Evidence map›Paper›PMID 39663333›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

High-fidelity surgical simulator for the performance of craniofacial osteotomies.

Sreekanth Arikatla, Sadhana Ravikumar, Raymond White, Tung Nguyen, Beatriz Paniagua

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Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sreekanth ArikatlaMedical Computing, Kitware Inc, 101 E Weaver St g4, Carrboro, NC, 27510, USA.
Sadhana RavikumarMedical Computing, Kitware Inc, 101 E Weaver St g4, Carrboro, NC, 27510, USA.
Raymond WhiteSchool of Dentistry, University of North Carolina at Chapel Hill, Street, Chapel Hill, NC, 27599, USA.
Tung NguyenSchool of Dentistry, University of North Carolina at Chapel Hill, Street, Chapel Hill, NC, 27599, USA.
Beatriz PaniaguaMedical Computing, Kitware Inc, 101 E Weaver St g4, Carrboro, NC, 27510, USA. beatriz.paniagua@kitware.com.ORCID http://orcid.org/0000-0002-8437-6632

Funding

NIH High-fidelity Virtual Reality Trainer for Orthognathic Surgery - Phase IIR44DE027595 · NIDCR · KITWARE, INC. · PI PANIAGUA, BEATRIZ · 2019 to 2020
$1.5M
NIDCR NIH HHS R44DE027595
6 · The paper itself

Abstract

purposeThe oral and maxillofacial (OMF) surgical community is making an active effort to develop new approaches for surgical training in order to compensate for work-hour restrictions, mitigate differences between training standards, and improve the efficiency of learning while minimizing the risks for the patients. Simulation-based learning, a technology adopted in other training paradigms, has the potential to enhance surgeons' knowledge and psychomotor skills.

methodsWe developed a fully immersive, high-fidelity virtual simulation trainer system based on Kitware's open-source visualization and interactive simulation libraries: the Interactive Medical Simulation Toolkit (iMSTK) and the Visualization Toolkit (VTK). This system allows surgeons to train for the crucial osteotomy step in bilateral sagittal split osteotomy (BSSO) using a pen-grasp oscillating saw that is controlled in the virtual environment using a 3D Systems Geomagic Touch haptic device. The simulator incorporates a proficiency-based progression evaluation system to assess the correctness of the cut and provide user feedback.

resultsThree expert clinicians and two senior residents tested our pilot simulator to evaluate how the developed system compares to the performance of real-life surgery. The outcomes of the face and content validation study showed promising results with respect to the quality of the simulated images and the force feedback response they obtained from the device matched what they expected to feel.

conclusionThe developed trainer has the potential to contribute to a reduction in the prevalence of adverse surgical outcomes after OMF surgeries involving osteotomies. Observing the clinicians and talking through some of the difficulties helped us identify key areas for improvement. Future work will focus on further clinical evaluation for the BSSO surgical scenario and extension of the trainer to include other craniofacial osteotomy procedures.

Indexed as

Clinical CompetenceComputer SimulationHigh Fidelity Simulation TrainingOsteotomyOsteotomy, Sagittal Split RamusSimulation TrainingHumansUser-Computer InterfaceCraniofacial osteotomiesHigh-fidelity simulationOral and maxillofacial surgeryVirtual training

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.