Magnitude of beam-hardening artifacts produced by gutta-percha and metal posts on conebeam computed tomography with varying tube current

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Abstract

Purpose: This study was performed to evaluate the magnitude of artifacts produced by gutta-percha and metal posts on cone-beam computed tomography (CBCT) scans obtained with different tube currents and with or without metal artifact reduction (MAR). Materials and Methods: A tooth was inserted in a dry human mandible socket, and CBCT scans were acquired after root canal instrumentation, root canal filling, and metal post placement with various tube currents with and without MAR activation. The artifact magnitude was assessed by the standard deviation (SD) of gray values and the contrastto-noise ratio (CNR) at the various distances from the tooth. Data were compared using multi-way analysis of variance. Results: At all distances, a current of 4 mA was associated with a higher SD and a lower CNR than 8 mA or 10 mA (P<0.05). For the metal posts without MAR, the artifact magnitude as assessed by SD was greatest at 1.5 cm or less (P<0.05). When MAR was applied, SD values for distances 1.5 cm or closer to the tooth were reduced (P<0.05). MAR usage did not influence the magnitude of artifacts in the control and gutta-percha groups (P>0.05). Conclusion: Increasing the tube current from 4 mA to 8 mA may reduce the magnitude of artifacts from metal posts. The magnitude of artifacts arising from metal posts was significantly higher at distances of 1.5 cm or less than at greater distances. MAR usage improved image quality near the metal post, but had no significant influence farther than 1.5 cm from the tooth. (Imaging Sci Dent 2020; 50: 1-7).

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Gaêta-Araujo, H., Nascimento, E. H. L., Fontenele, R. C., Mancini, A. X. M., Freitas, D. Q., & Oliveira-Santos, C. (2020). Magnitude of beam-hardening artifacts produced by gutta-percha and metal posts on conebeam computed tomography with varying tube current. Imaging Science in Dentistry, 50(1), 1–7. https://doi.org/10.5624/ISD.2020.50.1.1

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