Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
Faculty of Dentistry, University of Toronto, Toronto, Ontario, Canada.
J Biomed Mater Res B Appl Biomater. 2019 Aug;107(6):2165-2177. doi: 10.1002/jbm.b.34312. Epub 2019 Jan 24.
Human bone resorption surfaces can provide a template for endosseous implant surface design. We characterized the topography of such sites using four synergistic parameters (fractal dimension, lacunarity, porosity, and surface roughness) and compared the generated values with those obtained from two groups of candidate titanium implant surfaces. For the first group (n = 5/group): grit-blasted acid etched (BAE), BAE with either discrete calcium phosphate crystal deposition or nanotube formation, machined titanium with nanotubes, or a nanofiber surface; each measured synergistic parameter was statistically compared with that of the resorbed bone surface and scored for inclusion in a "best fit" analysis. The analysis informed changes that could be made to a candidate implant surface to render it a closer "best fit" to that of the resorbed bone surface. In a second group of either titanium or titanium alloy implants their micro-topography, created by dual acid etching, was the same for each material substrate; but their nanotopographic complexity was changed by varying the degree of calcium phosphate crystalline deposits. These implants were also used in vivo where bone anchorage was tested using a tensile disruption test; and the "best fit" of synergistic parameters coincided with the best biological outcome for both titanium and titanium alloy implants. In conclusion, the four chosen synergistic parameters can be used to guide the sub-micron surface design of candidate implants, and our "best fit" approach is capable of identifying the surfaces with the best biological outcomes. © 2019 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 107B: 2165-2177, 2019.
人类骨吸收表面可为骨内种植体表面设计提供模板。我们使用四个协同参数（分形维数、空隙度、孔隙率和表面粗糙度）来描述这些部位的形貌，并将生成的值与两组候选钛种植体表面的值进行比较。对于第一组（每组 n = 5）：喷砂酸蚀（BAE）、BAE 加上离散的磷酸钙晶体沉积或纳米管形成、带有纳米管的机械加工钛或纳米纤维表面；每个协同参数都与骨吸收表面进行了统计学比较，并对其进行了评分，以纳入“最佳拟合”分析。该分析为候选种植体表面的修改提供了信息，使其更接近骨吸收表面的“最佳拟合”。在第二组钛或钛合金植入物中，其通过双重酸蚀产生的微观形貌对于每种材料基底都是相同的；但通过改变磷酸钙晶体沉积的程度，改变了其纳米形貌的复杂性。这些植入物也在体内进行了测试，使用拉伸破坏试验测试了骨锚固情况；协同参数的“最佳拟合”与钛和钛合金植入物的最佳生物学结果相吻合。总之，这四个选择的协同参数可用于指导候选植入物的亚微米表面设计，并且我们的“最佳拟合”方法能够识别具有最佳生物学结果的表面。© 2019 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 107B: 2165-2177, 2019.
