Occlusion Complications

Resnik, Randolph R.; Misch, Carl E.

doi:10.1016/b978-0-323-37580-1.00017-2

Cited by 12 publications

(3 citation statements)

References 55 publications

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“…Patients can perceive an interference of 20 μm between their natural teeth and 64 μm when two implants oppose each other. 31 , 32 Studies using conventional materials for bite registration have considered contact areas with a thickness of 50 μm or smaller 33 , 34 and sites in close proximity to areas where the material of the interocclusal record had a thickness of less than 100 μm. 12 , 14 Several of our measurements were above these thresholds, and some distances reached extreme values above 200 μm.…”

Section: Discussionmentioning

confidence: 99%

A novel method for testing accuracy of bite registration using intraoral scanners

Kakali

Halazonetis

2023

Korean J Orthod

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Objective:The evidence on the accuracy of bite registration using intraoral scanners is sparse. This study aimed to develop a new method for evaluating bite registration accuracy using intraoral scanners. Methods: Two different types of models were used; 10 stone models and 10 with acrylic resin teeth. A triangular frame with cylindrical posts at each apex (one anterior and two posteriors) was digitally designed and manufactured using three-dimensional (3D) printing. Such a structure was fitted in the lingual space of each maxillary and mandibular model so that, in occlusion, the posts would contact their opposing counterparts, enforcing a small interocclusal gap between the two arches. This ensured no tooth interference and full contact between opposing posts. Bite registration accuracy was evaluated by measuring the distance between opposing posts, with small values indicating high-accuracy. Three intraoral scanners were used: Medit i500, Primescan, and Trios 4. Viewbox software was used to measure the distance between opposing posts and compute roll and pitch. Results: The average maximum error in interocclusal registration exceeded 50 μm. Roll and pitch orientation errors ranged above 0.1 degrees, implying an additional interocclusal error of around 40 μm or more. The models with acrylic teeth exhibited higher errors. Conclusions: A method that avoids the need for reference hardware and the imprecision of locating reference points on tooth surfaces, and offers simplicity in the assessment of bite registration with an intraoral scanner, was developed. These results suggest that intraoral scanners may exhibit clinically significant errors in reproducing the interocclusal relationships.

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Section: Discussionmentioning

confidence: 99%

A novel method for testing accuracy of bite registration using intraoral scanners

Kakali

Halazonetis

2023

Korean J Orthod

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“…19,21 The abutment part of the basal dental implant is exposed in the oral cavity region, and the length is 5 mm. 56 Next to the abutment lies the neck region, which allows the basal dental implant to bend. The endosseous height of the basal dental implant varies according to the bone height of the patient (Figure 3).…”

Section: Methodsmentioning

confidence: 99%

Design of patient specific basal dental implant using Finite Element method and Artificial Neural Network technique

Choudhury

Rana

Chakraborty

et al. 2022

Proc Inst Mech Eng H

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The bone conditions of mandibular bone vary from patient to patient, and as a result, a patient-specific dental implant needs to be designed. The basal dental implant is implanted in the cortical region of the bone since the top surface of the bone narrows down because of aging. Taguchi designs of experiments technique are used in which 25 optimum solid models of basal dental implants are modeled with variable geometrical parameters, viz. thread length, diameter, and pitch. In the solid models the implants are placed in the cortical part of the 3D models of cadaveric mandibles, that are prepared from CT data using image processing software. Patient-specific bone conditions are varied according to the strong, weak, and normal basal bone. A compressive force of 200 N is applied on the top surface of these implants and using finite element analysis software, the microstrain on the peri-implant bone ranges from 1000 to 4000 depending on the various bone conditions. According to the finite element data, it can be concluded that weak bone microstrain is comparatively high compared with normal and strong bone conditions. A surrogate artificial neural network model is prepared from the finite element analysis data. Surrogate model assisted genetic algorithm is used to find the optimum patient-specific basal dental implant for a better osseointegration-friendly mechanical environment.

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“…and Fusobacterium spp. [17]. Other species identified in failed implants are Actinobacillus actinomycetemcomitans, Prophyromonas gingivalis and Prevotella intermedia [18].…”

Section: Introductionmentioning

confidence: 99%

Antibiotic Use in Dental Implant Procedures: A Systematic Review and Meta-Analysis

2023

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Background and Objectives: This project was developed from anecdotal evidence of varied practices around antibiotic prescribing in dental procedures. The aim of the study was to ascertain if there is evidence to support whether antibiotic (AB) use can effectively reduce postoperative infections after dental implant placements (DIPs). Materials and Methods: Following PRISMA-P© methodology, a systematic review of randomised controlled clinical trials was designed and registered on the PROSPERO© database. Searches were performed using PubMed®, Science Direct® and the Cochrane© Database, plus the bibliographies of studies identified. The efficacy of prophylactic antibiotics, independent of the regimen used, versus a placebo, control or no therapy based on implant failure due to infection was the primary measured outcome. Secondary outcomes were other post-surgical complications due to infection and AB adverse events. Results: Twelve RCTs were identified and analysed. Antibiotic use was reported to be statistically significant in preventing infection (p < 001). The prevention of complications was not statistically significant (p = 0.96), and the NNT was >5 (14 and 2523 respectively), which indicates that the intervention was not sufficiently effective to justify its use. The occurrence of side effects was not statistically significant (p = 0.63). NNH was 528 indicating that possible harm caused by the use of ABs is very small and does not negate the AB use when indicated. Conclusion: The routine use of prophylactic antibiotics to prevent infection in dental implant placement was found to be not sufficiently effective to justify routine use. Clear clinical assessment pathways, such as those used for medical conditions, based on the patients’ age, dental risk factors, such as oral health and bone health, physical risk factors, such as chronic or long-term conditions and modifiable health determinants, such as smoking, are required to prevent the unnecessary use of antibiotics.

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Occlusion Complications

Cited by 12 publications

References 55 publications

A novel method for testing accuracy of bite registration using intraoral scanners

A novel method for testing accuracy of bite registration using intraoral scanners

Design of patient specific basal dental implant using Finite Element method and Artificial Neural Network technique

Antibiotic Use in Dental Implant Procedures: A Systematic Review and Meta-Analysis

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