Assesment of bone healing after surgical management of odontogenic cysts utilizing fractal analysis-a retrospective cross-sectional study

利用分形分析评估牙源性囊肿手术治疗后骨愈合情况——一项回顾性横断面研究

阅读:1

Abstract

OBJECTIVES: Odontogenic cysts, originating from inflammatory or developmental processes of the tooth germ epithelium, represent the most common intraosseous pathology in the head and neck region. This retrospective study aimed to evaluate bone healing following the surgical removal of odontogenic cysts using fractal analysis. MATERIALS AND METHODS: Bone changes in 17 patients who underwent cyst enucleation were assessed using fractal dimension and lacunarity measurements on digital panoramic radiographs obtained before and six months after surgery. Statistical analyses included the Shapiro-Wilk test, paired t-test, Wilcoxon signed-rank test, repeated measures ANOVA, and the Friedman test. RESULTS: At six months postoperatively, bone structure differences had largely normalized. In the cyst center, there were no statistically significant differences in fractal dimension or lacunarity (P > 0.05). At the cyst edge, fractal dimension remained statistically unchanged (P = 0.446), while lacunarity significantly decreased from 0.06 to 0.04 (P = 0.04). In unaffected control regions, no significant changes were observed (P > 0.05). Preoperative fractal dimension values significantly differed between regions (P < 0.001), but these differences were no longer significant postoperatively (P = 0.077). Lacunarity values showed no significant regional differences at either time point (P > 0.05). CONCLUSIONS: Fractal analysis offers valuable insights into bone regeneration and may surpass traditional radiographic evaluations. Despite limitations such as small sample size and potential subjectivity in region of interest (ROI) selection, the results support the utility of fractal dimension and lacunarity in tracking bone healing after cyst surgery.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。