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Updated: Aug 6, 2026
Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
Published on: August 9, 2024
Validation of an Automated Artificial Intelligence-Driven Planner for Transcatheter Aortic Valve Replacement
Mark M P van den Dorpel1, Lucas Uchoa de Assis1, Jenna van Niekerk1
1Department of Cardiology, Cardiovascular Institute, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.
Background:
Preprocedural planning with multislice computed tomography (MSCT) is an essential prerequisite for successful transcatheter aortic valve replacement (TAVR). However, preprocedural planning is time-consuming and may contain clinically meaningful interobserver variability. Artificial intelligence (AI) based automated planning methods may provide anatomical MSCT measurements while reducing the time load required for the analysis. Previous studies on the validation of AI-based TAVR planning methods excluded anatomical variants or lacked data on actual TAVR prosthesis size agreement. Mimics for TAVR (Materialise, Leuven, Belgium) is a new, AI-driven TAVR planning platform based on patient-specific 3D anatomical models and automated measurements through a web-based user interface.
Aims:
To validate the Mimics for TAVR planning tool in clinical practice.
Methods:
Key planning assessments were performed on pre-TAVR MSCT datasets using Mimics for TAVR and a commercially available semi-automated software package. Agreement between the two planning methods was assessed using intraclass correlation coefficients and Bland-Altman plots.
Results:
A total of 126 consecutive patients (mean age 80 [74-85]; 56% male) who underwent MSCT as part of their TAVR work-up were included. Mimics for TAVR derived measurements showcased high accuracy and excellent agreement for the area of the aortic annulus (mean error ± SD: -1.9 ± 3.3%, ICC: 0.976 [95% CI: 0.966-0.984]), left ventricular outflow (-2.7 ± 3.8%, ICC: 0.970 [0.957-0.983]), sinotubular junction (-2.6 ± 4.2%, ICC: 0.953 [0.921-0.971]), coronary heights (LCA -3.5 ± 4.8%, ICC: 0.900 (0.859-0.928). RCA -3.9 ± 4.7%, ICC: 0.928 [0.898-0.949]) and membranous septum length (-5.0 ± 9.2%, ICC: 0.919 [0.880-0.940]). Mimics for TAVR assessment significantly reduced the time required for pre-TAVR analysis (1.03 ± 0.15 min vs. 9.55 ± 3.16 min per case, respectively (p = 0.001).
Conclusion:
The automated AI-driven Mimics for TAVR planner is an accurate alternative to existing semiautomated TAVR planning platforms and may enhance overall workflow efficiency.