Abstract

Although certain orbital fractures are associated with specific clinical symptoms, these relationships should be reviewed comprehensively. The optimal choice between manual preformed mesh implants (MPIs) and patient-specific mesh implants (PSIs) for orbital reconstruction remains undetermined due to inconclusive evidence regarding their effectiveness. This retrospective study investigated 280 patients with unilateral orbital fractures to explore the correlation between clinical ocular symptoms, including diplopia, enophthalmos, limitation of ocular movement, blindness, and the specific type of orbital fracture. The effects on orbital volume (OV) and orbital volume ratio (OVR) of MPI and PSI with and without the use of navigation were also evaluated in this study. Patients were categorized into 4 groups: MPI, PSI, navigation-assisted MPI, and navigation-assisted PSI. After this categorization, alterations in OV and OVR were analyzed before and after surgical intervention. Significant correlations were observed between the orbital fracture type and diplopia, enophthalmos, and limitation of ocular movement (P < 0.05). Patients in the MPI group exhibited a notable difference in the postoperative OV between the injured and normal sides (P < 0.05), but no statistically significant difference was found in the postoperative OV between the injured and normal sides among the patients in the other 3 groups (P > 0.05). Moreover, the MPI group demonstrated significantly higher postoperative OVR than the other groups (P < 0.05). Notably, PSI remained effective with or without navigation, MPI combined with navigation technology achieved a reconstruction quality similar to that of PSI by rectifying positioning errors during surgery. The authors found significant correlations (P < 0.05) between orbital fracture type and diplopia, enophthalmos, and limitations of ocular movement. Patient-specific mesh implant plays an important role in orbital reconstruction. It is also a good method for reconstructing orbital fractures using MPI assisted by navigation technology.

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