Department of Orthopaedics, University Medical Center Utrecht, Utrecht, the Netherlands.
Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.
J Bone Joint Surg Am. 2023 May 3;105(9):700-712. doi: 10.2106/JBJS.22.00890. Epub 2023 Mar 22.
Preoperative planning of lower-limb realignment surgical procedures necessitates the quantification of alignment parameters by using landmarks placed on medical scans. Conventionally, alignment measurements are performed on 2-dimensional (2D) standing radiographs. To enable fast and accurate 3-dimensional (3D) planning of orthopaedic surgery, automatic calculation of the lower-limb alignment from 3D bone models is required. The goal of this study was to develop, validate, and apply a method that automatically quantifies the parameters defining lower-limb alignment from computed tomographic (CT) scans.
CT scans of the lower extremities of 50 subjects were both manually and automatically segmented. Thirty-two manual landmarks were positioned twice on the bone segmentations to assess intraobserver reliability in a subset of 20 subjects. The landmarks were also positioned automatically using a shape-fitting algorithm. The landmarks were then used to calculate 25 angles describing the lower-limb alignment for all 50 subjects.
The mean absolute difference (and standard deviation) between repeat measurements using the manual method was 2.01 ± 1.64 mm for the landmark positions and 1.05° ± 1.48° for the landmark angles, whereas the mean absolute difference between the manual and fully automatic methods was 2.17 ± 1.37 mm for the landmark positions and 1.10° ± 1.16° for the landmark angles. The manual method required approximately 60 minutes of manual interaction, compared with 12 minutes of computation time for the fully automatic method. The intraclass correlation coefficient showed good to excellent reliability between the manual and automatic assessments for 23 of 25 angles, and the same was true for the intraobserver reliability in the manual method. The mean for the 50 subjects was within the expected range for 18 of the 25 automatically calculated angles.
We developed a method that automatically calculated a comprehensive range of 25 measurements that defined lower-limb alignment in considerably less time, and with differences relative to the manual method that were comparable to the differences between repeated manual assessments. This method could thus be used as an efficient alternative to manual assessment of alignment.
Diagnostic Level III . See Instructions for Authors for a complete description of levels of evidence.
下肢矫正手术的术前规划需要通过在医学扫描上放置标志来量化对齐参数。传统上,对齐测量是在二维(2D)站立射线上进行的。为了能够快速准确地进行骨科手术的 3D 规划,需要从 3D 骨骼模型中自动计算下肢对齐。本研究的目的是开发、验证和应用一种从计算机断层扫描(CT)扫描中自动量化定义下肢对齐参数的方法。
对 50 名受试者的下肢 CT 扫描进行手动和自动分割。在 20 名受试者的子集中,将 32 个手动标志两次定位在骨骼分割上,以评估观察者内可靠性。标志也使用形状拟合算法自动定位。然后,使用这些标志为所有 50 名受试者计算了 25 个描述下肢对齐的角度。
手动方法重复测量的平均绝对差值(和标准差)为标志位置为 2.01 ± 1.64mm,标志角度为 1.05°±1.48°,而手动和全自动方法之间的平均绝对差值为标志位置为 2.17 ± 1.37mm,标志角度为 1.10°±1.16°。手动方法需要大约 60 分钟的手动交互,而全自动方法的计算时间为 12 分钟。25 个角度中的 23 个角度的组内相关系数显示手动和自动评估之间具有良好到极好的可靠性,手动方法的观察者内可靠性也是如此。50 名受试者的平均值在 25 个自动计算角度中的 18 个角度的预期范围内。
我们开发了一种方法,可以在更短的时间内自动计算出定义下肢对齐的 25 个全面测量值,并且与手动方法的差异与手动评估的重复之间的差异相当。因此,该方法可以用作对齐手动评估的有效替代方法。
诊断水平 III。有关证据水平的完整说明,请参阅作者说明。