Maria Rocchi, Konstantina Papangelopoulou, Marcus Ingram, Youri Bekhuis, Guido Claessen, Piet Claus, Jan D'hooge, Dirk W Donker, Bart Meyns, Libera Fresiello
{"title":"嵌入闭环心血管模拟器的患者特异性回声软机器人左心室,用于先进设备测试。","authors":"Maria Rocchi, Konstantina Papangelopoulou, Marcus Ingram, Youri Bekhuis, Guido Claessen, Piet Claus, Jan D'hooge, Dirk W Donker, Bart Meyns, Libera Fresiello","doi":"10.1063/5.0203653","DOIUrl":null,"url":null,"abstract":"<p><p>Cardiovascular medical devices undergo a large number of pre- and post-market tests before their approval for clinical practice use. Sophisticated cardiovascular simulators can significantly expedite the evaluation process by providing a safe and controlled environment and representing clinically relevant case scenarios. The complex nature of the cardiovascular system affected by severe pathologies and the inherently intricate patient-device interaction creates a need for high-fidelity test benches able to reproduce intra- and inter-patient variability of disease states. Therefore, we propose an innovative cardiovascular simulator that combines <i>in silico</i> and <i>in vitro</i> modeling techniques with a soft robotic left ventricle. The simulator leverages patient-specific and echogenic soft robotic phantoms used to recreate the intracardiac pressure and volume waveforms, combined with an <i>in silico</i> lumped parameter model of the remaining cardiovascular system. Three different patient-specific profiles were recreated, to assess the capability of the simulator to represent a variety of working conditions and mechanical properties of the left ventricle. The simulator is shown to provide a realistic physiological and anatomical representation thanks to the use of soft robotics combined with <i>in silico</i> modeling. This tool proves valuable for optimizing and validating medical devices and delineating specific indications and boundary conditions.</p>","PeriodicalId":46288,"journal":{"name":"APL Bioengineering","volume":null,"pages":null},"PeriodicalIF":6.6000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11136518/pdf/","citationCount":"0","resultStr":"{\"title\":\"A patient-specific echogenic soft robotic left ventricle embedded into a closed-loop cardiovascular simulator for advanced device testing.\",\"authors\":\"Maria Rocchi, Konstantina Papangelopoulou, Marcus Ingram, Youri Bekhuis, Guido Claessen, Piet Claus, Jan D'hooge, Dirk W Donker, Bart Meyns, Libera Fresiello\",\"doi\":\"10.1063/5.0203653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Cardiovascular medical devices undergo a large number of pre- and post-market tests before their approval for clinical practice use. Sophisticated cardiovascular simulators can significantly expedite the evaluation process by providing a safe and controlled environment and representing clinically relevant case scenarios. The complex nature of the cardiovascular system affected by severe pathologies and the inherently intricate patient-device interaction creates a need for high-fidelity test benches able to reproduce intra- and inter-patient variability of disease states. Therefore, we propose an innovative cardiovascular simulator that combines <i>in silico</i> and <i>in vitro</i> modeling techniques with a soft robotic left ventricle. The simulator leverages patient-specific and echogenic soft robotic phantoms used to recreate the intracardiac pressure and volume waveforms, combined with an <i>in silico</i> lumped parameter model of the remaining cardiovascular system. Three different patient-specific profiles were recreated, to assess the capability of the simulator to represent a variety of working conditions and mechanical properties of the left ventricle. The simulator is shown to provide a realistic physiological and anatomical representation thanks to the use of soft robotics combined with <i>in silico</i> modeling. 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A patient-specific echogenic soft robotic left ventricle embedded into a closed-loop cardiovascular simulator for advanced device testing.
Cardiovascular medical devices undergo a large number of pre- and post-market tests before their approval for clinical practice use. Sophisticated cardiovascular simulators can significantly expedite the evaluation process by providing a safe and controlled environment and representing clinically relevant case scenarios. The complex nature of the cardiovascular system affected by severe pathologies and the inherently intricate patient-device interaction creates a need for high-fidelity test benches able to reproduce intra- and inter-patient variability of disease states. Therefore, we propose an innovative cardiovascular simulator that combines in silico and in vitro modeling techniques with a soft robotic left ventricle. The simulator leverages patient-specific and echogenic soft robotic phantoms used to recreate the intracardiac pressure and volume waveforms, combined with an in silico lumped parameter model of the remaining cardiovascular system. Three different patient-specific profiles were recreated, to assess the capability of the simulator to represent a variety of working conditions and mechanical properties of the left ventricle. The simulator is shown to provide a realistic physiological and anatomical representation thanks to the use of soft robotics combined with in silico modeling. This tool proves valuable for optimizing and validating medical devices and delineating specific indications and boundary conditions.
期刊介绍:
APL Bioengineering is devoted to research at the intersection of biology, physics, and engineering. The journal publishes high-impact manuscripts specific to the understanding and advancement of physics and engineering of biological systems. APL Bioengineering is the new home for the bioengineering and biomedical research communities.
APL Bioengineering publishes original research articles, reviews, and perspectives. Topical coverage includes:
-Biofabrication and Bioprinting
-Biomedical Materials, Sensors, and Imaging
-Engineered Living Systems
-Cell and Tissue Engineering
-Regenerative Medicine
-Molecular, Cell, and Tissue Biomechanics
-Systems Biology and Computational Biology