DCE-MRI of hepatocellular carcinoma: perfusion quantification with Tofts model versus shutter-speed model—initial experience

Guido H. Jajamovich, Wei Huang, Cecilia Besa, Xin Li, Aneela Afzal, Hadrien A. Dyvorne, Bachir Taouli

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


Objective: To quantify hepatocellular carcinoma (HCC) perfusion and flow with the fast exchange regime-allowed Shutter-Speed model (SSM) compared to the Tofts model (TM). Materials and methods: In this prospective study, 25 patients with HCC underwent DCE-MRI. ROIs were placed in liver parenchyma, portal vein, aorta and HCC lesions. Signal intensities were analyzed employing dual-input TM and SSM models. ART (arterial fraction), Ktrans (contrast agent transfer rate constant from plasma to extravascular extracellular space), ve (extravascular extracellular volume fraction), kep (contrast agent intravasation rate constant), and τi (mean intracellular water molecule lifetime) were compared between liver parenchyma and HCC, and ART, Ktrans, ve and kep were compared between models using Wilcoxon tests and limits of agreement. Test–retest reproducibility was assessed in 10 patients. Results: ART and ve obtained with TM; ART, ve, ke and τi obtained with SSM were significantly different between liver parenchyma and HCC (p < 0.04). Parameters showed variable reproducibility (CV range 14.7–66.5 % for both models). Liver Ktrans and ve; HCC ve and kep were significantly different when estimated with the two models (p < 0.03). Conclusion: Our results show differences when computed between the TM and the SSM. However, these differences are smaller than parameter reproducibilities and may be of limited clinical significance.

Original languageEnglish (US)
Pages (from-to)49-58
Number of pages10
JournalMagnetic Resonance Materials in Physics, Biology and Medicine
Issue number1
StatePublished - Feb 1 2016


  • Hepatocellular carcinoma
  • Liver
  • MRI

ASJC Scopus subject areas

  • Biophysics
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging


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