Yousefi Faezeh, Mohammadi Younes, Nikikhah Kimia, Abbasiyan Forough
Oral and Maxillofacial Radiology Department, Dental Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Epidemiology Department, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Oral Radiol. 2025 Mar 17. doi: 10.1007/s11282-025-00815-4.
There has been an increasing interest in the use of implants to treat edentulous patients. In this regard, the use of cone beam computed tomography (CBCT) offers a variety of advantages compared with other imaging methods. However, the creation of beam-hardening artifacts adversely affects the quality of images. To our knowledge, little is known about the actual effectiveness of the Metal Artifact Reduction (MAR) algorithm on image quality improvement.
The objective of this study is to conduct a systematic review to investigate the effectiveness of the MAR algorithm on the magnitude of artifacts generated in CBCT images.
An electronic search was performed in electronic databases, including PubMed, Scopus, Web of Science, and Google Scholar. For each database, the search strategy was defined specifically. Studies that had the inclusion criteria for this review were imported into Endnote version 20. The risk of bias in the studies included in this systematic review was assessed by two independent reviewers based on the Joanna Briggs Institute (JBI)'s Critical Appraisal checklist. The selected final articles were scored based on the specified checklist. After reviewing selected articles, it was not possible to perform a meta-analysis due to the heterogeneity and multiplicity of the variables, and the studies were included in the systematic review.
A total of 4738 studies were identified. After eliminating duplicate and unrelated articles, 10 articles met the inclusion criteria. Results showed that the use of the MAR algorithm in the preparation of CBCT scans reduces the standard deviation (SD) of gray values. However, no definite result was achieved in relation to the contrast-to-noise ratio (CNR). In fact, it cannot be definitively concluded whether the use of the MAR algorithm will increase the CNR.
The results of this systematic review demonstrated that we cannot provide a definite answer regarding the effect of the MAR algorithm on reducing the artifacts around dental implants. The explanation is that this factor is affected by many variables, whose change can have a significant effect on the magnitude of artifacts generated in the image.
使用种植体治疗无牙患者的关注度日益增加。在这方面，与其他成像方法相比，锥束计算机断层扫描（CBCT）的使用具有多种优势。然而，束硬化伪影的产生会对图像质量产生不利影响。据我们所知，关于金属伪影减少（MAR）算法对图像质量改善的实际效果知之甚少。
本研究的目的是进行一项系统评价，以调查MAR算法对CBCT图像中产生的伪影大小的有效性。
在电子数据库中进行电子检索，包括PubMed、Scopus、Web of Science和谷歌学术。针对每个数据库，专门定义了检索策略。符合本评价纳入标准的研究被导入Endnote 20版本。两位独立评审员根据乔安娜·布里格斯研究所（JBI）的批判性评价清单对本系统评价中纳入的研究的偏倚风险进行评估。所选的最终文章根据指定清单进行评分。在审查所选文章后，由于变量的异质性和多样性，无法进行荟萃分析，这些研究被纳入系统评价。
共识别出4738项研究。在剔除重复和不相关文章后，10篇文章符合纳入标准。结果表明，在CBCT扫描准备过程中使用MAR算法可降低灰度值的标准差（SD）。然而，关于对比噪声比（CNR）未取得明确结果。事实上，无法确切得出使用MAR算法是否会提高CNR的结论。
本系统评价的结果表明，我们无法就MAR算法对减少牙种植体周围伪影的效果给出明确答案。原因是该因素受许多变量影响，这些变量的变化会对图像中产生的伪影大小产生显著影响。
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