Vrije Universiteit Brussel (VUB), Experimental Anatomy Research Group (EXAN), Laarbeeklaan 103, 1090 Brussels, Belgium; School of Allied Health, Anglia Ruskin University (ARU), Young Street, CB1 1PT Cambridge, UK.
Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Department of Radiology, Laarbeeklaan 101, 1090 Brussels, Belgium; Vrije Universiteit Brussel (VUB), Department of Electronics and Informatics (ETRO), Pleinlaan 2, 1050 Brussel, Belgium; imec, Kapeldreef 75, 3001 Leuven, Belgium.
Knee. 2023 Oct;44:130-141. doi: 10.1016/j.knee.2023.07.014. Epub 2023 Aug 17.
Imaging the lower limb during weight-bearing conditions is essential to acquire advanced functional joint information. The horizontal bed position of CT systems however hinders this process. The purpose of this study was to validate and test a device to simulate realistic knee weight-bearing motion in a horizontal position during dynamic CT acquisition and process the acquired images.
"Orthostatic squats" was compared to "Horizontal squats" on a device with loads between 35% and 55% of the body weight (%BW) in 20 healthy volunteers. Intraclass Correlation Coefficient (ICC), and standard error of measurement (SEM), were computed as measures of the reliability of curve kinematic and surface EMG (sEMG) data. Afterwards, the device was tested during dynamic CT acquisitions on three healthy volunteers and three patients with patellofemoral pain syndrome. The respective images were processed to extract Tibial-Tuberosity Trochlear-Groove distance, Bisect Offset and Lateral Patellar Tilt metrics.
For sEMG, the highest average ICCs (SEM) of 0.80 (6.9), was found for the load corresponding to 42%BW. Kinematic analysis showed ICCs were the highest for loads of 42%BW during the eccentric phase (0.79-0.87) and from maximum flexion back to 20° (0.76). The device proved to be safe and reliable during the acquisition of dynamic CT images and the three metrics were computed, showing preliminary differences between healthy and pathological participants.
This device could simulate orthostatic squats in a horizontal position with good reliability. It also successfully provided dynamic CT scan images and kinematic parameters of healthy and pathological knees during weight-bearing movement.
在承重条件下对下肢进行成像对于获取高级功能关节信息至关重要。然而,CT 系统的水平床位妨碍了这一过程。本研究的目的是验证和测试一种设备,以在动态 CT 采集过程中模拟水平位置的真实膝关节承重运动,并处理所获得的图像。
在一种设备上,20 名健康志愿者分别进行 35%和 55%体重(%BW)的“直立深蹲”和“水平深蹲”比较。计算曲线运动学和表面肌电图(sEMG)数据的组内相关系数(ICC)和测量标准误差(SEM),以评估曲线运动学和 sEMG 数据的可靠性。然后,在三名健康志愿者和三名髌股疼痛综合征患者进行动态 CT 采集期间对该设备进行了测试。分别对相应的图像进行处理,以提取胫骨结节滑车沟距离、平分线偏移和外侧髌骨倾斜度等指标。
对于 sEMG,在 42%BW 负荷下,平均 ICC(SEM)最高为 0.80(6.9)。运动学分析显示,在偏心阶段,42%BW 负荷下的 ICC 最高(0.79-0.87),从最大屈曲恢复到 20°(0.76)。该设备在动态 CT 图像采集过程中被证明是安全可靠的,计算了三个指标,显示了健康和病理参与者之间的初步差异。
该设备可在水平位置模拟直立深蹲,具有良好的可靠性。它还成功地提供了在承重运动过程中健康和病理膝关节的动态 CT 扫描图像和运动学参数。