About this trial
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 criteria
This trial does not accept healthy volunteersQualifiers
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)
Disqualifiers
Existence of a documented rejection
Trial population
Patients with cleft lip and palate malformation with available routinely performed plaster cast model from palatal impressions and/or intraoral scans of palate, and corresponding images of the cleft palate treated in the past as well as future patients treated at University hospital Basel (USB) for the last 50 years will be included (1970 till 2025). Models were (until 2020) and intraoral scans are (since 2020) taken routinely in newborns and for follow-up (age 1-20 years) according to WHO Guidelines.
Trial design
Cohort
Prospective
Treatments tested in this trial
data collection of palatal casts and palatal images of cleft patients routinely treated at the institution
Other interventiondata 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
Treatment groups
Trial outcomes
Primary outcomes
3D palatal geometry
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
Sponsors and contacts
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University Hospital, Basel, Switzerland
Lead sponsor
Botnar Research Centre for Child Health (BRCCH)
Collaborator
sciCORE Basel
Collaborator
Department of Computer Science, Computer Graphics Laboratory, ETH Zurich
Collaborator