Seven bypasses simulation set: description and validity assessment of novel models for microneurosurgical training.

OBJECTIVE 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. METHODS 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. RESULTS 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. CONCLUSIONS 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.

[1]  M. Lawton,et al.  Novel System of Simulation Models for Aneurysm Clipping Training: Description of Models and Assessment of Face, Content, and Construct Validity , 2021, Operative neurosurgery.

[2]  M. Giers,et al.  3D-printed cranial models simulating operative field depth for microvascular training in neurosurgery , 2021, Surgical neurology international.

[3]  S. Luzzi,et al.  Dye-Perfused Human Placenta for Vascular Microneurosurgery Training: Preparation Protocol and Validation Testing. , 2020, World neurosurgery.

[4]  S. Weber,et al.  Neurosurgical simulator for training aneurysm microsurgery—a user suitability study involving neurosurgeons and residents , 2020, Acta Neurochirurgica.

[5]  Cristian M. Orellana,et al.  Novel simulation model with pulsatile flow system for microvascular training, research, and to improve patient surgical outcomes. , 2020, World neurosurgery.

[6]  K. Abi-Aad,et al.  Superficial Temporal Artery - Middle Cerebral Artery Bypass Ex-Vivo Hybrid Simulator: Face, Content, Construct, And Concurrent Validity. , 2020, World neurosurgery.

[7]  Ulaş Çıkla,et al.  Grapefruit Training Model for Distal Anterior Cerebral Artery Side-to-Side Bypass. , 2020, World neurosurgery.

[8]  N. Martirosyan,et al.  Microsurgical Basics and Bypass Techniques , 2020, Microsurgical Basics and Bypass Techniques.

[9]  Brian P Kelly,et al.  Biomechanical Testing of a 3D-printed L5 Vertebral Body Model , 2019, Cureus.

[10]  M. Lawton,et al.  Side-to-Side Anastomosis Training Model Using Rat Common Carotid Arteries. , 2018, Operative neurosurgery.

[11]  M. Levy,et al.  A Practical Cadaveric Model for Intracranial Bypass Training. , 2019, World neurosurgery.

[12]  Azam S. Ahmed,et al.  A novel, low-cost, reusable, high-fidelity neurosurgical training simulator for cerebrovascular bypass surgery. , 2019, Journal of neurosurgery.

[13]  B. Howard Book Review: Seven Bypasses: Tenets and Techniques for Revascularization , 2019, Neurosurgery.

[14]  N. Mikuni,et al.  Surgical Anatomy of Rats for the Training of Microvascular Anastomosis. , 2018, World neurosurgery.

[15]  M. Lawton,et al.  The End-to-Side Anastomosis: A Comparative Analysis of Arterial Models in the Rat. , 2018, World neurosurgery.

[16]  M. Preul,et al.  Microvascular Anastomosis Training in Neurosurgery: A Review , 2018, Minimally invasive surgery.

[17]  Michael A. Bohl,et al.  Biological Models for Neurosurgical Training in Microanastomosis , 2018 .

[18]  Martin H. Pham,et al.  Development of a Perfusion-Based Cadaveric Simulation Model Integrated into Neurosurgical Training: Feasibility Based On Reconstitution of Vascular and Cerebrospinal Fluid Systems. , 2018, Operative neurosurgery.

[19]  Seok Keun Choi,et al.  A Portable Training Model for Deep Bypass Surgery. , 2017, World neurosurgery.

[20]  M. Lawton,et al.  Microsurgical Bypass Training Rat Model, Part 1: Technical Nuances of Exposure of the Aorta and Iliac Arteries. , 2017, World neurosurgery.

[21]  M. Lawton,et al.  Microsurgical Bypass Training Rat Model: Part 2-Anastomosis Configurations. , 2017, World neurosurgery.

[22]  M. Preul,et al.  Low-flow and high-flow neurosurgical bypass and anastomosis training models using human and bovine placental vessels: a histological analysis and validation study. , 2016, Journal of neurosurgery.

[23]  X. Zhang,et al.  Training of deep microsurgical skill: Establishment of a high-volume intracranial carotid bypass model. , 2015, Neuro-Chirurgie.

[24]  Kaith K. Almefty,et al.  Human Placenta Aneurysm Model for Training Neurosurgeons in Vascular Microsurgery , 2014, Neurosurgery.

[25]  E. Belykh,et al.  Off-the-job microsurgical training on dry models: Siberian experience. , 2014, World neurosurgery.

[26]  W. Mack,et al.  Simulation of a High-Flow Extracranial-Intracranial Bypass Using a Radial Artery Graft in a Novel Fresh Tissue Model , 2012, Neurosurgery.

[27]  M. Preul,et al.  Comparative use of turkey and chicken wing brachial artery models for microvascular anastomosis training. , 2011, Journal of neurosurgery.

[28]  K. Tsutsumi,et al.  The practice of knots untying technique using a 10-0 nylon suture and gauze to cope with technical difficulties of microvascular anastomosis. , 2011, World neurosurgery.

[29]  H. Ono,et al.  A new polyvinyl alcohol hydrogel vascular model (KEZLEX) for microvascular anastomosis training , 2010, Surgical neurology international.

[30]  H. Ono,et al.  Novel brain model for training of deep microvascular anastomosis. , 2010, Neurologia medico-chirurgica.

[31]  K. Slavin,et al.  MICROVASCULAR ANASTOMOSIS TRAINING MODEL BASED ON A TURKEY NECK WITH PERFUSED ARTERIES , 2008, Neurosurgery.

[32]  H. Nishijo,et al.  A new training method to improve deep microsurgical skills using a mannequin head , 2008, Microsurgery.

[33]  Kuniaki Saito,et al.  Training of A3-A3 side-to-side anastomosis in a deep corridor using a box with 6.5-cm depth: technical note. , 2006, Surgical neurology.

[34]  Kuniaki Saito,et al.  Effectiveness of suturing training with 10-0 nylon under fixed and maximum magnification (x 20) using desk type microscope. , 2006, Surgical neurology.

[35]  K. Lovblad,et al.  From patient to model: stereolithographic modeling of the cerebral vasculature based on rotational angiography. , 2005, AJNR. American journal of neuroradiology.

[36]  A. Hino,et al.  Training in Microvascular Surgery Using a Chicken Wing Artery , 2003, Neurosurgery.

[37]  Peter Roth,et al.  Laboratory training in microsurgical techniques and microvascular anastomosis , 1999 .

[38]  S. Ayoubi,et al.  The use of placenta in a microvascular exercise. , 1992, Neurosurgery.