Status
Conditions
Treatments
Study type
Funder types
Identifiers
About
The Twin Block appliance is a removable orthodontic appliance that is used to help correct a backward positioned lower jaw in growing children. This appliance works by guiding the lower jaw forward to a specific position over a certain period of time. After completing the treatment, patients often experience improvements in their appearance, such as an improved bite, a more balanced facial profile and improved lip posture.
The investigators' interest is to compare two types of Twin Block appliances; traditional (conventional) and 3D-printed, by examining several factors, including the amount of bacteria that stick to them, the surface roughness, and the overall effectiveness of each type.
Surface roughness refers to the texture of the appliance's surface, which could influence how much bacteria can accumulate. Rougher surfaces may trap more bacteria, potentially leading to oral health issues such as bad breath, tooth decay, and gum problems. The study will also assess the effectiveness of both the conventional and 3D-printed Twin Block appliances, focusing on factors like how well they perform in improving jaw position and achieving the desired treatment outcomes.
Additionally, the investigators want to assess how these appliances affect the quality of life related to oral health. Participants will answer questions about their experience to help understand how the type of appliance impacts their daily lives, comfort, and overall well-being during the course of treatment.
Full description
RATIONALE OF STUDY
The rationale is to explore and address concerns related to the use of 3D printed resins with the Twin Block Appliance (TBA), in comparison to the conventional materials PMMA. The surface roughness of 3D printed resins, has been reported to be different from conventional materials and has been associated with increased microbial adhesion, particularly to Candida. This raises concerns about the potential oral health risks, such as dental caries and mucosal inflammation, when using 3D printed materials for orthodontic appliances.
Based on previous literature, it is postulated that bacterial load will be present on TBA surfaces, with the possibility of variation depending on the type of material used. This study aims to determine whether the microbial load decreases or increases based on the appliance material. Till date, there still remains a research gap specifically on microbial load in Twin Block appliances, making this study relevant in understanding the risks involved in the use of different materials in orthodontics.
Additionally, the study seeks to examine the effectiveness of 3D printed TBAs in reducing overjet and improving dental aesthetics, as well as the acceptability of these appliances by patients compared to conventional TBAs.
Furthermore, the study will compare the potential complications and treatment failures between conventional and 3D printed TBAs, aiming to demonstrate the practicality and feasibility of adopting 3D printing in the digital workflow for this appliance. By focusing on microbial adherence, surface roughness, treatment effectiveness, and oral health-related quality of life (OHRQoL), the study intends to provide valuable insights that could support the adoption of 3D printing technology in orthodontics while addressing the potential oral health risks associated with its use.
PRIMARY OBJECTIVES
SECONDARY OBJECTIVES
SAMPLE SIZE ESTIMATION Sample size was determined using G*Power Software (Version 3.1.9.2). Sample size calculation was performed based on an alpha significance level of 0.05 and an effect size of 1.316 to achieve 80% power, to detect a significant difference between the groups. Based on the calculation, the total number of participants needed for this study is 11 participants per group. To anticipate a 36% drop out rate, the sample size required would be at least 15 participants per group.
METHODOLOGY
Recruitment
Block Randomization
Informed consent and assent
Methodology based on objectives:
Primary objective 1: To compare the microbial adherence between the conventional Twin Block appliance (TBA) and the 3D-printed Twin Block appliance (3D TBA).
Primary Objective 2: To compare the impact of the appliances on the perception of dental aesthetics in patients wearing the TBA and 3D TBA.
Secondary Objective 1: To compare the surface roughness of TBA and 3D TBA at baseline and after 6 months.
Surface roughness will be measured three times in three different directions on each appliance using a profilometer at baseline (T0) and 6 months (T2) after appliance fitting
The three measurements performed for each specimen will be used to calculate the average surface roughness (Ra) and will be recorded in micrometres (µm).
The surface that it captures it best recorded on a flat surface, hence, the fitting surface and biting surface on the bite blocks of the upper and lower appliance will be used as reference point as the area of interest is similar for both conventional TBA and 3D TBA.
-- Surface roughness is crucial because rough surfaces may promote microbial adherence, influencing the results of the microbial analysis.
These measurements will be compared between the conventional TBA and the 3D TBA to assess the impact of different materials on appliance surface texture.
Secondary Objective 2: To determine the association between the surface roughness of TBA and 3D TBA with microbial adherence.
Secondary Objective 3: To compare the impact of the appliances on the daily performances in patients wearing the TBA and 3D TBA.
Secondary Objective 4: To compare treatment effectiveness in the time required to reduce overjet within normal limits (<4mm).
Secondary Objective 5: To compare treatment effectiveness in achieving the skeletal and dental changes between TBA and 3D TBA.
Secondary Objective 6: To compare the risks for potential complications and treatment failures between the TBA and 3D TBA.
STATISTICAL ANALYSES Results obtained will be computed using Statistical Package for Social Science (SPSS) software version 29.0.1 for Mac OS Catalina. Parametric tests will be applied for normally distributed data and non-parametric tests will be applied for non-normally distributed data. The level of statistical significance will be predefined at p < 0.05.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
Primary purpose
Allocation
Interventional model
Masking
32 participants in 2 patient groups
Loading...
Central trial contact
Roselyn Mathew; Wan Nurazreena Wan Hassan
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal