PMID: 11339331May 8, 2001Paper

Computational models of antibody-based tumor imaging and treatment protocols

Annals of Biomedical Engineering
M PraxmarerWilliam W van Osdol

Abstract

We present improved computational models for investigating monoclonal antibody-based protocols for diagnostic imaging and therapy of solid tumors. Our earlier models used a boundary condition (Dirichlet) that specified concentrations of diffusing molecular species at the interface between a prevascular tumor nodule and surrounding normal tissue. Here we introduce a concentration-dependent flux boundary condition with finite rates of diffusion in the normal tissue. We then study the effects of this new condition on the tumor's temporal uptake and spatial distribution of radiolabeled targeting agents. We compare these results to ones obtained with the Dirichlet boundary condition and also conduct parameter sensitivity analyses. Introducing finite diffusivity for any molecular species in normal tissue retards its delivery to and removal from the tumor nodule. Effects are protocol- and dose regimen-dependent: generally, however, mean radionuclide concentration and tumor-to-blood ratio declined, whereas relative exposure and mean residence time increased. Finite diffusivity exacerbates the negative effects of antigen internalization. Also, the sensitivity analyses show that mean concentration and tumor-to-blood ratio are quite sensi...Continue Reading

Citations

Aug 8, 2001·Journal of Controlled Release : Official Journal of the Controlled Release Society·R K BanerjeeR L Dedrick
May 25, 2005·Molecular Imaging and Biology : MIB : the Official Publication of the Academy of Molecular Imaging·Melvin K SimmonsMichael C Montalto
Feb 21, 2014·Molecular Cancer Therapeutics·Greg M ThurberRalph Weissleder

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