Acetabular cartilage defects cause altered hip and knee joint coordination variability during gait

Abstract

Background Patients with acetabular cartilage defects reported increased pain and disability compared to those without acetabular cartilage defects. The specific effects of acetabular cartilage defects on lower extremity coordination patterns are unclear. The purpose of this study was to determine hip and knee joint coordination variability during gait in those with and without acetabular cartilage defects. Methods A combined approach, consisting of a semi-quantitative MRI-based quantification method and vector coding, was used to assess hip and knee joint coordination variability during gait in those with and without acetabular cartilage lesions. Findings The coordination variability of the hip flexion-extension/knee rotation, hip abduction-adduction/knee rotation and hip rotation/knee rotation joint couplings were reduced in the acetabular lesion group compared to the control group during loading response of the gait cycle. The lesion group demonstrated increased variability in the hip flexion-extension/knee rotation and hip abduction-adduction/knee rotation joint couplings, compared to the control group, during the terminal stance/pre-swing phase of gait. Interpretation Reduced variability during loading response in the lesion group may suggest reduced movement strategies and a possible compensation mechanism for lower extremity instability during this phase of the gait cycle. During terminal stance/pre-swing, a larger variability in the lesion group may suggest increased movement strategies and represent a compensation or pain avoidance mechanism caused by the load applied to the hip joint.

Using multidimensional topological data analysis to identify traits of hip osteoarthritis

“…Subjects in subnetwork 2 ambulated with a more extended knee joint compared to the rest of the network and may potentially affect hip joint mechanics as well. Although we did not observe any differences in hip joint mechanics between subnetwork 2 and the rest of the cohort, previous work has shown reduced peak hip extension and external hip flexion moment in subjects with hip OA and suggests sagittal plane hip joint mechanics may be an important factor in disease progression. Similar to the results of our study, previous work has demonstrated reduced knee joint excursions in patients with hip OA.…”

“…Biomechanical data acquisition used in this study is similar to previous work and is briefly described below. A 10‐camera motion capture system (VICON, Oxford Metrics, Oxford, UK) was used to obtain 3D position data at a sampling rate of 250 Hz, while ground reaction forces (GRFs) were obtained simultaneously using two embedded force platforms (AMTI, Watertown, MA) at a sampling rate of 1000 Hz.…”

“…A 10‐camera motion capture system (VICON, Oxford Metrics, Oxford, UK) was used to obtain 3D position data at a sampling rate of 250 Hz, while ground reaction forces (GRFs) were obtained simultaneously using two embedded force platforms (AMTI, Watertown, MA) at a sampling rate of 1000 Hz. Forty‐one retroflective markers were placed at anatomical landmarks and used to track segment position, while subjects walked at a fixed speed (1.35 m/s) . The Visual3D (C‐Motion, Germantown, MD) software was used to calculate lower extremity joint kinematics and moments by using an unweighted least squares method and inverse dynamics, respectively.…”

“…Forty-one retroflective markers were placed at anatomical landmarks and used to track segment position, while subjects walked at a fixed speed (1.35 m/s). 27 The Vis-ual3D (C-Motion, Germantown, MD) software was used to calculate lower extremity joint kinematics and moments by using an unweighted least squares method 28 and inverse dynamics, respectively. Joint angles were normalized to a static calibration trial obtained prior to the gait trials.…”

Joint Loading in the Sagittal Plane During Gait Is Associated With Hip Joint Abnormalities in Patients With Femoroacetabular Impingement

“…All raw marker position and ground-reaction force data were filtered using a fourth-order Butterworth filter at 6 Hz and 50 Hz, respectively. 28 The standing calibration trial was used to create a 7-segment kinematic model consisting of the pelvis, bilateral thighs, shanks, and feet in Visual3D (v5.00.16; C-Motion). Local joint coordinate systems were created, and an unweighted least squares method was used to describe segment position and orientation.…”