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Predict Tooth Wear

NCT06681844 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2024-11-08

No results posted yet for this study

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-IsoQuad offered automated, isotopological remeshing. Combining this with SSA holds promise for diagnostic and simulation purposes. This study aims to assess the reliability of a remeshing-SSA approach for altered and intact premolar analysis and compare machine learning algorithms for simulating the shape of the initially intact tooth or future altered one.

The clinical perspective of the current work offers possibilities to:

* Prevent future tooth wear by detecting it at an early stage; and communicate better to the patient by presenting him/her potential future altered teeth
* Simulate the adapted reconstruction for the altered tooth by simulating the initially intact one

Conditions

  • Prediction of Tooth Wear

Interventions

OTHER

Tooth Shape assessed using an intraoral scanner one after avulsion

* Tooth Shape assessed using an intraoral scanner one after avulsion and stored as StereoLithography (STL) file * Age, gender, reason of avulsion, type of tooth taken from the database and stored in a google sheet

Sponsors & Collaborators

  • Hospices Civils de Lyon

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-12-12
Primary Completion
2025-12-12
Completion
2027-12-31

Countries

  • United States
  • Belgium
  • France
  • India
  • Israel

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06681844 on ClinicalTrials.gov