Wirtzfeld Lauren A, Ghoshal Goutam, Rosado-Mendez Ivan M, Nam Kibo, Park Yeonjoo, Pawlicki Alexander D, Miller Rita J, Simpson Douglas G, Zagzebski James A, Oelze Michael L, Hall Timothy J, O'Brien William D
Departments of Electrical and Computer Engineering (L.A.W., G.G., A.D.P., R.J.M., M.L.O., W.D.O.) and Statistics (Y.P., D.G.S.), University of Illinois at Urbana-Champaign, Urbana, Illinois USA; and Department of Medical Physics, University of Wisconsin, Madison, Wisconsin USA (I.M.R.-M., K.N., J.A.Z., T.J.H.).
J Ultrasound Med. 2015 Aug;34(8):1373-83. doi: 10.7863/ultra.34.8.1373.
Quantitative ultrasound estimates such as the frequency-dependent backscatter coefficient (BSC) have the potential to enhance noninvasive tissue characterization and to identify tumors better than traditional B-mode imaging. Thus, investigating system independence of BSC estimates from multiple imaging platforms is important for assessing their capabilities to detect tissue differences.
Mouse and rat mammary tumor models, 4T1 and MAT, respectively, were used in a comparative experiment using 3 imaging systems (Siemens, Ultrasonix, and VisualSonics) with 5 different transducers covering a range of ultrasonic frequencies.
Functional analysis of variance of the MAT and 4T1 BSC-versus-frequency curves revealed statistically significant differences between the two tumor types. Variations also were found among results from different transducers, attributable to frequency range effects. At 3 to 8 MHz, tumor BSC functions using different systems showed no differences between tumor type, but at 10 to 20 MHz, there were differences between 4T1 and MAT tumors. Fitting an average spline model to the combined BSC estimates (3-22 MHz) demonstrated that the BSC differences between tumors increased with increasing frequency, with the greatest separation above 15 MHz. Confining the analysis to larger tumors resulted in better discrimination over a wider bandwidth.
Confining the comparison to higher ultrasonic frequencies or larger tumor sizes allowed for separation of BSC-versus-frequency curves from 4T1 and MAT tumors. These constraints ensure that a greater fraction of the backscattered signals originated from within the tumor, thus demonstrating that statistically significant tumor differences were detected.
诸如频率依赖性背向散射系数(BSC)之类的定量超声估计值有潜力增强无创组织特征描述,并比传统B模式成像更好地识别肿瘤。因此,研究来自多个成像平台的BSC估计值的系统独立性对于评估它们检测组织差异的能力很重要。
分别使用小鼠和大鼠乳腺肿瘤模型4T1和MAT,在一个比较实验中使用3种成像系统(西门子、超声尼克斯和VisualSonics)以及5种不同的换能器,这些换能器覆盖了一系列超声频率。
对MAT和4T1的BSC与频率曲线进行方差功能分析,结果显示两种肿瘤类型之间存在统计学上的显著差异。在不同换能器的结果中也发现了差异,这归因于频率范围效应。在3至8兆赫时,使用不同系统的肿瘤BSC功能在肿瘤类型之间没有差异,但在10至20兆赫时,4T1和MAT肿瘤之间存在差异。对合并的BSC估计值(3 - 22兆赫)拟合平均样条模型表明,肿瘤之间的BSC差异随频率增加而增大,在15兆赫以上分离度最大。将分析局限于较大的肿瘤,可在更宽的带宽上实现更好的区分。
将比较局限于更高的超声频率或更大的肿瘤尺寸,可以分离4T1和MAT肿瘤的BSC与频率曲线。这些限制确保了更大比例的背向散射信号源自肿瘤内部,从而表明检测到了具有统计学意义的肿瘤差异。