Nonlinear Finite Element Analysis of Bone-Implant Contact in Three Short Dental Implant Models with Varying Osseointegration Percentages

Опубликована: Авг. 29, 2024

Background/Objectives: Dental implants have become a cornerstone of restorative dentistry, providing long-lasting method for tooth replacement. The level osseointegration has big impact on the biomechanical stability at bone-implant contact (BIC), which determines how long these will work. However, exact consequences changing levels different implant designs, especially in bones with variable densities, are not well known. Three short dental were tested this study: BioMet 3iT3, Straumann® Standard Plus Short Regular Neck (SPS-RN), and Short-Wide (SPS-WN). 3D finite element analysis (FEA) was used to look they worked biomechanically. This paper tests four stages osseointegration: 25%, 50%, 75%, 100% both high-density (Bone Type III) low-density IV) cancellous bone. It also created examined realistic CAD models under static occlusal loading conditions assess stress distribution major strains contact.; Results: study discovered that as osteointegration increases, von Mises principal go down significantly all types. SPS-WN had lowest strain values, bone low density. These reductions demonstrate increased mechanical inter-face becomes more capable dispersing stresses, minimizing potential localized deformation resorption.; Conclusions: results highlight importance achieving optimum reduce increase lifespan implants. type performed better than others, when ideal. makes it great choice clinical applications need long-term success.Keywords: x

Язык: Английский

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Supervised Machine Learning to Predict Drilling Temperature of Bone

Applied Sciences, Год журнала: 2024, Номер 14(17), С. 8001 - 8001

Опубликована: Сен. 7, 2024

Surgeons face a significant challenge due to the heat generated during drilling, as excessive temperatures at bone–tool interface can lead irreversible damage regenerative soft tissue and result in thermal osteonecrosis. While previous studies have explored use of machine learning predict temperature rise bone this vitro study introduces comprehensive approach by combining Response Surface Methodology (RSM) with advanced techniques. The main objective lies evaluation comparison support vector (SVM) random forest (RF) models specifically for optimization drilling parameters prevent necrosis. A total 27 experiments were conducted using multi-level factorial method, analysis performed via Minitab software version 19.1. Performance metrics such mean squared error (MSE), absolute percentage (MAPE), coefficient determination (R2) used assess model accuracy. RF emerged most effective, R2 values 94.2% testing 97.3% training data, significantly outperforming other predicting fluctuations. This demonstrates superior predictive capabilities offers robust framework surgical procedures mitigate risk damage.

Язык: Английский

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Biomechanical Basis for Bone Healing and Osseointegration of Implants in Sinus Grafts

Clinical Implant Dentistry and Related Research, Год журнала: 2024, Номер unknown

Опубликована: Дек. 5, 2024

ABSTRACT A thorough comprehension of the mechanisms controlling new bone formation and implant osseointegration after maxillary sinus floor elevation is crucial for aligning our treatment choices with biological principles enhancing clinical outcomes. The goal regeneration in lift procedures to provide a sufficient amount newly‐formed tissue support osseointegration. However, it still unclear whether there minimum quantity vital within required effective support, though generally assumed that essential this process. source integration remain debated. Most studies suggest paramount role bony walls, centripetal pattern formation, while conflicting reports exist regarding osteogenic Schneiderian membrane. influence mechanical input on peri‐implant mineralization, maturation significant, remodeling regulated by strains generated during loading. Defining optimal loading implants, particularly procedures, challenging, as early may damage interfacial tissue, interfering osteogenesis. Differences dynamics between native augmented arise from factors, but also patient‐specific factors which should be evaluated planning. Factors consider include anatomy, patient site‐specific regenerative potential, selection graft material matches requirements. Tailored approaches integrating considerations refined strategies will enhance predictability longevity treatment.

Язык: Английский

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Challenges and Innovations in Alveolar Bone Regeneration: A Narrative Review on Materials, Techniques, Clinical Outcomes, and Future Directions

Medicina, Год журнала: 2024, Номер 61(1), С. 20 - 20

Опубликована: Дек. 27, 2024

This review explores the recent advancements and ongoing challenges in regenerating alveolar bone, which is essential for dental implants periodontal health. It examines traditional techniques like guided bone regeneration grafting, alongside newer methods such as stem cell therapy, gene 3D bioprinting. Each approach considered its strengths supporting growth integration, especially cases where complex defects make difficult. also looks at different biomaterials, from bioactive scaffolds to nanomaterials, assessing how well they encourage healing. Personalized treatments, customized 3D-printed scaffolds, show promise enhancing formation tissue compatibility. Additionally, signaling molecules, morphogenetic proteins, play a crucial role guiding process of remodeling. Despite these advances, remain-particularly with severe loss refining biomaterials more reliable, long-term outcomes. proposes combining advanced materials, regenerative technologies, personalized approaches achieve effective consistent outcomes oral maxillofacial surgery.

Язык: Английский

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Modeling the Stress State of the Mandibular Segment with a Dental Implant Under Shock Wave Therapy

Russian Physics Journal, Год журнала: 2024, Номер unknown

Опубликована: Сен. 20, 2024

Язык: Английский

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