Accuracy of 3D Slicer Software for Automatic Segmentation Versus Manual Segmentation Using Commercial Software to Evaluate Impacted and Unerupted Maxillary Canine: An Observational Study

NCT ID: NCT06972797

Last Updated: 2025-05-15

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

ENROLLING_BY_INVITATION

Total Enrollment

21 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-09-01

Study Completion Date

2026-10-31

Brief Summary

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Our research question will be, can automatic segmentation of maxillary impacted and unerupted canine using DentalSegmentator tool in 3D silcer software be as accurate as manual segmentation?

Detailed Description

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Conditions

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Impacted Canines

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

Age ranges from 8-70y (from 8 to less than15y for unerupted group - from 15 to 70y for impacted group). b. Scans clearly showing unerupted and impacted maxillary canines.

Exclusion Criteria

1. Scans with artifacts obscuring the area of interest.
2. Scans with fractures or pathological lesions obscuring the area of interest.
3. Image blurring due to patient movement during acquisition which could interfere with image interpretation.
Minimum Eligible Age

8 Years

Maximum Eligible Age

70 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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Rabab Amin

Assisstant lecturer

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Cairo university- faculty of dentistry

Cairo, Cairo Governorate, Egypt

Site Status

Countries

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Egypt

Other Identifiers

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CairoU_REC IM031839

Identifier Type: -

Identifier Source: org_study_id

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