Neural Network to Calculate Morphology of the Cleft Palate to Reduce Cleft Lip and Palate Treatment Burden.

Recruiting

• Conditions: Cleft Palate; Orofacial Cleft

• Registration Number: NCT04342234
• Lead Sponsor: University Hospital, Basel, Switzerland

Brief Summary

This study is to develop a neural network to compute palatal three dimensional (3D) geometry by using routinely taken intraoral/palatal photographs and palatal casts of infants with cleft lip and palate deformity for reducing cleft lip and palate treatment burden. Data of palatal casts and palatal images of cleft patients routinely treated at the University Hospital Basel will be analyzed.The collection of large data helps in developing a neural network that will allow the computation of the 3D geometry from single photographs.

Detailed Description

Not available

Study Timeline

• Study Start: 2020-03-05
• Study First Submitted: 2020-04-08
• Study First Submitted QC: 2020-04-08
• Study First Posted: 2020-04-10
• Status Verified: 2025-03
• Last Update Submitted: 2025-03-19
• Last Update Posted: 2025-03-24
• Primary Completion: 2025-12
• Study Completion: 2025-12

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 450

Inclusion Criteria

• Patients with cleft lip and palate malformation with available routinely performed plaster cast model from palatal impressions, intraoral scans from the palate and corresponding images of the cleft palate (1970 till 2025)

Exclusion Criteria

• Existence of a documented rejection

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
3D palatal geometry	at baseline	palatal cleft photographs (input) and corresponding 3D palatal geometry (output) create this 3D palatal geometry for development of image based, non-invasive palatal shape reconstruction

Trial Locations

Locations (1)

Mund-, Kiefer- und Gesichtschirurgie, Universitätsspital Basel; 🇨🇭 Basel, Switzerland