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

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04342234

Enrollment

450

Registered

2020-04-10

Start date

2020-03-05

Completion date

2025-12-31

Last updated

2025-03-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cleft Palate, Orofacial Cleft

Keywords

Cleft Lip, Neural Network, palatal plate therapy, palatal 3D geometry, palatal shape reconstruction

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.

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

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

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

Design outcomes

Primary

Measure	Time frame	Description
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

Countries

Switzerland

Contacts

Primary ContactBenito Benitez, Dr. med. Dr. med. dent.

benito.benitez@usb.ch+41 61 556 52 85

Backup ContactAndreas Müller, PD Dr. med. Dr. med. dent. Dr.

andreas.mueller@usb.ch+41 061 328 60 95

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026