NCT04464252

Development and Validation of an Automated Three-dimensional Cephalometry Method

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 453 (actual)
• Sponsor: Assistance Publique - Hôpitaux de Paris · Academic / Other
• Sex: All
• Age: 15 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Orthognathic Surgery
• Dentofacial Deformities

Timeline

• Start date: 2022-04-30
• Primary completion: 2022-04-30
• Completion: 2022-04-30
• First posted: 2020-07-09
• Last updated: 2022-10-31

Locations

1 site across 1 country: France