A Model of Time-dependent Biodistribution of 153Sm-Maltolate Complex and Free 153Sm Cation Using Compartmental Analysis

Document Type : Original Paper

Authors

1 Health Physics and Dosimetry Laboratory, Department of Energy Engineering and Physics, Amir Kabir University of Technology, Tehran, Iran

2 Nuclear Science Research School, Nuclear Science and Technology Research Institute, Tehran, Iran

3 Department of Medical Radiation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

4 Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran

Abstract

Introduction
Compartmental analysis allows the mathematical separation of tissues and organs to determine activity concentration in each point of interest. Biodistribution studies on humans are costly and complicated, whereas such assessments can be easily performed on rodents.
In this study, we aimed to develop a pharmacokinetic model of 153Sm-maltolate complex as a novel therapeutic agent and free 153Sm cation in normal rats using compartmental analysis to evaluate the behavior of this complex.
Materials and Methods
We developed a physiologically-based pharmacokinetic model for scaling up the activity concentration in each organ with respect to time. In the mathematical model, physiological parameters including organ volume, blood flow rate, and vascular permeability were used. The compartments (organs) were connected anatomically, which allowed the use of scale-up techniques to predict new complex distribution in each body organ.
Results
The concentration of 153Sm-maltolate complex and free 153Sm cation in various organs was measured at different time intervals. The time-dependent behavior of the biodistribution of these two radiotracers was modeled, using compartmental analysis; the detected behaviors were drawn as a function of time.
Conclusion
The variation in radiopharmaceutical concentration in organs of interest could be described by summing seven to nine exponential terms, which approximated the experimental data with a precision of > 1% in comparison with the original data from animal studies.

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Iranian Journal of Medical Physics
Volume 12, Issue 4
November and December 2015
Pages 242-250

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History

  • Receive Date: 13 July 2015
  • Revise Date: 27 April 2016
  • Accept Date: 20 December 2015

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