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

NCT04342234 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 450

Last updated 2025-03-24

No results posted yet for this study

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.

Conditions

  • Cleft Palate
  • Orofacial Cleft

Interventions

OTHER

data 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

Sponsors & Collaborators

  • Botnar Research Centre for Child Health (BRCCH)

    collaborator UNKNOWN

  • sciCORE Basel

    collaborator UNKNOWN

  • Department of Computer Science, Computer Graphics Laboratory, ETH Zurich

    collaborator UNKNOWN

  • University Hospital, Basel, Switzerland

    lead OTHER

Principal Investigators

  • Andreas Müller, PD Dr. med. Dr. med. dent. Dr. · Mund-, Kiefer- und Gesichtschirurgie, Universitätsspital Basel

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-03-05
Primary Completion
2025-12-31
Completion
2025-12-31

Countries

  • Switzerland

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04342234 on ClinicalTrials.gov