Wang Yining, Ma Dong, Feng Zhengkuan, Yu Wanqi, Chen Yanjun, Zhong Shizhen, Ouyang Jun, Qian Lei
Guangdong Provincial Key Laboratory of Digital Medicine and Biomechanics and Guangdong Engineering Research Center for Translation of Medical 3D Printing Application and National Virtual and Reality Experimental Education Center for Medical Morphology (Southern Medical University) and National Experimental Education Demonstration Center for Basic Medical Sciences (Southern Medical University) and National Key Discipline of Human Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Department of Medical Imaging, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Front Bioeng Biotechnol. 2023 Jan 25;11:1067600. doi: 10.3389/fbioe.2023.1067600. eCollection 2023.
To use a novel method to simulate a moving hip model. Then, measure the dynamic bone-to-bone distance, and analyze the ischiofemoral space (IFS) of patients diagnosed with ischiofemoral impingement syndrome (IFI) during dynamic activities. Nine healthy subjects and 9 patients with IFI were recruited to collect MRI images and motion capture data. The motion trail of the hip during motion capture was matched to a personalized 3D hip model reconstructed from MRI images to get a dynamic bone model. This personalized dynamic method was then used to simulate the bone motion in dynamic activities. Validation was conducted on a 3D-printed sphere by comparing the calculated data using this novel method with the actual measured moving data using motion capture. Moreover, the novel method was used to analyze the dynamic IFS between healthy subjects and IFI patients during normal and long stride walking. The validation results show that the root mean square error (RMSE) of slide and rotation was 1.42 mm/1.84° and 1.58 mm/2.19°, respectively. During normal walking, the dynamic IFS was significantly larger in healthy hips (ranged between 15.09 and 50.24 mm) compared with affected hips (between 10.16 and 39.74 mm) in 40.27%-83.81% of the gait cycle ( = 0.027). During long stride walking, the dynamic IFS was also significantly larger in healthy hips (ranged between 13.02 and 51.99 mm) than affected hips (between 9.63 and 44.22 mm) in 0%-5.85% of the gait cycle ( = 0.049). Additionally, the IFS of normal walking was significantly smaller than long stride walking during 0%-14.05% and 85.07%-100% of the gait cycle ( = 0.033, 0.033) in healthy hips. However, there was no difference between the two methods of walking among the patients. This study established a novel method to measure the dynamic bone-to-bone distance and was well validated. This method was used to measure the IFS of patients diagnosed with IFI, and the results showed that the IFS of patients is smaller compared with healthy subjects, whether in normal or long stride walking. Meanwhile, IFI eliminated the difference between normal and long stride walking.
采用一种新方法模拟移动髋关节模型。然后,测量动态骨对骨距离,并分析在动态活动中被诊断为坐骨股骨撞击综合征(IFI)患者的坐骨股骨间隙(IFS)。招募了9名健康受试者和9名IFI患者,以收集MRI图像和运动捕捉数据。将运动捕捉过程中髋关节的运动轨迹与从MRI图像重建的个性化3D髋关节模型进行匹配,以获得动态骨模型。然后使用这种个性化动态方法来模拟动态活动中的骨运动。通过将使用这种新方法计算的数据与使用运动捕捉实际测量的移动数据进行比较,在一个3D打印球体上进行了验证。此外,使用该新方法分析了健康受试者和IFI患者在正常和大步行走过程中的动态IFS。验证结果表明,滑动和旋转的均方根误差(RMSE)分别为1.42mm/1.84°和1.58mm/2.19°。在正常行走过程中,在40.27%-83.81%的步态周期内,健康髋关节的动态IFS(范围在15.09至50.24mm之间)明显大于患侧髋关节(范围在10.16至39.74mm之间)(P = 0.027)。在大步行走过程中,在0%-5.85%的步态周期内,健康髋关节的动态IFS(范围在13.02至51.99mm之间)也明显大于患侧髋关节(范围在9.63至44.22mm之间)(P = 0.049)。此外,在健康髋关节的0%-14.05%和85.07%-100%的步态周期内,正常行走的IFS明显小于大步行走(P = 0.033,0.033)。然而,患者的两种行走方式之间没有差异。本研究建立了一种测量动态骨对骨距离的新方法,并得到了很好的验证。该方法用于测量被诊断为IFI患者的IFS,结果表明,无论是在正常行走还是大步行走中,患者的IFS均小于健康受试者。同时,IFI消除了正常行走和大步行走之间的差异。