Archive/Impact of Metal Artifact Reduction on the Diagnosis of Peri-Implant Defects Around Zirconia and Titanium Implants: A CBCT Pilot Study
Impact of Metal Artifact Reduction on the Diagnosis of Peri-Implant Defects Around Zirconia and Titanium Implants: A CBCT Pilot Study
Mahsa Moannaei, Mojdeh Mehdizadeh, Farnaz Mirrashidi et al.
3 de julio de 2026
en

Abstract

Background/Objectives: Metal artifacts from dental implants degrade CBCT image quality and may impair detection of peri-implant bone defects. Zirconia implants produce stronger artifacts than titanium due to its higher atomic number. This study evaluated the impact of a native MAR algorithm (SMARF) on CBCT detection of buccal fenestration and dehiscence of varying sizes adjacent to zirconia versus titanium implants. Methods: In this ex vivo pilot study, two 4 mm × 12 mm implants (one titanium and one zirconia) were implanted in a dry human mandible. Artificial fenestration and dehiscence defects were created at the buccal surface of right and left premolar regions, in three sizes (small 2 mm × 2 mm× 1 mm; medium 2 mm × 4 mm× 1 mm; large 2 mm × 6 mm× 1 mm). Scans were acquired with a Papaya 3D (Genoray) CBCT using a single-tooth FOV (4 cm× 4 cm × 5 cm), 83 kVp, 10 mA, 0.1 mm voxel; each condition was imaged with MAR on and off (six repeats each). Two trained observers scored defect presence on a five-point Likert scale. Sensitivity, specificity, inter- and intraobserver agreement (Cohen’s kappa), and comparisons across conditions were calculated. Results: Interobserver κ = 0.65 (substantial); intraobserver κ = 0.87–1.00 (excellent). For titanium implants, sensitivity and specificity were 100% across all defect types, sizes, and MAR settings. For zirconia implants, fenestration sensitivity with MAR off increased with size (small 50%, medium 75%, large 100%); MAR on raised sensitivity to 100% for all sizes, with a significant improvement for small fenestrations (p = 0.005). Dehiscence sensitivity for zirconia was 100% across sizes and MAR conditions. Specificity for zirconia defects was 83.3% with MAR off and decreased to 66.6% with MAR on (p = 0.07). Conclusions: With the Papaya 3D system used in this pilot study, MAR was unnecessary for defect detection adjacent to titanium implants but affected performance for zirconia implants: MAR increased sensitivity for small fenestrations while reducing specificity (although not statistically significant). Clinicians should weigh the sensitivity–specificity trade off when applying MAR around zirconia implants.

IPC Classification

G06A61A01

Keywords

impactmetalartifactreductiondiagnosisperi-implantdefectsaroundzirconiatitaniumimplantscbctpilotoralbackgroundobjectivesartifactsdentaldegradeimagequalityimpairdetectionbone
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