Effect of heterogeneous vasculature on interstitial transport within a solid tumor

Zhao, Jianbing; Salmon, Howard W.; Sarntinoranont, Malisa

doi:10.1016/j.mvr.2006.12.003

Cited by 105 publications

(88 citation statements)

References 34 publications

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“…The voxelized model predicted an elevated IFP, conforming with previous experimental observations [14][15][16][17][18] and previous modeling results [13,22,28,30]. However, the IFP predicted by the voxelized model was higher than that predicted by the nonvoxelized model using the same data set.…”

Section: Discussionsupporting

confidence: 88%

“…Recently, computational fluid dynamics (CFD) approaches have been used by our group and others to study the extracellular transport in tumors [28][29][30]. In particular, studies conducted by Pishko et al [30] accounted for realistic tumor vasculature by using dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) data to estimate the spatial variation of transport properties (the rate transfer constant between plasma and extracellular space K trans and porosity /), which were mapped into an unstructured mesh of a CFD model that solves for IFP, IFV, and tracer transport.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of a Voxelized Model Based on DCE-MRI for Tracer Transport in Tumor

Magdoom

Pishko

Kim

et al. 2012

Journal of Biomechanical Engineering

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Recent advances in the treatment of cancer involving therapeutic agents have shown promising results. However, treatment efficacy can be limited due to inadequate and uneven uptake in solid tumors, thereby making the prediction of drug transport important for developing effective therapeutic strategies. In this study, a patient-specific computational porous media model (voxelized model) was developed for predicting the interstitial flow field and distribution of a systemically delivered magnetic resonance (MR) visible tracer in a tumor. The benefits of a voxel approach include less labor and less computational time (approximately an order of magnitude reduction compared to the traditional computational fluid dynamics (CFD) approach developed earlier by our group). The model results were compared with that obtained from a previous approach based on unstructured meshes along with MR-measured tracer concentration data within tumors, using statistical analysis and qualitative representations. The statistical analysis indicated the similarity between the structured and unstructured models' results with a low root mean square error (RMS) and a high correlation coefficient. The voxelized model captured features of the flow field and tracer distribution such as high interstitial fluid pressure inside the tumor and the heterogeneous distribution of the tracer. Predictions of tracer distribution by the voxelized approach also resulted in low RMS error when compared with MR-measured data over a 1 h time course. The similarity in the voxelized model results with experiment and the nonvoxelized model predictions were maintained across three different tumors. Overall, the voxelized model serves as a reliable and swift alternative to approaches using unstructured meshes in predicting extracellular transport within tumors.

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Evaluation of a Voxelized Model Based on DCE-MRI for Tracer Transport in Tumor

Magdoom

Pishko

Kim

et al. 2012

Journal of Biomechanical Engineering

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“…These results suggest that a complex interplay between TBF and IFP drives the heterogeneous intratumoral distribution of liposomes [25][26][27].…”

Section: Accepted Manuscriptmentioning

confidence: 77%

The intra-tumoral relationship between microcirculation, interstitial fluid pressure and liposome accumulation

Stapleton

Milosevic

Tannock

et al. 2015

Journal of Controlled Release

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“…[4][5][6][7][8]34 Different pharmacokinetic models have been suggested to look at interstitial fluid pressure, 35 contrast agent diffusivity, 36 and i , 7,14 in addition to K trans and v e . In the present study, we used the SSM, which suggests that the water exchange rate between interstitial and intracellular compartments cannot be ignored with the usual clinical dosage of Gd-DTPA.…”

Section: Discussionmentioning

confidence: 99%