Introduction: CBCT devices are a type of CT scanners that use a cone-shaped X-ray beam, two-dimensional detectors, and various software tools to produce images. An artifact is any distortion or error in the image that is not related to the object being scanned. Metal artifacts are caused by the high density of metal materials and appear on CBCT images as bright and dark streaks that significantly degrade image quality. Purpose: The aim of this thesis is to examine the impact of metal artifacts on radiation dose and image quality in CBCT imaging in dental radiography. We aim to determine whether the type of material influences the formation of metal artifacts, how exposure conditions affect them, their impact on patient dose, and how they affect image quality and diagnostic usefulness. Additionally, we seek to explore which methods for reducing metal artifacts are known and how effective they are. Methods: We used a descriptive method with a systematic literature review, sourcing material from international databases. The selection criteria included a time frame from 2015 to 2025, full-text availability, and articles written in English. We searched using keywords such as dental CBCT, dental cone beam computed tomography, dental radiography, metal artifacts, and image quality. Results: After reviewing the databases, 18 relevant articles were included in the analysis. We conducted a thorough comparison of their content, focusing on their methodology, results, and findings. Discussion and conclusion: We found that materials with higher atomic numbers and densities cause more intense artifacts. Increasing tube voltage can reduce metal artifacts, whereas changing tube current does not have an effect. The results of studies on the influence of the field of view on metal artifacts were inconsistent; however, using a larger field of view solely to reduce metal artifacts is not justified. When adjusting exposure conditions, their impact on radiation dose must also be considered. The presence of metal artifacts reduces image quality and diagnostic value, not only near the source but also at greater distances. In addition to higher tube voltages, artifact reduction algorithms, various filters, and artificial intelligence can be used to reduce metal artifacts. However, no universal method exists that performs equally well in all cases.
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