Innovative modeling techniques and 3D printing in patients with left ventricular assist devices: A bridge from bench to clinical practice

Rishi Thaker, Raquel Araujo-Gutierrez, Hernan G. Marcos-Abdala, Tanushree Agrawal, Nadia Fida, Mahwash Kassi

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number635
JournalJournal of Clinical Medicine
Volume8
Issue number5
DOIs
StatePublished - May 2019

Keywords

  • 3D printing
  • Computational fluid dynamic modeling
  • LVAD
  • Particle image velocimetry

ASJC Scopus subject areas

  • Medicine(all)

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