RecruitingNCT04342234

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

Sponsor

University Hospital, Basel, Switzerland

Enrollment

450 participants

Start Date

Mar 5, 2020

Study Type

OBSERVATIONAL

Conditions

Cleft Palate Orofacial Cleft

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.

Eligibility

Inclusion Criteria1

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 Criteria1

Existence of a documented rejection

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Interventions

OTHERdata collection of palatal casts and palatal images of cleft patients routinely treated at the institution

data collection of palatal casts and palatal images of cleft patients, using routinely taken intraoral/palatal photographs and palatal casts of infants with cleft lip and palate deformity