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

Cairo University (CU) logo

Cairo University (CU)

Status

Invitation-only

Conditions

Impacted Canines

Study type

Observational

Funder types

Other

Identifiers

NCT06972797
CairoU_REC IM031839

Details and patient eligibility

About

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?

Enrollment

21 estimated patients

Sex

All

Ages

8 to 70 years old

Volunteers

No Healthy Volunteers

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.

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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