Article

Extracorporeal shock wave therapy: a potential adjuvant treatment for peri-implantitis.

Department of Prosthodontics, State Key Laboratory of Oral Diseases, West China Stomatology Hospital, Sichuan University, Chengdu 610041, China.
Medical Hypotheses (Impact Factor: 1.18). 09/2009; 74(1):120-2. DOI: 10.1016/j.mehy.2009.07.025
Source: PubMed

ABSTRACT Dental implants have been widely used clinically in recent decades, but peri-implantitis is still a common complication of dental implants with high incidence, which is greatly harmful to the longevity of the dental implant. The current treatment of peri-implantitis is limited and it is hard to achieve optimal re-osseointegration. A new therapy with multi-bioactivities is hoped to solve this problem. There are abundant evidences showing that extracorporeal shock wave therapy has favorable effects on treating delayed union and nonunion of fracture, promoting fracture healing, and inducing bone regeneration. Studies indicated that extracorporeal shock waves may activate osteoblasts and their precursors, and has a bactericidal effect on several oral pathogens. The hypothesis we proposed herein is that extracorporeal shock wave therapy may be an adjuvant treatment for peri-implantitis by controlling infection, inducing alveolar bone regeneration and promoting re-osseointegration.

0 Bookmarks
 · 
59 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: A physical model is presented to simulate the average step length distribution during nanoparticle tracking analysis experiments as a function of the particle size distribution and the distribution of the number of steps within the tracks. Considering only tracks of at least five steps, numerical simulation could be replaced by a normal distribution approximation. Based on this model, simulation of a step length distribution allows obtaining a much more reliable estimation of the particle size distribution, thereby reducing the artificial broadening of the distribution, as is typically observed by direct conversion of step length to particle size data. As this fitting procedure also allowed including data from particles that were followed for a relatively low number of steps, the measurement time could be reduced for particles that are known to be monodisperse. Whereas the inversion is less sensitive towards the particle size distribution width, still similar values were obtained for both the average diameter and standard deviation of a polystyrene latex sample irrespective of the track length, provided that the latter included at least five steps.
    Journal of Colloid and Interface Science 09/2010; 352(2):593-600. · 3.17 Impact Factor