Putri Annisa, Pramanik Farina, Azhari Azhari
Dentomaxillofacial Radiology Residency Program, Faculty of Dentistry, Universitas Padjadjaran, Bandung, Indonesia.
Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Universitas Padjadjaran, Bandung, Indonesia.
Eur J Dent. 2023 Jul;17(3):623-628. doi: 10.1055/s-0042-1757468. Epub 2023 Mar 28.
Osseointegration is a complex process that involves the interaction of dental implants, bone, and the immune system. Preclinical testing was carried out to develop a better understanding of the mechanism. Micro-computed tomography (micro-CT) imaging techniques and immunohistochemistry are excellent tools for this objective as both enable quantitative assessment of bone microarchitecture and intercellular interaction. An extensive literature search was conducted using the databases PubMed, Science Direct, Wiley Online, Proquest and Ebscohost from January 2011 to January 2021. Among the publications retrieved, the rat model was the most frequently used experimental protocol, with the tibia being the most frequently implanted site. The region of interest demonstrates a high degree of homogeneity as measured by trabecula but varies in size and shape. The most frequently mentioned micro-CT bone parameter and immunohistochemistry bone markers were bone volume per total volume (BV/TV) and runt-related transcription factors (RUNX). Animal models, micro-CT analysis methods, and immunohistochemistry biomarkers yielded a variety of results in the studies. Understanding bone architecture and the remodeling process will aid in the selection of a viable model for a specific research topic.
骨结合是一个复杂的过程,涉及牙种植体、骨和免疫系统之间的相互作用。进行临床前测试以更好地理解其机制。微计算机断层扫描(micro-CT)成像技术和免疫组织化学是实现这一目标的优秀工具,因为它们都能够对骨微结构和细胞间相互作用进行定量评估。使用PubMed、Science Direct、Wiley Online、Proquest和Ebscohost数据库,从2011年1月至2021年1月进行了广泛的文献检索。在所检索的出版物中,大鼠模型是最常用的实验方案,胫骨是最常植入的部位。通过小梁测量,感兴趣区域显示出高度的同质性,但大小和形状各不相同。最常提及的micro-CT骨参数和免疫组织化学骨标志物是骨体积与总体积之比(BV/TV)和 runt相关转录因子(RUNX)。动物模型、micro-CT分析方法和免疫组织化学生物标志物在研究中产生了各种各样的结果。了解骨结构和重塑过程将有助于为特定研究课题选择可行的模型。