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Published on: February 23, 2024
Artefact expression associated with several cone-beam computed tomographic machines when imaging root filled teeth.
K F Vasconcelos1,2, L F P Nicolielo1, M C Nascimento1,2
1OMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium.
Cone-beam CT (CBCT) imaging of Gutta-percha root-filled teeth reveals significant variations in artifact patterns across different devices. Cupping artifacts were most common, highlighting the need for improved CBCT algorithms for dental materials.
Area of Science:
- Dental Imaging
- Radiology
- Biomedical Engineering
Background:
- Cone-beam computed tomography (CBCT) is essential for endodontic assessment.
- Gutta-percha root fillings can cause imaging artifacts, potentially impacting diagnostic accuracy.
- Understanding these artifacts is crucial for optimizing CBCT protocols.
Purpose of the Study:
- To evaluate and compare artifact patterns generated by Gutta-percha root-filled teeth across four different CBCT devices.
- To identify the prevalence and types of artifacts, including cupping, hypodense halos, and streak artifacts.
- To assess the impact of specific CBCT settings and software on artifact expression.
Main Methods:
- Ten human premolars with Gutta-percha root fillings were scanned using four CBCT devices (3D Accuitomo 170, WhiteFox, Cranex 3D, Scanora 3D) under simulated clinical conditions.
- Images were analyzed by three calibrated dentomaxillofacial radiologists for the presence of specific artifacts.
- Statistical analysis, including Kappa tests and Chi-squared tests, was used to assess observer agreement and artifact prevalence.
Main Results:
- Moderate to perfect intra- and interobserver agreement was achieved for artifact identification.
- Cupping artifact was the most frequent (70%), followed by hypodense halos (35%) and streak artifacts (16%).
- Significant differences in artifact prevalence were observed among CBCT systems, with axial slices showing more streaks. Dedicated artifact reduction modes did not significantly improve results.
Conclusions:
- The type and severity of artifacts associated with Gutta-percha root fillings vary significantly between CBCT devices.
- Further development of CBCT reconstruction algorithms is necessary to mitigate artifacts from dense dental materials.
- Optimizing image quality at low radiation doses remains a key challenge for CBCT in endodontics.
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