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

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorUniversity Hospital, Basel, Switzerland

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 volunteers

Qualifiers

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

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

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

    Other intervention

    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

Treatment groups

No treatment groups listed

Trial outcomes

Primary outcomes

1

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

Time frame
at baseline

Secondary outcomes

Other outcomes

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