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

University Hospital Basel

Status: Enrolling

Conditions: Cleft Palate; Orofacial Cleft

Treatments: Other: data collection of palatal casts and palatal images of cleft patients routinely treated at the institution

Study type: Observational

Funder types: Other

Identifiers

NCT04342234

2020-00388 ch19Mueller2;

Details and patient eligibility

About

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.

Enrollment: 450 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

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