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Abstract Details

Dental Metallic Implants Investigation Using Brain Magnetic Resonance In-vitro Study
General Neurology
P5 - Poster Session 5 (11:45 AM-12:45 PM)
7-010
To guide clinical practice, we designed a phantom study to image various dental metals in vitro using 1.5 and 3.0 Tesla MRI and quantitatively analyzed the associated artifacts. We aimed to identify dental metallic materials with less amount of artifact, and the MRI strength and sequences that provide the greatest accuracy.
Dental metallic materials (e.g. braces, crowns, implants) could introduce artifacts into brain magnetic resonance imaging (MRI) scans, potentially impacting face and brain MR image interpretation, and leading to diagnostic inaccuracies.

We used one metallic brace (nickel-titanium alloy) and three dental implants (100% titanium, 85% titanium-15% zirconium and 100% zirconia ceramic) embedded in a watermelon phantom. We imaged the phantom using 1.5 Tesla (Siemens) and 3.0 Tesla (GE) MRI, using T1, T2, DWI and GRE sequences (2mm thickness, 16 slices). We compared the artifacts created by all four metallic materials on 1.5 versus 3.0 tesla and T1 versus T2-weightwed sequences. We also applied variable bandwidths to identify the optimum protocol that acceptably reduces the artifact distortions.

We observed that the greatest MRI edge artifact is created by 100% titanium and the least MRI artifact by the 100% ceramic zirconia. Nickel-titanium and zirconium-titanium alloy had variable and minimal amount of artifact. Greater artifact was noted on 3.0 Tesla when compared to 1.5Tesla, particularly on GRE sequences (T2 worse than T1-weighted). Increasing the bandwidth alleviated the artifact, while reducing the signal-to-noise ratio, and the bandwidth of 250 seemed optimal.

This watermelon phantom study informs the neuroimaging and dental community that titanium dental implants create greater artifacts than zirconium-based implants, especially at higher strength MRI and on T2 sequences. Future in-vivo registries and prospective studies should investigate how the diagnosis of various facial and brain pathologies is impacted by titanium-based dental implants.
Authors/Disclosures
Celine S. Dumitrascu, Student
PRESENTER
Miss Dumitrascu has nothing to disclose.
Rodica Grasu, DDS, MS Dr. Grasu has nothing to disclose.
Yuxiang Zhou, PhD Dr. Zhou has nothing to disclose.