The goal of this clinical trial is to learn if patient specific virtual reality (VR) simulations can be used for surgical orthopaedic education in resident and fellow physician populations.
This project will combine advanced 3d visualization, interaction, medical image segmentation, and registration to create and integrate a virtual reality (VR) model into surgical orthopaedic education. The work has 3 aspects, 1\) creating a patient specific 3D model with high accuracy of anatomic structures using patient specific medical imaging in an automated fashion, 2) interacting with 3D models of the patients, allowing the surgical procedures to be performed in virtual reality (including the resection of tissues, and placement of implants), 3) integrating the VR simulator into the surgical education of orthopaedic residents and fellows in training. This platform will reduce the time and cost associated with use of patient specific data, ultimately enabling pre-operative planning, post-procedural assessment and surgical simulation of spine procedures. The technology will improve surgical training, and the options for pre-treatment planning that will lead to better patient care, more efficient use of operating room time, and better trained surgeons.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
13
A novel virtual reality (VR) simulator for spine procedures that will take patient specific medical imaging (3D scans) and create a virtual patient that surgical procedures can be performed on.
Evaluate the effectiveness of patient specific VR surgical simulations for orthopaedic education, focusing on spinal decompression with or without instrumentation.
Participants will complete study questionnaires before and after the testing sessions that ask them to list relevant structures involved in spinal decompression surgery. Participants will rate their confidence and motivation using the VR tool on a scale of 1 (highly confidence) to 10 (low confidence).
Time frame: Up to 4 months for residents; up to 1 year for fellows
Create a highly automated image analysis pipeline for the creation of patient specific 3D spine models with sufficient fidelity for surgical simulation.
The performance of the pipeline will be measured by the total registration error, quantifying overlap of segmentation of structures, and the distance between landmarks.
Time frame: Through study completion, an average of 5 years.
Perceived utility of high-fidelity simulation of surgical spine procedures that make use of patient specific models.
Orthopaedic residents and fellows will test the tool, following, they will fill out a questionnaire about the utility of the tool for learning and surgical planning. Participants will report their agreeableness to statements about the utility on a scale of 1 (strongly disagree) to 5 (strongly agree), and provide their own comments.
Time frame: Through study completion, an average of 5 years.
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