TY - JOUR ID - 6837 TI - A Model of Time-dependent Biodistribution of 153Sm-Maltolate Complex and Free 153Sm Cation Using Compartmental Analysis JO - Iranian Journal of Medical Physics JA - IJMP LA - en SN - AU - Hakimi, Amir AU - Jalilian, Amir Reza AU - Ghanbarzadeh, Ali AU - Rezaee Jam, Hamed AD - Health Physics and Dosimetry Laboratory, Department of Energy Engineering and Physics, Amir Kabir University of Technology, Tehran, Iran AD - Nuclear Science Research School, Nuclear Science and Technology Research Institute, Tehran, Iran AD - Department of Medical Radiation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran AD - Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran Y1 - 2015 PY - 2015 VL - 12 IS - 4 SP - 242 EP - 250 KW - Biodistribution KW - Modeling KW - Compartmental Analysis KW - Samarium- 153 KW - Maltolate DO - 10.22038/ijmp.2016.6837 N2 - 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. UR - https://ijmp.mums.ac.ir/article_6837.html L1 - https://ijmp.mums.ac.ir/article_6837_a8cb507a5cacbbbbdedc9a61aaccc82d.pdf ER -