PURPOSE: The purpose of this study was to investigate the diffusional transport of contrast agent and its effects on kinetic modeling of dynamic contrast enhanced (DCE) images. METHODS: We performed simulations of our diffusion-compensated model and compared these results to @entity1 @entity438 ( @entity438 ). We derive an easy-to-use parameterization of diffusional effects that can provide an accurate estimate of diffusion corrected contrast agent leakage rates (k(trans) ). Finally, we performed re-ansalysis of an existing data set to determine whether diffusion-corrected kinetic parameters improve the identification of high-risk @entity438 , thereby providing a new MRI-based imaging metric of IA stability based on wall integrity. RESULTS: Probability distributions of simulated versus measured data show contrast leakage away from the @entity439 wall. Parameterization of diffusional effects on k(trans) showed high correlation with long-chain methods in both surrounding tissue and near the @entity439 wall (r(2)    =   0.91 and r(2)    =   0.90, respectively). Finally, size, k(trans) , and ( ktrans-kDCtrans) showed significant univariate relationships with @entity397 risk (P   <   0.05). CONCLUSIONS: We report the first evidence of diffusion-compensated permeability modeling in @entity438 and propose a parameterization of diffusional effects on k(trans) . Furthermore, a comparison of measured versus simulated data suggests that contrast leakage occurs across the @entity439 wall. Magn Reson Med, 2017.    2017 International Society for Magnetic Resonance in Medicine.

Diffusion-compensated tofts model suggests contrast leakage through XXXX wall.

@entity1 :: ('9606', 'Species') :: ['human'] @entity439 :: ('MESH:D000783', 'Disease') :: ['aneurysm'] @entity397 :: ('MESH:D012421', 'Disease') :: ['rupture'] @entity438 :: ('MESH:D002532', 'Disease') :: ['intracranial aneurysms', 'IAs']
@entity439 :: (MESH:D000783,Disease) :: ['aneurysm']
