Objectives: To longitudinally follow up a cohort of patients with autotransplanted teeth, assessing how the timing of starting orthodontic treatment impacts root length.
Materials And Methods: Patients under 18 with at least one open-apex autotransplanted premolar (AP) replaced to a central incisor position were included. Root/crown ratio (RCR) was calculated on periapical radiographs taken at intervals of 3-6 months after transplantation.
Traumatic dental injuries (TDIs) are a frequent challenge in pediatric dentistry, requiring a coordinated interdisciplinary approach for successful management. These injuries can affect various dental tissues and pose significant diagnostic and therapeutic challenges, particularly in young patients with developing dentition. This review aims to explore the complexities of managing TDIs in young permanent dentition, focusing on the role of orthodontics, endodontics, and other specialties in providing comprehensive care.
View Article and Find Full Text PDFObjective: This article reviews the applications of Finite Element Models (FEMs) in personalized dentistry, focusing on treatment planning, material selection, and CAD-CAM processes. It also discusses the challenges and future directions of using finite element analysis (FEA) in dental care.
Data: This study synthesizes current literature and case studies on FEMs in personalized dentistry, analyzing research articles, clinical reports, and technical papers on the application of FEA in dental biomechanics.
SDF-1/CXCL12 is a unique chemotactic factor with multiple functions on various types of precursor cells, all carrying the cognate receptor CXCR4. Whereas individual biological functions of SDF-1/CXCL12 have been well documented, practical applications in medicine are insufficiently studied. This is explained by the complex multifunctional biology of SDF-1 with systemic and local effects, critical dependence of SDF-1 activity on aminoterminal proteolytic processing and limited knowledge of applicable modulators of its activity.
View Article and Find Full Text PDFIntroduction: As personalized medicine advances, there is an escalating need for sophisticated tools to understand complex biomechanical phenomena in clinical research. Recognizing a significant gap, this study pioneers the development of patient-specific in silico models for tooth autotransplantation (TAT), setting a new standard for predictive accuracy and reliability in evaluating TAT outcomes.
Methods: Development of the models relied on 6 consecutive cases of young patients (mean age 11.