Update on Breast Cancer Detection Using Comb-Push Ultrasound Shear Elastography.
Update on Breast Cancer Detection Using Comb-Push Ultrasound Shear Elastography.
复制标题
DOI：
10.1109/tuffc.2015.007043
复制
发表时间：
2015-09
期刊：
影响因子：
--
通讯作者：
Alizad A
中科院分区：
文献类型：
--
作者：
Denis M;Bayat M;Mehrmohammadi M;Gregory A;Song P;Whaley DH;Pruthi S;Chen S;Fatemi M;Alizad A
在这项工作中，组织硬度估计用于区分良性和恶性乳腺肿块在一组活检前的患者。基本原理是乳房肿块通常比健康组织更硬;此外，恶性肿块比良性肿块更硬。梳推超声剪切弹性成像（CUSE）方法用于无创评估组织的机械性能。CUSE利用同时多个横向间隔的辐射力（ARF）激励和检测序列来重建感兴趣区域（ROI）剪切波速度图，从中通过杨氏模量量化组织刚度特性。在这项研究中，73乳腺肿块的组织硬度进行了询问。恶性肿块的平均剪切波速度（3.42 ± 1.32）m/s高于良性肿块（6.04 ± 1.25）m/s。当组织弹性由杨氏模量量化时，这些速度值对应于恶性乳腺肿块（114.9 ± 40.6 kPa）比良性肿块（39.4 ± 28.1 kPa和p < 0.001）更高的硬度。以杨氏模量> 83 kPa为界值，受试者工作特征曲线（ROC）敏感性为89.19%，特异性为88.69%，曲线下面积（AUC）为0.911。
In this work, tissue stiffness estimates are used to differentiate between benign and malignant breast masses in a group of pre-biopsy patients. The rationale being that breast masses are often stiffer than healthy tissue; furthermore, malignant masses are stiffer than benign masses. The comb-push ultrasound shear elastography (CUSE) method is used to noninvasively assess a tissue’s mechanical properties. CUSE utilizes a simultaneous multiple laterally spaced radiation force (ARF) excitations and detection sequence to reconstruct the region of interest (ROI) shear wave speed map, from which a tissue stiffness property is quantified by Young’s modulus. In this study, the tissue stiffness of 73 breast masses is interrogated. The mean shear wave speeds for malignant masses (3.42 ± 1.32 m/s) were higher than benign breast masses (6.04 ± 1.25 m/s). These speed values correspond to higher stiffness in malignant breast masses (114.9 ± 40.6 kPa) than benign masses (39.4 ± 28.1 kPa and p < 0.001), when tissue elasticity is quantified by Young’s modulus. A Young’s modulus > 83 kPa is established as a cut-off value for differentiating between malignant and benign suspicious breast masses, with receiver operating characteristic curve (ROC) of 89.19% sensitivity, 88.69% specificity, and 0.911 for the area under the curve (AUC).