Many clinical screening decisions are based on angle measurements. In particular, FemoroAcetabular Impingement (FAI) screening relies on angles traditionally measured on X-rays. However, assessing the height and span of the impingement area requires also a 3D view through an MRI scan. The two modalities inform the surgeon on different aspects of the condition. In this work, we conduct a matched-cohort validation study (89 patients, paired MRI/X-ray) using standard heatmap regression architectures to assess cross-modality clinical equivalence. Seen that landmark detection has been proven effective on X-rays, we show that MRI also achieves equivalent localisation and diagnostic accuracy for cam-type impingement. Our method demonstrates clinical feasibility for FAI assessment in coronal views of 3D MRI volumes, opening the possibility for volumetric analysis through placing further landmarks. These results support integrating automated FAI assessment into routine MRI workflows. Code is released at https://github.com/Malga-Vision/Landmarks-Hip-Conditions

翻译：许多临床筛查决策依赖于角度测量。特别是，股骨髋臼撞击症（FAI）筛查传统上依赖于在X射线上测量的角度。然而，评估撞击区域的高度和范围还需要通过MRI扫描获得三维视图。这两种成像方式为外科医生提供了关于病情的不同方面的信息。在本研究中，我们采用匹配队列验证设计（89名患者，配对MRI/X射线数据），使用标准的热图回归架构来评估跨模态临床等效性。鉴于标志点检测在X射线上已被证明有效，我们证明MRI对于凸轮型撞击也能达到同等的定位和诊断准确性。我们的方法证明了在3D MRI体积的冠状面视图中进行FAI评估的临床可行性，为通过放置更多标志点进行体积分析开辟了可能性。这些结果支持将自动化FAI评估整合到常规MRI工作流程中。代码发布于 https://github.com/Malga-Vision/Landmarks-Hip-Conditions