Evaluating the Efficacy of a Novel Multimaterial 3D-Printed Phantom for Otologic Surgical Education and Simulation
OBJECTIVE: To design and validate a cost-effective, multimaterial 3D-printed temporal bone phantom that replicates the anatomic and haptic properties of human bone for surgical simulation and training. STUDY DESIGN: Prospective cohort study. SETTING: Tertiary academic medical center. PARTICIPANTS: Sixteen otolaryngology residents (PGY-1 to PGY-5) are participating in a multi-institutional temporal bone dissection course. INTERVENTION: Participants performed mastoidectomy and facial recess dissection on a novel 3D-printed phantom fabricated from calcium-enriched SimuBone PLA (for osseous structures) and contrasting colored PLA (for neurovascular anatomy). Performance was compared against cadaveric controls. MAIN OUTCOME MEASURES: Participants completed a structured 5-point Likert-scale survey assessing anatomic realism, tactile feedback, visual fidelity, and educational utility. Spearman rank-order correlations evaluated the relationship between surgeon experience and perceived model fidelity. RESULTS: The phantom demonstrated moderately high scores for anatomic fidelity (mean 3.56±0.51) and visual realism (mean 3.62±0.50), with overall realism rated at 3.50±0.52. Although tactile realism was rated lower (mean 3.06±0.57), 100% of participants rated the model as moderately to highly valuable for surgical training. Senior residents were more critical of anatomic fidelity (P<0.05) yet reported continued willingness to use the phantom for skill development. Qualitative feedback confirmed the utility of color-coded "no-go" zones for novice spatial orientation. CONCLUSIONS: The multimaterial 3D-printed phantom offers a scalable, cost-effective ($6.13 USD) alternative to cadaveric dissection with high anatomic accuracy. Although haptic nuances require further optimization, the model serves as an effective foundational simulator for otologic surgical education.
Authors
- Nimesh Nagururu (ORCID: https://orcid.org/0000-0001-5526-1425)
- Mohammad Salehizadeh (ORCID: https://orcid.org/0000-0002-7256-7028)
- Deepa Galaiya (ORCID: https://orcid.org/0000-0002-7221-9883)
- J Chen
- Adnan Munawar (ORCID: https://orcid.org/0000-0002-3400-4558)
- Oren Wei (ORCID: https://orcid.org/0000-0002-5683-3162)
- Andy S. Ding (ORCID: https://orcid.org/0000-0002-8490-057X)
- Francis X. Creighton (ORCID: https://orcid.org/0000-0003-3131-1162)
- Jonathan Wang (ORCID: https://orcid.org/0000-0002-6910-1403)
- Yang Wenyu (ORCID: https://orcid.org/0000-0003-2716-8690)
- Jin Wu
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Johns Hopkins Hospital (US)
- Stanford University (US)
Publication Details
- Journal
- Otology & Neurotology
- Published
- 2026-05-21
- DOI
- https://doi.org/10.1097/mao.0000000000004950
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00