Standardized imaging pathways using echocardiography and cardiac CT angiography are recommended for evaluating transcatheter valve failure to optimize patient outcomes.
This updated framework provides standardized multimodality imaging protocols for diagnosing and managing transcatheter valve failure to optimize lifetime management of aortic valve disease.
This updated Heart Valve Collaboratory framework addresses the growing concern for transcatheter valve failure (TVF) following transcatheter aortic valve replacement (TAVR). With the increasing volume of redo-TAV and surgical TAV explantation, there is a critical need for standardized pathways and protocols for evaluating TVF using echocardiography and cardiac computed tomography (CT) angiography. This document clarifies prior definitions of bioprosthetic valve deterioration and bioprosthetic valve failure in a practical, imaging directed context for TAVR. It discusses various imaging modalities for diagnosing TVF, including echocardiography, cardiac CT angiography, cardiac magnetic resonance, and positron emission tomography/CT. Recommendations are provided on the systematic imaging for: 1) follow-up post-TAVR; 2) procedural planning for redo-TAV; and 3) post-redo-TAV, emphasizing the importance of regular monitoring and the need for comprehensive imaging data to optimize patient outcomes in the lifetime management of aortic valve disease.
“While success rates for TAVR are high, 'the number of repeat interventions is likely to increase with time as the current volume of one million global TAVR procedures expands,' write authors Omar K. Khalique, MD, FACC, et al., driving the need for an imaging framework.”
Khalique et al. (Sat,) conducted a review in Transcatheter valve failure following transcatheter aortic valve replacement (TAVR). Imaging modalities (echocardiography, cardiac CT angiography, CMR, PET/CT) was evaluated. Standardized imaging pathways using echocardiography and cardiac CT angiography are recommended for evaluating transcatheter valve failure to optimize patient outcomes.