Correlation between the thickness of the crestal and buccolingual cortical bone at varying depths and implant stability quotients

Chatvaratthana, Kanthanat; Thaworanunta, Sita; Seriwatanachai, Dutmanee; Wongsirichat, Natthamet

doi:10.1371/journal.pone.0190293

Cited by 21 publications

(26 citation statements)

References 34 publications

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“…Therefore, the only factors that showed a positive correlation between the IT and the ISQ value were the bone density and thickness of the cortical bone. This result is in accordance with other publications [12,40]. Moreover, Lages et al reported that the clinician should choose only one of the methods to determine the primary stability of implants, as these are independent and incomparable methods [12].…”

Section: Discussionsupporting

confidence: 90%

Biomechanical Effects of a New Macrogeometry Design of Dental Implants: An In Vitro Experimental Analysis

Gehrke

Pérez-Díaz

Mazón

et al. 2019

JFB

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The purpose of the present study was to measure and compare the insertion torque, removal torque, and the implant stability quotient by resonance frequency analysis in different polyurethane block densities of two implant macrogeometries. Four different polyurethane synthetic bone blocks were used with three cortical thickness: Bone 1 with a cortical thickness of 1 mm, Bone 2 with a cortical thickness of 2 mm, Bone 3 with a cortical thickness of 3 mm, and Bone 4, which was totally cortical. Four groups were created in accordance with the implant macrogeometry (n = 10 per group) and surface treatment: G1-regular implant design without surface treatment; G2-regular implant design with surface treatment; G3-new implant design without surface treatment; G4-new implant design with surface treatment. All implants used were 4 mm in diameter and 10 mm in length and manufactured in commercially pure titanium (grade IV) by Implacil De Bortoli (São Paulo, Brazil). The implants were installed using a computed torque machine, and following installation of the implant, the stability quotient (implant stability quotient, ISQ) values were measured in two directions using Osstell devices. The data were analyzed by considering the 5% level of significance. All implant groups showed similar mean ISQ values without statistical differences (p > 0.05), for the same synthetic bone block: for Bone 1, the value was 57.7 ± 3.0; for Bone 2, it was 58.6 ± 2.2; for Bone 3, it was 60.6 ± 2.3; and for Bone 4, it was 68.5 ± 2.8. However, the insertion torque showed similar higher values for the regular macrogeometry (G1 and G2 groups) in comparison with the new implant macrogeometry (G3 and G4 groups). The analysis of the results found that primary stability does not simply depend on the insertion torque but also on the bone quality. In comparison with the regular implant macrogeometry, the new implant macrogeometry decreased the insertion torque without affecting the implant stability quotient values.

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Section: Discussionsupporting

confidence: 90%

Biomechanical Effects of a New Macrogeometry Design of Dental Implants: An In Vitro Experimental Analysis

Gehrke

Pérez-Díaz

Mazón

et al. 2019

JFB

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“…Bone width near the alveolar bone crest is generally assessed to select proper implant size and insertion site based on the available bone so that the bone surrounding the inserted implant could be well preserved, resulting in good primary implant stability [23]. While cortical bone thickness also correlates with the implant primary stability [24,25], we included the parameters such as bone condition since it plays a role in successful dental implant treatment.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2020

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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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“…The table further describes Misch’s classification for bone types in edentulous ridges according to the different areas of the maxilla and mandible, as well as Chatvaratthana et al’s. [ 6 ] quantitative bone classification for comparison.…”

Section: Resultsmentioning

confidence: 99%

“…These qualitative classifications can be further extended, and to some extent quantified, by considering the ratio between cortical to cancellous bone volume, as assessed in a routine CT scan. In that spirit, Chatvaratthana et al [ 6 ] reported that a ratio in excess of 0.75 (75–100% cortical bone) corresponds to D1 bone type, 0.5–0.75 (50–75% cortical bone) to D2 bone type, 0.25–0.5 (25–50% cortical bone) to D3 bone type and D4 bone type contains less than 0.25 (0–25% cortical bone). This classification does not take into consideration the total bone volume and does not differentiate between the different areas of the maxilla and the mandible.…”

Section: Introductionmentioning

confidence: 99%

Quantitative assessment of the jawbone quality classification: A meta-analysis study

Shemtov‐Yona

2021

PLoS ONE

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Aim Bone quality is evaluated using bone density for qualitative classification, a characteristic that may be delicate to evaluate. Contemporary implantology that relies on modern measurement techniques, needs a more quantitative estimate of the bone quality. Materials and methods PubMed and EMBASE databases were searched with no time restriction. Clinical and radiographic studies reporting on alveolar ridge dimensions and its parameters in different areas of the dentate and edentulous jaws were included. A meta-analysis was performed using random effect models to report a combined mean for alveolar ridge and its parameters. Meta regression statistical tests were performed in order to identify differences in those outcome parameters. Results 30 studies were included. The majority of the selected studies (total of 27) used live human subjects and CBCT to analyze alveolar ridge dimensions and its parameters. Using the combined mean obtained from the meta-analysis, a typical portrait of the alveolar ridge was constructed, and a geometrically based quantitative bone classification proposed. The quantitative classification was found to match the existing qualitative classification. Conclusion A geometry-based analysis was constructed that yields valuable insights on the bone type based on its components and on the dynamics of the dentate / edentulous states.

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Correlation between the thickness of the crestal and buccolingual cortical bone at varying depths and implant stability quotients

Cited by 21 publications

References 34 publications

Biomechanical Effects of a New Macrogeometry Design of Dental Implants: An In Vitro Experimental Analysis

Biomechanical Effects of a New Macrogeometry Design of Dental Implants: An In Vitro Experimental Analysis

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

Quantitative assessment of the jawbone quality classification: A meta-analysis study

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