Your browser doesn't support javascript.
loading
Quantitative Prediction of Paravalvular Leak in Transcatheter Aortic Valve Replacement Based on Tissue-Mimicking 3D Printing.
Qian, Zhen; Wang, Kan; Liu, Shizhen; Zhou, Xiao; Rajagopal, Vivek; Meduri, Christopher; Kauten, James R; Chang, Yung-Hang; Wu, Changsheng; Zhang, Chuck; Wang, Ben; Vannan, Mani A.
Afiliación
  • Qian Z; Department of Cardiovascular Imaging, Piedmont Heart Institute, Atlanta, Georgia; Marcus Heart Valve Center, Piedmont Heart Institute, Atlanta, Georgia. Electronic address: zhen.qian@piedmont.org.
  • Wang K; 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.
  • Liu S; Department of Cardiovascular Imaging, Piedmont Heart Institute, Atlanta, Georgia; Marcus Heart Valve Center, Piedmont Heart Institute, Atlanta, Georgia.
  • Zhou X; Department of Cardiology, Chinese PLA General Hospital, Beijing, China.
  • Rajagopal V; Marcus Heart Valve Center, Piedmont Heart Institute, Atlanta, Georgia.
  • Meduri C; Marcus Heart Valve Center, Piedmont Heart Institute, Atlanta, Georgia.
  • Kauten JR; Marcus Heart Valve Center, Piedmont Heart Institute, Atlanta, Georgia.
  • Chang YH; 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.
  • Wu C; Georgia Tech Manufacturing Institute, Georgia Institute of Technology, Atlanta, Georgia; School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia.
  • Zhang C; 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.
  • Wang B; 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.
  • Vannan MA; Department of Cardiovascular Imaging, Piedmont Heart Institute, Atlanta, Georgia.
JACC Cardiovasc Imaging ; 10(7): 719-731, 2017 07.
Article en En | MEDLINE | ID: mdl-28683947
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.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Válvula Aórtica / Insuficiencia de la Válvula Aórtica / Estenosis de la Válvula Aórtica / Tomografía Computarizada por Rayos X / Reemplazo de la Válvula Aórtica Transcatéter / Modelación Específica para el Paciente / Impresión Tridimensional / Modelos Cardiovasculares Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: JACC Cardiovasc Imaging Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Año: 2017 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Válvula Aórtica / Insuficiencia de la Válvula Aórtica / Estenosis de la Válvula Aórtica / Tomografía Computarizada por Rayos X / Reemplazo de la Válvula Aórtica Transcatéter / Modelación Específica para el Paciente / Impresión Tridimensional / Modelos Cardiovasculares Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: JACC Cardiovasc Imaging Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Año: 2017 Tipo del documento: Article