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A Framework for Patient-Specific Spinal Intervention Simulation: Application to Lumbar Spinal Durotomy Repair
Jonathan C Lau1, Lynn Denning1, Stephen P Lownie1
1London Health Sciences Centre, London, Ontario, Canada.
Studies in Health Technology and Informatics
|April 6, 2016
Summary
We developed a patient-specific lumbar phantom for surgical training. This realistic, low-cost model simulates spinal durotomy and dura repair, improving surgical skills.
Area of Science:
- Neurosurgery
- Medical Simulation
- Anatomical Modeling
Background:
- Spinal durotomy and dura repair are critical surgical procedures.
- Effective training requires realistic anatomical models and simulation of cerebrospinal fluid dynamics.
- Existing training models may lack patient-specificity and functional simulation.
Purpose of the Study:
- To develop a functional, patient-specific lumbar phantom for training spinal durotomy and dura closure.
- To create a realistic surgical environment mimicking tactile and visual feedback.
- To provide a cost-effective and adaptable training tool for spinal interventions.
Main Methods:
- A patient-specific lumbar model was created from computed tomography (CT) scans.
- A pressurized dural surrogate connected to a closed-loop water system simulated cerebrospinal fluid leakage.
- A tissue-mimicking layer simulated fat, muscle, and skin for realistic surgical ergonomics and microscopic view.
Main Results:
- The phantom accurately replicated patient-specific lumbar anatomy and curvature.
- The pressurized dural surrogate provided functional cerebrospinal fluid leakage for durotomy simulation.
- The tissue layer ensured realistic surgical ergonomics and microscopic visualization.
Conclusions:
- The developed phantom offers a realistic, functional, and patient-specific training environment for spinal durotomy and dura repair.
- This cost-effective model enhances surgical training by simulating key aspects of the procedure.
- The phantom's design is adaptable for simulating other patient-specific spinal interventions.

