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Lunate extract: fully automatic acetabular lunate segmentation and hip angle measurements
Sepp De Raedt1,2, Andreas Bentzen1, Inger Mechlenburg1,2,3
1Department of Orthopaedics, Aarhus University Hospital, Aarhus, Denmark.
Acta Radiologica (Stockholm, Sweden : 1987)
|August 19, 2025
Summary
An automated method for analyzing hip dysplasia on CT scans shows high agreement with manual measurements. This technique can improve diagnostic accuracy and surgical planning while reducing analysis time.
Area of Science:
- Radiology and Medical Imaging
- Orthopedic Surgery
- Biomedical Engineering
Background:
- Computed tomography (CT)-derived acetabular angles are crucial for diagnosing hip dysplasia.
- Manual measurements of these angles are time-consuming and prone to significant inter- and intra-operator variability.
- There is a need for an automated method to enhance diagnostic efficiency and consistency.
Purpose of the Study:
- To develop and validate an automated method for segmenting the acetabular lunate surface on CT images.
- To automatically measure key diagnostic angles for hip dysplasia, including center-edge (CE), anterior-sector (AASA), posterior-sector (PASA), acetabular anteversion (AcAV), and acetabular-index (AI).
- To improve the accuracy and efficiency of diagnosis and preoperative planning for hip dysplasia.
Main Methods:
- A novel method was developed to automatically segment the acetabular lunate surface and identify five critical landmark points.
- Diagnostic angles (CE, AASA, PASA, AcAV, AI) were automatically calculated using the segmented surface and landmarks.
- The automated method's performance was validated against repeated manual measurements by three experienced raters on 36 hips from 18 patients.
Main Results:
- The automated method demonstrated high agreement with manual measurements for landmark identification and several key angles (AASA, PASA).
- Intraclass correlation coefficients (ICCs) for all angle measurements ranged from 0.90 to 0.99, indicating excellent reliability.
- While minor statistically significant differences were noted for CE, AI, and AcAV angles with specific raters, overall agreement was high.
Conclusions:
- The developed automated method for acetabular angle measurement shows comparable agreement to manual methods.
- This automated approach has the potential to significantly reduce analysis time per patient.
- The method can provide valuable quantitative data for both the diagnosis of hip dysplasia and surgical planning.
