Section for Oral Radiology and Endodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
Department of Periodontology, School of Dentistry, University of São Paulo-USP, São Paulo, Brazil.
Clin Oral Implants Res. 2024 Aug;35(8):793-809. doi: 10.1111/clr.14212. Epub 2023 Nov 22.
Diagnostic imaging is crucial for implant dentistry. This review provides an up-to-date perspective on the application of digital diagnostic imaging in implant dentistry.
Electronic searches were conducted in PubMed focusing on the question 'when (and why) do we need diagnostic imaging in implant dentistry?' The search results were summarised to identify different applications of digital diagnostic imaging in implant dentistry.
The most used imaging modalities in implant dentistry include intraoral periapical radiographs, panoramic views and cone beam computed tomography (CBCT). These are dependent on acquisition standardisation to optimise image quality. Particularly for CBCT, other technical parameters (i.e., tube current, tube voltage, field-of-view, voxel size) are relevant minimising the occurrence of artefacts. There is a growing interest in digital workflows, integrating diagnostic imaging and automation. Artificial intelligence (AI) has been incorporated into these workflows and is expected to play a significant role in the future of implant dentistry. Preliminary evidence supports the use of ionising-radiation-free imaging modalities (e.g., MRI and ultrasound) that can add value in terms of soft tissue visualisation.
Digital diagnostic imaging is the sine qua non in implant dentistry. Image acquisition protocols must be tailored to the patient's needs and clinical indication, considering the trade-off between radiation exposure and needed information. growing evidence supporting the benefits of digital workflows, from planning to execution, and the future of implant dentistry will likely involve a synergy between human expertise and AI-driven intelligence. Transiting into ionising-radiation-free imaging modalities is feasible, but these must be further developed before clinical implementation.
诊断影像学对于种植牙至关重要。本综述提供了数字诊断影像学在种植牙中应用的最新视角。
在 PubMed 上进行电子检索，重点关注“我们在种植牙中何时（以及为何）需要诊断影像学？”检索结果进行总结，以确定数字诊断影像学在种植牙中的不同应用。
种植牙中最常用的影像学模式包括口腔根尖射线照相、全景视图和锥形束计算机断层扫描（CBCT）。这些模式依赖于获取标准化以优化图像质量。特别是对于 CBCT，其他技术参数（即管电流、管电压、视野、体素大小）与最小化伪影的发生有关。数字化工作流程的整合，包括诊断影像学和自动化，引起了越来越多的关注。人工智能（AI）已被纳入这些工作流程，预计将在种植牙的未来中发挥重要作用。初步证据支持使用可增加软组织可视化价值的非电离辐射成像模式（例如 MRI 和超声）。
数字诊断影像学是种植牙的必要条件。图像采集协议必须根据患者的需求和临床适应证进行调整，在辐射暴露和所需信息之间进行权衡。越来越多的证据支持从规划到执行的数字化工作流程的优势，种植牙的未来可能涉及人类专业知识和人工智能驱动的智能之间的协同作用。向非电离辐射成像模式过渡是可行的，但在临床实施之前，这些模式还需要进一步开发。
