3D Quantification Assessment of Mandibular Bone Resorption Using STL Registration-Based Superimposition Following Removable Complete Denture Occlusal Equilibration
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 20
- 试验地点
- 1
- 主要终点
- 3D Quantification Assessment of Mandibular Bone Resorption
研究概览
简要总结
STL registration-based superimposition is an advanced technique for assessing mandibular bone resorption in removable complete denture (RCD) patients. This 3D method involves aligning and comparing digital models of the mandible before and after RCD use, offering high accuracy and comprehensive analysis. The process includes 3D scanning, STL conversion, registration, superimposition, and quantification. Occlusal equilibration of RCDs plays a crucial role in distributing masticatory forces and influencing bone resorption patterns. Studies using this technique have revealed non-uniform resorption, with variations in different regions of the mandible. While offering numerous advantages over traditional methods, challenges include potential registration errors and the need for specialized equipment and expertise. Future developments may incorporate machine learning, biomechanical modeling, and long-term studies to enhance understanding and clinical application of this technology in prosthodontics and oral surgery.
详细描述
STL registration-based superimposition is an innovative technique for evaluating mandibular bone resorption in patients using removable complete dentures (RCDs). This 3D method aligns and compares digital mandible models from different time points, providing precise volumetric and surface change measurements. The process involves 3D scanning, STL file conversion, model registration, superimposition, and quantification.
Occlusal equilibration of RCDs is crucial for distributing masticatory forces evenly, influencing bone resorption patterns. Research using this technique has shown that mandibular bone resorption is non-uniform, with variations across different mandibular regions.
While offering superior accuracy and comprehensive analysis compared to traditional methods, this approach faces challenges such as potential registration errors and the need for specialized equipment and expertise. Future developments may incorporate machine learning, biomechanical modeling, and longitudinal studies to enhance understanding and clinical application in prosthodontics and oral surgery.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 45 Years 至 75 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Completely edentulous patients ranging from age 45 to 75 years
- •Angle's Class I skeletal relationship
- •Normal facial symmetry
- •Cooperative patients
- •Adequate inter-arch space not less than 12mm
排除标准
- •Temporomandibular disorders
- •Uncontrolled diabetes
- •Bleeding disorders or anticoagulant therapy
- •Flabby tissues or sharp mandibular residual ridge.
- •Heavy smokers.
- •Patient's with neuromuscular disorders
- •Patients on chemotherapy or radiotherapy
- •Severe psychiatric disorders
- •Angle's class II and III skeletal relationship
结局指标
主要结局
3D Quantification Assessment of Mandibular Bone Resorption
时间窗: Baseline, thee months, six months and twelve months
3D quantification assessment of mandibular bone resorption uses advanced imaging techniques like Cone Beam Computed Tomography (CBCT) and digital 3D software to measure and analyze bone loss in the lower jaw. This process is essential for accurate diagnosis, treatment planning (e.g., implants), and monitoring bone changes over time. It provides precise measurements, visual representations, and comprehensive analysis of bone density and volume, aiding in better clinical outcomes. Despite its advantages, it can be costly and involves radiation exposure, making it less accessible in some practices.
次要结局
- Patient Satisfaction(Baseline, thee months, six months and twelve months)
研究者
Shady El Naggar
Associate Professor
Badr University