Torres Abel, Palmeri Mark L, Feltovich Helen, Hall Timothy J, Rosado-Mendez Ivan M
Departamento de Física Experimental, Instituto de Física, Universidad Nacional Autónoma de México, Mexico City, MEX.
Biomedical Engineering, Duke University, Durham, NC, USA.
Front Phys. 2021 Feb;8. doi: 10.3389/fphy.2020.606664. Epub 2021 Feb 15.
Shear wave dispersion (variation of phase velocity with frequency) occurs in tissues with layered and anisotropic microstructure and viscous components, such as the uterine cervix. This phenomenon, mostly overlooked in previous applications of cervical Shear Wave Elasticity Imaging (SWEI) for preterm birth risk assessment, is expected to change drastically during pregnancy due to cervical remodeling. Here we demonstrate the potential of SWEI-based descriptors of dispersion as potential biomarkers for cervical remodeling during pregnancy. First, we performed a simulation-based pre-selection of two SWEI-based dispersion descriptors: the ratio of group velocities computed with particle-velocity and particle-displacement, and the slope of the phase velocity vs. frequency. The pre-selection consisted of comparing the contrast-to-noise ratio (CNR) of dispersion descriptors in materials with different degrees of dispersion with respect to a low-dispersive medium. Shear waves induced in these media by SWEI were simulated with a finite-element model of Zener viscoelastic solids. The pre-selection also considered two denoising strategies to improve CNR: a low-pass filter with automatic frequency cutoff determination, and singular value decomposition of shear wave displacements. After pre-selection, the descriptor-denoising combination that produced the largest CNR was applied to SWEI cervix data from 18 pregnant Rhesus macaques acquired at weeks 10 (mid-pregnancy stage) and 23 (late pregnancy stage) of the 24.5-week full pregnancy. A maximum likelihood linear mixed-effects model (LME) was used to evaluate the dependence of the dispersion descriptor on pregnancy stage, maternal age, parity and other experimental factors. The pre-selection study showed that descriptor combined with singular value decomposition produced a CNR 11.6 times larger than the other descriptor and denoising strategy combinations. In the Non-Human Primates (NHP) study, the LME model showed that descriptor S significantly decreased from mid to late pregnancy (-0.37 ± 0.07 m/s-kHz per week, <0.00001) with respect to the base value of 15.5 ± 1.9 m/s-kHz. This change was more significant than changes in other SWEI features such as the group velocity previously reported. Also, S varied significantly between the anterior and posterior portions of the cervix ( =0.02) and with maternal age ( =0.008). Given the potential of shear wave dispersion to track cervical remodeling, we will extend its application to ongoing longitudinal human studies.
剪切波频散(相速度随频率的变化)发生在具有分层和各向异性微观结构以及粘性成分的组织中,比如子宫颈。这种现象在先前用于早产风险评估的宫颈剪切波弹性成像(SWEI)应用中大多被忽视,由于孕期宫颈重塑,预计其在孕期会发生显著变化。在此,我们证明基于SWEI的频散描述符作为孕期宫颈重塑潜在生物标志物的潜力。首先,我们基于模拟对两个基于SWEI的频散描述符进行了预选:用粒子速度和粒子位移计算的群速度之比,以及相速度对频率的斜率。预选包括比较不同频散程度材料中相对于低色散介质的频散描述符的对比噪声比(CNR)。通过齐纳粘弹性固体的有限元模型模拟SWEI在这些介质中诱导产生的剪切波。预选还考虑了两种去噪策略以提高CNR:具有自动频率截止确定功能的低通滤波器,以及剪切波位移的奇异值分解。预选后,将产生最大CNR的描述符 - 去噪组合应用于18只怀孕恒河猴在24.5周全孕期的第10周(孕中期)和第23周(孕晚期)获取的SWEI宫颈数据。使用最大似然线性混合效应模型(LME)来评估频散描述符对孕期、母亲年龄、产次和其他实验因素的依赖性。预选研究表明,描述符与奇异值分解相结合产生的CNR比其他描述符和去噪策略组合大11.6倍。在非人灵长类动物(NHP)研究中,LME模型表明,描述符S从孕中期到孕晚期显著下降(每周 -0.37±0.07米/秒 - 千赫,<0.00001),相对于15.5±1.9米/秒 - 千赫的基值。这种变化比之前报道的其他SWEI特征(如群速度)的变化更显著。此外,S在宫颈的前部和后部之间有显著差异( =0.02),并且与母亲年龄有关( =0.008)。鉴于剪切波频散追踪宫颈重塑的潜力,我们将把它的应用扩展到正在进行的纵向人体研究中。