Progression of Aortic Stenosis
This research project focuses on enhancing risk stratification tools to make informed decisions about when and how to intervene in aortic stenosis (AS). One of our key questions is how aortic stenosis progresses in patients who do and do not require transcatheter aortic valve implantation (TAVI). Could early signs of myocardial damage signal the need for intervention? Novel echocardiographic methods are being explored to identify potential treatment responders and non-responders, potentially avoiding ineffective TAVI procedures.
By leveraging innovative imaging techniques and considering the role of artificial intelligence, our goal is to improve the precision of diagnosing and grading aortic stenosis, leading to better patient outcomes and a higher quality of life for those affected by this condition.
Researchers involved
- Sverre Høie, MD/PhD fellow, Sorlandet Hospital
- Project leader/main supervisor: Jan Otto Beitnes, MD/PhD, OUS
- Co-supervisor: Kristina Haugaa, MD/Professor, OUS/UiO
- Jarle Jortveit, MD/PhD, Sorlandet Hospital