| 刘影,潘清清,黄翠娜,等.基于肿瘤学、血清学衍生指标构建诊断模型联合经阴道超声诊断卵巢子宫内膜异位症的价值[J].安徽医药,2026,30(11):2260-2265. |
| 基于肿瘤学、血清学衍生指标构建诊断模型联合经阴道超声诊断卵巢子宫内膜异位症的价值 |
| Value of constructing a diagnostic model incorporating oncological and serological biomarkers in conjunction with transvaginal ultrasonography for the identification of ovarian endometriosis |
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| DOI：10.3969/j.issn.1009-6469.2026.11.026 |
| 中文关键词: 子宫内膜异位症 血清学指标 阴道超声 糖类抗原 125 诊断价值 |
| 英文关键词: Endometriosis Serological markers Transvaginal ultrasound CA125 Diagnostic value |
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| 中文摘要: |
| 目的探讨基于肿瘤学、血清学衍生指标构建诊断模型联合经阴道超声诊断卵巢子宫内膜异位症( OEM)的价值。方法选取 2013年 1月至 2023年 12月就诊海南医科大学第一附属医院的卵巢良性肿瘤并行手术治疗的病人，经排纳标准筛选后共纳入 650例，回顾性分析其超声检查、血清学、肿瘤生物学指标、手术及病理等资料。采用 SPSS 27.0分析，依据受试者操作特征曲线( ROC曲线)确定部分变量的最佳截断值并将其二分类化。将各变量纳入单因素回归分析，具有影响指标纳入多因素 logistic回归分析并构建诊断模型，通过 Hosmer-Lemeshow对模型的校准度进行评价并绘制校准曲线图，采用受试者 ROC曲线下面积( AUC)评估各指标的诊断效能。结果年龄、糖类抗原 125(CA125)、中性粒细胞计数 /淋巴细胞计数( NLR)、白细胞( WBC)、血细胞比容( HCT)为 OEM发生的独立危险因素，构建诊断模型的拟合指标 P=0.512，模型拟合效果良好，诊断模型 AUC为 0.88，特异度 85.6%:灵敏度 78.8%；超声检查联合诊断模型的 AUC为 0.96，特异度 92.5%:灵敏度 87.6%。结论基于血清学标志物 CA125、NLR、WBC、HCT及年龄构建的诊断模型联合超声检查在 OEM的诊断中具有较高价值，值得临床推荐使用。 |
| 英文摘要: |
| Objective To investigate the diagnostic utility of a model incorporating oncological and serological biomarkers in con-junction with transvaginal ultrasonography for the identification of ovarian endometriosis (OEM). Methods A retrospective cohortstudy was conducted on patients diagnosed with benign ovarian neoplasms who underwent surgical intervention at the First AffiliatedHospital of Hainan Medical University from January 2013 to December 2023. After applying the inclusion and exclusion criteria, a co-hort of 650 patients was enrolled.Retrospectively analyze its ultrasound examination,serological, tumor biomarker, surgical, and histo-pathological data were collected. Statistical analysis was performed using IBM SPSS Statistics 27.0. Optimal cut-off values for select variables were determined via receiver operating characteristic curve (ROC curve) analysis, with subsequent binarization of these vari-ables. Variables were initially subjected to univariate logistic regression analysis, and those demonstrating significant association wereadvanced to a multivariate logistic regression model for diagnostic model construction. Model calibration was assessed using the Hos-mer-Lemeshow goodness-of-fit test, and a calibration plot was generated. The diagnostic accuracy of the indices was quantified by thearea under the ROC curve (AUC).Results Age, carbohydrate antigen 125 (CA125), neutrophil-to-lymphocyte ratio (NLR), white bloodcell (WBC) count, and hematocrit (HCT) were identified as independent risk factors for the development of OEM. The diagnostic modelexhibited a statistically non-significant goodness-of-fit test with a P-value of 0.512, indicating an adequate model fit. The AUC for thediagnostic model was 0.88, with a sensitivity of 78.8% and a specificity of 85.6%. When integrated with ultrasonography, the AUC forthe diagnostic model increased to 0.96, with a sensitivity of 87.6% and a specificity of 92.5%.Conclusion The diagnostic model, pred-icated on serological biomarkers CA125, NLR, WBC, and HCT and age, in conjunction with ultrasonographic assessment, conferred sig-nificant diagnostic value in the context of OEM and was advocated for clinical implementation. |
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