Bone mineral density of the proximal tibia relates to axial torsion in the lower limb

Hudson, David; Royer, Todd D.; Richards, James G.

doi:10.1016/j.gaitpost.2006.11.001

Cited by 11 publications

(9 citation statements)

References 24 publications

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“…The internal structure of 3D proximal tibia of young normal people was simulated to validate the method used in this paper. Comparing the simulated results in Table 1 with the observations in the literature, it can be seen that the average BMD ratio of ROI1 to ROI2 in the simulated result of internal structure of 3D proximal tibia for young normal people is consistent with the result of young healthy people in the same area measured by Hudson et al [47]. Hence with the method used in this paper the BMD distribution of 3D proximal tibia can be simulated more accurately.…”

Section: Discussionsupporting

confidence: 81%

“…From the simulation results of proximal tibia of young normal people it can be seen that the average BMDs in ROI1 and ROI2 are 1.23 g/cm 3 and 1.03 g/cm 3 , and the M:L BMD Ratio is 1.19. While for the same ROIs, the proximal tibial BMDs of 30 young healthy people were measured by Hudson et al [47], and the obtained average M:L BMD Ratio was 1.20 ± 0.10. Thus it can be seen that the simulated M:L BMD Ratio in this paper is consistent with that measured by Hudson et al [47].…”

Section: Resultsmentioning

confidence: 99%

“…While for the same ROIs, the proximal tibial BMDs of 30 young healthy people were measured by Hudson et al [47], and the obtained average M:L BMD Ratio was 1.20 ± 0.10. Thus it can be seen that the simulated M:L BMD Ratio in this paper is consistent with that measured by Hudson et al [47]. It shows that the BMD distribution of 3D proximal tibia for young normal people we simulated is consistent with real proximal tibia.…”

Section: Resultsmentioning

confidence: 99%

“…Figure 3 shows the CT-images of right proximal tibia of a patient, which is used not only to mark the locations of ROIs, but also to compare with the simulated results in Results section. ROI1 and ROI2 are the same as the measuring regions selected by Hudson et al in clinics [47]. Taken fibular head as reference, the height of ROIs is one-half the distance from the fibular head to the superior border of the cortical plate, and its width is one half of tibial plateau.…”

Section: Methodsmentioning

confidence: 99%

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Simulation on the internal structure of three-dimensional proximal tibia under different mechanical environments

et al. 2013

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BackgroundBone can adjust its morphological structure to adapt to the changes of mechanical environment, i.e. the bone structure change is related to mechanical loading. This implies that osteoarthritis may be closely associated with knee joint deformity. The purposes of this paper were to simulate the internal bone mineral density (BMD) change in three-dimensional (3D) proximal tibia under different mechanical environments, as well as to explore the relationship between mechanical environment and bone morphological abnormity.MethodsThe right proximal tibia was scanned with CT to reconstruct a 3D proximal tibia model in MIMICS, then it was imported to finite element software ANSYS to establish 3D finite element model. The internal structure of 3D proximal tibia of young normal people was simulated using quantitative bone remodeling theory in combination with finite element method, then based on the changing pattern of joint contact force on the tibial plateau in valgus knees, the mechanical loading was changed, and the simulated normal tibia structure was used as initial structure to simulate the internal structure of 3D proximal tibia for old people with 6° valgus deformity. Four regions of interest (ROIs) were selected in the proximal tibia to quantitatively analyze BMD and compare with the clinical measurements.ResultsThe simulation results showed that the BMD distribution in 3D proximal tibia was consistent with clinical measurements in normal knees and that in valgus knees was consistent with the measurement of patients with osteoarthritis in clinics.ConclusionsIt is shown that the change of mechanical environment is the main cause for the change of subchondral bone structure, and being under abnormal mechanical environment for a long time may lead to osteoarthritis. Besides, the simulation method adopted in this paper can more accurately simulate the internal structure of 3D proximal tibia under different mechanical environments. It helps to better understand the mechanism of osteoarthritis and provides theoretical basis and computational method for the prevention and treatment of osteoarthritis. It can also serve as basis for further study on periprosthetic BMD changes after total knee arthroplasty, and provide a theoretical basis for optimization design of prosthesis.

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Section: Discussionsupporting

confidence: 81%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Simulation on the internal structure of three-dimensional proximal tibia under different mechanical environments

et al. 2013

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“…Various noninvasive studies have attempted to quantify the alterations in bone anatomy in response to altered mechanical loading using scintigraphy (7), bone densitometry (8–10), fractal radiography (11), and magnetic resonance imaging (MRI) (12). Recently, bone mineral density (BMD) was measured using dual x‐ray absorptiometry (DXA) in the tibial condyles of healthy subjects (13, 14), random populations (15, 16), subjects with radiographic knee OA (17–20), and subjects with symptomatic knee OA (5, 21–24). The advantage of this measurement is that the BMD value increases in the subchondral bone of tibial condyles prior to radiographic progression (15).…”

Section: Introductionmentioning

confidence: 99%

Medial versus lateral condyle bone mineral density ratios in a cross‐sectional study: A potential marker for medial knee osteoarthritis severity

Akamatsu¹,

Mitsugi²,

Taki³

et al. 2012

Arthritis Care & Research

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Objective. To assess the association of bone mineral density (BMD) of the femoral and tibial condyles with knee pain and disease severity in women with symptomatic medial knee osteoarthritis (OA). Methods. We enrolled 192 women (ages 41-90 years) between April 2007 and March 2011. The subjects were divided into 2 groups according to joint space narrowing (JSN) on weight-bearing radiographs. BMD of the lumbar spine, proximal femur, and knee condyles was measured. Medial and lateral condyle BMDs of the femur and tibia as well as the medial versus lateral condyle BMD ratios were measured. Results. Mean medial condyle BMDs, medial versus lateral condyle BMD ratios, and visual analog scale (VAS) pain in both the femur and the tibia were higher in the obliteration group compared with the narrowing group (P < 0.001 for all). A significant positive correlation was observed between the femoral and tibial condyles in the following parameters: medial condyle BMDs, lateral condyle BMDs, and medial versus lateral condyle BMD ratios (r ‫؍‬ 0.791-0.844). In both the femur and the tibia, medial versus lateral condyle BMD ratios had significant positive correlations with femorotibial angle, medial osteophytes, lateral osteophytes, medial JSN, and VAS pain, and had significant negative correlations with the Knee Society pain and function scores. Conclusion. Although this study was a cross-sectional study, the femoral and tibial medial versus lateral condyle BMD ratios increased with more severe knee pain and might be a potential marker for monitoring disease severity in women with symptomatic medial knee OA.

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The effect of tibial rotation on knee medial and lateral compartment contact pressure

Yazdi

Mallakzadeh

Farshidfar

et al. 2014

Knee Surg Sports Traumatol Arthrosc

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Bone mineral density of the proximal tibia relates to axial torsion in the lower limb

Cited by 11 publications

References 24 publications

Simulation on the internal structure of three-dimensional proximal tibia under different mechanical environments

Simulation on the internal structure of three-dimensional proximal tibia under different mechanical environments

Medial versus lateral condyle bone mineral density ratios in a cross‐sectional study: A potential marker for medial knee osteoarthritis severity

The effect of tibial rotation on knee medial and lateral compartment contact pressure

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