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

Autor: Rosalia L; Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA., Ozturk C; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Coll-Font J; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA., Fan Y; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA., Nagata Y; Cardiac Ultrasound Laboratory, Massachusetts General Hospital, Boston, MA, USA.; Department of Medicine, Harvard Medical School, Boston, MA, USA., Singh M; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Goswami D; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Mauskapf A; Corrigan Minehan Heart Center, Massachusetts General Hospital, Boston, MA, USA., Chen S; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA., Eder RA; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA., Goffer EM; Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Kim JH; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA., Yurista S; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA., Bonner BP; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA., Foster AN; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA., Levine RA; Cardiac Ultrasound Laboratory, Massachusetts General Hospital, Boston, MA, USA.; Department of Medicine, Harvard Medical School, Boston, MA, USA., Edelman ER; Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA., Panagia M; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.; Cardiovascular Medicine Section, Department of Medicine, Boston University Medical Center, Boston, MA, USA., Guerrero JL; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA., Roche ET; Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA. etr@mit.edu.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA. etr@mit.edu.; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. etr@mit.edu., Nguyen CT; Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA. nguyenc6@ccf.org.; Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA. nguyenc6@ccf.org.; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA. nguyenc6@ccf.org.; Department of Medicine, Harvard Medical School, Boston, MA, USA. nguyenc6@ccf.org.; Cardiovascular Innovation Research Center, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA. nguyenc6@ccf.org.
Jazyk: angličtina
Zdroj: Nature biomedical engineering [Nat Biomed Eng] 2022 Oct; Vol. 6 (10), pp. 1134-1147. Date of Electronic Publication: 2022 Sep 26.
DOI: 10.1038/s41551-022-00937-8
Abstrakt: 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.
(© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)
Databáze: MEDLINE
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