Shear Wave Liver Fibrosis Phantom

Model 039
Shear Wave Elastography Ultrasound
Measure Known Tissue Elasticity

Shear wave elasticity imaging is an emerging biomarker with many possible applications, most prominently for determining the stage of liver fibrosis in a patient without the need for invasive biopsies. The design of the Shear Wave Liver Fibrosis Phantom, Model 039, was developed and validated in a joint study sponsored by the Quantitative Imaging Biomarker Alliance, and serves as the standard reference tool for determining sources of variance in shear wave elasticity measurements.

Tissue Equivalent Technology

Our Model 039 consists of four phantoms – each filled with Zerdine® gel formulated with differing values of Young’s modulus, a tissue-average speed of sound of 1540 m/s and speckle contrast levels matching that of a healthy liver.

Designed to Comply with QIBA Standards

Certification of Young’s modulus will be provided with each phantom for proof of measurements with a precision of +/- 4%. Young’s modulus is tested on batch samples following ASTM standard D575-91 to ensure accurate elasticity. Density will also be measured to allow accurate conversion of shear wave speed to shear wave modulus and Young’s modulus.

Model 039 comes with a carry case for easy transport and phantom set up.

Key Features for Model 039:

The model 039 set contains phantoms with Young’s Modulus Values spanning the range healthy livers to those with cirrhosis, as follows:

  • Set of 4 phantoms, each with a different stiffness (Young’s modulus ranges from 2-36 kPa)
  • Enables quantitative assessment of shear wave speed measurements used in the diagnosis of diffuse liver disease
  • Certified measurement of shear wave speed according to protocol developed by Quantitative Imaging Biomarker Alliance Ultrasound Shear Wave committee
  • Re-certification of phantoms available

Custom versions of this phantom, with different values for Young’s modulus and different sizes, are available upon special request. CIRS can also produce viscoelastic versions of this phantom.

Data Sheet

Shear Wave Liver Fibrosis Phantom: Data Sheet

Andoh, Fatiha; Yue, Jin Long; Julea, Felicia; Tardieu, Marion; Noûs, Camille; Pagé, Gwenaël; Garteiser, Philippe; van Beers, Bernard; Maître, Xavier; Pellot-barakat, Claire; 'Multi-frequency MRE for elasticity quantitation and optimal tissue discrimination: a two-platform liver fibrosis mimicking phantom study'. arXiv preprint arXiv:2109.02400. 2021; View

Summary: “ In this work, we aimed at investigating the repeatability, reproducibility, robustness, accuracy and precision of MRE along optimal sampling conditions across two MRI platforms at 1.5 T and 3 T in two different sites. For that purpose, multi-frequency experiments were carried on mechanically-calibrated phantoms that mimic liver fibrosis. (Model 039 set)”
Palmeri, M; et al. 'Radiological Society of North America/Quantitative Imaging Biomarker Alliance Shear Wave Speed Bias Quantification in Elastic and Viscoelastic Phantoms'. Journal of Ultrasound in Medicine. 2021; 40 (3): 569-581. John Wiley & Sons, Inc. Hoboken, USA. View
Martiartu, Naiara Korta; Nambiar, Sherin; Kirchner, Iara Nascimento; Paverd, Catherine; Cester, Davide; Frauenfelder, Thomas; Ruby, Lisa; Rominger, Marga B; 'Sources of Variability in Shear Wave Speed and Dispersion Quantification with Ultrasound Elastography: A Phantom Study'. Ultrasound in Medicine & Biology. 2021; Elsevier. View
Warringa, Niek; Dam-Vervloet, Lida J; Boomsma, Martijn F; 'Assessment of Liver Fibrosis With Elastography Point Quantification Versus Transient Elastography'. Clinical Gastroenterology and Hepatology. 2021; 19 (3): 618-619. Elsevier. View

Summary: A new algorithm for estimating the speed of sound, used to improve image quality in ultrasound systems, was tested on a urethane phantom (the CIRS Model 42, which was recently replaced by the ATS539).
Mohammed, Shahed; Honarvar, Mohammad; Zeng, Qi; Hashemi, Hoda; Rohling, Robert; Kozlowski, Piotr; Salcudean, Septimiu; 'Multifrequency 3D Elasticity Reconstruction withStructured Sparsity and ADMM'. arXiv preprint arXiv:2111.12179. 2021; View
Gilligan, Leah A; Trout, Andrew T; Bennett, Paula; Dillman, Jonathan R; 'Repeatability and agreement of shear wave speed measurements in phantoms and human livers across 6 ultrasound 2-dimensional shear wave elastography systems'. Investigative radiology. 2020; 55 (4): 191-199. LWW. View

Summary: "There is good to excellent intersystem agreement of measured SWS in elastic phantoms and in vivo livers across 6 ultrasound 2D SWE systems. Test-retest repeatability was excellent for all systems."
Song, P., Zhao, H., Urban, M., Manduca, A., Mellema, D., Greenleaf, J., & Chen, S. (n.d.). Dual-frequency shear wave motion detection. 2014 IEEE International Ultrasonics Symposium. 
Song, P., Macdonald, M., Behler, R., Lanning, J., Wang, M., Urban, M., . . . Chen, S. (n.d.). Shear wave elastography on the GE LOGIQ E9 with Comb-push Ultrasound Shear Elastography (CUSE) and time aligned sequential tracking (TAST). 2014 IEEE International Ultrasonics Symposium.
Zhao, H., Song, P., Meixner, D., Kinnick, R., Callstrom, M., Sanchez, W., . . . Chen, S. (n.d.). Liver elasticity imaging using external Vibration Multi-directional Ultrasound Shearwave Elastography (EVMUSE). 2014 IEEE International Ultrasonics Symposium. View
Shin HJ, Kim MJ, Kim HY, Roh YH, Lee MJ. Comparison of shear wave velocities on ultrasound elastography between different machines, transducers, and acquisition depths: a phantom study. Eur Radiol. 2016; View
Sasso, M., Y. Liu, J. Aron-Wisnewsky, et al. "AdipoScan: A Novel Transient Elastography-Based Tool Used to Non-Invasively Assess Subcutaneous Adipose Tissue Shear Wave Speed in Obesity." Elsevier, 2016. Web. View
Huang, SW, H. Xie, JL Robert, et al. "Phase Aberration in Ultrasound Shear Wave Elastography - Impacts on Push and Tracking." IEEE International Ultrasonics Symposium (IUS), 2016. Web. View
Carrascal, C. A., S. Chen, A. Manduca, et al. "Improved Shear Wave Group Velocity Estimation Method Based on Spatiotemporal Peak and Thresholding Motion Search." IEEE, 2017. Web. View
Takashima, M., Y. Arai, A. Kawamura, et al. "Quantitative Evaluation of Masseter Muscle Stiffness in Patients with Temporomandibular Disorders Using Shear Wave Elastography." Elsevier, 2017. Web. View
Cournane, S., Fagan, A., & Browne, J. (2012) Review of Ultrasound Elastography Quality Control and Training Test Phantoms. Ultrasound February vol. 20, no. 1-2. doi:10.1258/ult.2012.012e01 View
Long, Zaiyang, et al. “Clinical Acceptance Testing and Scanner Comparison of Ultrasound Shear Wave Elastography.” Journal of Applied Clinical Medical Physics, vol. 19, no. 3, 2018, pp. 336–342., doi:10.1002/acm2.12310. View

References

Model: 039 Modalities: ,
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