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

被引:0
作者
Luca Rosalia
Caglar Ozturk
Jaume Coll-Font
Yiling Fan
Yasufumi Nagata
Manisha Singh
Debkalpa Goswami
Adam Mauskapf
Shi Chen
Robert A. Eder
Efrat M. Goffer
Jo H. Kim
Salva Yurista
Benjamin P. Bonner
Anna N. Foster
Robert A. Levine
Elazer R. Edelman
Marcello Panagia
Jose L. Guerrero
Ellen T. Roche
Christopher T. Nguyen
机构
[1] Harvard - Massachusetts Institute of Technology,Health Sciences and Technology Program
[2] Massachusetts Institute of Technology,Institute for Medical Engineering and Science
[3] Massachusetts General Hospital,Cardiovascular Research Center
[4] Massachusetts General Hospital,A.A. Martinos Center for Biomedical Imaging
[5] Massachusetts Institute of Technology,Department of Mechanical Engineering
[6] Massachusetts General Hospital,Cardiac Ultrasound Laboratory
[7] Harvard Medical School,Department of Medicine
[8] Massachusetts General Hospital,Corrigan Minehan Heart Center
[9] Brigham and Women’s Hospital,Cardiovascular Division
[10] Boston University Medical Center,Cardiovascular Medicine Section, Department of Medicine
[11] Cleveland Clinic,Cardiovascular Innovation Research Center, Heart, Vascular, and Thoracic Institute
来源
Nature Biomedical Engineering | 2022年 / 6卷
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摘要
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.
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页码:1134 / 1147
页数:13
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