Mouse Liver Dispersion for the Diagnosis of Early-Stage Fatty Liver Disease: A 70-Sample Study

Barry, Christopher T.; Hah, Zaegyoo; Partin, Alexander; Mooney, Robert A.; Chuang, Kuang-Hsiang; Augustine, Alicia H.; Almudevar, Anthony; Cao, Wenqing; Rubens, Deborah J.; Parker, Kevin J.

doi:10.1016/j.ultrasmedbio.2013.10.016

Cited by 65 publications

(62 citation statements)

References 32 publications

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“…Shear wave dispersion has been used to characterize viscoelasticity in the breast, liver, and muscle (Barry et al, 2012, 2014; Tanter et al, 2008; Muller et al, 2009; Gennisson et al, 2010). As shown by Barry et al (2012), Deffieux et al (2013), and Nightingale et al (2015), the frequency dependence of c p can be represented as a linear function of frequency defined by an intercept c 0 and a slope d c p /d f :

c_{normalp} (f) = c_{0} + \frac{d c_{normalp}}{d f} f .

…”

Section: Introductionmentioning

confidence: 99%

Assessment of Structural Heterogeneity and Viscosity in the Cervix Using Shear Wave Elasticity Imaging: Initial Results from a Rhesus Macaque Model

Rosado‐Mendez

Palmeri

Drehfal

et al. 2017

Ultrasound in Medicine & Biology

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Shear Wave Elasticity Imaging (SWEI) shows promise for evaluating the pregnant cervix. Changes in shear wave group velocity have been attributed exclusively to changes in stiffness. This assumes homogeneity within the region of interest and purely elastic tissue behavior. However, the cervix is structurally/microstructurally heterogeneous and viscoelastic. We therefore developed strategies to investigate these complex tissue properties. SWEI was performed ex vivo on 14 unripened and 13 misoprostol-ripened cervix specimens from Rhesus macaques. After application of tests of significant and uniform shear wave displacement, as well as reliability of estimates, group velocity decreased significantly from the distal (vaginal) to proximal (uterine) end of unripened, but not ripened, specimens. Viscosity was quantified by the slope of the phase velocity vs. frequency. Dispersion was observed in both groups (median 5.5 m/s/kHz, interquartile range: 1.5–12.0 m/s/kHz), also decreasing towards the proximal cervix. This work suggests that comprehensive assessment of complex tissues such as cervix requires consideration of structural heterogeneity and viscosity.

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c_{normalp} (f) = c_{0} + \frac{d c_{normalp}}{d f} f .

…”

Section: Introductionmentioning

confidence: 99%

Assessment of Structural Heterogeneity and Viscosity in the Cervix Using Shear Wave Elasticity Imaging: Initial Results from a Rhesus Macaque Model

Rosado‐Mendez

Palmeri

Drehfal

et al. 2017

Ultrasound in Medicine & Biology

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“…These studies estimate the extent of liver stiffening due to fibrosis and/or steatosis with good agreement compared to the reference histology analysis. In vitro studies also showed the potential of elastography for viscoelastic assessment of small animal fibrotic liver using shear wave dispersion as a function of frequency (Barry et al 2012; Barry et al 2014; Chen et al 2013; Zhu et al 2014). Kidney stiffness was assessed in rats using MRE in the case of nephrocalcinosis (Shah et al 2004) and with SWE for glomerulosclerosis (Derieppe et al 2012).…”

Section: Introductionmentioning

confidence: 99%

“…The perturbation can be externally-generated as in quasi-static (Ophir et al 2002), transient (Sandrin et al 2003) and dynamic elastography (Parker et al 1990; Shi et al 1999) or Magnetic Resonance Elastography (MRE) (Godfrey et al 2013; Kruse et al 2000; Muthupillai et al 1995). Other techniques use internal stimulus as in vibroacoustography (Fatemi and Greenleaf 1998), Shear Wave Elastography (SWE) (Barry et al 2012; Barry et al 2014; Bercoff et al 2004; Chen et al 2013; Sapin-de Brosses et al 2011; Sarvazyan et al 1998; Zhu et al 2014) and Acoustic Radiation Force Impulse (ARFI) imaging (Nightingale et al 2001). Several studies have shown the clinical feasibility of elasticity imaging to assess mechanical properties of different soft tissues such as the breast (Bercoff et al 2003), the arterial wall (Couade et al 2010) and the liver (Wang et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Elasticity mapping of murine abdominal organsin vivousing harmonic motion imaging (HMI)

et al. 2016

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Recently, ultrasonic imaging of soft tissue mechanics has been increasingly studied to image otherwise undetectable pathologies. However, many underlying mechanisms of tissue stiffening remain unknown, requiring small animal studies and adapted elasticity mapping techniques. Harmonic motion imaging (HMI) assesses tissue viscoelasticity by inducing localized oscillation from a periodic acoustic radiation force. The objective of this study was to evaluate the feasibility of HMI for in vivo elasticity mapping of abdominal organs in small animals. Pathological cases, i.e. chronic pancreatitis and pancreatic cancer, were also studied in vivo to assess the capability of HMI for detection of the change in mechanical properties. A 4.5-MHz focused ultrasound transducer (FUS) generated an amplitude-modulated beam resulting in 50-Hz harmonic tissue oscillations at its focus. Axial tissue displacement was estimated using 1D-cross-correlation of RF signals acquired with a 7.8-MHz diagnostic transducer confocally aligned with the FUS. In vitro results in canine liver and kidney showed the correlation between HMI displacement and Young’s moduli measured by rheometry compression tests. HMI was able to provide reproducible elasticity maps of the mouse abdominal region in vivo allowing the identification of, from stiffest to softest, the murine kidney, pancreas, liver, and spleen. Finally, pancreata affected by pancreatitis and pancreatic cancer showed HMI displacements 1.7 and 2.2 times lower than in the control case, respectively, indicating higher stiffness. HMI displacement was correlated with the extent of fibrosis as well as detecting the very onset of stiffening even before fibrosis could be detected on H&E. This work shows that HMI can produce reliable elasticity maps of mouse abdominal region in vivo providing a crucial tool to understand pathologies affecting organ elasticity.

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“…(5). For this purpose, the effective instantaneous frequency at each point is established as its median value computed across all frames.…”

Section: Spatial Frequency Estimation Based On the Am-fm-dca Methodsmentioning

confidence: 99%

“…CWS has been successfully applied in tissue ex vivo to visualize the extent of radio frequency ablation in liver [2], to characterize human prostate tissue [3] and to assess the degree of liver steatosis in mice [4], [5]. In addition, other studies have successfully demonstrated the feasibility of CWS imaging in vivo [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Shear Wave Speed Estimation from Crawling Wave Sonoelastography: A comparison between AM-FM Dominant Component Analysis and Phase Derivation Methods

Ormachea

Rojas

Rodríguez

et al. 2014

2014 IEEE International Ultrasonics Symposium

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Crawling Wave Sonoelastography (CWS) offers quantitative estimation of shear wave speed (SWS) in soft tissues. Recently, two different methods to estimate the SWS from the crawling wave patterns have been proposed. The first method is based on the spatial phase derivation from the slowtime signal (CWS-PD) using the knowledge of the difference in vibration frequency (DVF) between external sources. The second method is based on the AM-FM Dominant Component Analysis (DCA) model, which allows estimating the spatial frequency without a-priori information of the DVF and without any noise model assumptions. In the present study, a comparison of the performance of CWS-PD and AM-FM-DCA for the estimation of SWS is presented through experiments with three gelatin phantoms with different concentrations (10%, 13% and 16%). Both CWS-PD and AM-FM-DCA provided similar SWS estimates with generally good agreement with the values obtained from mechanical measurements. Both methods presented larger errors for the 16% gelatin phantom and frequencies below 220 Hz due to the increased difficulty in tracking shear waves with longer wavelengths. These results suggest that further research may be needed for a more accurate evaluation of stiffer materials using CWS.

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Mouse Liver Dispersion for the Diagnosis of Early-Stage Fatty Liver Disease: A 70-Sample Study

Cited by 65 publications

References 32 publications

Assessment of Structural Heterogeneity and Viscosity in the Cervix Using Shear Wave Elasticity Imaging: Initial Results from a Rhesus Macaque Model

Assessment of Structural Heterogeneity and Viscosity in the Cervix Using Shear Wave Elasticity Imaging: Initial Results from a Rhesus Macaque Model

Elasticity mapping of murine abdominal organsin vivousing harmonic motion imaging (HMI)

Shear Wave Speed Estimation from Crawling Wave Sonoelastography: A comparison between AM-FM Dominant Component Analysis and Phase Derivation Methods

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