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Derivation and analysis of viscoelastic properties in human liver: impact of frequency on fibrosis and steatosis staging.

Publication ,  Journal Article
Nightingale, KR; Rouze, NC; Rosenzweig, SJ; Wang, MH; Abdelmalek, MF; Guy, CD; Palmeri, ML
Published in: IEEE Trans Ultrason Ferroelectr Freq Control
January 2015

Commercially-available shear wave imaging systems measure group shear wave speed (SWS) and often report stiffness parameters applying purely elastic material models. Soft tissues, however, are viscoelastic, and higher-order material models are necessary to characterize the dispersion associated with broadband shear waves. In this paper, we describe a robust, model-based algorithm and use a linear dispersion model to perform shear wave dispersion analysis in traditionally difficult-to-image subjects. In a cohort of 135 non-alcoholic fatty liver disease patients, we compare the performance of group SWS with dispersion analysis-derived phase velocity c(200 Hz) and dispersion slope dc/df parameters to stage hepatic fibrosis and steatosis. Area under the ROC curve (AUROC) analysis demonstrates correlation between all parameters [group SWS, c(200 Hz), and, to a lesser extent dc/df ] and fibrosis stage, whereas no correlation was observed between steatosis stage and any of the material parameters. Interestingly, optimal AUROC threshold SWS values separating advanced liver fibrosis (≥F3) from mild-to-moderate fibrosis (≤F2) were shown to be frequency-dependent, and to increase from 1.8 to 3.3 m/s over the 0 to 400 Hz shear wave frequency range.

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Published In

IEEE Trans Ultrason Ferroelectr Freq Control

DOI

EISSN

1525-8955

Publication Date

January 2015

Volume

62

Issue

1

Start / End Page

165 / 175

Location

United States

Related Subject Headings

  • ROC Curve
  • Liver Cirrhosis
  • Liver
  • Image Processing, Computer-Assisted
  • Humans
  • Finite Element Analysis
  • Fatty Liver
  • Elasticity Imaging Techniques
  • Elasticity
  • Algorithms
 

Citation

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Nightingale, K. R., Rouze, N. C., Rosenzweig, S. J., Wang, M. H., Abdelmalek, M. F., Guy, C. D., & Palmeri, M. L. (2015). Derivation and analysis of viscoelastic properties in human liver: impact of frequency on fibrosis and steatosis staging. IEEE Trans Ultrason Ferroelectr Freq Control, 62(1), 165–175. https://doi.org/10.1109/TUFFC.2014.006653
Nightingale, Kathryn R., Ned C. Rouze, Stephen J. Rosenzweig, Michael H. Wang, Manal F. Abdelmalek, Cynthia D. Guy, and Mark L. Palmeri. “Derivation and analysis of viscoelastic properties in human liver: impact of frequency on fibrosis and steatosis staging.IEEE Trans Ultrason Ferroelectr Freq Control 62, no. 1 (January 2015): 165–75. https://doi.org/10.1109/TUFFC.2014.006653.
Nightingale KR, Rouze NC, Rosenzweig SJ, Wang MH, Abdelmalek MF, Guy CD, et al. Derivation and analysis of viscoelastic properties in human liver: impact of frequency on fibrosis and steatosis staging. IEEE Trans Ultrason Ferroelectr Freq Control. 2015 Jan;62(1):165–75.
Nightingale, Kathryn R., et al. “Derivation and analysis of viscoelastic properties in human liver: impact of frequency on fibrosis and steatosis staging.IEEE Trans Ultrason Ferroelectr Freq Control, vol. 62, no. 1, Jan. 2015, pp. 165–75. Pubmed, doi:10.1109/TUFFC.2014.006653.
Nightingale KR, Rouze NC, Rosenzweig SJ, Wang MH, Abdelmalek MF, Guy CD, Palmeri ML. Derivation and analysis of viscoelastic properties in human liver: impact of frequency on fibrosis and steatosis staging. IEEE Trans Ultrason Ferroelectr Freq Control. 2015 Jan;62(1):165–175.

Published In

IEEE Trans Ultrason Ferroelectr Freq Control

DOI

EISSN

1525-8955

Publication Date

January 2015

Volume

62

Issue

1

Start / End Page

165 / 175

Location

United States

Related Subject Headings

  • ROC Curve
  • Liver Cirrhosis
  • Liver
  • Image Processing, Computer-Assisted
  • Humans
  • Finite Element Analysis
  • Fatty Liver
  • Elasticity Imaging Techniques
  • Elasticity
  • Algorithms