TY - JOUR
T1 - Innovative modeling techniques and 3D printing in patients with left ventricular assist devices
T2 - A bridge from bench to clinical practice
AU - Thaker, Rishi
AU - Araujo-Gutierrez, Raquel
AU - Marcos-Abdala, Hernan G.
AU - Agrawal, Tanushree
AU - Fida, Nadia
AU - Kassi, Mahwash
N1 - Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2019/5
Y1 - 2019/5
N2 - Left ventricular assist devices (LVAD) cause altered flow dynamics that may result in complications such as stroke, pump thrombosis, bleeding, or aortic regurgitation. Understanding altered flow dynamics is important in order to develop more efficient and durable pump configurations. In patients with LVAD, hemodynamic assessment is limited to imaging techniques such as echocardiography which precludes detailed assessment of fluid dynamics. In this review article, we present some innovative modeling techniques that are often used in device development or for research purposes, but have not been utilized clinically. Computational fluid dynamic (CFD) modeling is based on computer simulations and particle image velocimetry (PIV) employs ex vivo models that helps study fluid characteristics such as pressure, shear stress, and velocity. Both techniques may help elaborate our understanding of complications that occur with LVAD and could be potentially used in the future to troubleshoot LVAD-related alarms. These techniques coupled with 3D printing may also allow for patient-specific device implants, lowering the risk of complications increasing device durability.
AB - Left ventricular assist devices (LVAD) cause altered flow dynamics that may result in complications such as stroke, pump thrombosis, bleeding, or aortic regurgitation. Understanding altered flow dynamics is important in order to develop more efficient and durable pump configurations. In patients with LVAD, hemodynamic assessment is limited to imaging techniques such as echocardiography which precludes detailed assessment of fluid dynamics. In this review article, we present some innovative modeling techniques that are often used in device development or for research purposes, but have not been utilized clinically. Computational fluid dynamic (CFD) modeling is based on computer simulations and particle image velocimetry (PIV) employs ex vivo models that helps study fluid characteristics such as pressure, shear stress, and velocity. Both techniques may help elaborate our understanding of complications that occur with LVAD and could be potentially used in the future to troubleshoot LVAD-related alarms. These techniques coupled with 3D printing may also allow for patient-specific device implants, lowering the risk of complications increasing device durability.
KW - 3D printing
KW - Computational fluid dynamic modeling
KW - LVAD
KW - Particle image velocimetry
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U2 - 10.3390/jcm8050635
DO - 10.3390/jcm8050635
M3 - Review article
AN - SCOPUS:85084505310
SN - 2077-0383
VL - 8
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 5
M1 - 635
ER -