Dudkiewicz Katarzyna, Łacinik Szymon, Jedliński Maciej, Janiszewska-Olszowska Joanna, Grocholewicz Katarzyna
Student Scientific Society at the Department of Interdisciplinary Dentistry, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland.
Department of Interdisciplinary Dentistry, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland.
J Pers Med. 2024 Feb 27;14(3):252. doi: 10.3390/jpm14030252.
No systematic review or meta-analysis has been identified that provides a clinician's perspective on the shade selection process for ceramic restorations. The aim of the present systematic review is to find and systematize the available knowledge by referring to the methods to assess the color of dental ceramics.
The final search was performed on 10 December 2023 in six search engines. The keywords used in the search strategy were as follows: ("color matching" OR "shade matching" OR "color measurement" AND "porcelain" OR "dental ceramics") AND "dentistry" AND "accuracy".
The search strategy identified 139 potential articles. After the screening process, sixteen articles were included in the review.
In conclusion, the most common method, the visual method, has lower accuracy and repeatability. Devices like spectrophotometers and colorimeters provide precise, repeatable, and objective measurements, but fail to be widely applied in everyday clinical practice. Clinicians should not rely solely on their senses for shade determination, but should turn to quantitative methods. Colorimetric devices connected to mobile applications are an interesting and useful tool. Software and apps based on artificial intelligence are emerging as promising tools, but they require further research.
尚未发现有系统评价或荟萃分析能从临床医生的角度探讨陶瓷修复体的颜色选择过程。本系统评价的目的是通过参考评估牙科陶瓷颜色的方法来查找并系统化现有知识。
于2023年12月10日在六个搜索引擎上进行了最终检索。检索策略中使用的关键词如下:(“颜色匹配”或“色度匹配”或“颜色测量”与“瓷”或“牙科陶瓷”)以及“牙科”和“准确性”。
检索策略共识别出139篇潜在文章。经过筛选过程,16篇文章被纳入本评价。
总之,最常用的视觉方法准确性和可重复性较低。分光光度计和色度计等设备能提供精确、可重复且客观的测量结果,但未能在日常临床实践中广泛应用。临床医生不应仅依靠自身感官来确定色度,而应采用定量方法。连接到移动应用程序的比色设备是一种有趣且有用的工具。基于人工智能的软件和应用程序正成为有前景的工具,但它们需要进一步研究。