Development of a patient-specific model of the human coronary system for percutaneous transluminal coronary angioplasty balloon catheter training and testing.

IF 2.9 4区 医学 Q3 ENGINEERING, BIOMEDICAL
C Amstutz, M Ilic, N Fontaine, L Siegenthaler, J Illi, A Haeberlin, A Zurbuchen, J Burger
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引用次数: 0

Abstract

Background: To treat stenosed coronary arteries, percutaneous transluminal coronary angioplasty (PTCA) balloon catheters must combine pushability, trackability, crossability, and rewrap behavior. The existing anatomic track model (ASTM F2394) for catheter testing lacks 3D morphology, vessel tortuosity, and compliance, making evaluating performance characteristics difficult. This study aimed to develop a three-dimensional patient-specific phantom (3DPSP) for device testing and safe training for interventional cardiologists.

Methods: A range of silicone materials with different shore hardnesses (00-30-45 A) and wall thicknesses (0.5 mm, 1 mm, 2 mm) were tested to determine compliance for creating coronary vessel phantoms. Compliance was assessed using optical coherence tomography (OCT) and compared to values in the literature. Stenosis was induced using multilayer casting and brushing methods, with gypsum added for calcification. The radial tensile properties of the samples were investigated, and the relationship between Young's modulus and compliance was determined. Various methods have been introduced to approximate the friction between silicone and real coronary vessel walls. Computerized tomography (CT) scans were used to obtain patient-specific anatomy from the femoral artery to the coronary arteries. Artery lumens were segmented from the CT scans to create dissolvable 3D-printed core models.

Results: A 15A shore hardness silicone yielded an experimental compliance of 12.3-22.4 m m 2 mmHg · 10 3 for stenosed tubes and 14.7-57.9 m m 2 mmHg · 10 3 for uniform tubes, aligning closely with the literature data (6.28-40.88 m m 2 mmHg · 10 3 ). The Young's modulus ranged from 43.2 to 75.5 kPa and 56.6-67.9 kPa for the uniform and calcified materials, respectively. The dependency of the compliance on the wall thickness, Young's modulus, and inner diameter could be shown. Introducing a lubricant reduced the silicone friction coefficient from 0.52 to 0.13. The 3DPSP was successfully fabricated, and comparative analyses were conducted among eight commercially available catheters.

Conclusion: This study presents a novel method for crafting 3DPSPs with realistic mechanical and frictional properties. The proposed approach enables the creation of comprehensive and anatomically precise setups spanning the right femoral artery to the coronary arteries, highlighting the importance of such realistic environments for advancing medical device development and fostering safe training conditions.

为经皮冠状动脉腔内成形术球囊导管的训练和测试,开发了一个针对特定患者的人体冠状动脉系统模型。
背景:要治疗狭窄的冠状动脉,经皮冠状动脉腔内成形术(PTCA)球囊导管必须兼具可推动性、可追踪性、可交叉性和可重新缠绕性。用于导管测试的现有解剖轨迹模型(ASTM F2394)缺乏三维形态、血管迂曲度和顺应性,因此难以评估性能特征。本研究旨在开发一种三维患者特异性模型(3DPSP),用于设备测试和介入心脏病专家的安全培训:测试了一系列具有不同邵氏硬度(00-30-45 A)和壁厚(0.5 毫米、1 毫米、2 毫米)的硅胶材料,以确定创建冠状血管模型的顺应性。顺应性使用光学相干断层扫描(OCT)进行评估,并与文献中的数值进行比较。使用多层铸造和刷涂方法诱导狭窄,并添加石膏进行钙化。研究了样本的径向拉伸特性,并确定了杨氏模量与顺应性之间的关系。目前已经引入了多种方法来估算硅胶与真实冠状动脉血管壁之间的摩擦力。使用计算机断层扫描(CT)获取从股动脉到冠状动脉的患者特定解剖结构。根据 CT 扫描结果对动脉管腔进行分割,以创建可溶解的 3D 打印核心模型:采用 15A 邵氏硬度硅胶制成的狭窄管实验顺应性为 12.3-22.4 m m 2 mmHg - 10 3,均匀管为 14.7-57.9 m m 2 mmHg - 10 3,与文献数据(6.28-40.88 m m 2 mmHg - 10 3)基本一致。均匀材料和钙化材料的杨氏模量分别为 43.2 至 75.5 千帕和 56.6 至 67.9 千帕。可以看出,顺应性与壁厚、杨氏模量和内径有关。引入润滑剂后,硅摩擦系数从 0.52 降至 0.13。3DPSP 制作成功,并对八种市售导管进行了比较分析:本研究提出了一种制作具有真实机械和摩擦特性的 3DPSP 的新方法。结论:本研究提出了一种制作具有逼真机械和摩擦特性的 3DPSPs 的新方法,所提出的方法能够创建横跨右股动脉到冠状动脉的全面、解剖精确的设置,突出了这种逼真环境对于推动医疗设备开发和促进安全培训条件的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BioMedical Engineering OnLine
BioMedical Engineering OnLine 工程技术-工程:生物医学
CiteScore
6.70
自引率
2.60%
发文量
79
审稿时长
1 months
期刊介绍: BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering. BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to: Bioinformatics- Bioinstrumentation- Biomechanics- Biomedical Devices & Instrumentation- Biomedical Signal Processing- Healthcare Information Systems- Human Dynamics- Neural Engineering- Rehabilitation Engineering- Biomaterials- Biomedical Imaging & Image Processing- BioMEMS and On-Chip Devices- Bio-Micro/Nano Technologies- Biomolecular Engineering- Biosensors- Cardiovascular Systems Engineering- Cellular Engineering- Clinical Engineering- Computational Biology- Drug Delivery Technologies- Modeling Methodologies- Nanomaterials and Nanotechnology in Biomedicine- Respiratory Systems Engineering- Robotics in Medicine- Systems and Synthetic Biology- Systems Biology- Telemedicine/Smartphone Applications in Medicine- Therapeutic Systems, Devices and Technologies- Tissue Engineering
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