Automated palpation for breast tissue discrimination based on viscoelastic biomechanical properties
Automated palpation for breast tissue discrimination based on viscoelastic biomechanical properties
复制标题
基于粘弹性生物力学特性的乳腺组织自动触诊识别
DOI：
10.1007/s11548-014-1100-2
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发表时间：
2015
影响因子：
3
通讯作者：
and Masakatsu G. Fujie
中科院分区：
文献类型：
--
作者：
Mariko Tsukune;Yo Kobayashi;Tooyuki Miyashita;and Masakatsu G. Fujie
目的寻求准确、无创的乳腺肿瘤检测和诊断方法。特别地，已经确定了对测量乳房组织的非线性弹性和粘弹性性质的非侵入性技术的需求。为了诊断的目的，重要的是要选择一个非线性粘弹性模型与少量的参数，高度相关的组织结构。然而，传统的粘弹性模型与非线性弹性模型的组合需要大量的参数。乳腺组织的非线性粘弹性模型的基础上，一个简单的方程与少数参数的开发和test.MethodsThe非线性粘弹性特性的猪乳房软组织的实验测量新鲜离体样品。机器人触诊用于有限元模型中采用的测量。这些测量被用来计算脂肪，纤维腺体乳腺实质和肌肉的非线性粘弹性参数。在包括霍尔姆成对检验的两步统计分析中评价这些参数区分组织类型的能力。一组参数的判别误差率进行了评估的Mahalanobis distance. ResultsEx-vivo测试在猪乳房显示显着差异的非线性粘弹性参数之间的组合的三种组织类型。歧视的错误率是低之间的所有测试组合的三种组织type.Conclusionalthough组织歧视没有实现只使用一个单一的非线性粘弹性参数，一组四个非线性粘弹性参数能够可靠和准确地区分脂肪，乳腺纤维腺体组织和肌肉。
PurposeAccurate, noninvasive methods are sought for breast tumor detection and diagnosis. In particular, a need for noninvasive techniques that measure both the nonlinear elastic and viscoelastic properties of breast tissue has been identified. For diagnostic purposes, it is important to select a nonlinear viscoelastic model with a small number of parameters that highly correlate with histological structure. However, the combination of conventional viscoelastic models with nonlinear elastic models requires a large number of parameters. A nonlinear viscoelastic model of breast tissue based on a simple equation with few parameters was developed and tested.MethodsThe nonlinear viscoelastic properties of soft tissues in porcine breast were measured experimentally using fresh ex vivo samples. Robotic palpation was used for measurements employed in a finite element model. These measurements were used to calculate nonlinear viscoelastic parameters for fat, fibroglandular breast parenchyma and muscle. The ability of these parameters to distinguish the tissue types was evaluated in a two-step statistical analysis that included Holm’s pairwisetest. The discrimination error rate of a set of parameters was evaluated by the Mahalanobis distance.ResultsEx vivo testing in porcine breast revealed significant differences in the nonlinear viscoelastic parameters among combinations of three tissue types. The discrimination error rate was low among all tested combinations of three tissue types.ConclusionAlthough tissue discrimination was not achieved using only a single nonlinear viscoelastic parameter, a set of four nonlinear viscoelastic parameters were able to reliably and accurately discriminate fat, breast fibroglandular tissue and muscle.