ArticleSurgical neurology international2021
3D-printed cranial models simulating operative field depth for microvascular training in neurosurgery.
Article in Surgical neurology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Patient-Specific 3D-Printed Models and Mixed-Reality Head-Mounted Display Visualization for Aneurysm Clip Ligation Planning: A Methodological Workflow Study.Brain sciences · 2026Article
- Immersive Neurosurgical Anatomy Using Photogrammetry: Technical Note and Scoping Review.Journal of neurological surgery. Part B, Skull base · 2026Article
- Low-Cost 3D Models for Cervical Spine Tumor Removal Training for Neurosurgery Residents.Brain sciences · 2024Article
- On the balance beam: facing the challenges of neurosurgical education in the third millennium.Surgical neurology international · 2024Article
- The application of novel techniques in ophthalmology education.Frontiers in medicine · 2024Review
- The current application of 3D printing simulator in surgical training.Frontiers in medicine · 2024Review
- Simulation-Based Bypass Training and Learning Curves-Resident Experience.Asian journal of neurosurgery · 2023Article
- A novel approach to microsurgical teaching in head and neck surgery leveraging modern 3D technologies.Scientific reports · 2023Article
- Article
- Tridimensional models and radiographic study of dorsal laminectomy and thoracolumbar hemilaminectomy in dogs.Acta cirurgica brasileira · 2023Article
- Development of a CT-Compatible, Anthropomorphic Skull and Brain Phantom for Neurosurgical Planning, Training, and Simulation.Bioengineering (Basel, Switzerland) · 2022Article
- Article
- 3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training.Journal of Korean Neurosurgical Society · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe skills required for neurosurgical operations using microsurgical techniques in a deep operating field are difficult to master in the operating room without risk to patients. Although there are many microsurgical training models, most do not use a skull model to simulate a deep field. To solve this problem, 3D models were created to provide increased training in the laboratory before the operating room, improving patient safety.
methodsA patient's head was scanned using computed tomography. The data were reconstructed and converted into a standard 3D printing file. The skull was printed with several openings to simulate common surgical approaches. These models were then used to create a deep operating field while practicing on a chicken thigh (femoral artery anastomosis) and on a rat (abdominal aortic anastomosis).
resultsThe advantages of practicing with the 3D printed models were clearly demonstrated by our trainees, including appropriate hand position on the skull, becoming comfortable with the depth of the anastomosis, and simulating proper skull angle and rigid fixation. One limitation is the absence of intracranial structures, which is being explored in future work.
conclusionThis neurosurgical model can improve microsurgery training by recapitulating the depth of a real operating field. Improved training can lead to increased accuracy and efficiency of surgical procedures, thereby minimizing the risk to patients.
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