Three‐dimensional femoral head coverage in the standing position represents that measured <i>in vivo</i> during gait

Uemura, Keisuke; Atkins, Penny R.; Maas, Steve A.; Peters, Christopher L.; Anderson, Andrew E.

doi:10.1002/ca.23262

Cited by 14 publications

(19 citation statements)

References 39 publications

(53 reference statements)

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“…One possible reason behind this stems from the instability caused from a decrease in femoral head coverage and/or the demand to make the stride length not only the extension movement, but also the rotation. The result of a previous study [ 33 ] showed that the anterior femoral head coverage decreased during late stance. Most previous reports [ 13 , 14 ] showed that the range in hip extension movement among patients with hip OA decreased during the late stance.…”

Section: Discussionmentioning

confidence: 99%

Coordination Pattern of the Thigh, Pelvic, and Lumbar Movements during the Gait of Patients with Hip Osteoarthritis

Ibara

Anan

Karashima³

et al. 2020

Journal of Healthcare Engineering

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There are limited reports on segment movement and their coordination pattern during gait in patients with hip osteoarthritis. To avoid the excessive stress toward the hip and relevant joints, it is important to investigate the coordination pattern between these segment movements, focusing on the time series data. This study aimed to quantify the coordination pattern of lumbar, pelvic, and thigh movements during gait in patients with hip osteoarthritis and in a control group. An inertial measurement unit was used to measure the lumbar, pelvic, and thigh angular velocities during gait of 11 patients with hip osteoarthritis and 11 controls. The vector coding technique was applied, and the coupling angle and the appearance rate of coordination pattern in each direction were calculated and compared with the control group. Compared with the control group, with respect to the lumbar/pelvic segment movements, the patients with hip osteoarthritis spent more rates in anti-phase and lower rates in in-phase lateral tilt movement. With respect to the pelvic/thigh segment movements, the patients with hip osteoarthritis spent more rates within the proximal- and in-phases for lateral tilt movement. Furthermore, patients with osteoarthritis spent lower rates in the distal-phase for anterior/posterior tilt and rotational movement. Patients with hip osteoarthritis could not move their pelvic and thigh segments separately, which indicates the stiffness of the hip joint. The rotational movement and lateral tilt movements, especially, were limited, which is known as Duchenne limp. To maintain the gait ability, it seems important to pay attention to these directional movements.

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Section: Discussionmentioning

confidence: 99%

Coordination Pattern of the Thigh, Pelvic, and Lumbar Movements during the Gait of Patients with Hip Osteoarthritis

Ibara

Anan

Karashima³

et al. 2020

Journal of Healthcare Engineering

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“…Femoral head coverage was defined as the bony region of the head surface that was covered by the lunate surface of the acetabulum (Uemura, Atkins, Maas, et al, 2018). To quantify coverage, the lunate (Figure 3a) and head surfaces (Figure 3b) were first identified using principal curvature in Postview as described previously (Kapron et al, 2014; Uemura, Atkins, Maas, et al, 2018). The 3D coverage of the femoral head was then quantified using the Coverage Tool in Postview (Uemura, Atkins, Maas, et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

“…To quantify coverage, the lunate (Figure 3a) and head surfaces (Figure 3b) were first identified using principal curvature in Postview as described previously (Kapron et al, 2014; Uemura, Atkins, Maas, et al, 2018). The 3D coverage of the femoral head was then quantified using the Coverage Tool in Postview (Uemura, Atkins, Maas, et al, 2018). Briefly, surface elements of the femoral head were considered “covered” if they were intersected by the normal projection of any element of the lunate surface.…”

Section: Methodsmentioning

confidence: 99%

“…Briefly, surface elements of the femoral head were considered “covered” if they were intersected by the normal projection of any element of the lunate surface. Then, to quantify areal head coverage, the femoral head was divided into four quadrants (anterior, superior, posterior, and inferior) in Matlab (Uemura, Atkins, Maas, et al, 2018). Briefly, the nodes of the femoral head were divided into four regions around the neck axis in 90° increments using the femoral head center, knee center, and femoral neck axis (Figure 3c).…”

Section: Methodsmentioning

confidence: 99%

“…Herein, the neutral position was defined based on the relaxed standing position with the toes of the participant pointed forward (Uemura, Atkins, Fiorentino, et al, 2018). With participants in this position, the spatial position of the pelvis and femur was quantified using DF and MBT as described previously (Kapron et al, 2014; Uemura, Atkins, Fiorentino, et al, 2018; Uemura, Atkins, Maas, et al, 2018). Briefly, images were acquired simultaneously from two fluoroscopes that were positioned to image the same region of the hip from two perspectives.…”

Section: Methodsmentioning

confidence: 99%

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The effect of pelvic tilt on three‐dimensional coverage of the femoral head: A computational simulation study using patient‐specific anatomy

Uemura

Atkins

Peters

et al. 2019

The Anatomical Record

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Improved understanding of how three‐dimensional (3D) femoral head coverage changes as the pelvic sagittal inclination (PSI) is altered would advance clinical diagnosis of hip pathoanatomy. Herein, we applied computer modeling of 3D computed tomography reconstructions of the pelvis and proximal femur to quantify relationships between the PSI and regional 3D femoral head coverage. Eleven healthy, young adult participants with typically developed hip anatomy were analyzed. The orientation of the pelvis was altered to define a PSI of −30° to 30° at 1° increments. Hip adduction and rotation were fixed in a standing position, which was measured by direct in vivo imaging of the pelvis and femur bones using dual fluoroscopy. Femoral head coverage was quantified in the anterior, superior, posterior, and inferior regions for each PSI position. Change in coverage was largest in the anterior region (29.8%) and smallest in the superior region (6.5%). Coverage increased linearly in the anterior region as the PSI increased, while a linear decrease was found in the posterior region and the inferior region (all p < .001). The slopes of the regression line for these regions were 0.513, −0.316, and −0.255, respectively. For the superior region, coverage increased when the PSI was altered from −30° to 5° and decreased when the PSI was larger than 5°. Overall, a 1° increase in PSI resulted in an increase of 0.5% in anterior coverage and a decrease of 0.3% in posterior coverage. Our findings provide baseline data that improve understanding of the effect of PSI on femoral coverage.

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Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip

Atkins

Agrawal

Mozingo

et al. 2021

Journal Orthopaedic Research

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Developmental dysplasia of the hip (DDH) is commonly described as reduced femoral head coverage due to anterolateral acetabular deficiency. Although reduced coverage is the defining trait of DDH, more subtle and localized anatomic features of the joint are also thought to contribute to symptom development and degeneration.These features are challenging to identify using conventional approaches. Herein, we assessed the morphology of the full femur and hemi-pelvis using an articulated statistical shape model (SSM). The model determined the morphological and posebased variations associated with DDH in a population of Japanese females and established which of these variations predict coverage. Computed tomography (CT) images of 83 hips from 47 patients were segmented for input into a correspondence-based SSM. The dominant modes of variation in the model initially represented scale and pose. After removal of these factors through individual bone alignment, femoral version and neck-shaft angle, pelvic curvature, and acetabular version dominated the observed variation. Femoral head oblateness and prominence of the acetabular rim and various muscle attachment sites of the femur and hemipelvis were found to predict 3D CT-based coverage measurements (R 2 = 0.5-0.7 for the full bones, R 2 = 0.9 for the joint). Statement of Clinical Significance: Currently, clinical measurements of DDH only consider the morphology of the acetabulum. However, the results of this study demonstrated that variability in femoral head shape and several muscle attachment sites were predictive of femoral head coverage. These morphological differences may provide insight into improved clinical diagnosis and surgical planning based on functional adaptations of patients with DDH.

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Three‐dimensional femoral head coverage in the standing position represents that measured in vivo during gait

Cited by 14 publications

References 39 publications

Coordination Pattern of the Thigh, Pelvic, and Lumbar Movements during the Gait of Patients with Hip Osteoarthritis

Coordination Pattern of the Thigh, Pelvic, and Lumbar Movements during the Gait of Patients with Hip Osteoarthritis

The effect of pelvic tilt on three‐dimensional coverage of the femoral head: A computational simulation study using patient‐specific anatomy

Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip

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