Publications by authors named "Shuobo Fang"
Introduction: Soft-tissue defect is commonly seen in immediate maxillary posterior implantation because of tooth extraction wound and tension from bone graft. Bone graft materials exposure has a significant detrimental influence on bone augmentation. However, previous studies lack sufficient evidence to guide wound closure after immediate posterior implantation.
View Article and Find Full Text PDFObjective: To compare the accuracy of digital tooth preparations recorded using the plaster model scanning technique and two silicone impression scanning techniques.
Materials And Methods: A maxillary resin model with incisor and first molar abutment preparations was used as the experimental model and scanned to serve as the gold standard. Three groups of digital models were generated, with 10 models in each group.
Article Synopsis
- The study aimed to compare the differences in the mucosal structure of the distal extension areas in lower jaw dentition defects using two techniques: intra-oral digital scanning and selective pressure impressions.
- A total of 17 patients with specific types of dentition defects were analyzed, and data were collected from both methods to create 3D models for comparison.
- Results indicated a mean mucosal difference of 0.37 mm between the two techniques, with a positive correlation between the distance from the terminal tooth and the mucosal morphological differences.
Guided bone regeneration (GBR) is a well-established technique for preserving and enhancing alveolar ridge structures. Success in GBR relies on fulfilling the Primary wound closure, Angiogenesis, Space maintenance, and Stability (PASS) principles. Conventional methods, involving titanium meshes and sutures, have drawbacks, including the need for secondary removal and customization challenges.
View Article and Find Full Text PDFArticle Synopsis
- This study aimed to compare intra-oral digital scanning and functional impression techniques for creating models of distal-extension dentition defects.
- Twenty patients with specific types of dentition defects (Kennedy I and II) were treated using these two methods, and the resulting 3D data were analyzed for accuracy.
- Results showed no significant differences between the two techniques in relation to the dentition defect types, but there was a trend indicating that as the distance from the remaining teeth increased, the variability in measurements also increased, suggesting the need for further research.
Teeth detection and tooth segmentation are essential for processing Cone Beam Computed Tomography (CBCT) images. The accuracy decides the credibility of the subsequent applications, such as diagnosis, treatment plans in clinical practice or other research that is dependent on automatic dental identification. The main problems are complex noises and metal artefacts which would affect the accuracy of teeth detection and segmentation with traditional algorithms.
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