Methods and applications of finite element analysis in dental trauma research: A scoping review.
Mohammad AtifNitesh TewariManjari ReshikeshArnab ChandaVijay Prakash MathurGangadharao Morankar RahulPublished in: Dental traumatology : official publication of International Association for Dental Traumatology (2024)
Finite 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.
Keyphrases
- finite element analysis
- computed tomography
- case control
- systematic review
- meta analyses
- positron emission tomography
- healthcare
- magnetic resonance imaging
- randomized controlled trial
- image quality
- primary care
- spinal cord injury
- metabolic syndrome
- adipose tissue
- weight loss
- big data
- cone beam
- deep learning
- stress induced