Key result
A new computational algorithm for virtual suturing of neocusps successfully mimics Ozaki's operation, handling both small and large neocusps independently.
Why the study?
Prior to modeling neovalve closure in aortic valve neocuspidization, an approach is required to virtually suture neocusps into patient aortic geometry without surface intersections, prolapse, or boundary condition violations.
A novel computational algorithm enables patient-specific virtual suturing of neocusps for aortic valve neocuspidization, potentially improving pre-procedural planning.
The aortic valve neocuspidization (AVNeo) procedure requires the design of patient-specific neo-cusps which can be made numerically through the neovalve closure modelling. Prior the simulation, it is required to ‘suture virtually’ the neocusps into the patient’s aortic geometry, i.e., to find such state in which the neocusps are placed in the aortic root lumen without intersections of physical surfaces and neo-valve prolapse, and the position of the suture boundary satisfies the boundary conditions. To solve this problem, we tried to mimic neocusps suturing in Ozaki’s operation. As a result, we propose a new algorithm for ‘virtual suturing’ of given neocusps, considered as thin shells. The approach is able to work with both small and large (compared to an optimal size) neocusps and to handle each cusp independently of the others.
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Alexey A. Liogky (2022) studied Aortic valve neocuspidization. Algorithm for virtual suturing of neocusps was evaluated on Successful virtual suturing of neocusps without physical surface intersections or neo-valve prolapse. A new computational algorithm for virtual suturing of neocusps successfully mimics Ozaki's operation, handling both small and large neocusps independently.
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