI-RADS classification in patients with ovarian tumors

FEI Xiaolu; MAO Xiaoling; LIU Rongjuan

doi:10.19732/j.cnki.2096-6210.2019.05.009

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The value of serum CA125 and HE4 detection combined with ultrasound GI-RADS classification in patients with ovarian tumors

更新时间：2025-12-15

- The value of serum CA125 and HE4 detection combined with ultrasound GI-RADS classification in patients with ovarian tumors
- Vol. 28, Issue 5, Pages: 335-338(2019)
- 作者机构：
  
  1. 青岛市中心医院妇科,山东,青岛,266042
  2. 青岛市中心医院产科,山东,青岛,266042
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2019.05.009
  CLC：
- Published Online：28 October 2019，
  
  Published：28 October 2019
- 稿件说明：
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费晓璐,毛晓玲,刘榕娟. 卵巢肿瘤患者行血清CA125、HE4检测联合超声GI-RADS分类鉴别的价值[J]. 肿瘤影像学, 2019, 28(5): 335-338 https://doi.

org/10.19732/j.cnki.2096-6210.2019.05.009
费晓璐,毛晓玲,刘榕娟. 卵巢肿瘤患者行血清CA125、HE4检测联合超声GI-RADS分类鉴别的价值[J]. 肿瘤影像学, 2019, 28(5): 335-338 https://doi. DOI： 10.19732/j.cnki.2096-6210.2019.05.009.

org/10.19732/j.cnki.2096-6210.2019.05.009 DOI：

摘要

目的：

探讨妇科影像报告与数据系统（Gynecology Imaging Reporting and Data System，GI-RADS）结合人附睾蛋白4（human epididymis protein 4，HE4）和糖类抗原125 （carbohydrate antigen 125，CA125）在卵巢恶性肿瘤诊断中的应用价值。

方法：

纳入2016年2月2018年2月疑患有附件肿块的患者114例。基于GI-RADS报告系统采用模式识别分析建立初步诊断，并在术前对每例患者的血清HE4和CA125浓度进行测定。将联合检查结果与最终病理学诊断结果进行比较。

结果：

GI-RADS报告系统结合HE4和CA125的灵敏度、特异度、阳性预测值和阴性预测值分别为95.9%、87.7%、85.5%和96.6%。

结论：

GI-RADS分类结合HE4和CA125水平在鉴别卵巢恶性肿瘤中表现良好，有助于增进超声诊断医师和临床医师之间的沟通，在指导临床决策和改善患者护理方面发挥着重要作用。

Abstract

Objective:

To explore the value of gynecologic imaging reporting and data system (GI-RADS) with human epididymis protein 4 (HE4) and carbohydrate antigen 125 (CA125) in the preoperative differentiation between malignant and benign ovarian tumors.

Methods:

A total of 114 patients with suspected adnexal mass were selected from Feb. 2016 to Feb. 2018. Ultrasonographic diagnosis was based on the GI-RADS classification. Serum concentration of HE4 and CA125 was measured for each patient before surgical operation

. The results of combined examination were compared with the final pathological diagnosis.

Results:

The sensitivity

specificity

positive predictive value and negative predictive value of GI-RADS reporting system combined with HE4 and CA125 were 95.9%

87.7%

85.5% and 96.6%

respectively.

Conclusion:

The GI-RADS classification combined with HE4 and CA125 performs well in identifying malignant ovarian tumors

enhances communication between sonographers and clinicians

and plays an important role in guiding clinical decision making and improving patient care.

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