Dysmorphology, Orphan Diseases
Conditions
Keywords
artificial intelligence
Brief summary
There are around 8,000 rare diseases and new ones are described every month in the scientific literature. They affect a limited number of patients. Nearly 80% of these diseases have a genetic origin and 30 to 40% of them are associated with dysmorphia. The latter can be suspected by evaluating the morphological characteristics of the patient. This medical skill, called dysmorphology, which allows a diagnosis to be made by evaluating the morphological characteristics of a patient, is based on experience. Diagnosis is often easy for relatively common diseases, but more difficult for rarer pathologies affecting few patients and often described in a single ethnicity and age of life. The study aims to create a dataset specific to the application of methods from artificial intelligence. Extending the methodologies described to profile and extremity photographs will allow better recognition and description of dysmorphia. This will allow to make diagnostic suggestions by comparison with the database. The Data Science team has already explored the notion of phenotypic similarity of patients. Jean Feydy is a mathematician expert in image analysis and will ensure the scientific robustness of the study methods. This project will conclude with the establishment of a diagnostic aid tool, integrating research results for doctors with a particular interest in developmental anomalies and intellectual disability.
Interventions
OTHERClinical Data reuse
Clinical Data reuse
Sponsors
Imagine Institute
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
The patient inclusion criteria are: * Patients having a medical genetics, maxillofacial surgery, or craniofacial surgery consultation as part of the management of a rare disease (in France, disease affecting less than 30,000 people) associated with dysmorphia at the level of the head or neck (area from the vertex to the clavicles): hypotelorism, hypertelorism, exophthalmos, brachycephaly, anterior plagiocephaly, micrognathia, microretrognathia, prognathia, low ear, oblique eyelid fissures above, oblique eyelid fissures below, narrow eyelid fissures , small mouth, anteverted nostrils, short nose, broad nose tip, broad nose bridge, prominent nose bridge. * Patients with a confirmed diagnosis of one of the following pathologies: Noonan, 22q11.2 deletion, Crouzon, Kabuki, Pitt Hopkins, Mowat Wilson, Cornelia de Lange, Treacher-Collins, Goldenhar or by Silver-Russel * Patients for whom photographs of the face and/or hands are taken as part of their treatment The inclusion criteria for control subjects are: * Patients having a maxillofacial surgery consultation, as part of the management of a disease other than a rare disease associated with dysmorphia in the head or neck: acute pathology (wound) or chronic (gynecomastia). * Patients for whom photographs of the face and/or hands are taken as part of their treatment The criteria for non-inclusion of patients are: * Patients who have undergone facial or skull surgery before the first photo was taken. * Person subject to a judicial safeguard measure. The criteria for non-inclusion of control subjects are: * Pathologies affecting facial symmetry (dental cellulitis, displaced fractures). * Patient followed for dysmorphic syndrome or in whom dysmorphic syndrome has been suspected * Person subject to a judicial safeguard measure.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Relationship between phenotypic characteristics and genotype in rare pathologies associated with dysmorphia | through study completion, an average of 1 year | Relationship between phenotypic characteristics (based on photographs landmarks) of the face and hand from rare pathologies associated with dysmorphia and genotype. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Creation of a database of landmark photographs taken as part of care and including all patients seen in consultation | through study completion, an average of 1 year | Creation of a database of landmark photographs taken as part of care and including all patients seen in consultation |
| Training an algorithm using collected data for diagnostic purposes | through study completion, an average of 1 year | Training an algorithm using collected data to develop a dysmorphological diagnosis aid tool which could be particularly useful in situations of uncommon diseases where the clinician has not yet acquired the necessary expertise to make a diagnosis. |
Countries
France
Outcome results
None listed