University of California, San Diego
RADIATION-DIAGNOSTIC/ONCOLOGY
La Jolla · United States
NIH R01 · 2025
PROJECT SUMMARY/ABSTRACT Tumor vascular networks are highly abnormal and complex, vary significantly by tumor type and on a patient- by-patient basis. More importantly, patient-specific tumor vascular properties are known to regulate cancer progression and treatment response in patients with primary or metastatic liver cancers. Non-invasive rapid diagnostic methods to characterize unique tumor vascular properties in liver malignancies, and to provide clinical decision-support, are currently not available. Our goal is to introduce computational approaches to characterize complex attributes of vascular networks by considering the interconnected nature of voxels in 3D dynamic contrast-enhanced…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.