Skip to main content
Log in

Correlation between acoustic radiation force impulse (ARFI)-based tissue elasticity measurements and perfusion parameters acquired by perfusion CT in cirrhotic livers: a proof of principle

  • Original Article
  • Published:
Journal of Medical Ultrasonics Aims and scope Submit manuscript

A Letter to the Editor to this article was published on 04 June 2019

Abstract

Purpose

To investigate whether liver stiffness measured by acoustic radiation force impulse (ARFI) sonoelastography always correlates with the liver perfusion parameters quantified by perfusion CT in patients with known liver cirrhosis.

Methods

Sonoelastography and perfusion CT were performed in 50 patients (mean age 65.5; range 45–87 years) with liver cirrhosis, who were classified according to Child–Pugh into class A (30/50, 60%), B (17/50, 34%), and C (3/50, 6%). For standardized ARFI measurements in the left liver lobe at a depth of 4 cm, a convex 6-MHz probe was used. CT examinations were performed using 80 kV, 100 mAs, and 50 ml of iodinated contrast agent injected at 5 ml/s. Using standardized region-of-interest measurements, we quantified arterial, portal venous, and total liver perfusion.

Results

There was a significant linear correlation between tissue stiffness and arterial liver perfusion (p = 0.015), and also when limiting the analysis to patients with histology (p = 0.019). In addition, there was a positive correlation between the total blood supply (arterial + portal-venous liver perfusion) to the liver and tissue stiffness (p = 0.001; with histology, p = 0.027). Shear wave velocity increased with higher Child–Pugh stages (p = 0.013).

Conclusion

The degree of tissue stiffness in cirrhotic livers correlates expectedly—even if only moderately—with the magnitude of arterial liver perfusion and total liver perfusion. As such, liver elastography remains the leading imaging tool in assessing liver fibrosis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Yang YY, Lin HC. Alteration of intrahepatic microcirculation in cirrhotic livers. J Chin Med Assoc. 2015;78:430–7.

    Article  PubMed  Google Scholar 

  2. Eipel C, Abshagen K, Vollmar B. Regulation of hepatic blood flow: the hepatic arterial buffer response revisited. World J Gastroenterol. 2010;16:6046–57 (Review).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Bolognesi M, Di Pascoli M, Sacerdoti D. Clinical role of non-invasive assessment of portal hypertension. World J Gastroenterol. 2017;23:1–10.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Lee MJ, Kim MJ, Han KH, et al. Age-related changes in liver, kidney, and spleen stiffness in healthy children measured with acoustic radiation force impulse imaging. Eur J Radiol. 2013;82:e290–4.

    Article  PubMed  Google Scholar 

  5. Zhang D, Chen M, Zhou G. The clinical application of acoustic radiation force impulse imaging and transient elastography in chronic hepatitis B. Ultrasound Med Biol. 2016;42:1026.

    Article  PubMed  Google Scholar 

  6. Srinivasa Babu A, Wells ML, Teytelboym OM, et al. Elastography in chronic liver disease: modalities, techniques, limitations, and future directions. Radiographics. 2016;36:1987–2006.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Jiao Y, Dong F, Wang H, et al. Shear wave elastography imaging for detecting malignant lesions of the liver: a systematic review and pooled meta-analysis. Med Ultrason. 2017;19:16–22.

    Article  PubMed  Google Scholar 

  8. Hashemi SA, Alavian SM, Gholami-Fesharaki M. Assessment of transient elastography (FibroScan) for diagnosis of fibrosis in non-alcoholic fatty liver disease: a systematic review and meta-analysis. Caspian J Intern Med. 2016;7:242–52.

    PubMed  PubMed Central  Google Scholar 

  9. Karagoz E, Ozturker C, Sonmez G. Noninvasive evaluation of liver fibrosis: supersonic shear imaging or acoustic radiation force impulse imaging? Radiology. 2016;279:979–80.

    Article  PubMed  Google Scholar 

  10. Peng Y, Qi X, Guo X. Child–Pugh versus MELD score for the assessment of prognosis in liver cirrhosis: a systematic review and meta-analysis of observational studies. Medicine (Baltimore). 2016;95:e2877.

    Article  Google Scholar 

  11. Shetty K, Rybicki L, Carey WD. The Child–Pugh classification as a prognostic indicator for survival in primary sclerosing cholangitis. Hepatology. 1997;25:1049–53.

    Article  CAS  PubMed  Google Scholar 

  12. Lautt WW, Greenway CV. Hepatic venous compliance and role of liver as a blood reservoir. Am J Physiol. 1976;231:292–5.

    Article  CAS  PubMed  Google Scholar 

  13. Lee DH, Lee JM, Klotz E, et al. Multiphasic dynamic computed tomography evaluation of liver tissue perfusion characteristics using the dual maximum slope model in patients with cirrhosis and hepatocellular carcinoma: a feasibility study. Investig Radiol. 2016;51:430–4.

    Article  Google Scholar 

  14. Klotz E, Haberland U, Glatting G, et al. Technical prerequisites and imaging protocols for CT perfusion imaging in oncology. Eur J Radiol. 2015;84:2359–67.

    Article  PubMed  Google Scholar 

  15. Feng YH, Hu XD, Zhai L, et al. Shear wave elastography results correlate with liver fibrosis histology and liver function reserve. World J Gastroenterol. 2016;22:4338–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Takahashi H, Ono N, Eguchi Y, et al. Evaluation of acoustic radiation force impulse elastography for fibrosis staging of chronic liver disease: a pilot study. Liver Int. 2010;30:538–45.

    Article  PubMed  Google Scholar 

  17. Hu X, Qiu L, Liu D, et al. Acoustic Radiation Force Impulse (ARFI) Elastography for non-invasive evaluation of hepatic fibrosis in chronic hepatitis B and C patients: a systematic review and meta-analysis. Med Ultrason. 2017;19:23–31.

    Article  PubMed  Google Scholar 

  18. Chen ML, Zeng QY, Huo JW, et al. Assessment of the hepatic microvascular changes in liver cirrhosis by perfusion computed tomography. World J Gastroenterol. 2009;15:3532–7.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Wang L, Fan J, Ding X, et al. Assessment of liver fibrosis in the early stages with perfusion CT. Int J Clin Exp Med. 2015;8:15276–82.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Guan S, Zhao WD, Zhou KR, et al. CT perfusion at early stage of hepatic diffuse disease. World J Gastroenterol. 2005;11:3465–7.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Kaufmann S, Horger T, Oelker A, et al. Characterization of hepatocellular carcinoma (HCC) lesions using a novel CT-based volume perfusion (VPCT) technique. Eur J Radiol. 2015;84:1029–35.

    Article  CAS  PubMed  Google Scholar 

  22. Rathmann N, Kara K, Budjan J, et al. Parenchymal liver blood volume and dynamic volume perfusion CT measurements of hepatocellular carcinoma in patients undergoing transarterial chemoembolization. Anticancer Res. 2017;37:5681–5.

    PubMed  Google Scholar 

  23. Ippolito D, Sironi S, Pozzi M, et al. Perfusion computed tomographic assessment of early hepatocellular carcinoma in cirrhotic liver disease: initial observations. J Comput Assist Tomogr. 2008;32:855–8.

    Article  PubMed  Google Scholar 

  24. Hur S, Jae HJ, Jang Y, et al. Quantitative assessment of foot blood flow by using dynamic volume perfusion CT technique: a feasibility study. Radiology. 2016;279:195–206.

    Article  PubMed  Google Scholar 

  25. Zhan Y, Wu Y, Chen J, et al. Value of liver perfusion imaging of 256-slice CT in evaluation of the cirrhosis. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2016;41:44–50.

    PubMed  Google Scholar 

  26. Motosugi U, Ichikawa T, Sou H, et al. Multi-organ perfusion CT in the abdomen using a 320-detector row CT scanner: preliminary results of perfusion changes in the liver, spleen, and pancreas of cirrhotic patients. Eur J Radiol. 2012;81:2533–7.

    Article  PubMed  Google Scholar 

  27. Van Beers BE, Leconte I, Materne R, et al. Hepatic perfusion parameters in chronic liver disease: dynamic CT measurements correlated with disease severity. AJR Am J Roentgenol. 2001;176:667–73.

    Article  PubMed  Google Scholar 

  28. Liu H, Liu J, Zhang Y, et al. Contrast-enhanced ultrasound and computerized tomography perfusion imaging of a liver fibrosis-early cirrhosis in dogs. J Gastroenterol Hepatol. 2016;31:1604–10.

    Article  CAS  PubMed  Google Scholar 

  29. Chang S, Kim MJ, Kim J, et al. Variability of shear wave velocity using different frequencies in acoustic radiation force impulse (ARFI) elastography: a phantom and normal liver study. Ultraschall Med. 2013;34:260–5.

    CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael Esser.

Ethics declarations

Ethical statements

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Conflict of interest

Michael Esser, Michael Bitzer, Manuel Kolb, Jan Fritz, Mustafa Kurucay, and Christer Ruff declare that they have no conflicts of interest. Marius Horger declares that the institution has received national grants financed by the “Bundesministerium für Bildung und Forschung” (BMBF), Germany.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Esser, M., Bitzer, M., Kolb, M. et al. Correlation between acoustic radiation force impulse (ARFI)-based tissue elasticity measurements and perfusion parameters acquired by perfusion CT in cirrhotic livers: a proof of principle. J Med Ultrasonics 46, 81–88 (2019). https://doi.org/10.1007/s10396-018-0886-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10396-018-0886-x

Keywords

Navigation