Advanced Visuohaptic Surgical Planning for Trauma Surgery
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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California
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San Francisco, California, United States, 94121
- VA Medical Center, San Francisco
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Craniofacial deformity, including post-traumatic, congenital or acquired deformity
- Patients who have already have surgery because there was a clinical indication for surgical correction
Exclusion Criteria:
- No craniofacial deformity
- No clinical indication for surgical correction
- Contraindication for surgical correction
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
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Group 1
15 patients who underwent surgical repair of mandibular fractures at San Francisco VA Medical Center
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Patients will undergo whatever needed surgical repair of maxillofacial trauma that is necessary.
Records such as CT imaging and plaster models of the jaws will be utilized in the standard way to plan and carry out the surgery.
The CT scan will also be used within the visuohaptic computational environment to develop and evaluate the user interface.
The amount of time taken to work up and plan surgery using standard surgical practice and using the computational platform will be compared.
Real surgical outcome will be compared to the simulated surgical outcome using the proposed software tool.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Percentage of Deviation From Actual Surgical Outcome During Virtual Repair of Mandibular Fractures, Using the Novel Visuohaptic Computational Platform That Was Developed by the Investigators
Time Frame: 6 months
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The virtual surgical outcome was compared to the actual surgical outcome.
This was accomplished by measuring distances (mm) and angles between specific mandibular anatomic points in the virtual environment and comparing it to the same distances (mm) and angles between specific mandibular anatomic points in the actual surgical outcome, as seen in a 3D rendering derived from the patient's postoperative CT scan.
The actual surgical repair was considered to be the gold standard.
A deviation of more than 10% between the virtual surgical repair and the actual surgical repair was considered to be above threshold (inaccurate virtual fracture repair).
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6 months
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Development and Evaluation of Automation Features for the Visuohaptic Virtual Surgery Planning Environment
Time Frame: 3 years
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The addition of automation features for the visuohaptic virtual surgical planning environment was envisioned to make it possible to predict the number, type, size, and position of reconstruction hardware (bone plates and screws) that would best fit the virtually repaired mandibular fractures.
The goal was to compare the hardware configuration selected and used in the actual surgical repair for the 3 participating patients with what the software predicted.
Unfortunately, the software development proved to be difficult to add this automated feature.
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3 years
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Implementation and Test of the Telemedicine Prototype
Time Frame: 3 years
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Measurement of the accuracy of the virtual surgical repair generated by the surgeon operating the software when a remote surgeon digitally sends a CT scan of a patient with an acute mandibular fracture(s).
The telemedicine interface would require an automated method to segment the CT scan into the fractured components.
The operator would manipulate the bone fractures, select the hardware type and size for "best fit", and generate a report back to the remote surgeon.
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3 years
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Rebeka Silva, DMD, VA Medical Center, San Francisco
Publications and helpful links
General Publications
- Schvartzman SC, Silva R, Salisbury K, Gaudilliere D, Girod S. Computer-aided trauma simulation system with haptic feedback is easy and fast for oral-maxillofacial surgeons to learn and use. J Oral Maxillofac Surg. 2014 Oct;72(10):1984-93. doi: 10.1016/j.joms.2014.05.007. Epub 2014 May 24.
- Forsslund J, Chan S, Selesnick J, Salisbury K, Silva RG, Blevins NH. The effect of haptic degrees of freedom on task performance in virtual surgical environments. Stud Health Technol Inform. 2013;184:129-35.
- Girod S, Schvartzman SC, Gaudilliere D, Salisbury K, Silva R. Haptic feedback improves surgeons' user experience and fracture reduction in facial trauma simulation. J Rehabil Res Dev. 2016;53(5):561-570. doi: 10.1682/JRRD.2015.03.0043.
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- F7124-R
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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