CHU de Bordeaux
Bordeaux, France
Location contact
Anaïs CAVARE, Dr
CONTACT
05 47 30 43 01 ext. +33
Olivia KEROUREDAN, Dr
CONTACT
05 47 30 43 01 ext. +33
NCT Number: NCT07666269
MOSAIC aims to determine whether oro-dental morphological anomalies, particularly palatal morphology, associated with rare bone and cartilage diseases can be precisely characterized using 3D digital models analysed through geometric morphometrics. The study will also evaluate whether these morphological signatures can train an artificial intelligence (AI) algorithm to classify syndromes. A prospective monocentric case-control cohort will be constituted, including 3D intra-oral scans and associated clinical data. The final goal is to improve diagnostic accuracy and reduce diagnostic delay in rare bone disorders.
Trial opening soon.
Get Notified18 year and older
All sexes
Interventional
Not applicable
Bordeaux, France
Anaïs CAVARE, Dr
CONTACT
05 47 30 43 01 ext. +33
Olivia KEROUREDAN, Dr
CONTACT
05 47 30 43 01 ext. +33
Rare bone and cartilage diseases are genetically heterogeneous conditions in which oro-dental anomalies are frequent yet insufficiently characterized, partly due to subjective clinical assessment and the absence of quantitative tools. Palatal morphology and tooth number/shape anomalies may represent key phenotypic markers but remain underused in diagnosis. Advances in 3D intra-oral scanning and geometric morphometrics now allow precise, reproducible shape analysis of complex anatomical structures. In parallel, artificial intelligence has shown promising results in classifying craniofacial phenotypes from 2D images. However, no study has yet combined 3D digital oral data, geometric morphometrics, and machine learning for rare bone disorders. MOSAIC addresses this gap by building the first structured 3D database dedicated to these conditions and developing a classification model capable of identifying syndrome-specific morphological patterns.
Participants will undergo a single visit including an intra-oral 3D optical impression and collection of clinical/genetic data. Geometric morphometric analysis (Generalized Procrustes Analysis, Principal Component Analysis, ProcMANOVA/MANCOVA, Pairwise comparison) will be performed on palatal landmarks configuration. Morphometric outputs will feed supervised machine-learning models (Random Forest, SVM, XGBoost) trained and validated for syndrome classification.
Each participant will take part in one single visit (T0) without longitudinal follow-up. Data will then be pseudonymized, processed, and analysed in successive workpackages: (1) database constitution, (2) geometric morphometric analysis, (3) AI model training and validation, (4) internal independent testing. Further external validation is expected through a dedicated follow-up protocol using an independent external dataset. No clinical intervention or therapeutic modification is involved.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Participants will undergo a single visit including an intra-oral 3D optical impression and collection of clinical/genetic data
Time frame: at inclusion (Day 0)
Discriminative ability of geometric morphometric analysis to differentiate patient subgroups and healthy controls (procMANOVA on Procrustes coordinates, pairwise comparison of Procrustes distance).
Contact information is provided by the study sponsor or research team.
Anaïs CAVARE, Dr
CONTACT
05 47 30 43 01 ext. +33
Olivia KEROUREDAN, Dr
CONTACT
05 47 30 43 01 ext. +33
University Hospital, Bordeaux
Other
Geometric Morphometric Characterization of Oro-Dental Anomalies in Rare Bone and Cartilage Diseases From 3D Digital Data (MOSAIC)
Acronym: MOSAIC
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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