目的 探讨常规超声联合弹性超声在男性乳腺癌中的预测价值.方法 纳入男性乳腺肿瘤患者105例,共108个病灶(良性肿块53个,恶性肿块55个).对乳腺肿块行常规超声及弹性超声检查,应用单因素及多因素Logistic回归分析男性乳腺癌的独立预测因子.将差异有统计学意义的常规超声参数纳入二维超声模型,通过Logistic回归算法联合弹性评分和二维超声模型建立联合模型,并对两种模型的诊断效能进行评估对比.结果 患者年龄(P=0.0001)、肿块血流(P=0.0023)、方位(P=0.0075)、弹性评分(P=0.0002)是男性乳腺癌的独立预测因子.联合模型和二维超声模型的曲线下面积(area under the curve,AUC)分别为0.911和0.855,两者比较差异有统计学意义(P=0.0311).决策曲线分析(decision curve analysis,DCA)结果表明,联合模型在临床上具有较强的实用性.结论 弹性评分是男性乳腺癌的独立预测因子,常规超声联合弹性超声可提高男性乳腺癌的诊断效能.
Predictive Value of Conventional Ultrasound Combined with Elastography in Male Breast Tumors
Objective To investigate the predictive value of conventional ultrasound combined with elastography in male breast cancer.Methods One hundred and five male patients with breast tumors were included,with a total of 108 lesions(53 benign masses and 55malignant masses).Conventional ultrasound and elastography were performed on breast masses.Univariate and multivariate logistic regression were used to analyze the independent predictors of male breast cancer.The two-dimensional ultrasound model was established using statistically significant conventional ultrasound parameters.The combined model was established by combining elastic score and two-dimensional ultrasound model using logistic regression algorithm,and evaluated and compared the diagnostic performance of the two models.Results Patient age(P=0.0001),tumor blood flow(P=0.0023),orientation(P=0.0075),and elasticity score(P=0.0002)were independent predictors of male breast cancer.The area under the curve(AUC)of the combined model and the two-di-mensional ultrasound model were 0.911 and 0.855,respectively,with statistically significant difference(P=0.0311).The results of decision curve analysis(DCA)indicated that the combined model had strong practicality in clinical practice.Conclusion Elasticity score is an independent predictor of male breast cancer,and conventional ultrasound combined with elastography can improve the diagnos-tic efficacy of male breast cancer.
万方数据
维普
