Kinematic classification of mandibular movements in patients with temporomandibular disorders based on PCA.

This retrospective study aimed to kinematically classify mandibular movements collected during Temporomandibular Disorders (TMD) treatment, employing Fourier transformation (FT), Principal Component Analysis (PCA), and K-means clustering (k-means), and to investigate their correlation with symptoms of pain-related TMD. The study included five TMD participants diagnosed with myalgia (age: 39-86 years, with an SD of 18.96) and three healthy participants (age: 32-42 years, with an SD of 5.

The effects of bone remodeling on biomechanical behavior in a patient with an implant-supported overdenture.

This study aimed to clarify the effects of bone remodeling on biomechanical behavior in a patient with a mandibular implant-supported overdenture by comparing computed tomography-based finite element analyses (CT-FEA) with two time points of CT data. The present FEA was based on CT data collected from a 62-year-old female subject, who wore a mandibular implant overdenture supported by four dental implants with bar attachment. Two kinds of FE models were constructed from CT data taken at two time points: pre-implantation (Original-model) and 12 years post-implantation (Aged-model).

Effect of peri-implant bone resorption on mechanical stress in the implant body: In vivo measured load-based finite element analysis.

Background: Research on resolving implant fracture is still gaining attention as it can be a serious treatment failure outcome. The implant fracture is likely to occur due to increased stress in implant body associated with peri-implant bone resorption.

Objective: This study aimed to investigate the relationship between degree of peri-implant bone resorption and stress distribution in implant body by using finite element analysis (FEA).

Biological-data-based finite-element stress analysis of mandibular bone with implant-supported overdenture.

Background: This study aimed to evaluate the stress distribution in a mandibular bone with an implant-supported overdenture by a biological-data-based finite element analysis (FEA) utilizing personal CT images and in vivo loading data, and to evaluate the influence of the number and alignment of implants and bone conditions on the stress in peri-implant bone.

Methods: FEA models of a mandible were constructed for two types of overdentures: 4 implants supported overdenture (4-OD) and 2 implants supported overdenture (2-OD). The geometry of these models was constructed from CT images of a subject, who wore an implant-supported overdenture.

Stress distribution in the peri-implant bone with splinted and non-splinted implants by in vivo loading data-based finite element analysis.

The aim of this study was to evaluate stress distribution in peri-implant bone and to investigate the influence of splinting implants by finite element analysis (FEA) with in vivo loading data. The magnitude and direction of the force exerted on implants during maximal voluntary clenching of a subject were recorded with 3-D piezoelectric force transducers. FEA using in vivo loading data was conducted on splinted and non-splinted models with two implants.

Development of in vivo measuring system of the pressure distribution under the denture base of removable partial denture.

Purpose: To develop a system to measure the pressure distribution under the base of a removable partial denture (RPD) and to apply it in vivo.

Methods: A tactile sensor sheet with 100 sensing points and a measuring system (I-SCAN, Nitta, Osaka, Japan) were used. The sensor was calibrated before being applied in vivo.