Clinical Research Directory

UCSD Image-Guided Cognitive-Sparing Radiosurgery for Intracranial Lesions

In this proposal, the investigators introduce advanced diffusion and volumetric imaging techniques along with innovative, automated image parcellation methods to identify critical brain regions, incorporate into cognitive-sparing SRS for intracranial lesions, and analyze biomarkers of radiation response. This work will advance the investigators' understanding of neurocognitive changes after brain SRS and help create interventions that preserve cognitive-function in patients with intracranial lesions.

Patient-specific Planning of Minimally Invasive Brain Interventions Based on Vascular-hemodynamic Mapping

Endovascular procedures for treating brain aneurysms and arteriovenous malformations (AVMs) are becoming increasingly popular due to their less invasive nature and lower risk of complications. However, they still face challenges such as difficult catheter navigation and incomplete embolization. This study aims to improve the efficiency and safety of endovascular procedures by developing new preoperative planning methodologies. These methodologies involve mapping the cerebral vasculature and creating computational fluid dynamics (CFD) and artificial intelligence (AI) models to simulate blood flow. By using these models, interventional radiologists can better plan catheter navigation and predict embolization outcomes. This could lead to faster, more accurate procedures with reduced radiation exposure for patients.