| 超声弹性成像组织弥散定量分析技术在乳腺良恶性病变鉴别诊断中的价值 |
| 投稿时间：2014-05-22 修订日期：2014-06-17 点此下载全文 |
| 引用本文：郭君,梁蕾,刘焱,郭娇燕,仲挥,王新楠.超声弹性成像组织弥散定量分析技术在乳腺良恶性病变鉴别诊断中的价值[J].医学研究杂志,2015,44(1):119-122 |
| DOI：
10.3969/j.issn.1673-548X.2015.01.035 |
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| 中文摘要:目的 本研究旨在评价实时超声弹性成像组织弥散定量分析技术对乳腺良恶性病变鉴别诊断的价值。方法 对120例乳腺结节患者共计131个乳腺结节进行实时超声弹性成像,并采用组织弥散定量分析技术对结节的11个弹性特征量进行定量评价分析,将超声诊断结果与穿刺或手术病理结果进行对照。结果 应变均值(MEAN)、标准差(SD)、蓝色区域面积(AREA%)、复杂度(COMP)、峰度(KURT)、偏度(SKEW)、对比度(CONT)、均等性(ENT)、杂乱度(IDM)、一致性(ASM)、相关性(CORR)这11个特征量中,除复杂度(COMP)及相关性(CORR)外,其余9个特征量在乳腺结节的良恶性鉴别中均有统计学意义(P < 0.05),其中又以蓝色区域面积比值(AREA%)及应变均值(MEAN)的相关性最高,分别为0.765、-0.765,ROC曲线以蓝色区域面积比值(AREA%)的约登指数(敏感度＋特异性)最高,乳腺癌诊断截断值为64.78%,敏感度为94.1%,特异性为81.4%。结论 实时超声弹性成像组织弥散定量分析技术有助于乳腺良恶性病变的鉴别,为临床提供了一种较为准确的评价手段,具备较广阔应用前景。 |
| 中文关键词:超声检查 弹性成像 乳腺 组织弥散定量分析 |
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| Value of Diagnosis of Benign and Malignant Breast Lesions Using Ultrasound Elasticity Tissue Dispersion Quantitative Analysis |
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| Abstract:Objective To assess the value in the diagnosis of benign and malignant breast lesions using ultrasound elasticity tissue dispersion quantitative analysis technique. Methods Totally 120 patients with 131 breast lesions underwent ultrasound elasticity examinations, tissue dispersion quantitative analysis technique were used to assess the 11 characteristic quantities in all lesions. The ultrasonographic results were compared with pathologic findings. Results All the characteristic quantities had statistically significant differences except complexity(COMP) and correlation(CORR) in the analysis of our study.The AREA% and MEAN had the highest related coefficient(r=0.765, r=-0.765). The AREA% had the highest Youden index.The cutoff value of breast cancer was 64.78%. The sensitivity and specificity were 94.1% and 81.4%. Conclusion Ultrasound elasticity tissue dispersion quantitative analysis technique is helpful in the differential diagnosis of benign and malignant breast lesions and provides a more accurate evaluation method, with a broad application prospect. |
| keywords:Ultrasonography Elastography Breast Tissue dispersion quantitative analysis |
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