About this Abstract |
| Meeting |
2027 TMS Annual Meeting & Exhibition
|
| Symposium
|
Biomedical Materials and Devices: From Laboratory to Market
|
| Presentation Title |
Quantitative Percussion Diagnostics for Detecting Loose Crown Defects in Teeth |
| Author(s) |
Jie Shen, Cherilyn G Sheets, James C Earthman |
| On-Site Speaker (Planned) |
James C Earthman |
| Abstract Scope |
Early diagnosis of loose dental crowns by cement degradation and loss remains a clinical challenge due to the inability of traditional radiographs to see under radiopaque restorations. Dentists often must wait until the crown falls off to have indications of problems. The present study utilizes Quantitative Percussion Diagnostics (QPD), a tapping method that analyzes the kHz range oscillations of microgap defects which occur under percussion conditions. An integrated commercial AI algorithm uses this analysis to detect loose crown failures. To understand the percussion induced oscillations of loose crown defects, we integrated results from Finite Element Analysis (FEA) models with physical test data for both extracted human teeth and 3D printed replica teeth. Percussion loading data revealed that crown cement degradation acts as a microgap defect type, producing distinct frequency changes and damping patterns proportional to the structural compromise. Our results confirm that QPD reliably differentiates various degrees of crown loosening. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Biomaterials, Computational Materials Science & Engineering, Modeling and Simulation |