Finite Element Analysis of Stress Distribution in Pediatric Zirconia Crowns Luted With Four Different Cements

Background Prefabricated zirconia crowns are increasingly used in pediatric dentistry due to their aesthetic and mechanical advantages. The selection of luting cement significantly influences stress distribution at the crown-tooth interface, potentially affecting long-term clinical performance. Objective To evaluate and compare the stress distribution in prefabricated zirconia crowns luted with four different cements zinc phosphate cement (ZPC), zinc polycarboxylate cement (PC), glass ionomer cement (GIC), and resin cement (RC) using finite element analysis (FEA). Methods A three-dimensional finite element model of a primary mandibular second molar restored with a prefabricated zirconia crown was developed. The model was analyzed under vertical, oblique, and lateral masticatory loads using four types of luting cements. Stress distribution was assessed using von Mises stress criteria across the tooth, crown, and cement layers. Results ZPC exhibited the highest von Mises stress values across all loading conditions, especially in the cement and dentin layers.PC demonstrated the lowest stress values, indicating reduced mechanical strain on the underlying structures. Conclusion The choice of luting cement plays a critical role in stress distribution beneath zirconia crowns. Zinc polycarboxylate cement showed the most favorable biomechanical behavior in this finite element model under simulated masticatory forces. However, clinical studies are needed to validate these findings and assess long-term outcomes.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-04-21
DOI
https://doi.org/10.7759/cureus.82694
Primary Topic
Dental Implant Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Finite Element Analysis of Stress Distribution in Pediatric Zirconia Crowns Luted With Four Different Cements

Selvakumar Haridoss, Rajendran Ganesh, T. Subbalekshmi, Subhashree Sahoo et al.
Cureus
Dental Implant Techniques and Outcomes
article

Finite Element Analysis of Stress Distribution in Pediatric Zirconia Crowns Luted With Four Different Cements

Selvakumar Haridoss, Rajendran Ganesh, T. Subbalekshmi, Subhashree Sahoo, Kavitha Swaminathan, Senthil Kumar Palanimuthu
article en

Abstract

Background Prefabricated zirconia crowns are increasingly used in pediatric dentistry due to their aesthetic and mechanical advantages. The selection of luting cement significantly influences stress distribution at the crown-tooth interface, potentially affecting long-term clinical performance. Objective To evaluate and compare the stress distribution in prefabricated zirconia crowns luted with four different cements zinc phosphate cement (ZPC), zinc polycarboxylate cement (PC), glass ionomer cement (GIC), and resin cement (RC) using finite element analysis (FEA). Methods A three-dimensional finite element model of a primary mandibular second molar restored with a prefabricated zirconia crown was developed. The model was analyzed under vertical, oblique, and lateral masticatory loads using four types of luting cements. Stress distribution was assessed using von Mises stress criteria across the tooth, crown, and cement layers. Results ZPC exhibited the highest von Mises stress values across all loading conditions, especially in the cement and dentin layers.PC demonstrated the lowest stress values, indicating reduced mechanical strain on the underlying structures. Conclusion The choice of luting cement plays a critical role in stress distribution beneath zirconia crowns. Zinc polycarboxylate cement showed the most favorable biomechanical behavior in this finite element model under simulated masticatory forces. However, clinical studies are needed to validate these findings and assess long-term outcomes.

CureusVol. 17(4)
Sri Ramachandra Institute of Higher Education and Research (IN)
Openalex Percentile: Top 89%
Dental Implant Techniques and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.