4.6 Article

Shear Wave Dispersion as a Potential Biomarker for Cervical Remodeling During Pregnancy: Evidence From a Non-Human Primate Model

Journal

FRONTIERS IN PHYSICS
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fphy.2020.606664

Keywords

cervix; shear wave elasticity imaging; rhesus macaque; phase velocity; group velocity; singular value decomposition; pregnancy

Funding

  1. UNAM-PAPIIT [IA104518, IN103219, IA102320]
  2. Consejo Nacional de Ciencia y Tecnologia [CVU 863045]
  3. National Institutes of Health from the National Cancer Institute [T32CA009206]
  4. Eunice Kennedy Shriver National Institute of Child Health and Human Development [F31HD082911, R21HD061896, R21HD063031, R01HD072077]

Ask authors/readers for more resources

This study identified two SWEI-based dispersion descriptors and demonstrated their potential as biomarkers for cervical remodeling during pregnancy. In a non-human primate study, descriptor S showed a significant decrease during pregnancy, with variations observed between different portions of the cervix and with maternal age. These findings highlight the importance of shear wave dispersion in tracking cervical changes during pregnancy and suggest potential applications for longitudinal human studies.
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 R of group velocities computed with particlevelocity and particle-displacement, and the slope S 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 preselection, 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-weeks 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 S 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, p < 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 (p = 0.02) and with maternal age (p = 0.008). Given the potential of shear wave dispersion to track cervical remodeling, we will extend its application to ongoing longitudinal human studies.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available