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Application of Computer-Aided Design and Individualized Templates for Bilateral Zygomaticomaxillary Complex Fractures
Tianren Zhou1, Jianping Li2, Songling Chen1
1Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou.
The Journal of Craniofacial Surgery
|December 15, 2021
Summary
Computer-aided design and individualized templates accurately guide zygomaticomaxillary complex (ZMC) fracture reduction. This method restores facial symmetry and ZMC shape, proving effective for treating bilateral ZMC fractures.
Area of Science:
- Oral and Maxillofacial Surgery
- Computer-Aided Surgery
- 3D Imaging in Medicine
Background:
- Bilateral zygomaticomaxillary complex (ZMC) fractures present significant challenges in achieving facial symmetry.
- Traditional reduction techniques can be complex and may lead to suboptimal aesthetic and functional outcomes.
Purpose of the Study:
- To evaluate the practicality and accuracy of using computer-aided design (CAD) and individualized templates for bilateral ZMC fracture reduction.
- To assess the effectiveness of this technique in restoring facial symmetry and zygomatic positioning.
Main Methods:
- A study involved 16 patients with bilateral ZMC fractures.
- Three-dimensional (3D) models were used to reconstruct the ZMC, mirrored to the contralateral side.
- Individualized templates, based on 3D models, provided intraoperative guidance for fracture reduction.
Main Results:
- Successful restoration of bilateral ZMC positioning was achieved in all patients.
- Postoperative horizontal asymmetry rates were below 3.0%, with no significant differences in orbital dimensions.
- Patient-reported outcomes, including mouth opening and infraorbital nerve sensation, showed improvement or normalization.
Conclusions:
- Computer-aided design and individualized templates offer an accurate and practical approach for treating bilateral ZMC fractures.
- This technique effectively restores ideal ZMC shape and achieves excellent facial symmetry.
- The virtual 3D model measurements closely correlated with postoperative patient measurements.

