Recruiting

NCT Number: NCT04342234

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

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.

Recruiting

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Key information

Conditions

Cleft Palate Cleft Lip Congenital Abnormalities Congenital, Hereditary, and Neonatal Diseases and Abnormalities Craniofacial Abnormalities Jaw Abnormalities Jaw Diseases Lip Diseases Maxillofacial Abnormalities Mouth Abnormalities Mouth Diseases Musculoskeletal Abnormalities Musculoskeletal Diseases Orofacial Cleft Stomatognathic Diseases Stomatognathic System Abnormalities

Sex eligibility

All sexes

Study type

Observational

Primary location

Mund-, Kiefer- und Gesichtschirurgie, Universitätsspital Basel

Basel, 4031, Switzerland

Location status: Recruiting

Location contact

Andreas Müller, PD Dr. med. Dr. med. dent.

CONTACT

[email protected]

+41 061 328 60 95

Benito Benitez, Dr. med. Dr. med. dent.

CONTACT

[email protected]

+41 61 556 52 85

Martin Erismann

SUB_INVESTIGATOR

Prasad Nalabothu, Dr.

SUB_INVESTIGATOR

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

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

Other

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

Primary outcomes

3D palatal geometry

Time frame: 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

Study contacts

Contact information is provided by the study sponsor or research team.

Andreas Müller, PD Dr. med. Dr. med. dent. Dr.

CONTACT

[email protected]

+41 061 328 60 95

Benito Benitez, Dr. med. Dr. med. dent.

CONTACT

[email protected]

+41 61 556 52 85

Sponsors and collaborators

Lead sponsor

University Hospital, Basel, Switzerland

Other

Collaborators

Botnar Research Centre for Child Health (BRCCH)
Department of Computer Science, Computer Graphics Laboratory, ETH Zurich
sciCORE Basel

Registry information

Important dates

Study start: 2020
Primary completion: 2025
Study completion: 2025
First posted: Apr 10, 2020
Registry last updated: Mar 24, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Recruiting