A soft robotic sleeve mimicking the haemodynamics and biomechanics of left ventricular pressure overload and aortic stenosis.

Journal: Nature biomedical engineering
Published Date: Sep 26, 2022

Abstract

Preclinical models of aortic stenosis can induce left ventricular pressure overload and coarsely control the severity of aortic constriction. However, they do not recapitulate the haemodynamics and flow patterns associated with the disease. Here we report the development of a customizable soft robotic aortic sleeve that can mimic the haemodynamics and biomechanics of aortic stenosis. By allowing for the adjustment of actuation patterns and blood-flow dynamics, the robotic sleeve recapitulates clinically relevant haemodynamics in a porcine model of aortic stenosis, as we show via in vivo echocardiography and catheterization studies, and a combination of in vitro and computational analyses. Using in vivo and in vitro magnetic resonance imaging, we also quantified the four-dimensional blood-flow velocity profiles associated with the disease and with bicommissural and unicommissural defects re-created by the robotic sleeve. The design of the sleeve, which can be adjusted on the basis of computed tomography data, allows for the design of patient-specific devices that may guide clinical decisions and improve the management and treatment of patients with aortic stenosis.

Authors

  • Luca Rosalia
  • Caglar Ozturk
    Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Jaume Coll-Font
    Computational Radiology Lab, Boston Children's Hospital, Boston, MA, USA.
  • Yiling Fan
    Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Yasufumi Nagata
    Cardiac Ultrasound Laboratory, Massachusetts General Hospital, Boston, MA, USA.
  • Manisha Singh
    Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Sri Shivarathreeshwara Nagara, Mysuru, 570015, India.
  • Debkalpa Goswami
    Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Adam Mauskapf
    Corrigan Minehan Heart Center, Massachusetts General Hospital, Boston, MA, USA.
  • Shi Chen
    Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, PUMCH, CAMS & PUMC, Beijing, China.
  • Robert A Eder
    Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Efrat M Goffer
    Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Jo H Kim
    Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Salva Yurista
    Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Benjamin P Bonner
    Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Anna N Foster
    Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Robert A Levine
    Cardiac Ultrasound Laboratory, Massachusetts General Hospital, Boston, MA, USA.
  • Elazer R Edelman
    Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Marcello Panagia
    Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Jose L Guerrero
    Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
  • Ellen T Roche
    School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA.
  • Christopher T Nguyen
    Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA. nguyenc6@ccf.org.

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