Bogdanov Todor G, Tsonev Hristo R, Yankov Dimo A, Mileva-Popova Rene D, Ferdinandov Dilyan
Medical Physics and Biophysics, Medical University of Sofia, Sofia, BGR.
Neurosurgery, St. Ivan Rilski University Hospital, Sofia, BGR.
Cureus. 2025 Mar 27;17(3):e81297. doi: 10.7759/cureus.81297. eCollection 2025 Mar.
Surgical simulation plays a crucial role in modern neurosurgical training, allowing surgeons to develop and refine their skills in a controlled and risk-free environment. Traditional methods, such as cadaveric dissections, and virtual reality (VR) simulations more recently have their advantages and limitations. While cadaveric models offer high anatomical accuracy, they are expensive, difficult to access, and non-reusable. VR simulations provide customizable training experiences but lack the realistic haptic feedback necessary for hands-on procedures. With advancements in 3D printing technology, anatomically accurate and cost-effective physical models have emerged as a viable alternative for surgical training. This study aims to develop and validate a realistic 3D-printed lumbar spine model for non-cadaveric surgical education. The proposed model replicates the anatomical and biomechanical properties of the L1-S1 segment and is produced using fused deposition modeling (FDM) 3D printing technology with polylactic acid (PLA) vertebrae, PolyFlex TPU95 intervertebral discs, and an elastic TPU (thermoplastic polyurethane) rod to mimic physiological movement. The model is based on DICOM imaging data from a CT scan of a patient's spine, optimized for biomechanical resistance and realistic pedicle screw placement training. It was tested in hands-on neurosurgical workshops at St. Ivan Rilski University Hospital in Sofia. Post-training X-ray analysis confirmed the accuracy of screw positioning and the anatomical fidelity of the model. The results demonstrate that this 3D-printed lumbar spine model provides an accessible, customizable, and reliable training tool for spine surgery. Future improvements may include multi-material printing, augmented reality (AR) integration, and adaptations for pathological conditions.
手术模拟在现代神经外科培训中起着至关重要的作用,它使外科医生能够在可控且无风险的环境中培养和提升自己的技能。传统方法,如尸体解剖,以及最近的虚拟现实(VR)模拟都有其优缺点。虽然尸体模型具有较高的解剖学准确性,但它们成本高昂、获取困难且不可重复使用。VR模拟提供了可定制的培训体验,但缺乏实际操作所需的真实触觉反馈。随着3D打印技术的进步,解剖学精确且经济高效的实体模型已成为手术培训的可行替代方案。本研究旨在开发并验证一种用于非尸体手术教育的逼真3D打印腰椎模型。所提出的模型复制了L1 - S1节段的解剖和生物力学特性,使用熔融沉积建模(FDM)3D打印技术制作,采用聚乳酸(PLA)椎体、PolyFlex TPU95椎间盘和弹性TPU(热塑性聚氨酯)杆来模拟生理运动。该模型基于一名患者脊柱CT扫描的DICOM成像数据,针对生物力学阻力和逼真的椎弓根螺钉置入训练进行了优化。它在索非亚的圣伊万·里尔茨基大学医院的实际神经外科工作坊中进行了测试。训练后的X射线分析证实了螺钉定位的准确性和模型的解剖逼真度。结果表明,这种3D打印腰椎模型为脊柱手术提供了一种可获取、可定制且可靠的训练工具。未来的改进可能包括多材料打印、增强现实(AR)集成以及针对病理状况的调整。
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