| 沈建红,罗葆明,欧冰,冯霞,杨海云.乳腺恶性病变超声诊断的Logistic回归模型[J].中国医学影像技术,2007,23(1):88~90 |
| 乳腺恶性病变超声诊断的Logistic回归模型 |
| A logistic regression model for predicting breast malignancy with ultrasonographic features |
| 投稿时间：2006-09-06 修订日期：2007-01-04 |
| DOI： |
| 中文关键词: 超声检查 乳腺肿瘤 鉴别诊断 Logistic模型 |
| 英文关键词:Ultrasonography Breast neoplasms Differential diagnosis Logistic models |
| 基金项目: |
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| 中文摘要: |
| 目的 建立以超声特征诊断乳腺恶性病变的Logistic回归模型。方法 对手术病理证实的475个乳腺病灶的二维超声、彩色多普勒超声、超声弹性成像特征进行多因素回归分析,建立Logistic模型。用ROC曲线法评价Logistic模型的预报能力。结果 多因素回归分析显示最后进入Logistic模型的7个特征分别为:弹性成像评分(OR=5.735)、病灶边缘(OR=8.421)、病灶内微小钙化,(OR =8.755)、CDFI分级(OR=1.767)、内部回声不均匀(OR=0.276)、后方回声衰减(OR=3.282)、后方回声增强(OR=0.396)。Logistic模型的ROC曲线下面积为0.979。结论 以超声特征诊断乳腺恶性病变的Logistic回归模型有助于鉴别乳腺良、恶性病变。 |
| 英文摘要: |
| Objective To establish a logistic model for predicting breast malignancy on the basis of ultrasonographic features. Methods The features of gray-scale ultrasonography (US), color Doppler flow imaging (CDFI) and ultrasonic elastography (UE) were evaluated in 475 breast lesions confirmed by surgical pathology. A Logistic model for predicting breast malignancy on the basis of ultrasonographic features was obtained. A receiver operating characteristic (ROC) curve was used to assess the performance of the Logistic model. Results Seven ultrasonic features were finally entering the Logistic model, they were: elasticity score (odds ratio, OR=5.735), margin (OR=8.421), microcalcification (OR=8.755), color Doppler flow grade (OR=1.767),heterogeneous texture (OR=0.276), shadowing (OR=3.282), and enhanced transmission (OR=0.396). The area under the ROC curve was 0.979. Conclusion The Logistic model can help differentiate benign from malignant breast lesions. |
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