TY  - GEN
AU  - Qian,Zhen
AU  - Wang,Kan
AU  - Liu,Shizhen
AU  - Zhou,Xiao
AU  - Rajagopal,Vivek
AU  - Meduri,Christopher
AU  - Kauten,James R
AU  - Chang,Yung-Hang
AU  - Wu,Changsheng
AU  - Zhang,Chuck
AU  - Wang,Ben
AU  - Vannan,Mani A
TI  - Quantitative Prediction of Paravalvular Leak in Transcatheter Aortic Valve Replacement Based on Tissue-Mimicking 3D Printing
SN  - 1876-7591
PY  - 2018///0425
KW  - Aged
KW  - Aged, 80 and over
KW  - Aortic Valve
KW  - diagnostic imaging
KW  - Aortic Valve Insufficiency
KW  - Aortic Valve Stenosis
KW  - Feasibility Studies
KW  - Female
KW  - Heart Valve Prosthesis
KW  - Hemodynamics
KW  - Humans
KW  - Male
KW  - Models, Cardiovascular
KW  - Patient-Specific Modeling
KW  - Phantoms, Imaging
KW  - Predictive Value of Tests
KW  - Printing, Three-Dimensional
KW  - Proof of Concept Study
KW  - Prosthesis Design
KW  - Radiographic Image Interpretation, Computer-Assisted
KW  - Retrospective Studies
KW  - Risk Assessment
KW  - Risk Factors
KW  - Stress, Mechanical
KW  - Tomography, X-Ray Computed
KW  - instrumentation
KW  - Transcatheter Aortic Valve Replacement
KW  - adverse effects
KW  - Treatment Outcome
N1  - Publication Type: Journal Article; Observational Study
UR  - https://doi.org/10.1016/j.jcmg.2017.04.005
ER  -