scholarly journals Impact of Implant Design and Bone Properties on the Primary Stability of Orthodontic Mini-Implants

2021 ◽  
Vol 11 (3) ◽  
pp. 1183
Author(s):  
Lejla Redžepagić-Vražalica ◽  
Elmedin Mešić ◽  
Nedim Pervan ◽  
Vahidin Hadžiabdić ◽  
Muamer Delić ◽  
...  
Keyword(s):  
Cortical Bone ◽  
Primary Stability ◽  
Implant Design ◽  
Bone Thickness ◽  
Cortical Bone Thickness ◽  
Mini Implants ◽  
Pull Out ◽  
Bone Properties ◽  
Pulling Force ◽  
The Impact

This study investigated the correlation between bone characteristics, the design of orthodontic mini-implants, the pull-out force, and primary stability. This experimental in vitro study has examined commercial orthodontic mini-implants of different sizes and designs, produced by two manufacturers: Tomas-pin SD (Dentaurum, Ispringen, Germany) and Perfect Anchor (Hubit, Seoul, Korea). The total number of 40 mini-implants were tested. There are two properties that are common to all tested implants—one is the material of which they are made (titanium alloy Ti-6Al-4V), and the other is the method of their insertion. The main difference between the mini-implants, which is why they have been selected as the subject of research in the first place, is reflected in their geometry or design. Regardless of the type of implant, the average pull-out forces were found to be higher for a cortical bone thickness (CBTC) of 0.62–0.67 mm on average, compared to the CBTC < 0.62 mm, where the measured force averages were found to be lower. The analysis of variance tested the impact of the mini-implant geometry on the pull-out force and proved that there is a statistically significant impact (p < 0.015) of all three analyzed geometric factors on the pull-out force of the implant. The design of the mini-implant affects its primary stability. The design of the mini-implant affects the pulling force. The bone quality at the implant insertion point is important for primary stability; thus, the increase in the cortical bone thickness increases the value of the pulling force significantly.

scholarly journals Insertion torque, pull-out strength and cortical bone thickness in contact with orthodontic mini-implants at different insertion angles

2013 ◽  
Vol 35 (6) ◽  
pp. 766-771 ◽  
Author(s):  
T. M. Meira ◽  
O. M. Tanaka ◽  
M. M. Ronsani ◽  
I. T. Maruo ◽  
O. Guariza-Filho ◽  
...  
Keyword(s):  
Cortical Bone ◽  
Insertion Torque ◽  
Bone Thickness ◽  
Cortical Bone Thickness ◽  
Mini Implants ◽  
Pull Out ◽  
Pull Out Strength

scholarly journals Effects of cortical bone thickness and trabecular bone density on primary stability of orthodontic mini-implants

2019 ◽  
Vol 14 (4) ◽  
pp. 383-388
Author(s):  
Chin-Yun Pan ◽  
Pao-Hsin Liu ◽  
Yu-Chuan Tseng ◽  
Szu-Ting Chou ◽  
Chao-Yi Wu ◽  
...  
Keyword(s):  
Bone Density ◽  
Trabecular Bone ◽  
Cortical Bone ◽  
Primary Stability ◽  
Trabecular Bone Density ◽  
Bone Thickness ◽  
Cortical Bone Thickness ◽  
Mini Implants

scholarly journals Experimental & FEM Analysis of Orthodontic Mini-Implant Design on Primary Stability

2021 ◽  
Vol 11 (12) ◽  
pp. 5461
Author(s):  
Elmedin Mešić ◽  
Enis Muratović ◽  
Lejla Redžepagić-Vražalica ◽  
Nedim Pervan ◽  
Adis J. Muminović ◽  
...  
Keyword(s):  
Finite Element ◽  
Three Dimensional ◽  
Primary Stability ◽  
Fem Analysis ◽  
Implant Design ◽  
Special Focus ◽  
Engineering System ◽  
Mini Implants ◽  
Pull Out ◽  
Computer Aided

The main objective of this research is to establish a connection between orthodontic mini-implant design, pull-out force and primary stability by comparing two commercial mini-implants or temporary anchorage devices, Tomas®-pin and Perfect Anchor. Mini-implant geometric analysis and quantification of bone characteristics are performed, whereupon experimental in vitro pull-out test is conducted. With the use of the CATIA (Computer Aided Three-dimensional Interactive Application) CAD (Computer Aided Design)/CAM (Computer Aided Manufacturing)/CAE (Computer Aided Engineering) system, 3D (Three-dimensional) geometric models of mini-implants and bone segments are created. Afterwards, those same models are imported into Abaqus software, where finite element models are generated with a special focus on material properties, boundary conditions and interactions. FEM (Finite Element Method) analysis is used to simulate the pull-out test. Then, the results of the structural analysis are compared with the experimental results. The FEM analysis results contain information about maximum stresses on implant–bone system caused due to the pull-out force. It is determined that the core diameter of a screw thread and conicity are the main factors of the mini-implant design that have a direct impact on primary stability. Additionally, stresses generated on the Tomas®-pin model are lower than stresses on Perfect Anchor, even though Tomas®-pin endures greater pull-out forces, the implant system with implemented Tomas®-pin still represents a more stressed system due to the uniform distribution of stresses with bigger values.

scholarly journals Relationship Between the Thickness of Cortical Bone at Maxillary Mid-palatal Area and Facial Height Using CBCT

2015 ◽  
Vol 9 (1) ◽  
pp. 287-291 ◽  
Author(s):  
Masume Johari ◽  
Farzaneh Kaviani ◽  
Arman Saeedi
Keyword(s):  
Cortical Bone ◽  
Cross Sections ◽  
Cone Beam Ct ◽  
Treatment Modalities ◽  
Cortical Plate ◽  
Bone Thickness ◽  
Cortical Bone Thickness ◽  
Mini Implants ◽  
Facial Height ◽  
Incisive Foramen

Introduction : Orthodontic mini-implants have been incorporated into orthodontic treatment modalities. Adequate bone at mini-implant placement site can influence the success or failure of anchorage. The present study was to determine the thickness of cortical bone in the maxillary mid-palatal area at predetermined points for the placement of orthodontic mini-implants using Cone Beam CT technique in order to evaluate the relationship of these values with the facial height. Materials and Methods : A total of 161 patients, consisting of 63 males (39.13%) and 98 females (60.87%), were evaluated in the present study; 38% of the subjects had normal facial height, 29% had short face and 33% had long face. In order to determine which patient belongs to which facial height category, i.e. normal, long or short, two angular and linear evaluations were used: the angle between S-N and Go-Me lines and the S-Go/N-Me ratio. Twenty points were evaluated in all the samples. First the incisive foramen was located. The paracoronal cross-sections were prepared at distances of 4, 8, 16 and 24 mm from the distal wall of the incisive foramen and on each cross-section the mid-sagittal and para-sagittal areas were determined bilaterally at 3- and 6-mm distances (a total of 5 points). The thicknesses of the cortical plate of bone were determined at the predetermined points. Results : There was a significant relationship between the mean cortical bone thickness and facial height (p<0.01), with significantly less thickness in long faces compared to short faces. However, the thickness of cortical bone in normal faces was similar to that in long and short faces. Separate evaluation of the points showed that at point a16 subjects with short faces had thicker cortical bone compared to subjects with long and normal faces. At point b8 in long faces, the thickness of the cortical bone was significantly less than that in short and normal faces. At point d8, the thickness of the cortical bone in subjects with short faces was significantly higher than that in subjects with long faces. Conclusion : At the point a16 the cortical bone thickness in short faces was significantly higher than normal and long faces. The lower thickness of the cortical bone in the palatal area at points b8 and d8 in subjects with long faces might indicate a lower anchorage value of these points in these subjects.

scholarly journals Morphological Evaluation of Bone by CT to Determine Primary Stability—Clinical Study

Materials ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2605
Author(s):  
Masaaki Takechi ◽  
Yasuki Ishioka ◽  
Yoshiaki Ninomiya ◽  
Shigehiro Ono ◽  
Misato Tada ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Cortical Bone ◽  
Multiple Regression ◽  
Cancellous Bone ◽  
Primary Stability ◽  
Implant Stability ◽  
Bone Thickness ◽  
Cortical Bone Thickness ◽  
Morphological Evaluation

Background: Primary stability is an important prognostic factor for dental implant therapy. In the present study, we evaluate the relationship between implant stability evaluation findings by the use of an implant stability quotient (ISQ), an index for primary stability, and a morphological evaluation of bone by preoperative computed tomography (CT). Subjects and methods: We analyzed 98 patients who underwent implant placement surgery in this retrospective study. For all 247 implants, the correlations of the ISQ value with cortical bone thickness, cortical bone CT value, cancellous bone CT value, insertion torque value, implant diameter, and implant length were examined. Results: 1. Factors affecting ISQ values in all cases: It was revealed that there were significant associations between the cortical bone thickness and cancellous bone CT values with ISQ by multiple regression analysis. 2. It was revealed that there was a significant correlation between cortical bone thickness and cancellous bone CT values with ISQ by multiple regression analysis in the upper jaw. 3. It was indicated that there was a significant association between cortical bone thickness and implant diameter with ISQ by multiple regression analysis in the lower jaw. Conclusion: We concluded that analysis of the correlation of the ISQ value with cortical bone thickness and values obtained in preoperative CT imaging were useful preoperative evaluations for obtaining implant stability.

scholarly journals Influence of bone condition on implant placement accuracy with computer-guided surgery

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Ramadhan Hardani Putra ◽  
Nobuhiro Yoda ◽  
Masahiro Iikubo ◽  
Yoshihiro Kataoka ◽  
Kensuke Yamauchi ◽  
...  
Keyword(s):  
Bone Density ◽  
Cortical Bone ◽  
Simulation Software ◽  
Bone Thickness ◽  
Cortical Bone Thickness ◽  
Guided Surgery ◽  
Implant Placement ◽  
Bone Condition ◽  
The Impact ◽  
Dental Cast

Abstract Background The impact of the jaw bone condition, such as bone quantity and quality in the implant placement site, affecting the accuracy of implant placement with computer-guided surgery (CGS) remains unclear. Therefore, this study aimed to evaluate the influence of bone condition, i.e., bone density, bone width, and cortical bone thickness at the crestal bone on the accuracy of implant placement with CGS. Methods A total of 47 tissue-level implants from 25 patients placed in the posterior mandibular area were studied. Implant placement position was planned on the simulation software, Simplant® Pro 16, by superimposing preoperative computed tomography images with stereolithography data of diagnostic wax-up on the dental cast. Implant placement surgery was performed using the surgical guide plate to reflect the planned implant position. The post-surgical dental cast was scanned to determine the position of the placed implant. Linear and vertical deviations between planned and placed implants were calculated. Deviations at both platform and apical of the implant were measured in the bucco-lingual and mesio-distal directions. Intra- and inter-observer variabilities were calculated to ensure measurement reliability. Multiple linear regression analysis was employed to investigate the effect of the bone condition, such as density, width, and cortical bone thickness at the implant site area, on the accuracy of implant placement (α = 0.05). Result Intra- and inter-observer variabilities of these measurements showed excellent agreement (intra class correlation coefficient ± 0.90). Bone condition significantly influenced the accuracy of implant placement using CGS (p < 0.05). Both bone density and width were found to be significant predictors. Conclusions Low bone density and/or narrow bucco-lingual width near the alveolar bone crest in the implant placement site might be a risk factor influencing the accuracy of implant placement with CGS.

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