Atrioventricular valve regurgitation is the most prevalent form of valve disease in developed countries. Transcatheter edge-to-edge repair (TEER) has emerged as a therapeutic option for the treatment of severe mitral regurgitation and tricuspid regurgitation and avoids the morbidity and mortality associated with open heart surgery [1, 2]. One challenge to successful application of this therapy is delivering the clip to a precise location within the constraints of the unique anatomy and resulting geometry of an individual patient. Three-dimensional echocardiography (3DE) is typically used to plan and execute TEER using catheter delivery systems designed to access a specific anatomic location (mitral valve, tricuspid valve) via a known path. These systems are then empirically validated and iteratively improved via large clinical trials and clinical practice. However, there has been little work on modeling the catheter path and approach to deliver the clip to the desired location in atypical or surgically altered anatomy. Modeling the trajectory of the clip delivery system could be especially beneficial for procedural planning in patients with congenital heart disease in whom there is greater anatomic variability.
In order to inform both patient selection and optimal catheter path for TEER, we created a realistically constrained virtual modeling system which we named the Valve Clip Simulator. The simulator can be applied within all major forms of 3D cardiac imaging datasets (3DE, computed tomography, and magnetic resonance imaging), and we have made this new functionality free and open-source as part of the SlicerHeart extension for 3D Slicer (www.slicer.org)[3–6]. We based the simulator on the commercially available system, but the framework can be easily customized for any system governed by similar controls.
We first demonstrate an overview of the system and the controls within a transparent CT-derived segmented model of an adolescent with a structurally normal heart (Figure 1A and 1C, Video 1), and demonstrate how planning can also be performed by volume rendering the CT image (Figure 1C, Video 2). We then demonstrate application within 3DE imaging in a patient with severe mitral valve prolapse and regurgitation (Figure 2, Video 3). We show how frequently utilized 2D views of the mitral valve (e.g. simultaneous mid-commissural and long-axis views) can be created post-hoc from 3DE within this modeling framework to facilitate planning within views familiar to practitioners. Finally, we demonstrate the planning of interventions from cardiac MRI-derived models in a patient with hypoplastic left heart syndrome at the Fontan stage, and a patient with double outlet right ventricle and interrupted inferior vena cava (IVC) with azygous continuation (Figure S1, Video 3). The typical femoral venous access site is not feasible in the setting of the interrupted IVC; as such, alternative access points are explored.
It is unlikely that an empirically validated, custom delivery system will be available for each of the diverse anatomies encountered in congenital heart disease. As such, existing commercial systems may need to be applied in anatomy they were never designed or validated for. We found that modeling of TEER allowed the pre-interventional team to simulate potential catheter approaches, as well as practice necessary device manipulation. This system, and those based upon it, may further be useful for designing new access strategies, as we demonstrate in patients with palliated congenital heart disease. Modeling may also be informative in more standard applications when anatomy is considerably distorted due to adverse cardiac remodeling related to chronic atrioventricular valve regurgitation. Furthermore, experience with TEER for tricuspid regurgitation is still limited, and the design of, and manipulation of the clip delivery system to target the more variable tricuspid valve anatomy remains an ongoing clinical challenge.
Our current modeling does have limitations. While we based the catheter behavior on validated mathematics and a clinical system, we did not disassemble and precisely reverse-engineer the system, nor does the model incorporate friction or the complex mechanics of the components of the system interacting with one another in a non-linear manner.[7] As such, further optimization and validation is needed.
In the future, we hope that we and others incorporate emerging delivery systems and more precise mechanistic behavior to this system. The 3D Slicer platform is available at http://www.slicer.org. Open-source code and documentation are available at https://github.com/SlicerHeart. This study was approved by the institutional review board at the Children’s Hospital of Philadelphia.
Supplementary Material
Funding:
This work was supported by NIH R01 HL153166, the Cora Topolewski Cardiac Research Fund at the Children’s Hospital of Philadelphia(CHOP), a CHOP Frontier Grant (Pediatric Valve Center), and CANARIE’s Research Software Program.
Footnotes
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Disclosures: C. Pinter is a contracted developer employed by Pixel Medical.
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