Frontal plane alignment: an imageless method to predict the mechanical femoral-tibial angle (mFTA) based on the functional determination of joint centers and axes
Frontal plane alignment: an imageless method to predict the mechanical femoral-tibial angle (mFTA) based on the functional determination of joint centers and axes
Lower limb alignment is important for the internal loading conditions in the knee. In this study, we aimed to evaluate a new imageless, non-invasive method for quantifying frontal plane alignment by direct comparison against CT. To determine the mechanical femoral–tibial angle (mFTA), functional posture analysis was performed in 15 limbs (13 individuals) using previously published methods for the minimisation of skin marker artefact together with the functional identification of joints, and compared against a published regression method. Whilst the average Functional-mFTA (1.3 ± 2.3) was not significantly different (p > 0.25) from the CT-mFTA (1.5 ± 2.1), the Regression-mFTA (4.7 ± 5.6) showed a significant error (p < 0.01). The Functional-mFTA correlated significantly (R = 0.91; p < 0.0001), with a small bias (0.3°) and agreed better with the CT-mFTA than the Regression-mFTA (R = 0.76; p < 0.001), which had a bias of 3.4°. The results demonstrate that the mFTA can be quantified accurately using an imageless, non-invasive functional approach, which also offers greater accuracy over regression methods.These new techniques could provide an accurate, non-invasive approach for quantifying frontal plane alignment, particularly in cases where X-rays may not be available.
Limb alignment, frontal plane alignment, functional methods, mechanical axis, gait analysis
204-208
Kornaropoulos, E.I.
96a58349-6383-4780-92a2-5d60c0edbe58
Taylor, W.R.
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Duda, G.N.
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Ehrig, R.M.
23abc0d9-47bd-427e-8edf-f334e0a87799
Matziolis, Georg
f72a6d41-09bf-40a0-8513-9089a870ed19
Müller, Michael
731566e0-9b1f-46b7-a645-cc7b1ae78161
Wassilew, Georgi
ff65845c-9c85-454e-8057-a23e3288c6f3
Asbach, Patrick
f501d855-edd3-4753-a085-afa24510a52f
Perka, Carsten
50eac0cf-e710-45df-a04b-b8af775eace1
Heller, M.O.
3da19d2a-f34d-4ff1-8a34-9b5a7e695829
February 2010
Kornaropoulos, E.I.
96a58349-6383-4780-92a2-5d60c0edbe58
Taylor, W.R.
4f1cd2b0-4963-4b10-bbde-da586c069e77
Duda, G.N.
32d09622-34ad-49dd-8314-3f61c99a764e
Ehrig, R.M.
23abc0d9-47bd-427e-8edf-f334e0a87799
Matziolis, Georg
f72a6d41-09bf-40a0-8513-9089a870ed19
Müller, Michael
731566e0-9b1f-46b7-a645-cc7b1ae78161
Wassilew, Georgi
ff65845c-9c85-454e-8057-a23e3288c6f3
Asbach, Patrick
f501d855-edd3-4753-a085-afa24510a52f
Perka, Carsten
50eac0cf-e710-45df-a04b-b8af775eace1
Heller, M.O.
3da19d2a-f34d-4ff1-8a34-9b5a7e695829
Kornaropoulos, E.I., Taylor, W.R., Duda, G.N., Ehrig, R.M., Matziolis, Georg, Müller, Michael, Wassilew, Georgi, Asbach, Patrick, Perka, Carsten and Heller, M.O.
(2010)
Frontal plane alignment: an imageless method to predict the mechanical femoral-tibial angle (mFTA) based on the functional determination of joint centers and axes.
Gait & Posture, 31 (2), .
(doi:10.1016/j.gaitpost.2009.10.006).
(PMID:19926482)
Abstract
Lower limb alignment is important for the internal loading conditions in the knee. In this study, we aimed to evaluate a new imageless, non-invasive method for quantifying frontal plane alignment by direct comparison against CT. To determine the mechanical femoral–tibial angle (mFTA), functional posture analysis was performed in 15 limbs (13 individuals) using previously published methods for the minimisation of skin marker artefact together with the functional identification of joints, and compared against a published regression method. Whilst the average Functional-mFTA (1.3 ± 2.3) was not significantly different (p > 0.25) from the CT-mFTA (1.5 ± 2.1), the Regression-mFTA (4.7 ± 5.6) showed a significant error (p < 0.01). The Functional-mFTA correlated significantly (R = 0.91; p < 0.0001), with a small bias (0.3°) and agreed better with the CT-mFTA than the Regression-mFTA (R = 0.76; p < 0.001), which had a bias of 3.4°. The results demonstrate that the mFTA can be quantified accurately using an imageless, non-invasive functional approach, which also offers greater accuracy over regression methods.These new techniques could provide an accurate, non-invasive approach for quantifying frontal plane alignment, particularly in cases where X-rays may not be available.
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More information
Published date: February 2010
Keywords:
Limb alignment, frontal plane alignment, functional methods, mechanical axis, gait analysis
Organisations:
Bioengineering Group
Identifiers
Local EPrints ID: 348526
URI: http://eprints.soton.ac.uk/id/eprint/348526
ISSN: 0966-6362
PURE UUID: 7d7d1246-05b1-4b2f-8d07-877f7634a868
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Date deposited: 14 Feb 2013 15:13
Last modified: 15 Mar 2024 03:43
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Contributors
Author:
E.I. Kornaropoulos
Author:
W.R. Taylor
Author:
G.N. Duda
Author:
R.M. Ehrig
Author:
Georg Matziolis
Author:
Michael Müller
Author:
Georgi Wassilew
Author:
Patrick Asbach
Author:
Carsten Perka
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