Modelling convection-enhanced delivery in normal and oedematous brain

Area of Science:

• Biomedical Engineering
• Neuroscience
• Pharmacology

Background:

• Convection-enhanced delivery (CED) is a promising method for delivering neuroprotective agents to the brain.
• Acute brain injuries like ischemic stroke cause cytotoxic edema, reducing extracellular space and potentially altering drug distribution.
• Accurate modeling of drug distribution is crucial for safe and effective CED in pathological brain states.

Purpose of the Study:

• To develop and validate computational models of CED in normal and edematous brain tissue.
• To predict how cytotoxic edema affects the distribution of agents delivered via CED.
• To inform clinical applications of CED for brain injury treatment.

Main Methods:

• Development of 3D computational models using a Nodal Point Integration (NPI) scheme.
• Modeling CED infusions in simulated normal brain and brain with cytotoxic edema.
• Comparison of model predictions with experimental CED data in a middle cerebral artery (MCA) occlusion stroke model.

Main Results:

• Computational models accurately predicted drug concentration distributions in both normal and edematous brain.
• The models demonstrated the significant impact of cytotoxic edema on agent distribution patterns.
• Validation against experimental data confirmed the models' predictive capabilities.

Conclusions:

• Computational modeling is a valuable tool for understanding CED in brain injury.
• CED agent distribution is significantly altered by cytotoxic edema, necessitating model-guided treatment strategies.
• Accurate models can enhance the safety and efficacy of CED for neuroprotection in stroke.