In-vivo imaging results with ultrasound tomography: report on an ongoing study at the Karmanos Cancer Institute
In-vivo imaging results with ultrasound tomography: report on an ongoing study at the Karmanos Cancer Institute
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超声断层扫描的体内成像结果：卡马诺斯癌症研究所正在进行的研究报告
DOI：
10.1117/12.845646
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Erik West
中科院分区：
文献类型：
--
作者：
N. Duric;P. Littrup;Priti Chandiwala;Cuiping Li;Steven Schmidt;L. Myc;O. Rama;Lisa Bey;Jessica Lupinacci;Bryan J. Ranger;A. Szczepanski;Erik West
我们的实验室一直致力于开发用于乳房成像的超声断层扫描(UST)。为此，我们一直在卡马诺斯癌症研究所(KCI)的乳房中心开发和测试临床原型。我们原型的开发是由临床反馈指导的，这些反馈来自过去4年招募的300多名患者的数据。我们的技术生成整个乳房反射图像以及声速和衰减的声学参数图像。这些图像的组合显示了乳房的主要解剖结构，包括脂肪、实质、纤维间质和肿块。融合成像，利用阈值，被证明是可视化的肿块特征，并促进了癌症和良性肿块的分离。这些结果表明，使用声层析成像技术进行非操作员全乳腺成像以及检测和表征癌性乳腺肿块是可行的。对原型图像的分析表明，我们可以检测到当前超声-BIRADS标准所记录的各种质量属性，如质量形状、声学质量属性和肿瘤环境的结构。这些属性有助于量化当前的BIRADS标准(例如“阴影”或高衰减)，并为定义癌症的独特特征提供更大的可能性。UST检测和表征乳腺肿块的潜力是通过对86个肿块的UST测量来量化的，这些肿块来自最新版本的原型成像患者的最新队列。我们的初步结果表明，为了支持更大规模的未来试验，开发正式的预测模型是必要的。
Our laboratory has focused on the development of ultrasound tomography (UST) for breast imaging. To that end we have been developing and testing a clinical prototype in the Karmanos Cancer Institute's (KCI) breast center. The development of our prototype has been guided by clinical feedback from data accumulated from over 300 patients recruited over the last 4 years. Our techniques generate whole breast reflection images as well as images of the acoustic parameters of sound speed and attenuation. The combination of these images reveals major breast anatomy, including fat, parenchyma, fibrous stroma and masses. Fusion imaging, utilizing thresholding, is shown to visualize mass characterization and facilitates separation of cancer from benign masses. These results indicate that operator-independent whole-breast imaging and the detection and characterization of cancerous breast masses are feasible using acoustic tomography techniques. Analyses of the prototype images suggests that we can detect the variety of mass attributes noted by current ultrasound-BIRADS criteria, such as mass shape, acoustic mass properties and architecture of the tumor environment. These attributes help quantify current BIRADS criteria (e.g. "shadowing" or high attenuation) and provide greater possibilities for defining a unique signature of cancer. The potential for UST to detect and characterize breast masses was quantified using UST measurements of 86 masses from the most recent cohort of patients imaged with the latest version of our prototype. Our preliminary results suggest that the development of a formal predictive model, in support of larger future trials, is warranted.
影响因子：
120.7
作者：
Berg, Wendie A.;Blume, Jeffrey D.;Boparai, Karan
通讯作者：
Boparai, Karan
影响因子：
3.8
作者：
Duric, Nebojsa;Littrup, Peter;Glide, Carri
通讯作者：
Glide, Carri