| 摘要: |
| 目的 探讨乳腺CEUS的定性指标和定量参数在鉴别乳腺良恶性结节中的诊断价值。方法 选取经超声引导下活检或术后病理证实的乳腺结节233例，其中恶性结节95例，良性结节138例。通过超声造影检查，观察乳腺病灶区的定性指标和定量参数，对其进行单因素分析，筛选出有统计学意义的定性指标和定量参数进行二元Logistic回归分析，得出ROC曲线评价其诊断恶性结节的效能。结果 单因素分析结果中显示CEUS的增强强度、增强速度、增强后形态、增强后范围、增强后边界、有无毛刺、有无灌注缺损和Peak%是诊断乳腺恶性结节的重要指标和参数（P<0.05）。Logistic回归分析结果得出，优化后的诊断指标和参数为增强后范围、有无灌注缺损、有无毛刺、增强后边界、增强后形态（P<0.05）。Logistic回归模型预测乳腺恶性结节的准确率为81.5%，ROC曲线下面积为0.894，敏感性和特异性分别为0.811、0.841。结论 乳腺CEUS的增强后范围、有无灌注缺损、有无毛刺、增强后边界、增强后形态建立的Logistic回归模型有助于诊断乳腺癌。 |
| 关键词: 超声造影检查，定性指标，定量参数，乳腺结节 |
| DOI： |
| 投稿时间：2019-10-09修订日期：2019-11-06 |
| 基金项目: |
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| Clinical Diagnostic Value of Qualitative and Quantitative Parameters of CEUS in Benign and Malignant Nodules of Breast |
| sunmin,xiaorong |
| (Hospital of Chengdu Office of People’S Government of Tibetan Autonomous Region) |
| Abstract: |
| Objective To explore the diagnostic value of qualitative and quantitative parameters of breast CEUS in differentiating benign and malignant breast nodules. Methods 233 cases of breast nodules confirmed by ultrasound-guided biopsy or pathology after operation were selected, including 95 cases of malignant nodules and 138 cases of benign nodules. Through contrast-enhanced ultrasound examination, the qualitative and quantitative parameters of breast lesions were observed, and univariate analysis was carried out. Statistically significant qualitative and quantitative parameters were screened for binary logistic regression analysis, and ROC curve was obtained to evaluate the effectiveness of ROC curve in the diagnosis of malignant nodules. Results Univariate analysis showed that CEUS enhancement intensity, enhancement speed, morphology, enhancement range, enhancement boundary, burr, perfusion defect and Pak% were important parameters for the diagnosis of malignant breast nodules (P < 0.05). Logistic regression analysis showed that the optimized diagnostic indexes and parameters were the enhanced range, whether there was perfusion defect, whether there were burrs, the enhanced boundary and the enhanced morphology (P < 0.05). The accuracy of logistic regression model in predicting malignant breast nodules was 81.5%, the area under ROC curve was 0.894, and the sensitivity and specificity were 0.811 and 0.841, respectively. Conclusion The logistic regression model established by CEUS enhancement range, perfusion defect, burr, post-enhancement boundary and post-enhancement morphology is helpful for the diagnosis of breast cancer. |
| Key words: Contrast-enhanced ultrasound, qualitative indicators, quantitative parameters, breast nodules. |
