Article Summary
磁共振动态增强扫描联合血清SCCA、TSGF、HE4对早期宫颈癌淋巴结转移的预测价值
Predictive Value of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Serum SCCA, TSGF and HE4 in Lymph Node Metastasis of Early Cervical Cancer
投稿时间:2024-06-18  修订日期:2024-06-18
DOI:
中文关键词: 磁共振动态增强扫描  SCCA  TSGF  HE4  宫颈癌  淋巴结转移  预测价值
英文关键词: Dynamic contrast-enhanced magnetic resonance imaging  SCCA  TSGF  HE4  Cervical cancer  Lymph node metastasis  Predictive value
基金项目:陕西省卫生健康委科研基金(2021D006)
作者单位邮编
王燕* 西安市中心医院 710003
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中文摘要:
      目的:探讨磁共振动态增强扫描(DCE-MRI)联合血清鳞状细胞癌抗原(SCCA)、肿瘤特异性生长因子(TSGF)、附睾蛋白4(HE4)对早期宫颈癌淋巴结转移(LNM)的预测价值。方法:选择2021年1月至2023年12月我院收治的112例早期宫颈癌患者,所有患者术前均行DCE-MRI检查,根据患者术后病理检查结果将其分为LNM组(27例)和非LNM组(85例),比较两组一般资料、DCE-MRI定量参数[速率常数(Kep)、容量转移常数(Ktrans)、血管外细胞外容积分数(Ve)]、血清SCCA、TSGF、HE4水平。采用受试者工作特征(ROC)曲线分析DCE-MRI定量参数联合血清SCCA、TSGF、HE4对早期宫颈癌患者发生LNM的预测价值。结果:LNM组国际妇产科联盟(FIGO)分期IIA1~ IIA2期比例显著高于非LNM组(P<0.05),两组年龄、肿瘤最大直径、病理类型、肿瘤分化程度比较无统计学意义(P>0.05)。LNM组Kep、Ktrans均高于非LNM组(P<0.05),两组Ve比较无统计学意义(P>0.05)。LNM组血清SCCA、TSGF、HE4水平均高于非LNM组(P<0.05)。ROC曲线分析结果显示,Kep 、Ktrans、血清SCCA、TSGF、HE4单独及联合预测早期宫颈癌患者发生LNM具有较高的敏感度、特异度,联合检验预测早期宫颈癌患者发生LNM的曲线下面积(AUC)高于各指标单独检验。结论:DCE-MRI定量参数联合血清SCCA、TSGF、HE4对早期宫颈癌患者发生LNM具有较高的预测价值,可用于早期宫颈癌LNM的辅助预测。
英文摘要:
      Objective:To investigate the predictive value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) combined with serum squamous cell carcinoma antigen (SCCA), tumor specific growth factor (TSGF) and epididymis protein 4 (HE4) in lymph node metastasis (LNM) of early cervical cancer. Methods:112 patients with early cervical cancer admitted to our hospital from January 2021 to December 2023 were selected, all patients underwent DCE-MRI examination before operation, patients were divided into LNM group (27 cases) and non LNM group (85 cases) according to the results of postoperative pathological examination, the general data, DCE-MRI quantitative parameters [rate constant (Kep), volume transfer constant (Ktrans), extravascular extracellular volume fraction (Ve)], serum SCCA, TSGF and HE4 levels were compared between two groups. The predictive value of DCE-MRI quantitative parameters combined with serum SCCA, TSGF and HE4 for LNM in patients with early cervical cancer were analyzed by receiver operating characteristic (ROC) curve. Results:The proportion of international federation of gynecology and obstetrics (FIGO) stage IIA1~IIA2 in LNM group was significantly higher than that in non LNM group (P<0.05), There was no significant difference in age, maximum tumor diameter, pathological type and degree of tumor differentiation between two groups (P>0.05). Kep and Ktrans in LNM group were higher than those in non LNM group (P<0.05), There was no significant difference in Ve between two groups (P>0.05). The levels of serum SCCA, TSGF and HE4 in LNM group were higher than those in non LNM group (P<0.05). ROC curve analysis showed that, Kep, Ktrans, serum SCCA, TSGF, HE4 alone and in combination had high sensitivity and specificity in predicting LNM in patients with early cervical cancer, the area under the curve (AUC) of combined test in predicting LNM in patients with early cervical cancer was higher than that of each index alone. Conclusion:DCE-MRI quantitative parameters combined with serum SCCA, TSGF and HE4 have high predictive value for LNM in patients with early cervical cancer, and can be used for auxiliary prediction of LNM in early cervical cancer.
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