About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Biological Materials Science
|
| Presentation Title |
Quantitative Percussion Diagnostics for Differentiating Microgap Defects (MGD) in Teeth |
| Author(s) |
Jie Shen, James C. Earthman, Cherilyn G. Sheets |
| On-Site Speaker (Planned) |
James C. Earthman |
| Abstract Scope |
Quantitative percussion diagnostics (QPD) detects microgap defects (MGD) in teeth by analyzing their oscillations within microsecond timescales. This study evaluates the QPD diagnostic in distinguishing diverse types of MGD, specifically vertical cracks, loss of cement seals, and damaged periodontal ligament (PDL) tissues, across various tooth geometries. Due to limitations studying in vivo cases, an in vitro experimental approach using 3D printed replica teeth was conducted, and in silico FEA models were developed. Results from both approaches showed that distinct oscillation patterns result from different MGD types under percussion loading, which can be characterized by sinusoid decomposition. These findings demonstrate QPD’s potential for reliably detecting and differentiating MGD. This work also establishes a foundational understanding of MGD dynamics in dental biological and restorative structures. Being able to model the different graph shapes associated with specific defects will greatly assist the clinician in recognizing indications of specific defects in teeth and implants. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Biomaterials, Modeling and Simulation, Computational Materials Science & Engineering |