stabilization splint
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F1000Research ◽  
2022 ◽  
Vol 10 ◽  
pp. 915
Author(s):  
Dobromira Shopova ◽  
Tanya Bozhkova ◽  
Svetlana Yordanova ◽  
Miroslava Yordanova

Bruxism is a disease with a multifactorial etiology. Its clinical manifestations are most often an unaesthetic smile with abraded tooth surfaces, temporomandibular disorders and muscle hyperactivity. Here we present a case of bruxism where proper articulation of the occlusal splint was performed using the T-scan Novus system. A patient with bruxism underwent treatment with stabilization splint made by 3D printer technology. Intraoral scanning was performed using Trios Color (3Shape, 2014), and the digital design was achieved using the 3Shape Dental system design - splint studio. Formlabs Form 2 printer with biocompatible resin Dental LT Clear Resin was used for printing. The T-Scan Novus system with software attached to it, version 9.1, was used for digital examination of the occlusion. A 2.7 mm thick occlusal splint was developed, and the software adapted the occlusion with antagonists. After adjustment with T-Scan Novus, a reduction in disocclusion time of the patient was achieved, which is a desired result in the treatment of bruxism. The position of the joint components was proven radiologically. The treatment of bruxism with splint therapy continues to be the main method of treatment. Using digital technology allows for more accurate constructions and precise balancing of occlusal relationships.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 915
Author(s):  
Dobromira Shopova ◽  
Tanya Bozhkova ◽  
Svetlana Yordanova ◽  
Miroslava Yordanova

Bruxism is a disease with a multifactorial etiology. Its clinical manifestations are most often an unaesthetic smile with abraded tooth surfaces, temporomandibular disorders and muscle hyperactivity. Here we present a case of bruxism where proper articulation of the occlusal splint was performed using the T-scan Novus system. A patient with bruxism underwent treatment with stabilization splint made by 3D printer technology. Intraoral scanning was performed using Trios Color (3Shape), and the digital design was achieved using the 3Shape Dental system design - splint studio. Formlabs Form 2 printer with biocompatible resin Dental LT Clear Resin was used for printing. The T-Scan Novus system with software attached to it, version 9.1, was used for digital examination of the occlusion. A 2.7 mm thick occlusal splint was developed, and the software adapted the occlusion with antagonists. After adjustment with T-Scan Novus, a reduction in disocclusion time of the patient was achieved, which is a desired result in the treatment of bruxism. The position of the joint components was proven radiologically. The treatment of bruxism with splint therapy continues to be the main method of treatment. Using digital technology allows for more accurate constructions and precise balancing of occlusal relationships.


2021 ◽  
Vol 26 (2) ◽  
pp. 144-149
Author(s):  
L. V. Dubova ◽  
S. S. Prisyazhnykh ◽  
N. V. Romankova ◽  
D. I. Tagiltsev ◽  
G. V. Maksimov

Relevance. The purpose of the research is to improve the functional diagnosis protocol in prosthodontic treatment of patients with TMD.Materials and methods. The optimal position of the mandible was determined for each patient by two methods: 1) TENS (transcutaneous electrical nerve stimulation) and 2) TENS + kinesiography. Then, the cone-beam computed tomography (CBCT) data were analyzed to determine the most physiological position of the condyles.Results. The analysis of the CT scans of patients without TMD (control group) showed that the right and left condyles occupy an anterior or central symmetrical position relative to the glenoid fossa. In the first and second methods, the condyles occupy an anterior or central position, which is the most optimal position of the lower jaw for the manufacturing of an occlusal stabilization splint. The statistical coefficients allowed us to determine that the second method was more accurate, since the obtained values were lower than those of the first method.Conclusion. Based on the results of this study, we can conclude that the improvement of the protocol, namely a new method for determining the optimal position of the mandible is more time-consuming, but more accurate and allows increasing the effectiveness at all stages of treatment of patients with this pathology.


CRANIO® ◽  
2020 ◽  
pp. 1-10
Author(s):  
Jae-Won Oh ◽  
Yong-Woo Ahn ◽  
Sung-Hee Jeong ◽  
Hye-Min Ju ◽  
Byong-Sop Song ◽  
...  

2020 ◽  
Vol 16 (3) ◽  
pp. 205-208
Author(s):  
Erkut Kahramanoglu ◽  
Zeliha Şanıvar Abbasgholizadeh ◽  
Seçil Özkan ◽  
Yasemin Özkan

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 89
Author(s):  
Jinxia Gao ◽  
Longjun Liu ◽  
Peng Gao ◽  
Yihuan Zheng ◽  
Wenxuan Hou ◽  
...  

Bruxism is a masticatory muscle activity characterized by high prevalence, widespread complications, and serious consequences but without specific guidelines for its diagnosis and treatment. Although occlusal force-based biofeedback therapy is proven to be safe, effective, and with few side effects in improving bruxism, its mechanism and key technologies remain unclear. The purpose of this study was to research a real-time, quantitative, intelligent, and precise force-based biofeedback detection device based on artificial intelligence (AI) algorithms for the diagnosis and treatment of bruxism. Stress sensors were integrated and embedded into a resin-based occlusion stabilization splint by using a layering technique (sandwich method). The sensor system mainly consisted of a pressure signal acquisition module, a main control module, and a server terminal. A machine learning algorithm was leveraged for occlusal force data processing and parameter configuration. This study implemented a sensor prototype system from scratch to fully evaluate each component of the intelligent splint. Experiment results showed reasonable parameter metrics for the sensors system and demonstrated the feasibility of the proposed scheme for bruxism treatment. The intelligent occlusion stabilization splint with a stress sensor system is a promising approach to bruxism diagnosis and treatment.


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