| 丁春霞,刘凤霞,王海平.全自动乳腺容积成像对乳腺病灶诊断效果的Logistic回归模型分析[J].肿瘤学杂志,2014,20(9):720-723. |
| 全自动乳腺容积成像对乳腺病灶诊断效果的Logistic回归模型分析 |
| Logistic Regression Model Analysis on Diagnostic Efficiency of Automated Breast Volume Imaging (ABVS) for Breast Disease |
| 投稿时间：2014-06-02 |
| DOI：10.11735/j.issn.1671-170X.2014.09.B006 |
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| 中文关键词: 全自动乳腺容积成像 乳腺疾病 诊断 Logistic回归模型 |
| 英文关键词:automated breast volume imaging(ABVS) breast disease diagnosis Logistic regression model |
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| 中文摘要: |
| 摘 要：［目的］ 探讨全自动乳腺容积成像（ABVS）对乳腺病灶诊断效果，及影响诊断效果的危险因素。［方法］ 经过手术或穿刺病理检查证实的40例乳腺病灶患者使用彩色多普勒超声诊断仪进行常规超声、彩色超声与ABVS等，并对变量进行回归分析。［结果］ 常规超声诊断乳腺良、恶性病灶的敏感性、特异性、准确性、阳性预测值、阴性预测值分别为：86.4%、87.1%、86.9%、70.5%、94.7%。ABVS诊断乳腺疾病的敏感性、特异性、准确性、阳性预测值、阴性预测值分别为96.1%、91.9%、94.5%、74.0%、94.1%。经Logistic回归分析，“火山口”征，病灶内微小钙化，病灶边缘、患者年龄对乳腺恶性病灶的诊断效能高。［结论］ ABVS系统基于乳腺全容积扫查的特点，有助于提高超声医师对乳腺病变的检出率。 |
| 英文摘要: |
| Abstract：［Purpose］ To investigate the diagnostic efficiency of automated breast volume imaging (ABVS) for breast disease and the impact of risk factors on the diagnostic efficiency.［Methods］ Forty cases with breast disease pathologically proven after surgery or biopsy underwent conventional ultrasound，color ultrasound and ABVS using color Doppler ultrasonic diagnostic apparatus. The variables were regressively analyzed. ［Results］ The sensitivity，specificity，accuracy，positive predictive value，and negative predictive value of conventional ultrasound in the diagnosis for benign and malignant breast lesions were 86.4%，87.1%，86.9%，70.5% and 94.7% respectively，and those of ABVS were 96.1%，91.9%，94.5%，74% and 94.1% respectively. By Logistic regression model analysis，“Volcano” syndrome，microcalcification within lesion，margin of lesion，age of patients had high diagnostic efficiency for malignant breast lesions. ［Conclusion］ Based on the characteristic of whole breast volume scanning，ABVS is helpful to improve detection rate for breast lesions. |
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