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

• Conditions: Impacted Canines

• Registration Number: NCT06972797
• Lead Sponsor: Cairo University

Brief Summary

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

Not available

Study Timeline

• Status Verified: 2025-04
• Study First Submitted: 2025-05-07
• Study First Submitted QC: 2025-05-07
• Last Update Submitted: 2025-05-07
• Study First Posted: 2025-05-15
• Last Update Posted: 2025-05-15
• Study Start: 2025-09-01
• Primary Completion: 2026-09-30
• Study Completion: 2026-10-31

Recruitment & Eligibility

• Status: ENROLLING_BY_INVITATION
• Sex: All
• Target Recruitment: 21

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.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
3D volume analysis	one year	Automatic segmentation of impacted canine and volumetric measurements

Trial Locations

Locations (1)

Cairo university- faculty of dentistry; 🇪🇬 Cairo, القاهرة, Egypt