OBJECTIVE: Three-dimensional (3D) modelling of aortic leaflets remains difficult due to insufficient resolution of medical imaging. We aimed to model the coaptation and load-bearing surfaces of the aortic leaflets and adapt this workflow to aid in the design of aortic valve neocuspidizations.
METHODS: Geometric morphometrics, using landmarks and semilandmarks, was applied to the geometric determinants of the aortic leaflets from computed tomography, followed by an isogeometric analysis using Non-Uniform Rational Basis Splines (NURBS). Ten aortic valve models were generated, measuring determinants of leaflet geometry defined as 3D NURBS curves, and leaflet coaptation and load-bearing surfaces were defined as 3D NURBS surfaces. Neocuspidizations were obtained by either shifting the upper central coaptation landmark towards the sinotubular junction or using parametric neo-landmarks placed on a centreline drawn between the centroid of the aortic root base and centroid of a circle circumscribing the 3 upper commissural landmarks.
RESULTS: The ratio of the leaflet free margin length to the geometric height was 1.83, whereas the ratio of the commissural coaptation height to the central coaptation height was 1.93. The median coaptation surface was 137 mm2 (IQR 58) and the median load-bearing surface was 203 mm2 (60) per leaflet. Neocuspidization multiplied the central coaptation height by 3.7 and the coaptation surfaces by 1.97 and 1.92 using the native coaptation axis and centroid coaptation axis, respectively.
CONCLUSIONS: Geometric morphometrics reliably defined the coaptation and load-bearing surfaces of aortic leaflets, enabling an experimental 3D design for the in silico neocuspidization of aortic valves.

The traditional view of the aortic valve and aortic root as a simple conduit for blood flow between the left ventricle and the aorta is evolving with new insights from anatomy, physiology, cell biology, and advanced imaging techniques. This article provides an overview of the changing understanding of aortic root anatomy, shedding light on the intricate structures that contribute to maintaining unidirectional blood flow and the durability of the aortic valve. From historical perspectives to contemporary microscopic details, the components of the aortic root are explored, including the sinutubular junction, aortic sinuses, valve leaflets, and interleaflet triangles. Microscopically, the aortic annulus and leaflets reveal a complex architecture that facilitates blood flow while withstanding lifetime stresses. Additionally, the clinical relevance of aortic anatomy in surgical interventions is emphasized, highlighting the importance of preserving natural anatomy and physiology. A thorough understanding of the aortic root\'s complexity is crucial for optimizing therapeutic approaches and improving patient outcomes, paving the way for future advancements in aortic valve repair and regeneration techniques.

OBJECTIVE: Permanent pacemaker implantation (PPI) risk is higher following transcatheter aortic valve implantation (TAVI) than surgical valve replacement. Native aortic leaflets are retained in patients undergoing TAVI, unlike in surgical valve replacement. Whether the retained leaflets influence PPI risk because of their proximity to the conduction system is unknown. The study sought to determine the association between infra-annular extension of native right coronary cusp/noncoronary cusp (RCC/NCC) post balloon-expandable TAVI and PPI risk.
METHODS: We performed a retrospective analysis of 190 patients undergoing balloon-expandable TAVI at a single center. Manifestation of infra-annular extension of RCC/NCC was considered to be present when part of leaflet extended below aortic-annular plane on post-implantation aortic-root angiography.
RESULTS: Infra-annular extension of RCC/NCC was observed in 33 patients (17.37%). PPI incidence post-TAVI was higher in patients with infra-annular extension of RCC/NCC than in those without (36.36% versus 8.92%, relative-risk: 4.08, p˂0.0001). On logistic-regression analysis, preexisting right bundle-branch block (RBBB) (odds-ratio: 12.73, 95% confidence-interval: 2.16-74.93, p = 0.005), and infra-annular extension of RCC/NCC (odds-ratio: 5.63, 95% confidence-interval: 2.17-14.58, p < 0.0001) were independently associated with PPI risk. Preexisting RBBB (φ = +0.25, p = 0.001) and infra-annular extension of RCC/NCC (φ = +0.30, p < 0.0001) showed a positive-correlation with PPI risk. Infra-annular extension of RCC/NCC was a significant predictor of PPI risk on receiver-operating-characteristic curve analysis (area under-the-curve 0.67; 95% confidence-interval: 0.54-0.79, p = 0.006).
CONCLUSIONS: The retained native aortic leaflets play a significant role in PPI risk following balloon-expandable TAVI. Infra-annular extension of RCC/NCC is a novel predictor, and is associated with a four-fold higher risk of PPI.

BACKGROUND: Successful transcatheter aortic valve replacement (TAVR) requires an understanding of how a prosthetic valve will interact with a patient\'s anatomy in advance of surgical deployment. To improve this understanding, we developed a benchtop workflow that allows for testing of physical interactions between prosthetic valves and patient-specific aortic root anatomy, including calcified leaflets, prior to actual prosthetic valve placement.
METHODS: This was a retrospective study of 30 patients who underwent TAVR at a single high volume center. By design, the dataset contained 15 patients with a successful annular seal (defined by an absence of paravalvular leaks) and 15 patients with a sub-optimal seal (presence of paravalvular leaks) on post-procedure transthoracic echocardiogram (TTE). Patients received either a balloon-expandable (Edwards Sapien or Sapien XT, n = 15), or a self-expanding (Medtronic CoreValve or Core Evolut, n = 14, St. Jude Portico, n = 1) valve. Pre-procedural computed tomography (CT) angiograms, parametric geometry modeling, and multi-material 3D printing were utilized to create flexible aortic root physical models, including displaceable calcified valve leaflets. A 3D printed adjustable sizing device was then positioned in the aortic root models and sequentially opened to larger valve sizes, progressively flattening the calcified leaflets against the aortic wall. Optimal valve size and fit were determined by visual inspection and quantitative pressure mapping of interactions between the sizer and models.
RESULTS: Benchtop-predicted \"best fit\" valve size showed a statistically significant correlation with gold standard CT measurements of the average annulus diameter (n = 30, p < 0.0001 Wilcoxon matched-pairs signed rank test). Adequateness of seal (presence or absence of paravalvular leak) was correctly predicted in 11/15 (73.3%) patients who received a balloon-expandable valve, and in 9/15 (60%) patients who received a self-expanding valve. Pressure testing provided a physical map of areas with an inadequate seal; these corresponded to areas of paravalvular leak documented by post-procedural transthoracic echocardiography.
CONCLUSIONS: We present and demonstrate the potential of a workflow for determining optimal prosthetic valve size that accounts for aortic annular dimensions as well as the active displacement of calcified valve leaflets during prosthetic valve deployment. The workflow\'s open source framework offers a platform for providing predictive insights into the design and testing of future prosthetic valves.

The functional aortic annulus represents a sound clinical framework for understanding the components of the aortic root complex. Recent three-dimensional imaging analysis has demonstrated that the aortic annulus frequently is elliptical rather than circular. Comprehensive three-dimensional quantification of this aortic annular geometry by transesophageal echocardiography and/or multidetector computed tomography is essential to guide precise prosthesis sizing in transcatheter aortic valve replacement to minimize paravalvular leak for optimal clinical outcome. Furthermore, three-dimensional transesophageal echocardiography accurately can quantify additional parameters of the functional aortic annulus such as coronary height for complete sizing profiles for all valve types in transcatheter aortic valve replacement. Although it is maturing rapidly as a clinical imaging modality, its role in transcatheter aortic valve replacement is seen best as complementary to multidetector computed tomography in a multidisciplinary heart team model.