Methods and applications of finite element analysis in dental trauma research: A scoping review

Author:

Atif Mohammad1,Tewari Nitesh1ORCID,Reshikesh Manjari1,Chanda Arnab2,Mathur Vijay Prakash1,Morankar Rahul1ORCID

Affiliation:

1. Division of Pediatric and Preventive Dentistry Centre for Dental Education and Research, All India Institute of Medical Sciences New Delhi India

2. Centre for Biomedical Engineering, IIT Delhi India

Abstract

AbstractFinite Element Analysis (FEA) is vital for understanding dental traumatology (DT) biomechanics, aiding diagnosis, treatment planning, and outcome prediction. This review explores FEA applications in DT research, evaluates their quality and outcomes, and assesses methodological aspects. Accordingly, recommendations for future researchers are provided. The study adhered to Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines for scoping reviews and registered in Open Science framework. A comprehensive search using relevant text‐words and MeSH terms was performed in established databases. The inclusion criteria encompassed all Finite element analysis (FEA)‐based Dental traumatology (DT) studies without language or publication year restrictions. Risk of bias was assessed with the Risk of bias tool for the use of finite element analysis in dentistry (ROBFEAD) tool. Forty‐six studies published from 2001 to 2023 were included in the qualitative synthesis. The studies were categorized into five domains and six subdomains based on objectives. Maxillary central incisors and surrounding structures were commonly modelled (n = 27). Most studies utilized Computed tomography (CT), Cone Beam CT, or micro CT. Traumatic injury forces ranged from 100 N to 2000 N, and occlusal forces ranged from 150 N to 350 N. All studies were rated as high risk of bias. Fory‐six studies were categorized, with most focusing on stress distribution and fracture patterns in dento‐alveolar structures under various conditions, while few assessed displacements. Methodological quality lacked robustness in model development and substructure properties. Future studies should address these limitations and enhance reporting practices.

Publisher

Wiley

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