Four Titanium Mandibular Designs Trade Off Modeled Implant and Bone Stress
A peer-reviewed BMC Oral Health study published on September 4, 2026 compared four patient-specific titanium implant designs for hemimandibular reconstruction. Under one finite-element setup, the design with the lowest calculated implant-body stress was not the design with the lowest calculated cortical-bone stress (BMC Oral Health).
That is an observed multi-endpoint trade-off, not proof that one geometry caused a universal load-transfer mechanism. The four models differed in architecture and, for one design, screw count. The useful procurement lesson is narrower: a design review cannot call an implant “optimized” until it names the endpoint, preserves the model conditions and identifies the evidence still required before a design advances.

The comparison must keep every design linked to its conditions
The researchers reconstructed one adult male cone-beam CT anatomy and simulated a hemimandibulectomy defect. They applied static, linear finite-element analysis with bilateral masseter-only loads of 100 N, 300 N and 500 N to each side. The highest condition therefore represented 1,000 N total applied masseter load. The authors describe 500 N per side as an intentionally high computational stress test; it was not calibrated as a physiological bite force.
At that highest condition, the complete comparison was:
| Design | Screws | Cortical maximum principal stress | Implant-body von Mises stress |
|---|---|---|---|
| Lattice | 8 | 215.03 MPa | 176.58 MPa |
| Solid | 8 | 197.25 MPa | 105.12 MPa |
| Custom Tray | 8 | 125.00 MPa | 250.55 MPa |
| Reconstruction Plate | 10 | 130.75 MPa | 279.19 MPa |
The Solid model had the lowest implant-body peak, while the Custom Tray model had the lowest cortical peak. The Reconstruction Plate used 10 screws, whereas the other three designs used 8. Architecture, screw configuration and their interaction with the model constraints were therefore not isolated as single controlled variables. The table supports a relative ranking under this setup; it does not establish that changing geometry or stiffness alone caused the differences.
Peak stresses repeatedly appeared around fixation regions adjacent to the resection. That location finding gives a review team a concrete inspection target, but it still belongs to this model. It should prompt fixation-region verification rather than a claim that one screw layout or transition geometry is clinically superior.
“Below alloy yield” and “acceptable bone response” are different questions
All modeled implant and screw stresses remained below the 830 MPa Ti-6Al-4V yield-strength value selected by the authors. At 500 N per side, however, calculated cortical maximum principal stress exceeded the study’s selected 115 MPa reference threshold in every model.
These statements describe two modeled endpoints. They do not show actual implant yielding, bone microfracture or clinical failure. The paper treats 115 MPa as a comparison reference, not as a universal biological failure criterion. Its results therefore cannot be reduced to either “the titanium passed” or “the bone failed.”
For a buyer or design-review team, the practical distinction is between material adequacy and system evidence. A Ti-6Al-4V yield comparison addresses one metal-side limit inside the analysis. It does not answer whether the fixation layout, patient anatomy, bone representation, cyclic exposure or intended clinical outcome is acceptable.
Use an endpoint-and-condition record, not a winner label
A controlled design comparison should bind each reported result to six fields:
| Field | What the record must identify |
|---|---|
| Patient and revision | The anatomy dataset, defect definition and exact design revision |
| Material and build state | The modeled material assumptions and the physical manufacturing state to be verified |
| Fixation configuration | Screw count, position, interface definition and any simplified geometry |
| Load and boundary setup | Applied muscles, magnitude, direction, constraints and contact assumptions |
| Endpoint | Implant, screw, cortical or cancellous stress; peak location; fatigue or displacement where applicable |
| Decision status | Exploratory result, verified result, unresolved hold or failed criterion requiring escalation |
This record prevents a favorable value for one endpoint from being detached from an unfavorable value elsewhere. It also exposes when two designs are not directly comparable because screw count, contact treatment or boundary conditions differ.
At a design-freeze or verification review, the device developer’s review team can use the record as a decision control. The team should identify the specific patient/design revision, record the material and manufacturing state, state the test or analysis method and environment, capture actual results against predefined criteria, and name the responsible reviewer. Missing or untraceable evidence should place the design on hold; a verified conflict with a predefined requirement should be escalated or rejected under the developer’s quality process.
That workflow is an editorial recommendation, not a procedure validated by this paper. It is necessary documentation discipline, not sufficient evidence for product release. This single study alone cannot support release of a patient-specific implant.

The lattice result remains architecture-specific
The Lattice model produced the highest calculated cortical peak in this comparison. Its architecture, however, was generated automatically by the software without a prescribed strut diameter, pore size, target porosity or characterized unit-cell architecture. The study also did not evaluate stress shielding or osseointegration directly.
The defensible conclusion is therefore limited to the tested lattice instance. The result does not establish that lattice titanium is generally inferior. For a future comparison, unit cell, relative density, strut dimensions and local reinforcement would need to be specified as controlled inputs, then verified in the manufactured article. Whether build orientation, post-processing or surface state materially changes performance remains a test question here; this study did not evaluate those variables.
Boundary sensitivity limits the apparent precision
The analysis assumed bonded interfaces and linear-elastic, homogeneous, isotropic materials. Screw threads were simplified. Both condyles were fully constrained, and occlusal contacts at the incisors, canines and molars were restricted vertically. The authors note that these restrictive boundaries may increase absolute stresses, but they did not run alternative-boundary sensitivity analyses.
The meshes were not formally converged to a predefined quantitative criterion, so local peaks may be mesh-sensitive. The study was also static, single-anatomy and unvalidated. It omitted cyclic fatigue, several muscle groups, the temporomandibular joint disc, cartilage and surrounding soft tissues, and it lacked validation against cadaveric or synthetic specimens or a validated intact-mandible model.
Those limits define a next-evidence sequence rather than invalidating the comparison:
- verify mesh and peak-location stability;
- test alternative contacts, constraints, muscle loads and patient anatomies;
- evaluate cyclic loading and fixation-interface behavior;
- compare physical specimens with model predictions;
- connect engineering endpoints to evidence appropriate for the intended clinical claim.
The study’s new value is specific: four titanium designs showed different implant-side and bone-side rankings, while fixation-adjacent regions remained the recurring modeled stress focus. That supports multi-endpoint review under explicit conditions. It does not support a universal geometry mechanism, a clinical superiority claim or production release.
Source boundary: This analysis uses the complete publisher PDF and the official publication page for DOI 10.1186/s12903-026-09771-9. It treats the findings as relative computational comparisons, preserves the 10-versus-8-screw confounder and high-load boundary, and does not infer clinical superiority, universal failure thresholds or production readiness.
FAQ
# Which design had the lowest modeled implant-body stress?
# Which design had the lowest modeled cortical-bone stress?
# Why can the four designs not be treated as an isolated geometry test?
# Does this study support release of a patient-specific implant?
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