The Evolution of Complex Microsurgical Midface Reconstruction: A Classification Scheme and Reconstructive Algorithm.

Area of Science:

• Plastic Surgery
• Oncology
• Biomedical Engineering

Background:

• Orbito-malar reconstruction presents significant challenges in oncological resection cases.
• Historically, prosthetic rehabilitation was primary, with limited surgical options.
• Microsurgical advancements have enabled large-volume tissue transfer for defect repair.

Purpose of the Study:

• To introduce a novel, surgery-based algorithm for complete midface reconstruction.
• To present a new classification scheme for these complex defects.
• To integrate computer-aided virtual planning into the reconstructive process.

Main Methods:

• Development of a novel algorithm and classification scheme for midface defects.
• Application of Gillies principles for like-to-like tissue reconstruction.
• Utilization of computer-aided virtual planning for surgical strategy.

Main Results:

• The novel algorithm and classification scheme were successfully applied.
• Computer-aided planning played a significant role in the reconstructive approach.
• Improved patient outcomes were achieved compared to previous methods.

Conclusions:

• A new algorithm and classification scheme enhance midface reconstruction.
• Microsurgery combined with virtual planning offers superior results for oncological defects.
• This approach represents a significant advancement in facial reconstructive surgery.