Diffusion-compensated tofts model suggests contrast leakage through aneurysm wall.
Charles G Cantrell1,2, Parmede Vakil3,4, Yong Jeong1
1Northwestern University, Department of Biomedical Engineering, Evanston, Illinois, USA.
Magnetic Resonance in Medicine
|January 24, 2017
Summary
This study reveals contrast leakage across aneurysm walls using diffusion-compensated kinetic modeling. This new MRI metric enhances identification of high-risk intracranial aneurysms based on wall integrity.
Area of Science:
- Medical Imaging
- Biophysics
- Radiology
Background:
- Dynamic contrast-enhanced (DCE) imaging is crucial for assessing intracranial aneurysms (IAs).
- Accurate kinetic modeling of DCE images is essential for evaluating IA stability.
- Understanding contrast agent transport is key to refining these models.
Purpose of the Study:
- To investigate contrast agent diffusional transport in IAs.
- To assess the impact of diffusion on kinetic modeling of DCE images.
- To develop a diffusion-corrected kinetic parameter for IA stability assessment.
Main Methods:
- Simulations of a diffusion-compensated model were performed and compared to human IA data.
- A parameterization of diffusional effects on contrast leakage rates (ktrans) was derived.
- Existing IA data was re-analyzed using diffusion-corrected kinetic parameters.
Main Results:
- Simulations and data analysis indicated contrast leakage away from the aneurysm wall.
- The derived parameterization of diffusional effects showed high correlation with established methods (r² = 0.91 and 0.90).
- Diffusion-corrected parameters, including ktrans, showed significant relationships with rupture risk (P < 0.05).
Conclusions:
- This study presents the first diffusion-compensated permeability modeling for IAs.
- A novel parameterization of diffusional effects on ktrans is proposed.
- Findings suggest contrast leakage across the IA wall, offering a new MRI-based metric for IA stability.
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