Abstract
Introduction
Different classification systems for acetabular deficiencies, including AAOS and Paprosky, are commonly used. Classification of these bone defects is often performed based on Xrays or CT images. Although the amount of bone loss is rarely measured quantitatively in these images, objective and quantitative data on the degree of bone loss could facilitate correct and consistent classification. Recently, a computerized CT-based tool was presented to quantitatively asses bone loss: TrABL (Total radial Acetabular Bone Loss). This study demonstrates on an extended patient population that TrABL combined with standard classification systems provides more detailed, quantitative information on bone defects.
Methods
CT scans of 30 severe acetabular defects, classified Paprosky IIIA and IIIB, were collected and analysed with TrABL. The tool automatically calculated the total amount of bone that was missing around the acetabulum, seen from the hip's original rotation centre. Six anatomical regions were defined for which the degree of bone loss was expressed: anterosuperior, anteroinferior, inferior, posteroinferior, posterosuperior and medial.
Results
Statistical analysis highlighted that total bone loss was highest in the posterosuperior region (63%±27%). Bone loss was lowest inferiorly. No statistical differences were found between the anterosuperior, anteroinferior, posteroinferior, and medial regions. The majority of the defects suffered at least 25% bone loss in more than half of the regions. All defects had at least one region with the same degree of bone loss.
The quantitative 3D data of TrABL provided more information compared to general classification schemes. This information has shown to be crucial during implant selection and preoperative planning for multiple clinical cases.
Conclusion
Classification of acetabular bone deficiencies into existing systems can be refined by the quantitative data provided by TrABL. As a result, the ease and consistency regarding the treatment selection for particular categories of challenging defects will increase.
