Role of convection and diffusion on DCE-MRI parameters in low leakiness KHT sarcomas

Toward a noninvasive estimate of interstitial fluid pressure by dynamic contrast‐enhanced MRI in a rat model of cerebral tumor

“…The noninvasive evaluation of TIFP using DCE‐MRI has been explored in a limited number of studies. Pishko et al used a model of interstitial transport of contrast in porous media to estimate the flow and pressure of interstitial fluid, showing increased central TIFP and higher exudate streaming velocities at the tumor boundaries. However, these estimates lacked validation by invasive measurements.…”

Interstitial flow in cancerous tissue: Effect of fluid friction

“…The effect of heterogeneous tissue transport properties on interstitial transport is studied by Zhao et al [8], Arifin et al [9] and Pishko et al [10], [11]. They modeled tumor with spatially-varying tissue transport properties.…”

Peritumoral tissue compression is predictive of exudate flux in a rat model of cerebral tumor: an MRI study in an embedded tumor

“…Even in the tumor itself, typical values of R 2 are 0.98 and above , so, given the S / N of a typical experiment, a stable estimate of four or more model parameters appears unlikely . It is possible that poroelastic modeling, given a starting‐point estimate of distribution volumes (porosities), mechanical properties of tissue, and the time‐dependent spatial concentrations of CA, might be employed to make a best‐guess estimate of TIFP, intervoxel convection, and microvascular permeability . This appears to be a natural extension of the work presented herein, but one notes that the S / N is limited in MRI studies of contrast transport, posing significant problems in extended modeling that uses dynamic MRI data for verification.…”

“…Although it has been of secondary interest in DCE‐MRI, voxel‐to‐voxel transport of CA has been noted in cerebral tumors, sometimes as a source of artifact , but also as a potential means of assessing tumor interstitial pressure and/or evaluating tumor characteristics that affect the delivery of chemotherapy and bias parametric estimates in DCE‐MRI . One experimental measure that affects all these considerations is the extracellular volume fraction, particularly because it can be expected that this quantity, equivalent to the porosity ( φ ) of the tissue when the tissue is studied as a poroelastic medium , is related to the fluid conductivity of the medium .…”

“…One experimental measure that affects all these considerations is the extracellular volume fraction, particularly because it can be expected that this quantity, equivalent to the porosity ( φ ) of the tissue when the tissue is studied as a poroelastic medium , is related to the fluid conductivity of the medium . In the absence of in vivo experimental evidence, fluid conductivity is sometimes modeled as a constant across tissues (see, e.g., Reference ), and also the supplementary material of Reference ), which may lead to biased results.…”