Academic Radiology
Volume 14, Issue 8 , Pages 951-958 , August 2007

Comparison of Liver Perfusion Parameters Studied With Conventional Extravascular and Experimental Intravascular CT Contrast Agents

  • Mika Kapanen, MSc

      Affiliations

    • Helsinki University Central Hospital, Department of Oncology, Box 180, 00029 HUS, Finland
    • Corresponding Author InformationAddress correspondence to: M.K.
    • ,
  • Juha Halavaara, MD

      Affiliations

    • Jorvi Hospital, Department of Radiology, Espoo, Finland
    • ,
  • Anna-Maija Häkkinen, PhD

      Affiliations

    • Helsinki University Central Hospital, Department of Oncology, Box 180, 00029 HUS, Finland

Received 26 March 2007 ,Accepted 30 April 2007.

References 

  1. Pandharipande PV, Krinsky GA, Rusinek H, et al. Perfusion imaging of the liver: current challenges and future goals. Radiology. 2005;234:661–673
  2. Miles KA, Griffiths MR. Perfusion CT: a worthwhile enhancement?. Br J Radiol. 2003;76:220–231
  3. Platt JF, Francis IR, Ellis JH, et al. Liver metastases: early detection based on abnormal contrast material enhancement at dual-phase helical CT. Radiology. 1997;205:49–53
  4. Leen E. The detection of occult liver metastases of colorectal carcinoma. J Hepatobil Pancreat Surg. 1999;1:7–15
  5. Lee TY. Functional CT: physiological models. Trends Biotechnol. 2002;20:S3–S10
  6. Canty JM, Judd RM, Brody AS, et al. First pass entry of non-ionic contrast agent into the myocardial extravascular space. Circulation. 1991;84:2071–2078
  7. Idee J, Port M, Robert P, et al. Preclinical profile of the monodisperse iodinated macromolecular blood pool agent P743. Invest Radiol. 2001;36:41–49
  8. Gazelle GS, Wolf GL, McIntire GL, et al. Nanoparticulate computed tomography contrast agents for blood pool and liver-spleen imaging. Acad Radiol. 1994;1:373–376
  9. Materne R, Van Beers BE, Smith AM, et al. Non-invasive quantification of liver perfusion with dynamic computed tomography and a dual-input one-compartmental model. Clin Sci. 2000;99:517–525
  10. Van Beers B, Leconte I, Materne R, et al. Hepatic perfusion parameters in chronic liver disease: dynamic CT measurements correlated with disease severity. Am J Roentgenol. 2001;176:667–673
  11. Miles KA, Hayball MP, Dixon AK. Functional images of hepatic perfusion obtained with dynamic CT. Radiol. 1993;188:405–411
  12. Miles KA. Measurement of tissue perfusion by dynamic computed topography. Br J Radiol. 1991;64:409–412
  13. Bader TR, Herneth AM, Blaicher W, et al. Hepatic perfusion after liver transplantation: noninvasive measurement with dynamic single-section CT. Radiology. 1998;209:129–134
  14. Blomley MJK, Coulden R, Dawson P, et al. Liver perfusion studied with ultrafast CT. J Comp Assist Tomogr. 1995;19:424–433
  15. Wolf GL, Gazelle GS, McIntire GL, et al. Percutaneous computed tomography lymphography in the rabbit by subcutaneously injected nanoparticles. Acad Radiol. 1994;1:352–357
  16. Mullani N, Gould KL. First pass measurements of regional blood flow using external detectors. J Nucl Med. 1983;24:577–581
  17. Halavaara JT, Hamberg LH, Leong F, et al. Functional CT in the assessment of liver vascular physiology. Acad Radiol. 1996;3:946–952
  18. Kapanen MK, Halavaara JT, Häkkinen AM. Open four-compartment model in the measurement of liver perfusion. Acad Radiol. 2005;12:1542–1550
  19. Kapanen MK, Halavaara JT, Häkkinen AM. Assessment of vascular physiology of tumorous livers: comparison of two different methods. Acad Radiol. 2003;10:1021–1029
  20. Goresky CA. A linear method for determining liver sinusoidal and extravascular volumes. Am J Physiol. 1963;204:626–640
  21. Bell SD, Peters AM. Measurement of blood flow from first-pass radionuclide angiography: influence of bolus volume. Eur J Nucl Med. 1991;18:885–888
  22. Cuenod CA, Leconte I, Siauve N, et al. Early changes in liver perfusion caused by occult metastases in rats: detection with quantitative CT. Radiology. 2001;218:556–561
  23. Cuenod CA, Leconte I, Siauve N, et al. Deconvolution technique for measuring tissue perfusion by dynamic CT: application to normal and metastatic liver. Acad Radiol. 2002;9:S205–S211
  24. Fournier LS, Cuenod CA, de Bazelaire C, et al. Early modifications of hepatic perfusion measured by functional CT in a rat model of hepatocellular carcinoma using a blood pool contrast agent. Eur Radiol. 2004;14:2125–2133
  25. Materne R, Smith AM, Peeters F, et al. Assessment of hepatic perfusion parameters with dynamic MRI. Magn Reson Med. 2002;47:135–142
  26. Morales MF, Smith RE. On the theory of blood-tissue exchange of inert gases. VI. Validity of approximate uptake expressions. Bull Math Biophys. 1948;10:191–200
  27. Meier P, Zierler K. On the theory of the indicator dilution method for measurement of blood flow and volume. J Appl Physiol. 1954;6:731–744

PII: S1076-6332(07)00244-9

doi: 10.1016/j.acra.2007.04.018

Academic Radiology
Volume 14, Issue 8 , Pages 951-958 , August 2007

Article Tools

* Image Usage & Resolution