Compartmental modeling of and radiation dose estimates for {sup 186}Re NR-LU-10 monoclonal antibody
- Virginia Mason Medical Center, Seattle, WA (United States); and others
A clinical data set developed using {sup 186}Re labeled NR-LU-10, a pancarcinoma monoclonal antibody utilized for radioimmunotherapy, has been reanalyzed by compartmental modeling techniques. The pharmacokinetics and dosimetry estimates, derived from standard exponential curve filling, have been reported previously. In this work, we describe an 18-compartment model that integrates all measured biological data into a comprehensive biokinetic model. The model was developed with the SAAM (Simulation Analysis and Modeling) software. Residence times were calculated by integrating model-predicted time activity curves in tumor and 10 organs or tissues. Activity excreted via the hepatobiliary route was assumed to follow the ICRP 30 GI tract model, and a dynamic urinary bladder model (void interval = 4.8 hr) was used to simulate excretion via the urinary pathway. Dose estimates for 24 organs were calculated using the MIRD formalism. Tumor doses were estimated using absorbed fractions for electron sources uniformly distributed in small spheres. The model predicts that most activity is excreted (70% urine, 27% feces) by 300 hours post injection with the highest absorbed dose received by the excretory organs: lower large intestine (2.6 mGy/MBq), kidneys (1.4 mGy/MBq), upper large intestine (1.1 mGy/MBq). Tumor doses ranged from 180-1.8 mGy/MBq, depending on size (assuming tumor masses ranging from 1-100 grams). This multicompartmental model is comprehensive, provides conservation of activity, enables the modeling of hypothetical conditions (e.g., effect of plasma immunopheresis), and permits insight into the biological system.
- OSTI ID:
- 198014
- Report Number(s):
- CONF-940605--
- Journal Information:
- Journal of Nuclear Medicine, Journal Name: Journal of Nuclear Medicine Journal Issue: Suppl.5 Vol. 35; ISSN JNMEAQ; ISSN 0161-5505
- Country of Publication:
- United States
- Language:
- English
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