NIH Reporter #5R01HL170059-04

Non-invasive hemodynamic and biomechanic imaging methods for early risk prediction in aortic dissection

The award supports research to develop advanced imaging methods for early risk prediction in aortic dissection, focusing on functional measures of aortic pressure and wall stiffness to improve patient assessment and treatment timing.

Description

This project aims to develop functional measures of aortic pressure and wall stiffness using advanced medical imaging techniques, including 4D Flow MRI and 4D CTA, to improve risk prediction and patient assessment in aortic dissection. The research goals include identifying baseline hemodynamic and biomechanical metrics that predict false lumen growth rate, determining trajectories of functional metrics over time to predict disease progression, and developing a clinical assessment tool combining functional metrics, anatomical parameters, and patient characteristics.

View original record