Zhen Qian1, Kan Wang2, Shizhen Liu3, Xiao Zhou4, Vivek Rajagopal5, Christopher Meduri5, James R Kauten5, Yung-Hang Chang2, Changsheng Wu6, Chuck Zhang2, Ben Wang7, Mani A Vannan8. 1. Department of Cardiovascular Imaging, Piedmont Heart Institute, Atlanta, Georgia; Marcus Heart Valve Center, Piedmont Heart Institute, Atlanta, Georgia. Electronic address: zhen.qian@piedmont.org. 2. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia; Georgia Tech Manufacturing Institute, Georgia Institute of Technology, Atlanta, Georgia. 3. Department of Cardiovascular Imaging, Piedmont Heart Institute, Atlanta, Georgia; Marcus Heart Valve Center, Piedmont Heart Institute, Atlanta, Georgia. 4. Department of Cardiology, Chinese PLA General Hospital, Beijing, China. 5. Marcus Heart Valve Center, Piedmont Heart Institute, Atlanta, Georgia. 6. Georgia Tech Manufacturing Institute, Georgia Institute of Technology, Atlanta, Georgia; School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia. 7. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia; Georgia Tech Manufacturing Institute, Georgia Institute of Technology, Atlanta, Georgia; School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia. 8. Department of Cardiovascular Imaging, Piedmont Heart Institute, Atlanta, Georgia.
Abstract
OBJECTIVES: This study aimed to develop a procedure simulation platform for in vitro transcatheter aortic valve replacement (TAVR) using patient-specific 3-dimensional (3D) printed tissue-mimicking phantoms. We investigated the feasibility of using these 3D printed phantoms to quantitatively predict the occurrence, severity, and location of any degree of post-TAVR paravalvular leaks (PVL). BACKGROUND: We have previously shown that metamaterial 3D printing technique can be used to create patient-specific phantoms that mimic the mechanical properties of biological tissue. This may have applications in procedural planning for cardiovascular interventions. METHODS: This retrospective study looked at 18 patients who underwent TAVR. Patient-specific aortic root phantoms were created using the tissue-mimicking 3D printing technique using pre-TAVR computed tomography. The CoreValve (self-expanding valve) prostheses were deployed in the phantoms to simulate the TAVR procedure, from which post-TAVR aortic root strain was quantified in vitro. A novel index, the annular bulge index, was measured to assess the post-TAVR annular strain unevenness in the phantoms. We tested the comparative predictive value of the bulge index and other known predictors of post-TAVR PVL. RESULTS: The maximum annular bulge index was significantly different among patient subgroups that had no PVL, trace-to-mild PVL, and moderate-to-severe PVL (p = 0.001). Compared with other known PVL predictors, bulge index was the only significant predictor of moderate-severe PVL (area under the curve = 95%; p < 0.0001). Also, in 12 patients with post-TAVR PVL, the annular bulge index predicted the major PVL location in 9 patients (accuracy = 75%). CONCLUSIONS: In this proof-of-concept study, we have demonstrated the feasibility of using 3D printed tissue-mimicking phantoms to quantitatively assess the post-TAVR aortic root strain in vitro. A novel indicator of the post-TAVR annular strain unevenness, the annular bulge index, outperformed the other established variables and achieved a high level of accuracy in predicting post-TAVR PVL, in terms of its occurrence, severity, and location.
OBJECTIVES: This study aimed to develop a procedure simulation platform for in vitro transcatheter aortic valve replacement (TAVR) using patient-specific 3-dimensional (3D) printed tissue-mimicking phantoms. We investigated the feasibility of using these 3D printed phantoms to quantitatively predict the occurrence, severity, and location of any degree of post-TAVR paravalvular leaks (PVL). BACKGROUND: We have previously shown that metamaterial 3D printing technique can be used to create patient-specific phantoms that mimic the mechanical properties of biological tissue. This may have applications in procedural planning for cardiovascular interventions. METHODS: This retrospective study looked at 18 patients who underwent TAVR. Patient-specific aortic root phantoms were created using the tissue-mimicking 3D printing technique using pre-TAVR computed tomography. The CoreValve (self-expanding valve) prostheses were deployed in the phantoms to simulate the TAVR procedure, from which post-TAVR aortic root strain was quantified in vitro. A novel index, the annular bulge index, was measured to assess the post-TAVR annular strain unevenness in the phantoms. We tested the comparative predictive value of the bulge index and other known predictors of post-TAVR PVL. RESULTS: The maximum annular bulge index was significantly different among patient subgroups that had no PVL, trace-to-mild PVL, and moderate-to-severe PVL (p = 0.001). Compared with other known PVL predictors, bulge index was the only significant predictor of moderate-severe PVL (area under the curve = 95%; p < 0.0001). Also, in 12 patients with post-TAVR PVL, the annular bulge index predicted the major PVL location in 9 patients (accuracy = 75%). CONCLUSIONS: In this proof-of-concept study, we have demonstrated the feasibility of using 3D printed tissue-mimicking phantoms to quantitatively assess the post-TAVR aortic root strain in vitro. A novel indicator of the post-TAVR annular strain unevenness, the annular bulge index, outperformed the other established variables and achieved a high level of accuracy in predicting post-TAVR PVL, in terms of its occurrence, severity, and location.
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