title: Frontal plane alignment: an imageless method to predict the mechanical femoral-tibial angle (mFTA) based on functional determination of joint centres and axes.
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 + or - 2.3) was not significantly different (p > 0.25) from the CT-mFTA (1.5 + or - 2.1), the Regression-mFTA (4.7 + or - 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 degrees) and agreed better with the CT-mFTA than the Regression-mFTA (R = 0.76; p < 0.001), which had a bias of 3.4 degrees. 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.
authors.affiliation: Julius Wolff Institut and Centre for Musculoskeletal Surgery, Charité - Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany.
authors.forename: Evgenios I
authors.initials: EI
authors.lastname: Kornaropoulos
authors.forename: William R
authors.initials: WR
authors.lastname: Taylor
authors.forename: Georg N
authors.initials: GN
authors.lastname: Duda
authors.forename: Rainald M
authors.initials: RM
authors.lastname: Ehrig
authors.forename: Georg
authors.initials: G
authors.lastname: Matziolis
authors.forename: Michael
authors.initials: M
authors.lastname: Müller
authors.forename: Georgi
authors.initials: G
authors.lastname: Wassilew
authors.forename: Patrick
authors.initials: P
authors.lastname: Asbach
authors.forename: Carsten
authors.initials: C
authors.lastname: Perka
authors.forename: Markus O
authors.initials: MO
authors.lastname: Heller
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D019644:Arthroplasty, Replacement, Hip; D019645:Arthroplasty, Replacement, Knee; D001696:Biomechanical Phenomena; D017760:Bone Malalignment / Q000000981:diagnostic imaging / Q000503:physiopathology*; D005260:Female; D005269:Femur / Q000033:anatomy & histology / Q000000981:diagnostic imaging / Q000503:physiopathology*; D006801:Humans; D021621:Imaging, Three-Dimensional; D007719:Knee Joint / Q000033:anatomy & histology / Q000000981:diagnostic imaging / Q000503:physiopathology*; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D011187:Posture / Q000502:physiology; D018709:Statistics, Nonparametric; D013977:Tibia / Q000033:anatomy & histology / Q000000981:diagnostic imaging / Q000503:physiopathology*; D014057:Tomography, X-Ray Computed