NDLI: Sensitivity Analysis of an Image-Based Solid Tumor Computational Model with Heterogeneous Vasculature and Porosity

Content Provider	Springer Nature Link
Author	Pishko, Gregory L. Astary, Garrett W. Mareci, Thomas H. Sarntirant, Malisa
Copyright Year	2011
Abstract	An MR image-based computational model of a murine KHT sarcoma is presented that allows the calculation of plasma fluid and solute transport within tissue. Such image-based models of solid tumors may be used to optimize patient-specific therapies. This model incorporates heterogeneous vasculature and tissue porosity to account for nonuniform perfusion of an MR-visible tracer, gadolinium-diethylenetriamine pentaacetic acid (Gd-DTPA). Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was conducted following intravenous infusion of Gd-DTPA to provide 1 h of tracer-concentration distribution data within tissue. Early time points (19 min) were used to construct 3D K trans and porosity maps using a two-compartment model; tracer transport was predicted at later time points using a 3D porous media model. Model development involved selecting an arterial input function (AIF) and conducting a sensitivity analysis of model parameters (tissue, vascular, and initial estimation of solute concentration in plasma) to investigate the effects on transport for a specific tumor. The developed model was then used to predict transport in two additional tumors. The sensitivity analysis suggests that plasma fluid transport is more sensitive to parameter changes than solute transport due to the dominance of transvascular exchange. Gd-DTPA distribution was similar to experimental patterns, but differences in Gd-DTPA magnitude at later time points may result from inaccurate selection of AIF. Thus, accurate AIF estimation is important for later time point prediction of low molecular weight tracer or drug transport in smaller tumors.
Starting Page	2360
Ending Page	2373
Page Count	14
File Format	PDF
ISSN	00906964
Journal	Annals of Biomedical Engineering
Volume Number	39
Issue Number	9
e-ISSN	15739686
Language	English
Publisher	Springer US
Publisher Date	2011-07-13
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	DCE-MRI Drug transport model Extracellular transport Arterial input function Two-compartment model Contrast agent extravasation Biochemistry Biomedical Engineering Mechanics Biophysics and Biological Physics Biomedicine general
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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