Morpho-functional Modelling for patientspecific planning in total hip arthroplasty

全髋关节置换术中患者特定规划的形态功能建模

• 批准号: 467867720
• 负责人: Dr.-Ing. Philipp Damm
• 金额: --
• 依托单位: Julius Wolff Institut für Biomechanik und Muskuloskeletale Regeneration (CVK)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/467867720?language=en
• 关键词: Morpho; functional; Modelling; patientspecific; planning

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.

全髋关节置换术是全世界最常见的关节置换术。基于医学图像数据考虑患者特定形态的术前规划是临床常规中的标准程序。虽然从文献中了解到功能参数（如髋关节合力和骨盆矢状倾斜）对于假体最佳对线的重要性，但在临床常规中通常不考虑这些参数。造成这种情况的原因是缺乏足够的技术手段，以及功能分析作为预测这些患者特定术后功能参数的基础所需的额外时间。确定功能参数的一种方法是对个体形态与肌肉骨骼系统功能之间的关系进行建模。髋关节力和骨盆倾斜存在形态功能模型，然而，其有效性和临床相关性的全髋关节置换术的结果预测尚未得到证实。其原因是缺乏足够量的一致的关联的形态和功能患者数据。因此，本项目的目的是研究形态功能模型预测术后功能参数髋关节力和骨盆倾斜的准确性及其与术后临床结局的相关性。健康受试者参数化运动数据的统计建模以及简单的分析模型将用于确定日常生活活动的髋关节力。将使用OrthoLoad数据库中的内固定髋关节植入物的体内数据对这两种方法进行确认。使用200个术前和术后CT和EOS数据集，将功能性骨盆倾斜与骨性骨盆的形态参数相关联。这两个功能参数将被整合到临床计划过程中，该过程将根据200例病例的术后患者相关结局进行评价。