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An approach based on strain-compounding technique and ultrasound Nakagami imaging for detecting breast microcalcifications

机译:基于应变复合技术和超声中神成像技术的乳腺微钙化检测方法

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The usefulness of breast ultrasound could be extended by improving the detection of microcalcifications by being able to extract and enhance true microcalcifications whilst simultaneously eliminating hyperechoic spots that can lead to false-positive detections of microcalcifications (false-microcalcifications). This study investigated the use of a strain-compounding technique with Nakagami imaging to provide information associated with scatterer and elastic characteristics of tissues when attempting to identify microcalcifications and false-microcalcifications. To validate this concept, raw data of ultrasound backscattered signals were collected from 20 lesions with suspicious microcalcifications (15 microcalcifications and 5 false-microcalcifications verified by mammography and ultrasound-guided biopsy). For each region in which microcalcifications were suspected, estimates of the mean Nakagami parameter (mavg) in the strain-compounding Nakagami images were normalized to those of the corresponding reference Nakagami images. Receiver operating characteristic (ROC) curve analysis was adopted to assess the diagnostic performances. The results demonstrated that the normalized mavg estimates for microcalcifications and false-microcalcifications were 0.98±0.12 and 2.11±0.30 (p<0.01), respectively. The mean area under the ROC curve was 0.99 with a 95% confidence interval of 0.94–1.00. These findings indicate that the strain-compounding Nakagami imaging method is effective at discriminating microcalcifications from false-microcalcifications, and thus can provide more clues and more detailed information for breast tumor characterizations.
机译:通过能够提取和增强真实的微钙化同时改善消除微回声点(可导致对微钙化的假阳性检测(假微钙化))而改善微钙化的检测,可以扩大乳房超声检查的用途。这项研究调查了在Nakagami成像中使用应变复合技术来提供与组织的散射和弹性特征相关的信息,从而尝试识别微钙化和假微钙化。为了验证这一概念,从20个具有可疑微钙化病灶的病变中收集了超声反向散射信号的原始数据(15个微钙化病灶和5个假微钙化病灶,经乳房X线照相术和超声引导活检证实)。对于怀疑存在微钙化的每个区域,将应变复合Nakagami图像中平均Nakagami参数(mavg)的估计值标准化为相应的参考Nakagami图像的估计值。接受者操作特征(ROC)曲线分析被用来评估诊断性能。结果表明,微钙化和假微钙化的归一化mavg估计分别为0.98±0.12和2.11±0.30(p <0.01)。 ROC曲线下的平均面积为0.99,95%置信区间为0.94–1.00。这些发现表明,应变复合Nakagami成像方法可有效区分微钙化与假微钙化,因此可为乳腺肿瘤表征提供更多线索和更详细的信息。

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