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Three-compartment pharmacokinetic models of radiotracers used in the GFR-determination -- estimation of their parameters using the time-concentration curves.
- Source :
- Nuclear Medicine Review; 2019, Vol. 22 Issue 2, p60-68, 9p
- Publication Year :
- 2019
-
Abstract
- BACKGROUND: In GFR measurements with radiotracers, there is evidence that a two-compartment model is unable to describe the full plasma curve, including early time points, but analyses generally focus on two-compartment models. AIMS: To analyze both the mammillary and catenary three-compartment model and to determine empirical relations between model constants and the overall GFR and ECV (extra-cellular volume). MATERIAL AND METHODS: Mathematical analysis of the three-compartment model. Full-curve patient data from 32 adults and 7 children were used to relate model parameters to GFR and ECV. RESULTS: Model volumes were found to be roughly proportional to ECV. In both models, the central (plasma) volume was V<subscript>1</subscript> = 0.24 x ECV and elimination rate from V<subscript>1</subscript> was k<subscript>10</subscript> = 4.2 x GFR/ECV. In the mammillary model, the two parallel volumes were V<subscript>2</subscript> = 0.28 x ECV, V<subscript>3</subscript> = 0.48 x ECV, and intercompartmental clearances were Cl<subscript>12</subscript> [mL/min] = 0.0058 x ECV [mL], Cl<subscript>13</subscript> = 0.042 x ECV. In the catenary model, the serial volumes were V<subscript>2</subscript> = 0.60 x ECV, V<subscript>3</subscript> = 0.16 x ECV, with clearances Cl<subscript>12</subscript> = 0.048 x ECV, Cl<subscript>23</subscript> = 0.0036 x ECV. CONCLUSION: Insight into the three-compartment model was achieved, and empirical relations to ECV and GFR/ECV were determined. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15069680
- Volume :
- 22
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Nuclear Medicine Review
- Publication Type :
- Academic Journal
- Accession number :
- 138028163
- Full Text :
- https://doi.org/10.5603/NMR.a2019.0014