使用分形维数分析种植体表面形貌。

Implant surface topographies analyzed using fractal dimension.

机构信息

Dental School, University of Chieti-Pescara, Via F. Sciucchi 63, Chieti, Italy.

出版信息

Implant Dent. 2011 Apr;20(2):131-8. doi: 10.1097/ID.0b013e31820fb171.

DOI:10.1097/ID.0b013e31820fb171

PMID:21448022

Abstract

PURPOSE

The aim of this study was to assess the fractal dimension (Df) of disks with 3 different surface topographies.

MATERIALS AND METHODS

Thirty disk-shaped samples (10 × 2 mm) with 3 different surface topographies (Dental Tech, Misinto, Italy) were analyzed by scanning electron microscopy: group A, machined surface; group B, titanium plasma-spray surface; group C, acid-etched and sandblasted surface (Blasted Wrinkled Surface).

RESULTS

The amplitude roughness parameter (Sa) of the machined surfaces was 0.6 μm, while the developed surface area ratio (Sdr) was 14%; for the titanium plasma-spray surfaces, the values were, respectively, 5.3 μm and 97%, and for the Blasted Wrinkled Surfaces, 1.5 μm and 63%. Images at 1.000, 20.000, and 50.000 magnifications were processed for quantitative analysis of Df using the box-counting method. At 1.000×, Df for group A, B, and C was 1.86, 1.80, and 1.81, respectively; at 20.000×, Df for group A, B, and C was 1.85, 1.71, 1.58, respectively; and at 50.000×, Df was 1.83, 1.61, and 1.51 for A, B, and C groups. Statistically significant differences were found for Df values.

CONCLUSIONS

Df provides not only an index of roughness size values but also a measure of roughness spatial organization; therefore, it could be a promising method to differentiate between rough surfaces capable of supporting osseointegration.

摘要

目的

本研究旨在评估 3 种不同表面形貌的牙种植体的分形维数（Df）。

材料和方法

通过扫描电子显微镜分析了 30 个具有 3 种不同表面形貌（意大利 Dental Tech，Misinto）的盘状样本（10×2mm）：A 组为机械加工表面；B 组为钛等离子喷涂表面；C 组为酸蚀喷砂表面（喷砂皱纹表面）。

结果

机械加工表面的振幅粗糙度参数（Sa）为 0.6μm，而开发的表面积比（Sdr）为 14%；对于钛等离子喷涂表面，相应的值分别为 5.3μm 和 97%，对于喷砂皱纹表面，相应的值为 1.5μm 和 63%。在 1000×、20000×和 50000×放大倍数下，使用方盒计数法对 Df 进行定量分析。在 1000×时，A、B 和 C 组的 Df 值分别为 1.86、1.80 和 1.81；在 20000×时，A、B 和 C 组的 Df 值分别为 1.85、1.71 和 1.58；在 50000×时，A、B 和 C 组的 Df 值分别为 1.83、1.61 和 1.51。Df 值存在显著差异。