口腔医学研究 ›› 2022, Vol. 38 ›› Issue (4): 335-339.DOI: 10.13701/j.cnki.kqyxyj.2022.04.009

• 口腔种植学研究 • 上一篇    下一篇

口腔种植骨愈合期内骨小梁分形维度化的初步研究

文才1*, 周黄君1, 叶思娴1, 冯浩2*   

  1. 1.西南医科大学附属口腔医院种植科,口颌面修复重建和再生实验室 四川 泸州 646000;
    2.西南医科大学附属口腔医院颌面外科,口颌面修复重建和再生实验室 四川 泸州 646000
  • 收稿日期:2021-09-09 出版日期:2022-04-28 发布日期:2022-04-22
  • 通讯作者: *文才,E-mail:wencai@swmu.edu.cn; 冯浩,E-mail:fenghao@swmu.edu.cn
  • 作者简介:文才(1985~ )男,四川富顺人,博士,讲师,研究方向:口腔种植。
  • 基金资助:
    西南医科大学基金(编号:2020ZRZD016)四川省教育厅课题(编号:18ZA0526)川大-泸州战略合作项目(编号:2018CDLZ-14)四川省医学会课题(编号:S18079)西南医科大学大学生创新创业项目(编号:2021383)

Preliminary Study on Changes of Fractal Dimension of Bone Trabeculae During Implant Bone Healing Period

WEN Cai1*, ZHOU Huangjun1, YE Sixian1, FENG Hao2*   

  1. 1. Department of Oral Implantology, Luzhou Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, The Affiliated Stomatological Hospital of Southwest Medical University, Luzhou 646000, China;
    2. Department of Oral and Maxillofacial Surgery, Luzhou Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, The Affiliated Stomatological Hospital of Southwest Medical University, Luzhou 646000, China
  • Received:2021-09-09 Online:2022-04-28 Published:2022-04-22

摘要: 目的: 评价分形分析在评估牙种植体骨愈合期内骨小梁生长情况,并预测骨结合上的有效性。方法: 纳入西南医科大学附属口腔医院的种植治疗患者,对种植手术后(T0)、种植手术3个月后(T1)的根尖片进行分形分析研究:在根尖片上裁剪种植体近远中两个区域的影像作为感兴趣的区域(ROI),然后通过ImageJ软件执行图像模糊、相减、标准化、二维化、骨骼化等操作,获得骨小梁的二维数据,通过计盒法获得ROI内的分形指数。使用SPSS软件统计分析在T0和T1时间点上,种植体周围显示出的分形维度(FD)指数是否有统计学差异。结果: 共有14名患者的16颗种植体纳入了本研究, 纳入人员的性别和年龄在统计学上没有显著差异。从T0到T1时间点,种植体近中、远中和整体的分形维度指数均有升高,同时差异有统计学意义。在骨愈合过程中,种植体周围区域的FD值升高不受种植体品牌、患者性别等因素的影响。结论: 分形分析可以作为一种无创的、经济的,描绘骨小梁生长情况,预测牙种植体的骨整合情况的分析工具。现有证据表明种植骨愈合期内,种植体周围骨小梁结构的分形维数指数增加,分形分析对种植体骨结合评估敏感性和特异性的研究尚需进一步分析。

关键词: 分形维度, 骨结合, 骨小梁, 种植

Abstract: Objective: To evaluate the effectiveness of fractal analysis in determining the growth of bone trabeculae during dental implant bone healing period and predicting osseointegration. Methods: The periapical films of patients after implant surgery (T0) and three months after implant surgery (T1) in the Affiliated Stomatological Hospital of Southwest Medical University were included for fractal analysis. The images from mesial and distal regions of the implant were cut on the periapical films as the region of interest (ROI), and then the images were blurred, subtracted, standardized, binarized, and skeletonized. The fractal index in ROI was obtained by box counting method. Results: A total of 16 implants of 14 patients were included in this study. There was no significant difference in gender and age composition ratio. From T0 to T1, the fractal dimension indexes of mesial, distal, and whole ROIs increased, and the difference was statistically significant. In the process of bone healing, the increase of FD in the area around the implant was not affected by implant systems, genders, and other factors. Fractal analysis could be used as a tool to evaluate the growth of bone trabeculae. Conclusion: Fractal dimension analysis is a promising non-invasive and economical method to describe the growth of bone trabeculae and predict the osseointegration of dental implants. The existing evidence shows that the increase of trabecular bone during the healing period of implant bone is related to the increase of fractal dimension index. The sensitivity and specificity of fractal analysis need to be further analyzed.

Key words: fractal dimension, osseointegration, bone trabeculae, implant