An in-vitro evaluation of a novel design of miniplate for fixation of fracture segments in the transition zone of parasymphysis-body region of mandible using finite element analysis

Datarkar, Abhay; Tayal, Shikha; Thote, Abhishek M.; Galiè, Manlio

doi:10.1016/j.jcms.2018.11.004

Cited by 14 publications

(6 citation statements)

References 9 publications

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“…The design is based on observations on clinically used osteosynthesis plates for mandibular fractures. In the condyle, body, and symphysis area, the use of two plates is generally accepted [25,42]. In non-displaced simple fractures of the mandibular angle, the miniplate fixation on the oblique ridge according to Champy is the standard method.…”

Section: Discussionmentioning

confidence: 99%

Analyzing the Fitting of Novel Preformed Osteosynthesis Plates for the Reduction and Fixation of Mandibular Fractures

Fuessinger¹,

Gass²,

Woelm³

et al. 2021

JCM

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Purpose: The known preformed osteosynthesis plates for the midface are helpful tools for a precise and fast fixation of repositioned fractures. The purpose of the current study is to analyze the precision of newly developed prototypes of preformed osteosynthesis plates for the mandible. Methods: Four newly designed preformed osteosynthesis plates, generated by a statistical shape model based on 115 CT scans, were virtually analyzed. The used plates were designed for symphyseal, parasymphyseal, angle, and condyle fractures. Each type of plate has three different sizes. For analysis, the shortest distance between the plate and the bone surface was measured, and the sum of the plate-to-bone distances over the whole surface was calculated. Results: A distance between plate and bone of less than 1.5 mm was defined as sufficient fitting. The plate for symphyseal fractures showed good fitting in 90% of the cases for size M, and in 84% for size L. For parasymphyseal fractures, size S fits in 80%, size M in 68%, and size L in 65% of the cases. Angle fractures with their specific plate show good fitting for size S in 53%, size M in 60%, and size L in 47%. The preformed plate for the condyle part fits for size S in 75%, for size M in 85%, and for size L in 74% of the cases. Conclusion: The newly developed mandible plates show sufficient clinical fitting to ensure adequate fracture reduction and fixation.

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Section: Discussionmentioning

confidence: 99%

Analyzing the Fitting of Novel Preformed Osteosynthesis Plates for the Reduction and Fixation of Mandibular Fractures

Fuessinger¹,

Gass²,

Woelm³

et al. 2021

JCM

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“…In recent decades, the field of steel has witnessed a substantial increase in the application of various theoretical calculations. These cutting‐edge techniques include density functional theory (DFT), [64,65] molecular dynamics simulations, [66–69] Monte Carlo simulations, [66] phase field simulations, [70–72] and finite element analysis [73] as illustrated in Figure 6a. Such advancements have culminated in exponential growth in computational data spanning multiple time and length scales within the materials domain.…”

Section: Ai Technology In Steel Materials Design and Discoverymentioning

confidence: 99%

Data‐driven and artificial intelligence accelerated steel material research and intelligent manufacturing technology

Geng,

Wang,

et al. 2023

Materials Genome Engineering Advances

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With the development of new information technology, big data technology and artificial intelligence (AI) have accelerated material research and development and industrial manufacturing, which have become the key technology driving a new wave of global technological revolution and industrial transformation. This review introduces the data resources and databases related to steel materials. It then examines the fundamental strategies and applications of machine learning (ML) in the design and discovery of steel materials, including ML models based on experimental data, industrial manufacturing data, and simulation data, respectively. Given the advancements in big data, AI/ML, and new communication technologies, an intelligent manufacturing mode featuring digital twins is deemed critical in guiding the next industrial revolution. Consequently, the application of intelligence manufacturing with digital twins in the iron and steel industry is reviewed and discussed. Furthermore, the applications of ML in service performance prediction of steel products are addressed. Finally, the future development trends for data‐driven and AI approaches throughout the entire life cycle of steel materials are prospected. Overall, this work presents an in‐depth examination of the integration of data‐driven and AI technologies in the steel industry, highlighting their potential and future directions.

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“…In the literature, a bone is considered to be an orthotropic or anisotropic material. However, in most finite element simulations, bone material (cortical tissue) is assumed to exhibit isotropic behavior [15,17,[25][26][27][28][29][30][31]. There are mainly three reasons for that.…”

Section: Geometry Of the Callus Tissuementioning

confidence: 99%

The Influence of Loading Program on the Stimulated Callus Mineralization

Miodowska¹,

Bielski²

2019

Applied Sciences

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The aim of this work is to describe the change of physical properties of the callus material with the use of the proposed mathematical model for callus remodeling. Callus tissue can be considered as a biomaterial where it’s properties change over time due to the stimulated healing process. The proposed model is based on the mechanical stimulus theory. It is used to estimate the stress-stimulated change in the callus, Young’s modulus, and the density in the case of a mandible fracture. Three healing loading programs are discussed and compared: optimal, intermittent, and intermittent with residual load. Here, the optimal loading program is understood as the in-time change of stimulating loads, which results in the shortest necessary healing time and, simultaneously, in the most uniform distribution of material density in the analyzed domain. The necessary healing time is a period after which the callus density (and hence the Young’s modulus) reaches the desired value. The results of the study suggest a significant difference in the value of the callus maximal density between all three analyzed loading programs for a given healing time interval. The highest values of the density are obtained using the optimal loading program, however, all three programs provide satisfactory density distributions. The analytical results are compared with the callus density estimation based on the computer tomography (CT) medical data.

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An in-vitro evaluation of a novel design of miniplate for fixation of fracture segments in the transition zone of parasymphysis-body region of mandible using finite element analysis

Cited by 14 publications

References 9 publications

Analyzing the Fitting of Novel Preformed Osteosynthesis Plates for the Reduction and Fixation of Mandibular Fractures

Analyzing the Fitting of Novel Preformed Osteosynthesis Plates for the Reduction and Fixation of Mandibular Fractures

Data‐driven and artificial intelligence accelerated steel material research and intelligent manufacturing technology

The Influence of Loading Program on the Stimulated Callus Mineralization

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