Accuracy of Digital Three-Dimensional Root Position Prediction Via Digitized Models

NCT ID: NCT03552640

Last Updated: 2018-08-21

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Total Enrollment

10 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-08-31

Study Completion Date

2019-09-30

Brief Summary

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Measuring the accuracy of a new technique by which root positions can be predicted at the pre-finishing stage of the comprehensive orthoodntic treatment

Detailed Description

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A CBCT is taken Pre-Treatment

Segmentation of teeth is done from the CBCT exported as STL files and kept aside.

Routine comprehensive orthodontic treatment is done till pre-finishing stage.

Impression for teeth is taken at this timepoint.

A cast is poured and laser scanned.

Now the investigators have segmented teeth and a cast with new crown positions

The investigators will superimpose the teeth on the crowns of the digital cast to obtain the " Predicted Root Position" (PRP)

To check accuracy of this Prediction a CBCT is taken and compared to the prediction to check its accuracy.

Conditions

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Orthodontic Appliance Complication

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients requiring orthodontic treatment
* Adult set of permanent dentition
* Non-extraction cases

Exclusion Criteria

* Syndromic patients
Minimum Eligible Age

12 Years

Maximum Eligible Age

30 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Cairo University

OTHER

Sponsor Role lead

Responsible Party

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Mahmoud Abdullah El-Gendi

Dr

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Orthodontic Department

Cairo, , Egypt

Site Status RECRUITING

Countries

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Egypt

Facility Contacts

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Mai Hamdy Aboul Fotouh, PhD

Role: primary

+201001884499

Amr Ragab El Bialy, PhD

Role: backup

+20 100 660 7277

Other Identifiers

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CEBD-CU-2018-04-19

Identifier Type: -

Identifier Source: org_study_id

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