1Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.
2Department of Neurological Surgery, Rutgers New Jersey Medical School, Newark, New Jersey; and.
J Neurosurg. 2022 Aug 5;138(3):732-739. doi: 10.3171/2022.5.JNS22465. Print 2023 Mar 1.
Microsurgical training remains indispensable to master cerebrovascular bypass procedures, but simulation models for training that accurately replicate microanastomosis in narrow, deep-operating corridors are lacking. Seven simulation bypass scenarios were developed that included head models in various surgical positions with premade approaches, simulating the restrictions of the surgical corridors and hand positions for microvascular bypass training. This study describes these models and assesses their validity.
Simulation models were created using 3D printing of the skull with a designed craniotomy. Brain and external soft tissues were cast using a silicone molding technique from the clay-sculptured prototypes. The 7 simulation scenarios included: 1) temporal craniotomy for a superficial temporal artery (STA)-middle cerebral artery (MCA) bypass using the M4 branch of the MCA; 2) pterional craniotomy and transsylvian approach for STA-M2 bypass; 3) bifrontal craniotomy and interhemispheric approach for side-to-side bypass using the A3 branches of the anterior cerebral artery; 4) far lateral craniotomy and transcerebellomedullary approach for a posterior inferior cerebellar artery (PICA)-PICA bypass or 5) PICA reanastomosis; 6) orbitozygomatic craniotomy and transsylvian-subtemporal approach for a posterior cerebral artery bypass; and 7) extended retrosigmoid craniotomy and transcerebellopontine approach for an occipital artery-anterior inferior cerebellar artery bypass. Experienced neurosurgeons evaluated each model by practicing the aforementioned bypasses on the models. Face and content validities were assessed using the bypass participant survey.
A workflow for model production was developed, and these models were used during microsurgical courses at 2 neurosurgical institutions. Each model is accompanied by a corresponding prototypical case and surgical video, creating a simulation scenario. Seven experienced cerebrovascular neurosurgeons practiced microvascular anastomoses on each of the models and completed surveys. They reported that actual anastomosis within a specific approach was well replicated by the models, and difficulty was comparable to that for real surgery, which confirms the face validity of the models. All experts stated that practice using these models may improve bypass technique, instrument handling, and surgical technique when applied to patients, confirming the content validity of the models.
The 7 bypasses simulation set includes novel models that effectively simulate surgical scenarios of a bypass within distinct deep anatomical corridors, as well as hand and operator positions. These models use artificial materials, are reusable, and can be implemented for personal training and during microsurgical courses.
显微外科训练对于掌握脑血管旁路手术仍然是不可或缺的,但是缺乏能够准确模拟在狭窄、深部手术通道中进行显微吻合的模拟模型。本研究开发了七种模拟旁路场景,包括具有预制入路的各种手术体位的头部模型,模拟手术通道和微血管旁路训练的手部位置的限制。本研究描述了这些模型并评估了它们的有效性。
使用具有设计的颅骨切开术的颅骨 3D 打印创建模拟模型。使用从粘土雕塑原型的硅橡胶成型技术铸造大脑和外部软组织。7 种模拟场景包括:1)颞骨切开术,用于使用 MCA 的 M4 分支进行 STA-MCA 旁路;2)翼点入路和经颞下入路,用于 STA-M2 旁路;3)额骨切开术和半球间入路,用于大脑前动脉 A3 分支的侧侧旁路;4)远外侧入路和经小脑延髓入路,用于后下小脑动脉(PICA)-PICA 旁路或 5)PICA 再吻合;6)眶颧入路和经颞下入路,用于大脑后动脉旁路;7)扩展乙状窦后入路和经小脑脑桥入路,用于枕动脉-小脑前下动脉旁路。经验丰富的神经外科医生通过在模型上进行上述旁路来评估每个模型。通过旁路参与者调查评估了面部和内容效度。
开发了一种模型制作工作流程,并且这些模型在 2 家神经外科机构的显微外科课程中使用。每个模型都附有相应的原型病例和手术视频,创建了一个模拟场景。7 名经验丰富的脑血管神经外科医生在每个模型上进行了微血管吻合术练习并完成了调查。他们报告说,模型很好地复制了特定入路内的实际吻合,并且难度与真实手术相当,这证实了模型的面部效度。所有专家都表示,在应用于患者时,使用这些模型进行练习可以提高旁路技术、器械处理和手术技术,证实了模型的内容效度。
7 种旁路模拟集包括新颖的模型,可有效模拟在不同深部解剖通道内进行旁路手术的手术场景,以及手部和操作人员的位置。这些模型使用人造材料,可重复使用,可用于个人培训和显微外科课程。