FINITE ELEMENT ANALYSIS OF POLYMERIZATION SHRINKAGE AND CAVITY DESIGN IN RESTORATIVE DENTISTRY: A SCOPING REVIEW

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Güney E. N.

10TH INTERNATIONAL CONGRESS ON CURRENT APPROACHES IN MEDICINE, NURSING, MIDWIFERY, AND HEALTH SCIENCES, İzmir, Türkiye, 16 - 18 Eylül 2026, ss.849, (Özet Bildiri)

  • Yayın Türü: Bildiri / Özet Bildiri
  • Doi Numarası: 10.30546/19023.978-9952-610-90-1.2026.100.1147.
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.849
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet

Özet

Background and aim: Polymerization contraction and cavity geometry influence stress transfer within restored teeth, but finite element analysis (FEA) studies use heterogeneous modeling assumptions that limit direct comparison. This scoping review mapped how FEA has been used to investigate polymerization shrinkage and cavity design in restorative dentistry. Methods: PubMed/MEDLINE, Scopus, and Web of Science were searched from inception to May 2026. English-language full-text reports using FEA as a primary method were screened and synthesized descriptively. Results: Of 1,132 records, 232 full texts were assessed and 66 studies were included: 40 on polymerization shrinkage and 26 on cavity design. Among the shrinkage studies, 10 evaluated C-factor, 20 modeled a distinct adhesive or cement layer or an interface element, 10 assessed interfacial debonding or damage, 10 applied additional mechanical loading, and four modeled actual thermal or environmental exposure. Cavity-design studies examined margin design (n=8), remaining tooth structure (n=6), cusp coverage (n=5), cavity dimensions (n=4), and optimization-based design (n=3). All included studies reported stress distribution; fracture risk was assessed in 17 studies and interfacial stress in 15. Conclusion: FEA findings were strongly influenced by geometry, material assumptions, interface representation, and loading conditions. More consistent reporting, explicit validation and mesh-convergence assessment, realistic interface definitions, and clinically relevant combined loading are needed to improve comparability and clinical interpretation.