The influence of unilateral disc displacement on stress in the contralateral joint with a normally positioned disc in a human temporomandibular joint: An analytic approach using the finite element method

Hattori-Hara, E.; Mitsui, Silvia Naomi; Mori, Hiroyo; Arafurue, Keiji; Kawaoka, Takuji; Ueda, Kanji; Yasue, Akihiro; Kuroda, Shingo; Koolstra, J.H.; Tanaka, Eiji

doi:10.1016/j.jcms.2014.09.008

Cited by 29 publications

(16 citation statements)

References 31 publications

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“…Also, the contact force is distributed over all interpenetrating vertices, which again changes between meshes. The complexity of this problem is supported by the fact that previous models of the human masticatory system did not include a mesh independent grid analysis (Koolstra and van Eijden, 2005; Mori et al, 2010; Commisso et al, 2014, 2015; Hattori-Hara et al, 2014; Martinez Choy et al, 2017). Additionally, the purpose of the presented model and the large amount of uncertainty in measured parameters of the jaw region will permit a larger amount of error.…”

Section: Discussionmentioning

confidence: 99%

“…While this set up allows researchers to compute more realistic force patterns of the joint, simulations often solely focus on the TMJ itself; neglecting or drastically simplifying the dentition as well as muscle force calculations. Additionally, due to the high computational cost of these models, typically static- or quasi-static simulations are performed (Mori et al, 2010; Commisso et al, 2014; Hattori-Hara et al, 2014). However, tasks that are most likely to create high forces in the joint, like mastication or tooth grinding, have important dynamic characteristics and hence cannot be appropriately modeled using a static or quasi-static set-up.…”

Section: Introductionmentioning

confidence: 99%

“…Mandible movement was constrained to only allow movement in the sagittal plane and clenching was simulated using an external load. Hattori-Hara et al (2014) created a model of the TMJ from a CT scan and a 1.5T MRI of a patient for the investigation of unilateral disk displacement during static clenching. The model includes the bony structures and TMJ disk.…”

Section: Introductionmentioning

confidence: 99%

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A Dynamic Jaw Model With a Finite-Element Temporomandibular Joint

et al. 2019

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The masticatory region is an important human motion system that is essential for basic human tasks like mastication, speech or swallowing. An association between temporomandibular disorders (TMDs) and high temporomandibular joint (TMJ) stress has been suggested, but in vivo joint force measurements are not feasible to directly test this assumption. Consequently, biomechanical computer simulation remains as one of a few means to investigate this complex system. To thoroughly examine orofacial biomechanics, we developed a novel, dynamic computer model of the masticatory system. The model combines a muscle driven rigid body model of the jaw region with a detailed finite element model (FEM) disk and elastic foundation (EF) articular cartilage. The model is validated using high-resolution MRI data for protrusion and opening that were collected from the same volunteer. Joint stresses for a clenching task as well as protrusive and opening movements are computed. Simulations resulted in mandibular positions as well as disk positions and shapes that agree well with the MRI data. The model computes reasonable disk stress patterns for dynamic tasks. Moreover, to the best of our knowledge this model presents the first ever contact model using a combination of EF layers and a FEM body, which results in a clear decrease in computation time. In conclusion, the presented model is a valuable tool for the investigation of the human TMJ and can potentially help in the future to increase the understanding of the masticatory system and the relationship between TMD and joint stress and to highlight potential therapeutic approaches for the restoration of orofacial function.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Dynamic Jaw Model With a Finite-Element Temporomandibular Joint

et al. 2019

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“…The biomechanical models of human masticatory system are powerful tools for evaluating the biomechanical microenvironment in the TMJ. Previously many researchers have attempted to develop two-dimensional or threedimensional TMJ models for simulation and animation of the TMJ motion and stress analysis in the TMJ during masticatory function without invasive approach (22,(55)(56)(57)(63)(64)(65)(66). With a revolution in computer science, the models have been in reality simulations including fourdimensional simulation.…”

Section: Final Remarksmentioning

confidence: 99%

Biomechanical and tribological properties of the temporomandibular joint

Tanaka¹

2021

Front Oral Maxillofac Med

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Osteoarthritis in the temporomandibular joint (TMJ-OA) is known as the end stage of TMJ disorders (TMDs), and most of TMJ-OA patients exhibit joint pain as a main symptom. TMJ-OA is a multifactorial disease, associated with articular cartilage breakdown and eventual joint destruction.Functional overloading and increased joint friction in the TMJ are recognized to induce degradation and abrasion of the joint components, leading to the onset and progression of TMJ-OA. Therefore, insight into the biomechanical and tribological properties of the articular components in the TMJ might contribute to better understanding of the etiology of TMJ degradation, leading to the development and progress of effective treatment remedy for TMJ-OA. The challenging project in TMJ biomechanics aims to identify biomechanical microenvironment in the TMJ, to develop the diagnosis system for TMDs, and to develop a new treatment remedy for TMDs including TMJ tissue engineering. The present review consists of three parts. Part I is a brief review of the biomechanical properties of the TMJ articular components. In Part II, the TMJ lubrication is explained from the viewpoint of the joint tribology. In the final remarks, the possibility of TMJ computed simulation will be discussed. Future studies with much efforts are required to measure and visualize the biomechanical microenvironment within the TMJ during mandibular movements in clinical aspect.

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“…Approximately 2–4% of the U.S. population are estimated to seek treatment for temporomandibular symptoms [1]. Accurate description of temporomandibular morphometry is critical for clinical diagnosis and surgical planning, design and development of regenerative scaffolds and prosthetic devices [2–6], and to accurately model temporomandibular stresses and strains, contact mechanics, and nutrient environment [7–9]. However, discrepancies in reported temporomandibular morphometry between measurement techniques results in controversy surrounding the real size and shape of temporomandibular components.…”

Section: Introductionmentioning

confidence: 99%

Effect of Measurement Technique on TMJ Mandibular Condyle and Articular Disc Morphometry: CBCT, MRI, and Physical Measurements

Coombs

Bonthius

Nie

et al. 2019

Journal of Oral and Maxillofacial Surgery

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Physical measurements after dissection are still considered the reference standard. However, owing to their inaccessibility in vivo, understanding how the imaging technique affects the temporomandibular size and shape is critical toward the development of high-fidelity solid models to be used in the design and development of regenerative scaffolds, surgical planning, prosthetic devices, and anatomic investigations.

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The influence of unilateral disc displacement on stress in the contralateral joint with a normally positioned disc in a human temporomandibular joint: An analytic approach using the finite element method

Cited by 29 publications

References 31 publications

A Dynamic Jaw Model With a Finite-Element Temporomandibular Joint

A Dynamic Jaw Model With a Finite-Element Temporomandibular Joint

Biomechanical and tribological properties of the temporomandibular joint

Effect of Measurement Technique on TMJ Mandibular Condyle and Articular Disc Morphometry: CBCT, MRI, and Physical Measurements

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