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Investigation on the optimal position for the quantification of hepatic perfusion by use of dynamic contrast-enhanced computed tomography in rats

Abstract

Our purpose in this study was to investigate the optimal position for the quantification of hepatic perfusion by using a dual-input, single-compartment model and dynamic contrast-enhanced computed tomography (DCE-CT) in rats. The DCE-CT studies were performed with the animals in the supine and prone position, with an interval of 1 day, on six male Sprague–Dawley rats. The distance between the inferior vena cava (IVC) and portal vein was calculated. The arterial hepatic blood flow (AHBF) and portal hepatic blood flow (PHBF) were also estimated by use of time–density curves (TDCs) in the aorta, portal vein, and liver. The distance between the IVC and portal vein in the supine position (3.68 ± 0.22 mm) was significantly greater than that in the prone position (2.56 ± 0.19 mm). The estimated AHBF (102.1 ± 8.9 ml/100 ml/min) and PHBF values (114.8 ± 19.7 ml/100 ml/min) in the prone position were significantly overestimated and underestimated, respectively, as compared to those in the supine position (76.1 ± 4.2 ml/100 ml/min for AHBF and 235.1 ± 17.3 ml/100 ml/min for PHBF). We concluded that the supine position was more appropriate than the prone position for the quantification of hepatic perfusion by use of a dual-input, single-compartment model and DCE-CT in rats, because the TDC in the portal vein is affected less by the TDC in the IVC in the supine position than in the prone position.

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References

  1. Materne R, Van Beers BE, Smith AM, Leconte I, Jamart J, Dehoux J-P, et al. Non-invasive quantification of hepatic perfusion with dynamic computed tomography and a dual input one-compartmental model. Clin Sci. 2000;99:517–25.

    CAS  Article  PubMed  Google Scholar 

  2. Sabbá C, Ferraioli G, Sarin SK, Lerner E, Groszmann RJ, Taylor KJ. Feasibility spectrum for Doppler flowmetry of splanchnic vessels in normal and cirrhotic populations. J Ultrasound Med. 1990;9:705–10.

    PubMed  Google Scholar 

  3. Miles KA, Hayball MP, Dixon AK. Functional images of hepatic perfusion obtained with dynamic CT. Radiology. 1993;188:405–11.

    CAS  Article  PubMed  Google Scholar 

  4. Blomley MJK, Coulden R, Dawson P, Kormano M, Donlan P, Bufkin C, et al. Hepatic perfusion studied with ultrafast CT. J Comp Assist Tomogr. 1995;19:424–33.

    CAS  Article  Google Scholar 

  5. Iwasa M, Nakamura K, Nakagawa T, Watanabe S, Katoh H, Kinosada Y, et al. Single photon emission computed tomography to determine effective hepatic blood flow and intrahepatic shunting. Hepatology. 1995;21:359–65.

    CAS  Article  PubMed  Google Scholar 

  6. Munk OL, Bass L, Roelsgaard K, Bender D, Hansen SB, Keiding S. Liver kinetics of glucose analogs measured in pigs by PET: importance of dual-input blood sampling. J Nucl Med. 2001;42:795–801.

    CAS  PubMed  Google Scholar 

  7. Materne R, Smith AM, Peeters F, Dehoux JP, Keyeux A, Horsmans Y, et al. Assessment of hepatic perfusion parameters with dynamic MRI. Magn Reson Med. 2002;47:135–42.

    CAS  Article  PubMed  Google Scholar 

  8. Miyazaki S, Murase K, Yoshikawa T, Morimoto S, Ohno Y, Sugimura K. A quantitative method for estimating hepatic blood flow using a dual-input single-compartment model. Br J Radiol. 2008;81:790–800.

    CAS  Article  PubMed  Google Scholar 

  9. Cuenod CA, Leconte I, Slauve N, Resten A, Dromain C, Poulet B, et al. Early changes in hepatic perfusion caused by occult metastases in rats: detection with quantitative CT. Radiology. 2001;218:556–61.

    CAS  Article  PubMed  Google Scholar 

  10. Kubo H, Harada M, Ishikawa M, Nishitani H. Hemodynamic changes with liver fibrosis measured by dynamic contrast-enhanced MRI in rat. Magn Reson Med Sci. 2006;5:65–71.

    Article  PubMed  Google Scholar 

  11. Murase K, Kikuchi K, Miki H, Shimizu T, Ikezoe J. Determination of arterial input function using fuzzy clustering for quantification of cerebral blood flow with dynamic susceptibility contrast-enhanced MR imaging. J Magn Reson Imaging. 2001;13:797–806.

    CAS  Article  PubMed  Google Scholar 

  12. Murase K, Miyazaki S, Yang X. An efficient method for calculating kinetic parameters in a dual-input single-compartment model. Br J Radiol. 2007;80:371–5.

    CAS  Article  PubMed  Google Scholar 

  13. Miyazaki S, Yamazaki Y, Murase K. Error analysis of the quantification of hepatic perfusion using a dual-input single-compartment model. Phys Med Biol. 2008;53:5927–46.

    Article  PubMed  Google Scholar 

  14. Brix G, Bahner ML, Hoffmann U, Horvath A, Schreiber W. Regional blood flow, capillary permeability, and compartmental volumes: measurement with dynamic CT––initial experience. Radiology. 1999;210:269–76.

    CAS  Article  PubMed  Google Scholar 

  15. Murase K, Tachibana A, Kusakabe Y, Matsuura R, Miyazaki S. A method for quantitative assessment of renal function using dynamic contrast-enhanced computed tomography: evaluation of drug-induced nephrotoxicity in rats. Med Phys. 2008;35:5768–76.

    CAS  Article  PubMed  Google Scholar 

  16. Murase K. Efficient method for calculating kinetic parameters using T1-weighted dynamic contrast-enhanced magnetic resonance imaging. Magn Reson Med. 2004;51:858–62.

    Article  PubMed  Google Scholar 

  17. Hofstetter J, Suckow MA, Hickman DL. Morphophysiology. In: Suckow MA, Weisbroth SH, Franklin CL, editors. The laboratory rat. second ed. Burlington: Academic Press; 2005. p. 106.

    Google Scholar 

  18. Sugimoto H, Kaneko T, Hirota M, Inoue S, Takeda S, Nakao A. Physical hemodynamic interaction between portal venous and hepatic arterial blood flow in humans. Liver Int. 2005;25:282–7.

    Article  PubMed  Google Scholar 

  19. Fournier LS, Cuenod CA, de Bazelaire C, Siauve N, Rosty C, Tran PL, 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;14:2125–33.

    Article  PubMed  Google Scholar 

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Acknowledgment

The authors are grateful to the reviewers and Associate Editor of Radiological Physics and Technology for their useful suggestions and comments to improve our manuscript.

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Correspondence to Kenya Murase.

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Miyazaki, S., Tachibana, A., Kitamura, A. et al. Investigation on the optimal position for the quantification of hepatic perfusion by use of dynamic contrast-enhanced computed tomography in rats. Radiol Phys Technol 2, 183–188 (2009). https://doi.org/10.1007/s12194-009-0063-4

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  • DOI: https://doi.org/10.1007/s12194-009-0063-4

Keywords

  • Hepatic perfusion
  • Dual-input single-compartment model
  • Dynamic contrast-enhanced CT
  • Supine and prone positions