Pilot Evaluation of Silicone Surrogates for Oral Mucosa Simulation in Craniofacial Surgical Training
- PMID: 39194443
- PMCID: PMC11351663
- DOI: 10.3390/biomimetics9080464
Pilot Evaluation of Silicone Surrogates for Oral Mucosa Simulation in Craniofacial Surgical Training
Abstract
Surgical simulators are crucial in early craniofacial and plastic surgical training, necessitating synthetic materials that accurately replicate tissue properties. Recent critiques of our lab's currently deployed silicone surrogate have highlighted numerous areas for improvement. To further refine our models, our group's objective is to find a composition of materials that is closest in fidelity to native oral mucosa during surgical rehearsal by expert craniofacial surgeons. Fifteen platinum silicone-based surrogate samples were constructed with variable hardness and slacker percentages. These samples underwent evaluation of tactile sensation, hardness, needle puncture, cut resistance, suture retention, defect repair, and tensile elasticity. Expert craniofacial surgeon evaluators provided focused qualitative feedback on selected top-performing samples for further assessment and statistical comparisons. An evaluation revealed surrogate characteristics that were satisfactory and exhibited good performance. Sample 977 exhibited the highest performance, and comparison with the original surrogate (sample 810) demonstrated significant improvements in critical areas, emphasizing the efficacy of the refined composition. The study identified a silicone composition that directly addresses the feedback received by our team's original silicone surrogate. The study underscores the delicate balance between biofidelity and practicality in surgical simulation. The need for ongoing refinement in surrogate materials is evident to optimize training experiences for early surgical learners.
Keywords: craniofacial; education; mucosa; otolaryngology; silicone; simulation; surgery.
Conflict of interest statement
D.A.Z. is a co-founder of MakeMedical, LLC. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
Figures



Similar articles
-
Skeletal muscle surrogates for the acquisition of muscle repair skills in upper limb surgery.J Mech Behav Biomed Mater. 2022 Jul;131:105216. doi: 10.1016/j.jmbbm.2022.105216. Epub 2022 Apr 16. J Mech Behav Biomed Mater. 2022. PMID: 35487107
-
Peritonsillar Abscess Simulator: A Low-Cost, High-Fidelity Trainer.J Educ Teach Emerg Med. 2022 Apr 15;7(2):I1-I9. doi: 10.21980/J85M0B. eCollection 2022 Apr. J Educ Teach Emerg Med. 2022. PMID: 37465440 Free PMC article.
-
Mechanical Characterization and Standardization of Silicon Scalp and Dura Surrogates for Neurosurgical Simulation.World Neurosurg. 2023 Jan;169:e197-e205. doi: 10.1016/j.wneu.2022.10.090. Epub 2022 Oct 29. World Neurosurg. 2023. PMID: 36415013
-
Exploring the Role of Simulation Training in Improving Surgical Skills Among Residents: A Narrative Review.Cureus. 2023 Sep 4;15(9):e44654. doi: 10.7759/cureus.44654. eCollection 2023 Sep. Cureus. 2023. PMID: 37799263 Free PMC article. Review.
-
Simulation models for learning local skin flap design and execution: A systematic review of the literature.Front Surg. 2022 Jul 20;9:918912. doi: 10.3389/fsurg.2022.918912. eCollection 2022. Front Surg. 2022. PMID: 35937603 Free PMC article. Review.
Cited by
-
Creating a sustainable and inexpensive dry animal training model for liver surgery in low- and middle-income countries.Ecancermedicalscience. 2025 May 27;19:1911. doi: 10.3332/ecancer.2025.1911. eCollection 2025. Ecancermedicalscience. 2025. PMID: 40556794 Free PMC article.
References
-
- Appuhamillage G.A., Ambagaspitiya S.S., Dassanayake R.S., Wijenayake A. 3D and 4D printing of biomedical materials: Current trends, challenges, and future outlook. Explor. Med. 2024;5:17–47. doi: 10.37349/emed.2024.00203. - DOI
-
- Michaels R., A Witsberger C., Powell A.R., Koka K., Cohen K., Nourmohammadi Z., E Green G., A Zopf D. 3D printing in surgical simulation: Emphasized importance in the COVID-19 pandemic era. J. 3D Print. Med. 2021;5:5–9. doi: 10.2217/3dp-2021-0009. - DOI
-
- Michaels R.E., Witsberger C., Cin M.D., Zugris N.V., Jaksic D., Wen K., Nourmohammadi Z., Zopf D. Development of a High-Fidelity, 3D-Printed Veau Class II Cleft Palate Simulator with Patient-Specific Capabilities. J. 3D Print. Med. 2022;6:69–75. doi: 10.2217/3dp-2021-0027. - DOI
-
- Choi J.J.E., Zwirner J., Ramani R.S., Ma S., Hussaini H.M., Waddell J.N., Hammer N. Mechanical properties of human oral mucosa tissues are site dependent: A combined biomechanical, histological and ultrastructural approach. Clin. Exp. Dent. Res. 2020;6:602–611. doi: 10.1002/cre2.305. - DOI - PMC - PubMed
LinkOut - more resources
Full Text Sources
Miscellaneous