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超声 Nakagami 成像:一种可视化良、恶性乳腺肿瘤散射体特性的策略。

Ultrasonic Nakagami imaging: a strategy to visualize the scatterer properties of benign and malignant breast tumors.

机构信息

Division of Mechanics, Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan, ROC.

出版信息

Ultrasound Med Biol. 2010 Feb;36(2):209-17. doi: 10.1016/j.ultrasmedbio.2009.10.006. Epub 2009 Dec 16.

Abstract

Previous studies have demonstrated the usefulness of the Nakagami parameter in characterizing breast tumors by ultrasound. However, physicians or radiologists may need imaging tools in a clinical setting to visually identify the properties of breast tumors. This study proposed the ultrasonic Nakagami image to visualize the scatterer properties of breast tumors and then explored its clinical performance in classifying benign and malignant tumors. Raw data of ultrasonic backscattered signals were collected from 100 patients (50 benign and 50 malignant cases) using a commercial ultrasound scanner with a 7.5 MHz linear array transducer. The backscattered signals were used to form the B-scan and the Nakagami images of breast tumors. For each tumor, the average Nakagami parameter was calculated from the pixel values in the region-of-interest in the Nakagami image. The receiver operating characteristic (ROC) curve was used to evaluate the clinical performance of the Nakagami image. The results showed that the Nakagami image shadings in benign tumors were different from those in malignant cases. The average Nakagami parameters for benign and malignant tumors were 0.69 +/- 0.12 and 0.55 +/- 0.12, respectively. This means that the backscattered signals received from malignant tumors tend to be more pre-Rayleigh distributed than those from benign tumors, corresponding to a more complex scatterer arrangement or composition. The ROC analysis showed that the area under the ROC curve was 0.81 +/- 0.04 and the diagnostic accuracy was 82%, sensitivity was 92% and specificity was 72%. The results showed that the Nakagami image is useful to distinguishing between benign and malignant breast tumors.

摘要

先前的研究已经证明了 Nakagami 参数在通过超声对乳腺肿瘤进行特征描述方面的有效性。然而,医生或放射科医生可能需要在临床环境中使用成像工具来直观地识别乳腺肿瘤的特性。本研究提出了超声 Nakagami 图像来可视化乳腺肿瘤的散射体特性,然后探讨了其在对良性和恶性肿瘤进行分类方面的临床性能。使用商业超声扫描仪和 7.5MHz 线性阵列换能器从 100 名患者(50 名良性和 50 名恶性病例)中采集超声背散射信号的原始数据。背散射信号用于形成乳腺肿瘤的 B 扫描和 Nakagami 图像。对于每个肿瘤,从 Nakagami 图像中感兴趣区域的像素值计算平均 Nakagami 参数。使用受试者工作特征(ROC)曲线评估 Nakagami 图像的临床性能。结果表明,良性肿瘤的 Nakagami 图像阴影与恶性病例不同。良性和恶性肿瘤的平均 Nakagami 参数分别为 0.69 +/- 0.12 和 0.55 +/- 0.12。这意味着与良性肿瘤相比,恶性肿瘤接收到的背散射信号更倾向于更接近瑞利分布,这对应于更复杂的散射体排列或组成。ROC 分析表明,ROC 曲线下的面积为 0.81 +/- 0.04,诊断准确率为 82%,灵敏度为 92%,特异性为 72%。结果表明,Nakagami 图像有助于区分良性和恶性乳腺肿瘤。

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