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Updated: Nov 24, 2025

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Treatment of Facial Deformities using 3D Planning and Printing of Patient-Specific Implants
Published on: May 23, 2020
7.7K
Advances in Oromandibular Reconstruction with Three-Dimensional Printing
Adam Bender-Heine1, Daniel Petrisor1, Mark K Wax1
1Department of Otolaryngology, Oregon Health and Science University, Portland, Oregon.
Facial Plastic Surgery : FPS
|December 28, 2020
Summary
Reconstructing complex mandibular defects is crucial for restoring function and appearance after surgery. This review covers surgical techniques and computer modeling for optimal planning and outcomes.
Area of Science:
- Oral and Maxillofacial Surgery
- Anatomical Reconstruction
- Biomedical Engineering
Background:
- The mandible is vital for physiological functions and susceptible to pathological processes requiring surgical resection.
- Reconstruction after mandibular resection is essential for functional restoration, aesthetics, and dental rehabilitation.
- Complex mandibular defects pose significant challenges for surgeons.
Purpose of the Study:
- To review current reconstructive options for complex mandibular defects.
- To highlight surgical techniques for maximizing functional restoration.
- To discuss the role of computer modeling in planning mandibular reconstruction.
Main Methods:
- Literature review of surgical reconstructive techniques for mandibular defects.
- Analysis of functional and aesthetic outcomes associated with different methods.
- Exploration of computer-aided design and manufacturing (CAD/CAM) in reconstructive planning.
Main Results:
- Various surgical options exist, including free flaps and alloplastic materials.
- Functional restoration depends on the chosen technique and defect size.
- Computer modeling aids in precise pre-operative planning and implant design.
Conclusions:
- Effective reconstruction of complex mandibular defects requires a multidisciplinary approach.
- Surgical techniques should prioritize functional and aesthetic restoration.
- Advanced technologies like computer modeling enhance reconstructive precision and patient outcomes.

