Pharmacokinetic Compartment Modeling을 이용한 나선식 CT 에서의 간암-간 대조 곡선의 Simulation

Simulation of lesion-to-liver contrast difference curves in Dynamic Hepatic CT with Pharmacokinetic Compartment Modeling

  • 김수정 (서울대학교 대학원 협동과정 의용생체공학) ;
  • 이경호 (서울대학교 의과대학 방사선과학 교실) ;
  • 김종효 (서울대학교 의과대학 방사선과학 교실) ;
  • 민병구 (서울대학교 의과대학 의공학 교실)
  • Kim, S.J. (Department of Biomedical Engineering, College of Engineering, Seoul National University) ;
  • Lee, K.H. (Department of Radiology, College of Medicine, Seoul National University) ;
  • Kim, J.H. (Department of Radiology, College of Medicine, Seoul National University) ;
  • Min, B.G. (Department of Biomedical Engineering, College of Medicine, Seoul National University)
  • 발행 : 1998.11.20

초록

Contrast-enhanced CT has an important role in the assessment of liver lesions. However, the optimal protocol to get most effective result is not clear. The main principle for deciding injection protocol is to optimize lesion detectability by rapid scanning when lesion-to-liver contrast is maximum. For this purpose, we developed a physiological model of contrast medium enhancement based on the compartment modeling and pharmacokinetics. Blood supply to liver was modeled in two paths. This dual supply character distinguishes the CT enhancement of liver from that of the other organs. The first path is by hepatic artery and the second is by portal vein. It is assumed that only hepatic artery can supply blood to hepatocellular carcinoma (HCC) compartment. It is known that this causes the difference of contrast enhancement between normal liver tissue and hepatic tumor. By solving differential equations for each compartment simultaneously using computer program Matlab, CT contrast-enhancement curves were simulated. Simulated enhancement curves for aortic, hepatic, portal vein, and HCC compartments were compared with mean enhancement curves from 24 patients exposed to the same protocols as simulation. These enhancement curves were in a good agreement. Furthermore, we simulated lesion-to-liver curves for various injection protocols, and analyzed the effects. These may help to optimize the scanning protocols for good diagnosis.

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