In vivo liver tissue mechanical properties by transient elastography: Comparison with dynamic mechanical analysis

Chatelin, Simon; Oudry, Jennifer; Périchon, Nicolas; Sandrin, Laurent; Allemann, Pierre; Soler, Luc; Willinger, Rémy

doi:10.3233/bir-2011-0584

Cited by 63 publications

(45 citation statements)

References 23 publications

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“…Low contrast or tumours softer than the surrounding background may be a useful indicator of primary hepatic cancer. Interestingly, tan δ values and variability were similar for both malignant and background tissue, similar to those previously reported in healthy animal tissue (Chatelin et al , 2011; Kiss et al , 2004). …”

Section: Discussionsupporting

confidence: 87%

“…The strain-rate dependent behaviour of bovine liver tissue has been investigated (Pervin et al , 2011; Roan and Vemaganti, 2011). In a porcine model, the effects of perfusion on liver tissue mechanics has been studied (Kerdok et al , 2006), and one dimensional transient elastography stiffness estimates have been compared to dynamic mechanical analysis (Chatelin et al , 2011). Dynamic compression testing has also been used to quantify the viscoelastic properties of normal and ablated canine hepatic tissue (Kiss et al , 2004; Kiss et al , 2009).…”

Section: Introductionmentioning

confidence: 99%

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Characterizing the compression-dependent viscoelastic properties of human hepatic pathologies using dynamic compression testing

et al. 2012

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Recent advances in elastography have provided several imaging modalities capable of quantifying the elasticity of tissue, an intrinsic tissue property. This information is useful for determining tumour margins and may also be useful for diagnosing specific tumour types. In this study, we used dynamic compression testing to quantify the viscoelastic properties of 16 human hepatic primary and secondary malignancies and their corresponding background tissue obtained following surgical resection. Two additional backgrounds were also tested. An analysis of the background tissue showed that F4-graded fibrotic liver tissue was significantly stiffer than F0-graded tissue, with a modulus contrast of 4:1. Steatotic liver tissue was slightly stiffer than normal liver tissue, but not significantly so. The tumour-to-background storage modulus contrast of hepatocellular carcinomas, a primary tumour, was approximately 1:1, and the contrast decreased with increasing fibrosis grade of the background tissue. Ramp testing showed that the background stiffness increased faster than the malignant tissue. Conversely, secondary tumours were typically much stiffer than the surrounding background, with a tumour-to-background contrast of 10:1 for colon metastases and 10:1 for cholangiocarcinomas. Ramp testing showed that colon metastases stiffened faster than their corresponding backgrounds. These data have provided insights into the mechanical properties of specific tumour types, which may prove beneficial as the use of quantitative stiffness imaging increases.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Characterizing the compression-dependent viscoelastic properties of human hepatic pathologies using dynamic compression testing

et al. 2012

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“…Dynamic elastometry has been used to obtain the elastic properties of porcine liver tissue under HIFU ablation and resulted in 26 % underestimation of the Young's modulus as measured by mechanical testing (Shi et al 1999). More recently, the results of transient elastography in characterizing the porcine liver shear modulus in vivo have been found to be in good agreement with those of dynamic shear testing ex vivo (Chatelin et al 2011). Gao et al have performed shear, compression and tensile mechanical testing on porcine livers ex vivo and used the experimental data to develop energy-based constitutive models of liver tissue (Gao et al 2010).…”

Section: Introductionmentioning

confidence: 57%

“…Given the metabolic nature of liver tissues, it is expected that the mechanical and structural properties of the samples postmortem not only varied across the tissue samples, but was also different from the liver tissue in vivo . Nevertheless, ex vivo findings on mechanical and structural properties of liver under healthy and pathological conditions have widely been used to better understand the disease mechanisms and in vivo findings (Brunon et al 2010; Gao et al 2010; Klatt et al 2010; Chatelin et al 2011; Huang et al 2011; DeWall et al 2012). The primary objective of this study was to obtain the tissue mechanical property contrast between the lesion and the background.…”

Section: Discussionmentioning

confidence: 99%

Ex Vivo Characterization of Canine Liver Tissue Viscoelasticity after High-Intensity Focused Ultrasound Ablation

Shahmirzadi

Hou

Chen

et al. 2014

Ultrasound in Medicine & Biology

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Elasticity imaging has shown great promise in detecting High Intensity Focused Ultrasound (HIFU) lesions based on their distinct biomechanical properties. However, quantitative mechanical properties of the tissue and the optimal intensity for obtaining the best contrast parameters remain scarce. In this study, fresh canine livers were ablated using combinations of ISPTA intensities of 5.55, 7.16 and 9.07 kW/cm2 and time durations of 10 and 30 s ex vivo; leading to six groups of ablated tissues. Biopsy samples were then interrogated using dynamic shear mechanical testing within the range of 0.1-10 Hz to characterize the post-ablation tissue viscoelastic properties. All mechanical parameters were found to be frequency dependent. Compared to the unablated cases, all six groups of ablated tissues showed statistically-significant higher complex shear modulus and shear viscosity. However, among the ablated groups, both complex shear modulus and shear viscosity were found to monotonically increase in groups 1-4 (5.55 kW/cm2 for 10 s, 7.16 kW/cm2 for 10 s, 9.07 kW/cm2 & 10 s, and 5.55 kW/cm2 & 30 s, respectively), but decrease in groups 5 and 6 (7.16 kW/cm2 for 30 s, and 9.07 kW/cm2 for 30 s, respectively). For groups 5 and 6, the temperature was expected to exceed the boiling point, and therefore, the decreased stiffening could be due to the compromised integrity of the tissue microstructure. Future studies are needed to estimate the tissue mechanical properties in vivo and perform real-time monitoring of tissue alterations during ablation.

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“…Neglecting the effect of vascular pressure might drastically change the values of the estimated parameters. This was shown experimentally, e.g., in [11], where the shear modulus values obtained via elastography ex-vivo were much lower than those found in vivo. These observations demonstrate that the inverse modeling of tissue should be based on effective material models (at the scale of available data) that are able to capture the influence of microscopic vasculature (and related pressures) on the coarse mechanical parameters (Lamé coefficients).…”

Section: Characterization Of Vascularized Tissue Propertiesmentioning

confidence: 73%

Multiscale modeling of vascularized tissues via nonmatching immersed methods

Heltai

Caiazzo

2019

Numer Methods Biomed Eng

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We consider a multiscale approach based on immersed methods for the efficient computational modeling of tissues composed of an elastic matrix (in two or three-dimensions) and a thin vascular structure (treated as a co-dimension two manifold) at a given pressure. We derive different variational formulations of the coupled problem, in which the effect of the vasculature can be surrogated in the elasticity equations via singular or hyper-singular forcing terms. These terms only depend on information defined on co-dimension two manifolds (such as vessel center line, cross sectional area, and mean pressure over cross section), thus drastically reducing the complexity of the computational model. We perform several numerical tests, ranging from simple cases with known exact solutions to the modeling of materials with random distributions of vessels. In the latter case, we use our immersed method to perform an in silico characterization of the mechanical properties of the effective biphasic material tissue via statistical simulations.

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In vivo liver tissue mechanical properties by transient elastography: Comparison with dynamic mechanical analysis

Cited by 63 publications

References 23 publications

Characterizing the compression-dependent viscoelastic properties of human hepatic pathologies using dynamic compression testing

Characterizing the compression-dependent viscoelastic properties of human hepatic pathologies using dynamic compression testing

Ex Vivo Characterization of Canine Liver Tissue Viscoelasticity after High-Intensity Focused Ultrasound Ablation

Multiscale modeling of vascularized tissues via nonmatching immersed methods

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