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Gepubliceerd in: Journal of Foot and Ankle Research 1/2012

Open Access 01-12-2012 | Oral presentation

How well can skin marker analysis detect the kinematics of a total ankle arthroplasty? - a comparison to videofluoroscopy

Auteurs: Renate List, Hans Gerber, Mauro Foresti, Silvio Lorenzetti, Pascal Rippstein, Edgar Stüssi

Gepubliceerd in: Journal of Foot and Ankle Research | bijlage 1/2012

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Background

Previous in vivo studies on total ankle arthroplasty (TAA) kinematics were mainly performed using skin marker analysis, which has the drawback of skin movement artefacts [1]. A further limitation is the inaccessibility of the talus for attaching markers, thus the impossibility to distinguish tibiotalar from subtalar motion. So far it is not known how well skin marker analysis detects the kinematics of the TAA.

Materials and methods

The kinematics of 11 TAA participants were simultaneously analysed by skin marker and videofluoroscopic assessment during level gait (gt), walking up- (uph) and downhill (dnh). The fluoroscopic data analysis included a 2D/3D registration (error < 0.2° in-plane, <1.3° out-of-plane) [2]. The markerset consisted of 4 rearfoot and 6 shank markers [3]. For both approaches joint rotations were described along the axes of the marker based joint coordinate system. As a descriptor of differentiation the maximal and the root mean square differences (max diff, RMS diff) between skin marker and fluoroscopic joint rotations were calculated over the whole stance phase. Besides, maximal ranges of motion (ROM) were compared using a paired t-test.

Results

Skin marker analysis significantly overestimated sagittal plane ROM of the TAA for 5(gt), 6(uph) and 6(dnh) and underestimated for 1(uph) and 2(dnh) subjects. Frontal plane ROM was significantly overestimated for 7(gt), 8(uph) and 9(dnh) of the 11 subjects. Transverse plane ROM was for 2(uph) and 2(dnh) subjects significantly overestimated, and for 3(gt), 1(uph) and 7(dnh) subjects significantly underestimated by skin markers. For mean RMS diff, mean max diff and mean ROM see Table 1.
Table 1
RMS diff and max diff over the whole stance phase and ROM assessed by videofluoroscopy (fluoro) and skin marker analysis (skin). Mean and SD over all 11 subjects of sagittal (sag), frontal (front) and transverse (trans) plane rotations, * statistically significant difference between fluoro and and skin (p<0.05).
  
Level gait
Uphill
Downhill
  
Sag
Front
Trans
Sag
Front
Trans
Sag
Front
Trans
RMS diff [°]
Mean
± SD
1.5
± 0.7
2.0
± 0.9
2.9
± 1.0
1.5
± 0.6
2.4
± 1.4
2.8
± 1.2
1.7
± 0.6
2.0
± 0.9
3.0
± 1.2
Max diff [°]
Mean
± SD
3.9
± 1.7
4.9
± 2.5
6.8
± 2.7
3.6
± 1.8
5.1
± 2.8
5.7
± 2.2
4.3
± 1.7
4.5
± 1.9
5.7
± 1.9
  
Fluoro
Skin
Fluoro
Skin
Fluoro
Skin
Fluoro
Skin
Fluoro
Skin
Fluoro
Skin
Fluoro
Skin
Fluoro
Skin
Fluoro
Skin
ROM [°]
Mean
± SD
10.0*
± 2.8
11.6*
± 2.9
2.9*
± 1.0
5.8*
± 2.1
8.1*
± 2.9
6.5*
± 2.7
9.6*
± 4.8
11.5*
± 3.3
2.5*
± 0.7
5.6*
± 2.7
6.6
± 2.3
6.8
± 3.2
13.1
± 3.7
14.7
± 2.7
3.0*
± 0.6
5.4*
± 2.1
7.7*
± 2.5
5.7*
± 2.3

Conclusions

The differences between skin marker assessed rearfoot-shank and the fluoroscopic assessed isolated TAA motion were neither consistent between subjects, nor motion planes, nor conditions. For transverse and frontal plane rotations, the maximal differences were in the range of the maximal corresponding ROM. Discrepancies for the sagittal plane were smaller, but still for some subjects, ROM were significantly different.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Literatuur
1.
go back to reference Leardini A, Chiari L, Della Croce U, Cappozzo A: Human movement analysis using stereophoto-grammetry. Part 3. Soft tissue artifact assessment and compensation. Gait Posture. 2005, 21: 212-225. 10.1016/j.gaitpost.2004.05.002. CrossRefPubMed Leardini A, Chiari L, Della Croce U, Cappozzo A: Human movement analysis using stereophoto-grammetry. Part 3. Soft tissue artifact assessment and compensation. Gait Posture. 2005, 21: 212-225. 10.1016/j.gaitpost.2004.05.002. CrossRefPubMed
2.
go back to reference List R, Stacoff A, Foresti M, Gerber H, Stuessi E: An in vivo procedure to quantify 3D kinematics of ankle arthroplasties using videofluoroscopy. J Biomech. 2008, 41: S321- CrossRef List R, Stacoff A, Foresti M, Gerber H, Stuessi E: An in vivo procedure to quantify 3D kinematics of ankle arthroplasties using videofluoroscopy. J Biomech. 2008, 41: S321- CrossRef
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go back to reference List R, Unternährer S, Ukelo T, Wolf P, Stacoff A: Erfassen der Vor- und Rückfussbewegungen im Gehen und Laufen. Sportmed Sporttraumatol. 2008, 56: 43-49. List R, Unternährer S, Ukelo T, Wolf P, Stacoff A: Erfassen der Vor- und Rückfussbewegungen im Gehen und Laufen. Sportmed Sporttraumatol. 2008, 56: 43-49.
Metagegevens
Titel
How well can skin marker analysis detect the kinematics of a total ankle arthroplasty? - a comparison to videofluoroscopy
Auteurs
Renate List
Hans Gerber
Mauro Foresti
Silvio Lorenzetti
Pascal Rippstein
Edgar Stüssi
Publicatiedatum
01-12-2012
Uitgeverij
BioMed Central
Gepubliceerd in
Journal of Foot and Ankle Research / Uitgave bijlage 1/2012
Elektronisch ISSN: 1757-1146
DOI
https://doi.org/10.1186/1757-1146-5-S1-O35