Predict Tooth Wear
Tooth wear, resulting from gradual loss of dental hard tissue due to mechanical and chemical factors, impacts tooth structure, texture, and function. It affects quality of life, with varying prevalence (26.9% to 90.0%), and is traditionally detected visually during check-ups, often at advanced stages. Monitoring altera
| Condition(s) | Prediction of Tooth Wear |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | Tooth wear, resulting from gradual loss of dental hard tissue due to mechanical and chemical factors, impacts tooth structure, texture, and function. It affects quality of life, with varying prevalence (26.9% to 90.0%), and is traditionally detected visually during check-ups, often at advanced stages. Monitoring alterations in tooth shape via intraoral scanners aids early detection, but restoration remains challenging. Prevention through early detection is vital, as patients may not fully comprehend tooth structure loss until visible. Recently, statistical shape analysis (SSA) used to learn the tooth anatomy and define a reference shape (biogeneric tooth) using. However, assuring landmark consistency is challenging mostly due to biases of the operator. Recently, a robust method called MEG- |
| Who can participate | Inclusion Criteria: * teeth avulsed presenting a tooth wear index between 0 and 3 * mature incisor, canine, premolar or molars (1st and 2nd only) Exclusion Criteria: * teeth avulsed presenting a tooth wear index over 3 (or presenting an oral rehabilitation representative of a similar wear) * immature teeth or teeth without root edification * wisdom teeth |
| Ages | 18 Years to 80 Years |
| Sex | All |
| Lead sponsor | Hospices Civils de Lyon |
| Locations | Indianapolis, Indiana, United States; Leuven, Belgium; Lyon, France; Lucknow, India; Tel Aviv, Israel |
| Start date | 2023-12-12 |
| NCT ID | NCT06681844 |
| Official listing | https://clinicaltrials.gov/study/NCT06681844 |