Dentofacial Deformities, Orthognathic Surgery
Conditions
Keywords
Imaging, three-dimensional, Cephalometry, Anatomic Landmarks, Radiographic Image Interpretation, Deep Learning, Orthodontics
Brief summary
This study is aimed to develop and assess the validity of an algorithm for automated three-dimensional cephalometry.
Detailed description
Cephalometric analysis is a standardized diagnostic method used daily by orthodontists and maxillofacial surgeons. It is based on linear and angular measurements performed on radiographic images. This examination is traditionally done manually on two-dimensional radiographs, which does not allow to analyze finely the bilateral structures which are found superimposed. Cephalometric analysis of three-dimensional imaging (cone beam computed tomography (CBCT) or computed tomography scan (CT-Scan)) may provide additional diagnostic information, particularly for patients with maxillofacial abnormalities or marked asymmetries. One of the obstacle to the clinical use of three-dimensional cephalometric analysis is the time and expertise needed to manually place the landmarks. Automatic methods described in literature are preliminary and lack validation in a clinical context. Our retrospective observational study is aimed to develop and validate a new automated three-dimensional cephalometry method. This method will be based on a deep learning algorithm trained from a database of pre-surgery CT-Scans of patients with have undergone an orthognathic surgery. These CT-Scans will be manually annotated to provide a reference standard for the training of the algorithm and its evaluation. The validation of our results will focus on demonstrating the diagnostic effectiveness and robustness of three-dimensional cephalometric measurements obtained in this clinical context.
Interventions
None listed
Sponsors
Laboratoire de Biomécanique Georges Charpak
Assistance Publique - Hôpitaux de Paris
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
15 Years to No maximum
Healthy volunteers
No
Inclusion criteria
1. Patients followed in the maxillofacial surgery department of Pitie-Salpetriere hospital (AP-HP, Paris, France) since 2014; 2. who underwent orthognathic surgery; 3. who had, for surgery planning, a three-dimensional radiographic examination (CT-Scan) which has been segmented for the manufacture of a custom-made device; 4. who did not object to the research.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Average distances (in mm) between the points placed automatically and the points placed manually (reference). | through study completion, an average of 1 year |
Secondary
| Measure | Time frame |
|---|---|
| Percentage of points placed automatically within 2 / 3 / 4 mm of the the points placed manually (reference) | through study completion, an average of 1 year |
Countries
France
Outcome results
None listed