Morpho-functional Modelling for patientspecific planning in total hip arthroplasty

• Applicants: Privatdozent Dr.-Ing. Philipp Damm; Professor Dr.-Ing. Klaus Radermacher
• Subject Area: Orthopaedics, Traumatology, Reconstructive Surgery ; Medical Physics, Biomedical Technology
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 467867720

Total hip arthroplasty is the most frequent joint replacement worldwide. Preoperative planning considering patient specific morphology on the basis of medical image data is a standard procedure in clinical routine. Although the high importance of functional parameters, such as the resulting hip joint force and the sagittal pelvic tilt, for the optimal alignment of the prosthesis is well known from literature, these parameters are usually not considered in clinical routine. The reasons for this are the lack of adequate technical means and the additional time needed for functional analysis as a basis for a prediction of these patient-specific postoperative functional parameters. One approach to determine the functional parameters is to model the relationship between the individual morphology and the function of the musculoskeletal system. Morpho-functional modeling exists for the hip joint force and the pelvic tilt, however, its validity and clinical relevance for outcome prediction in total hip arthroplasty is not proven. The reason for this is a lack of a sufficient amount of consistent linked morphological and functional patient data. Therefore, the objectives of this project are to investigate the accuracies of morpho-functional models for the prediction of the postoperative functional parameters hip joint forces and pelvic tilt and its correlation with the postoperative clinical outcome. Statistical modelling of parameterized motion data of healthy subjects as well as simple analytical models will be used for the determination of the hip joint force for activities of daily living. Both methods will be validated with in vivo data of instrumented hip implants from the OrthoLoad database. Functional pelvic tilt will be correlated with morphological parameters of the bony pelvis using 200 pre- and postoperative CT- and EOS-datasets. Both functional parameters will be integrated into a clinical planning process that will evaluated based on postoperative patient related outcomes of the 200 cases.

• DFG Programme: Research Grants