Advancing dental surgical training with biomimetic lattice reinforcement in polyjet-printed models

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Authors: Gunpreet Coudert Oberoi, Erik Kornfellner, Markus Königshofer, Bernhard Rosenauer, Markus Ortner, Andrea Lorenz, Francesco Moscato, Ewald Unger
Cited by: 1
References: 53

Abstract

BACKGROUND/ PURPOSE: Realistic soft-tissue behaviour is essential for surgical training, yet most additively manufactured models remain mechanically homogeneous. The purpose of this study was to investigate whether embedding biomimetic lattice architectures within standard PolyJet elastomers can improve the haptic and biomechanical realism of dental suturing models. MATERIALS AND METHODS: Seven different biomimetic lattice geometries: circular, cubic, donut, C-shaped, H-shaped, L-shaped (stretcher), and H-shaped (grid) were integrated into flexible polymer matrices via PolyJet printing, six replicates per lattice. The reinforced models underwent suture pull-out, three-point bending, and durometer tests to compare elasticity, suture retention, and surface roughness with those of non-reinforced specimens. A dental surgical simulation model incorporating the cubic lattice was fabricated and evaluated using a visual analogue scale (VAS). RESULTS: Lattice reinforcement significantly improved mechanical performance versus plain prints across tests. The cubic lattice showed the most favourable overall profile, achieving the highest suture pull-out force (5.16 ± 0.34 N), increased bending modulus (7.31 ± 0.07 MPa vs 1.70 ± 0.09 MPa for plain), and greater hardness (Shore A 66.3–66.5 vs 28.9 ± 1.26 for plain). Surface roughness was markedly reduced in lattice-reinforced specimens (e.g., ~87–107 µm for cubic/circular/H-grid) compared with plain (~511 ± 129 µm). The dental suture simulation model produced lifelike penetration resistance and knot security. CONCLUSION: Embedding biomimetic lattices into PolyJet materials yields enhanced biomechanics and haptics without resorting to expensive polymers. The cubic lattice performed best overall and informed the final model design. This cost-effective approach can augment surgical skills while reducing reliance on cadaveric or animal models.

Fields of Study & Subjects

Surgical Simulation and Training Soft Robotics and Applications Surgical Sutures and Adhesives

Publication details

Journal / source
BMC Oral Health
Publisher
Springer Science and Business Media LLC
Volume
26
Issue
1
Publication date
1 April 2026
Language
EN