Skip to main content
OpenTrials
Active, Not Recruiting

NCT Number: NCT06164002

A I in the Prediction of Clinical Performance, Marginal Fit and Fracture Resistance of Vertical Versus Horizontal Margin Designs Fabricated With 2 Ceramic Materials

The present study will be performed to evaluate application of artificial intelligence in the prediction of clinical performance, marginal fit and fracture resistance of vertical "feather-edge" versus horizontal "shoulder" margin designs fabricated with two ceramic materials (zirconia and hybrid ceramic)

Active, Not Recruiting

This study is active but is not currently recruiting participants.

Notify Me

Key information

Age range

20 year–50 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Walaa Tarek El Hefnawy

Cairo, Al-Azhar University, 02, Egypt

About this study

The objective of the present study is to characterize two different margin designs (vertical "feather-edge" and horizontal "shoulder") with two different ceramic materials (zirconia and hybrid ceramic) in terms of clinical performance, marginal fit and fracture resistance.

Primary outcome:

Predicting the follow up results using the new (artificial intelligence "AI") model for vertical "feather-edge" versus horizontal "shoulder" margin designs fabricated with two ceramic materials (zirconia and hybrid ceramic) that saves the clinical evaluation period, hence saves the expenses of the dental clinic.

Secondary outcome:

Evaluating the clinical performance, marginal fit and fracture resistance of vertical "feather-edge" versus horizontal "shoulder" margin designs fabricated with two ceramic materials (zirconia and hybrid ceramic).

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 1. Age range of patients should be 20-50 years old, able to read and sign the informed consent document. 2. Patient with posterior molars indicated for full coverage restorations. 3. Patient should be able to physically and psychologically tolerate conventional restorative procedures. 4. Patients who are willing to return for follow-up examination and evaluation. 5. Indicated molar should have adequate tooth preparation length to ensure proper retention and resistance form. 6. Patient with sound contralateral or adjacent tooth to the selected tooth requiring full coverage restoration.

Exclusion criteria

  • Patient in the growth stage with partially erupted teeth.
  • Patient with poor oral hygiene and motivation.
  • Pregnant women.
  • Patient with psychiatric problems or unrealistic expectations.
  • Patients with no opposing occluding dentition in the area intended for restoration.
  • Patients with parafunctional habits. -

Treatment and study plan

change in restoration material and margin design.

Other

comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results

Other names: Predicting the follow up results using the new (artificial intelligence "AI") model

Primary outcomes

  1. Artificial intelligence application assessment, laboratory marginal fit and fracture resistance

    Time frame: 6 months

    Predicting the follow up results using the new (artificial intelligence "AI") model for vertical "feather-edge" versus horizontal "shoulder" margin designs fabricated with two ceramic materials (zirconia and hybrid ceramic) that saves the clinical evaluation period, hence saves the expenses of the dental clinic.

Secondary outcomes

  1. In-Vitro Study preparations.

    Time frame: 6 months

    Marginal Adaptation "feather-edge" versus horizontal "shoulder" margin designs fabricated with two ceramic materials (zirconia and hybrid ceramic).

  2. In-Vitro Study

    Time frame: 6 months

    Fracture Resistance

  3. In-Vivo Study

    Time frame: Baseline,3 months,6 months

    Clinical Examination

Sponsors and collaborators

Lead sponsor

Faculty of Dental Medicine for Girls

Other Gov

Registry information

Official study title

Application of Artificial Intelligence in the Prediction of Clinical Performance, Marginal Fit and Fracture Resistance of Vertical Versus Horizontal Margin Designs Fabricated With Two Ceramic Materials

Important dates

Study start
2023
Primary completion
2024
Study completion
2025
First posted
Dec 11, 2023
Registry last updated
Feb 6, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.