Modeling the time dependent biodistribution of Samarium-153 ethylenediamine tetramethylene phosphonate using compartmental analysis
| Autor: | Monika Foroghy, Amir Reza Jalilian, Amir Hakimi, Simindokht Shirvani-Arani, Parandoush Abbasian |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Biodistribution
Cancer Research Biodistribution modeling Radiochemistry [153Sm]-EDTMP Ethylenediamine Phosphonate 153sm edtmp chemistry.chemical_compound Compartmental analysis chemistry Oncology Radiology Nuclear Medicine and imaging medicine Samarium 153 Radiology Nuclear Medicine and imaging Original Research Article medicine.symptom Bone pain Biomedical engineering |
| Zdroj: | Reports of Practical Oncology & Radiotherapy. 19(3):214-220 |
| ISSN: | 1507-1367 |
| DOI: | 10.1016/j.rpor.2013.12.002 |
| Popis: | AimThe main purpose of this work was to develop a pharmacokinetic model for the bone pain palliation agent Samarium-153 ethylenediamine tetramethylene phosphonate ([153Sm]-EDTMP) in normal rats to analyze the behavior of the complex.BackgroundThe use of compartmental analysis allows a mathematical separation of tissues and organs to determine the concentration of activity in each fraction of interest. Biodistribution studies are expensive and difficult to carry out in humans, but such data can be obtained easily in rodents.Materials and methodsWe have developed a physiologically based pharmacokinetic model for scaling up activity concentration in each organ versus time. The mathematical model uses physiological parameters including organ volumes, blood flow rates, and vascular permabilities; the compartments (organs) are connected anatomically. This allows the use of scale-up techniques to predict new complex distribution in humans in each organ.ResultsThe concentration of the radiopharmaceutical in various organs was measured at different times. The temporal behavior of biodistribution of 153Sm-EDTMP was modeled and drawn as a function of time.ConclusionsThe variation of pharmaceutical concentration in all organs is described with summation of 6–10 exponential terms and it approximates our experimental data with precision better than 2%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|