Ignite Creation Date:
2024-05-06 @ 6:48 PM
Last Modification Date:
2024-10-26 @ 2:54 PM
Study NCT ID:
NCT05780827
Status:
RECRUITING
Last Update Posted:
2023-03-23
First Post:
2023-02-16
Brief Title:
Analysis of Clinical Data of Patients With Temporomandibular Joint Disorder
Sponsor:
Air Force Military Medical University China
Organization:
Air Force Military Medical University China
Study Overview
Official Title:
Analysis of Clinical Data of Patients With Temporomandibular Joint Disorder
Status:
RECRUITING
Status Verified Date:
2023-03
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
According to our previous research and clinical observation results the motor function of the oral maxillofacial and cervical body is closely related to the occlusal contact Not only that the occlusal contact also affects the psychological activities related to movement There are many technical means to evaluate the occlusion clinically However the occlusion is a complex motor organ with more than 3 dimensional including age factors morphological characteristics which makes the occlusion have obvious individualized characteristics It is of great significance to objectively evaluate oral health to accurately extract occlusal contact features analyze the relationship between occlusion and the motor function of oral maxillofacial neck and body as well as the corresponding psychological characteristics and establish an evaluation method of occlusal function for evaluating motor function and psychological characteristics
Detailed Description:
The project is intended to carry out the correlation between occlusal contact and subclinical indicators of physical and mental health The data collection method combining occlusal detection physical fitness detection and questionnaire survey is adopted to obtain the target data and then the machine learning method is used to extract the sensitive technical parameters from the collected data
1 Data collection
1 3D occlusal contact detection It is planned to recruit 1000 healthy volunteers and use oral laser scanner to conduct 3D scanning on them so as to obtain 3D occlusal digital model data of 1000 healthy volunteers A control group was set up at the same time and the model and data of 10000 patients who had previously visited the hospital in our departments existing case database were used for comparative analysis
2 Physical fitness test for the dynamicstatic standing balance function test of volunteers the dynamicstatic balance test system developed by our research group is used to test and obtain physical fitness parameters The sample size is statistically estimated and the average number of dynamicstatic tests is not less than 50 A control group was established at the same time volunteers with temporomandibular joint disorder and abnormal occlusion
3 Psychological evaluation including volunteers personality characteristics mental health level and basic flight ability
2 The extraction of machine learning occlusal parameters uses the 3D occlusal evaluation system reported by us to calculate the occlusal tightness and extracts the three-dimensional direction and comprehensive parameters of the upper and lower jaw according to the method reported by us a total of 10 quantitative indicators
3 Correlation analysis of occlusal contact and physical and mental health indicators For the collected occlusal parameter data the physical parameter data obtained from the dynamicstatic orthostatic balance function test and the psychological parameter data obtained from the personality characteristics mental health level and other tests the difference of the dynamicstatic ability of volunteers with healthy temporomandibular joint disorder and abnormal occlusion was compared with the analysis of variance Multiple regression method was used for correlation test Machine learning is used for cluster analysis
1 Data collection
1 3D occlusal contact detection It is planned to recruit 1000 healthy volunteers and use oral laser scanner to conduct 3D scanning on them so as to obtain 3D occlusal digital model data of 1000 healthy volunteers A control group was set up at the same time and the model and data of 10000 patients who had previously visited the hospital in our departments existing case database were used for comparative analysis
2 Physical fitness test for the dynamicstatic standing balance function test of volunteers the dynamicstatic balance test system developed by our research group is used to test and obtain physical fitness parameters The sample size is statistically estimated and the average number of dynamicstatic tests is not less than 50 A control group was established at the same time volunteers with temporomandibular joint disorder and abnormal occlusion
3 Psychological evaluation including volunteers personality characteristics mental health level and basic flight ability
2 The extraction of machine learning occlusal parameters uses the 3D occlusal evaluation system reported by us to calculate the occlusal tightness and extracts the three-dimensional direction and comprehensive parameters of the upper and lower jaw according to the method reported by us a total of 10 quantitative indicators
3 Correlation analysis of occlusal contact and physical and mental health indicators For the collected occlusal parameter data the physical parameter data obtained from the dynamicstatic orthostatic balance function test and the psychological parameter data obtained from the personality characteristics mental health level and other tests the difference of the dynamicstatic ability of volunteers with healthy temporomandibular joint disorder and abnormal occlusion was compared with the analysis of variance Multiple regression method was used for correlation test Machine learning is used for cluster analysis
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None