From Analog to Digital: Advances, Challenges, and Material Innovations in Maxillofacial Prostheses Analogdan Dijitale: Maksillofasiyal Protezlerde Gelişmeler, Zorluklar ve Malzeme Yenilikleri
Selcuk Dental Journal, cilt.13, sa.2, ss.263-269, 2026 (Scopus, TRDizin)
- Yayın Türü: Makale / Derleme
- Cilt numarası: 13 Sayı: 2
- Basım Tarihi: 2026
- Doi Numarası: 10.15311/selcukdentj.1902228
- Dergi Adı: Selcuk Dental Journal
- Derginin Tarandığı İndeksler: Scopus, Central & Eastern European Academic Source (CEEAS), Directory of Open Access Journals, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.263-269
- Anahtar Kelimeler: Additive manufacturing, Artificial intelligence, Digital dentistry, Maxillofacial prosthetics, Prosthetic materials
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Hacettepe Üniversitesi Adresli: Evet
Özet
Background: The rehabilitation of maxillofacial defects is critical for restoring form, function, and patient quality of life. While conventional impression and hand-sculpting techniques present significant challenges regarding patient comfort and time efficiency, the integration of digital imaging, 3D printing, and advanced biomaterials has introduced a paradigm shift in maxillofacial prosthetics. Methods: This review evaluates the transition from analog to digital workflows in maxillofacial rehabilitation. The current approaches and technological advancements were analyzed across four key domains: digital data acquisition techniques (including optical scanning and photogrammetry), additive manufacturing modalities, the evolution and optimization of prosthetic materials, and the integration of artificial intelligence (AI) in design and fabrication processes. Results: Digital data acquisition enhances patient comfort and reproducibility, though conventional methods often remain necessary for capturing dynamic functional borders. Additive manufacturing provides geometric freedom and efficient mold fabrication; however, the direct printing of definitive soft-tissue prostheses is currently constrained by surface resolution (the "staircase effect") and color limitations. Material innovations, such as 3D-printed titanium mesh scaffolds combined with silicone, successfully reduce prosthesis weight. Furthermore, AI integration facilitates automated anatomical segmentation, pigment prediction, and symmetry assessment, acting as a highly effective adjunctive tool rather than a replacement for clinical expertise. Conclusions: Although digital technologies significantly streamline the fabrication workflow and improve predictability, they cannot yet fully replace conventional analog techniques due to existing standardization and esthetic limitations. Currently, the most effective clinical strategy is a hybrid approach that integrates digital precision for substructures and molds with conventional artistry for final esthetic characterization.