Comprehensive Benchmarking of current Deep Learning Models for Mandibular Segmentation and the Influence of Medical Image Quality, Patient Characteristics and Anatomical Regio

Recruiting

• Conditions: Segmentation of the mandible, which is necessary for radiotherapy, computer-assisted surgery or diagnostics.

• Registration Number: DRKS00032736
• Lead Sponsor: Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2024-04-29
• Last Update Posted: 19 August 2024

Recruitment & Eligibility

• Status: Recruiting
• Sex: All
• Target Recruitment: 20

Inclusion Criteria

Deep learning model developed within the last 5 years
- Deep learning models segments the whole mandible
- Returns a label map or mesh model as output

Exclusion Criteria

- Model is not based on deep learning
- No permission to use the model for this research purpose

Study & Design

• Study Type: observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
What is the influence of image properties (slice thickness) on the accuracy of AI-segmented mandibles measured by DSC? For this purpose, the AI segmentation is compared with a gold standard (manual segmentation by two experts).

Secondary Outcome Measures

Name	Time	Method
- What is the influence of image properties (slice thickness, voxel size XY, sharpness, noise, rotation of mandible in sagittal, axial and coronal direction) on the accuracy of AI-segmented mandibles measured by DSC, NSD, HD95 and MASD? <br>- What impact does the presence of patient characteristics (age, biological sex), bone pathology (fractures, cysts, and the like), osteosynthesis material and dentition (artifacts) have on AI-based segmentation quality measured using DSC, NSD, HD95 and MASD?<br>- Are there differences between CTs and CBCTs on AI-based segmentation quality measured by DSC, NSD, HD95 and MASD?<br>- What is the difference in the AI-based segmentation quality of the mandible in different anatomical regions (Mandibular Condyles, Entrance and exit foramens of IAN, Dentition, Inferior Border of Mandible, Mandibular Body) measured by DSC, NSD, HD95 and MASD?