A I in the Prediction of Clinical Performance, Marginal Fit and Fracture Resistance of Vertical Versus Horizontal Margin Designs Fabricated With 2 Ceramic Materials
NCT ID: NCT06164002
Last Updated: 2025-02-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
40 participants
INTERVENTIONAL
2023-09-01
2025-05-15
Brief Summary
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Detailed Description
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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).
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
SINGLE
Study Groups
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Group (I)
Patients will be prepared with vertical "feather edge" margin design.
change in restoration material and margin design.
comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results
Group (II)
Patients will be prepared with horizontal "shoulder" margin design.
change in restoration material and margin design.
comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results
Subgroup (A)
Patients will receive zirconia ceramic crowns
change in restoration material and margin design.
comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results
Subgroup (B)
Patients will receive hybrid ceramic crowns.
change in restoration material and margin design.
comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results
Interventions
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change in restoration material and margin design.
comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
2. Patient with poor oral hygiene and motivation.
3. Pregnant women.
4. Patient with psychiatric problems or unrealistic expectations.
5. Patients with no opposing occluding dentition in the area intended for restoration.
6. Patients with parafunctional habits. -
20 Years
50 Years
ALL
No
Sponsors
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Faculty of Dental Medicine for Girls
OTHER_GOV
Responsible Party
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Walaa Tarek Mohamed
assisstant lecturer
Locations
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Walaa Tarek El Hefnawy
Cairo, Al-Azhar University, Egypt
Countries
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Other Identifiers
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P-CR-23-04
Identifier Type: -
Identifier Source: org_study_id
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