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http://eprints.whiterose.ac.uk/92783/

Version: Accepted Version

Article:

Chen, Z, Wang, L, Liu, Y et al. (4 more authors) (2015) Effect of Component Mal-Rotation

on Knee Loading in Total Knee Arthroplasty Using Multi-Body Dynamics Modeling Under a

Simulated Walking Gait. Journal of Orthopaedic Research, 33 (9). pp. 1287-1296. ISSN

0736-0266

https://doi.org/10.1002/jor.22908

© 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. This is the

peer reviewed version of the following article: "Chen, Z., Wang, L., Liu, Y., He, J., Lian, Q.,

Li, D. and Jin, Z. (2015), Effect of component mal-rotation on knee loading in total knee

arthroplasty using multi-body dynamics modeling under a simulated walking gait. J.

Orthop. Res., 33: 1287–1296" which has been published in final form at

http://dx.doi.org/10.1002/jor.22908. This article may be used for non-commercial purposes

in accordance with Wiley Terms and Conditions for Self-Archiving.

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For Peer Review

!

Zhenxian Chen1, Ling Wang1*, Yaxiong Liu1, Jiankang He1, Qin Lian1, Dichen Li1,

Zhongmin Jin1, 2

1State Key Laboratory for Manufacturing System Engineering, School of Mechanical

Engineering, Xi’an Jiaotong University, 710054, Xi’an, Shaanxi, China

2Institute of Medical and Biological Engineering, School of Mechanical Engineering,

University of Leeds, Leeds, LS2 9JT, UK

*Corresponding author:

Asst. Prof. Ling Wang

Stated Key Laboratory for Manufacturing Systems Engineering, School of Mechanical

Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China

Phone: +0:86:029:83395187

Email: [email protected]

Author Contribution Statement:

Zhenxian Chen, Ling Wang, Yaxiong Liu, Jiankang He, Qin Lian, Dichen Li and Zhongmin

Jin conceived and designed the study. Zhenxian Chen performed the simulation and prepared

the manuscript. Ling Wang and Zhongmin Jin reviewed and edited the manuscript. All

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For Peer Review

2

" # 1

Mal:rotation of the components in total knee arthorplasty (TKA) is a major cause of

2

postoperative complications, with an increased propensity for implant loosening or wear

3

leading to revision. A musculoskeletal multi:body dynamics model was used to perform a

4

parametric study of the effects of the rotational mal:alignments in TKA on the knee loading

5

under a simulated walking gait. The knee contact forces were found to be more sensitive to

6

variations in the varus:valgus rotation of both the tibial and the femoral components and the

7

internal:external rotation of the femoral component in TKA. The varus:valgus mal:rotation of

8

the tibial or femoral component and the internal:external mal:rotation of the femoral

9

component with a 5º variation were found to affect the peak medial contact force by

10

17.8~53.1%, the peak lateral contact force by 35.0~88.4% and the peak total contact force by

11

5.2~18.7%. Our findings support the clinical observations that a greater than 3º internal

12

mal:rotation of the femoral component may lead to unsatisfactory pain levels and a greater

13

than 3º varus mal:rotation of the tibial component may lead to medial bone collapse. These

14

findings determined the quantitative effects of the mal:rotation of the components in TKA on

15

the contact load. The effect of such mal:rotation of the components of TKA on the kinematics

16

would be further addressed in future studies.

17

$ % total knee arthroplasty; mal:rotation; multi:body dynamics; musculoskeletal

18

model; contact force.

19

&' #( ) &(' 20

The fundamental objectives of total knee arthroplasty (TKA) are to restore normal knee joint

21

function and to relieve pain. However, the failure in TKA resulting from clinical error and

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mal:alignment of the components limits the long:term survivorship of such prostheses.

23

Dalury et al.1 retrospectively identified 820 consecutive revision TKAs and found that

24

mal:position/mal:alignment was the seventh highest reason for revision. However,

25

mal:position/mal:alignment also affects joint loading, component loosening and wear so that

26

it may have a much larger effect on revision. For example, mal:rotation of the components in

27

TKA may result in overload in the medial or lateral condyle, bone damage and bone cement

28

crack initiation, severe wear of the polyethylene component, component loosening, and

29

ultimately revision surgery.2, 3 In contrast, good alignment measured against the neutral

30

position (referenced to the mechanical axis to within 2°) after TKA leads to faster

31

rehabilitation and better function.4

32

In previous clinical studies5, the issue of mal:rotation was the most frequently discussed

33

complication in TKA. Mal:rotation of a measurable degree has been found in approximately

34

10–30% of patients with TKA, depending on the surgical technique and the anatomical

35

landmarks used.5 Even in the hands of experienced surgeons, overall coronal mal:alignment

36

(> ±3º from neutral) existed in approximately 28% of the patients.6 Despite the improvements

37

in surgical instruments and techniques as well as implant designs, a large percentage of the

38

causes for revision are directly associated with the mal:position of the components.

39

Conservatively, surgeons directly influenced at least 27% of the early and 18% of the late

40

causes of revision, if the categories of instability and mal:alignment were purely considered1.

41

In particular, variations in the rotational alignment of both the femoral and the tibial

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component of greater than 3º can occur in clinical surgery3. Patients with greater than 3º

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femoral internal rotation would receive a poor outcome after secondary patella resurfacing7

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and suffer unsatisfactory pain levels8. Berend et al.9 found that a greater than 3º varus

45

alignment of the tibial component was associated with medial bone collapse. Additionally, the

46

wear measurement in retrieved inserts indicated that a varus mal:alignment as low as 3º may

47

result in accelerated wear, even if a nearly ideal overall limb alignment was achieved10.

48

Moreover, exceeding ±3º varus/valgus deviation from the mechanical axis has been

49

associated with abnormal stress, deterioration of the prosthesis and aseptic loosening.11

50

However, clinical observations could not explain these unsatisfactory results of such patients.

51

Clinical observations can only retrospectively determine the effect of mal:rotation of the

52

components on pain and functional scores. These are generally qualitative in nature and

53

cannot reveal the changes in joint loading with mal:rotation of the component. The clinical

54

observations should be correlated with the mechanical loading environment around the joint

55

directly.

56

A number of in:vitro studies exist on the effects of component mal:alignment in TKA,

57

e.g., laboratory experiments using cadaver legs in a physiological gait simulator3, along with

58

finite element analysis (FEA)2 and multi:body dynamics (MBD) simulation12. However, the

59

laboratory experimental costs inhibit the performance of multi:parameter analyses. FEA was

60

previously used to investigate only the effect of components mal:alignment on the stress and

61

strain with given boundary conditions (axial loading and joint motion), such that the effect of

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the mal:alignment on the overall knee contact force and motion was neglected. Moreover, the

63

majority of FEA studies do not include a more physiological model associated with detailed

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information of bone, muscles, or ligaments. More recently, a host of musculoskeletal (MSK)

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MBD models with a deformable joint contact have been developed. Most of these models

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have been developed specifically for a cadaveric experiment without considering the whole

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lower limb of the MSK model or the force:producing constraints imposed on the biarticular

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muscles by neighboring joints.12, 13 Furthermore, a number of computational simulations of

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the functional activities can be found on the effects of mal:rotation of the components on the

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knee contact forces, including the squatting motion14, the weight:bearing deep knee bend12

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and the seated open:kinetic:chain knee extension13, but none of these studies have addressed

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normal gait. In our previous study15, the developed MSK MBD model was validated during

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walking gait through comparisons with the measured muscle activations and tibio:femoral

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(TF) contact forces from the instrumented knee prosthesis. However, only the perfectly

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aligned condition was simulated. The effects of the mal:alignment of components on knee

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loading during walking remain unknown.

77

In this study, by using a validated MSK model under a walking gait, our purpose was to

78

quantify how the variations in femoral or tibial rotational alignment influenced the following:

79

(1) the total TF contact force, (2) the medial and lateral contact forces, and (3) the patellar

80

contact force. In addition, the sensitivity of knee contact forces to different mal:rotation of

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the components was further determined.

82

#& ' *(

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Publically available data (https://simtk.org/home/kneeloads)16, collected from an adult female

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implanted with an instrumented knee replacement (mass 78.4 kg, height 167 cm, left knee),

85

were used for this study. A subject:specific lower extremity MSK model, including the left

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leg with the total knee replacement, was constructed in the commercially available MBD

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analysis program AnyBody (version 6.0, Anybody Technology, Aalborg, Denmark) by

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modifying a generic lower extremity MSK model (AnyBody Managed Model Repository

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V1.5.1), which was based on the Twente Lower Extremity Model (TLEM)17 anthropometric

90

database. The subject:specific bone and implant geometries (the femoral component, the

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tibial insert and the patella button), released in the published database16, were

92

imported into AnyBody to replace the existing left leg of the generic MSK model. The other

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segments of the generic MSK model were scaled with respect to the subject’s weight and

94

height as well as the relative positions of the ankle, knee, and hip joints as determined from

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the bone geometries. Six capsular soft tissue structures crossing the tibio:femoral (TF) and

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patello:femoral (PF) joint were included in the left leg of the modified lower extremity MSK

97

model, including the posterior cruciate ligament (PCL), the medial collateral ligament (MCL),

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the lateral collateral ligament (LCL), the postero:medial capsule (PMC), and the medial and

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lateral PF ligaments (MPFL, LPFL). Anterior cruciate ligament (ACL) was removed

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according to the surgery. The ligament forces exerted by the ligament bundles followed a

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nonlinear elastic characteristic with a slack region, and a piecewise force:displacement

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relationship and material parameters for various ligaments were taken from a previous study18

103

and are presented in the Supplementary Materials.

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The left knee of the developed lower extremity MSK model with the implant was

105

simulated via a force:dependent kinematics (FDK) approach19. Two deformable contact

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models were defined between the tibial insert and the femoral component bearing surfaces

107

and between the patellar button and the femoral component. The contact forces for all contact

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pairs were calculated using a linear force:penetration volume law20 with a contact

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of 1.24 × 1011 N/m3 in this study. The was calculated using

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the equations derived by Fregly et al.21, based on the elastic foundation theory; further details

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can be found in our previous study15.

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According to the patient’s surgical report, an instrumented Zimmer NK:II

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cruciate:retaining prosthesis was implanted into the patient using a standard antero:medial

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approach. The tibial bone cut was made at 90º to the long axis in the coronal plane (0º varus)

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and at 90º in the sagital plane (0˚ posterior slope). The distal femoral cut was made at 6º

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valgus to the anatomic axis of the femur. The posterior femoral cut was made at a 3º external

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rotation with reference to the posterior surface of the posterior condyles. These were defined

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as the neutral position of the prosthetic components in the developed lower extremity MSK

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model. The positions of both the femoral and the tibial components were altered with respect

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to the neutral position to investigate the following thirteen mal:alignment cases: neutral, 3º

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and 5º of varus and valgus; 3º and 5º of internal and external rotation; 3º and 5º of anterior

122

tilting and posterior tilting (Fig. 1).

123

The subject:specific gait pattern from an over:ground gait study obtained from the same

124

adult female and measured at the patient’s self:selected speed (approximately 1.0 m/s)16 was

125

used in this study. The corresponding experimental ground reaction forces (GRFs) and

126

marker trajectories were imported into the developed subject:specific lower extremity MSK

127

model in AnyBody. First, with the model scaling, an inverse kinematics analysis was

128

performed to track the marker trajectories during the subject:specific gait. The pelvis and hip

129

angles as well as the foot spatial locations were calculated. Second, an inverse dynamics

130

analysis with the given muscle recruitment criterion was performed. The muscle recruitment

131

problem was solved by minimizing a cubic polynomial cost function as described by John et

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al22. The calculated pelvis and hip angles as well as the foot spatial locations were taken as

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the inputs for the MSK model to simulate the kinetics of the patient’s gait. The TF and PF

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contact forces were predicted from the combination of the GRFs, segment mass, muscle and

135

ligament action in the inverse dynamics analysis. Meanwhile, the six degrees of freedom of

136

the TF joint were left free to equilibrate automatically during the calculation under the effect

137

of external loads and the muscle, ligament, and contact forces in the FDK solver. Next, the

138

inverse dynamics analysis was executed for all mal:rotated cases with respect to the neutral

139

position under the same gait. The effects of various configurations of the component

140

mal:rotations on the total TF contact force, the medial and lateral contact forces, and the

141

patellar contact force were predicted using the developed subject:specific lower extremity

142

MSK model.

143

# )

144

+ ' ,

145

A general overview of the knee contact forces under the neutral position is shown in Fig. 2.

146

The predicted medial and lateral contact forces, total TF contact force, and patellar contact

147

force all varied during a gait cycle, with the maximum corresponding values of

148

approximately 2.5, 1.0, 3.3, and 0.9 times the body weight, respectively. The effects of

149

component mal:rotation were presented in the following, with respect to the predictions

150

based on the neutral position. The changes were examined at maximum load bearing

151

(approximately, 52% of the gait cycle) and peak knee flexion (approximately, 69% of the gait

152

cycle).

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Figure 3 shows the effect of the mal:rotation of the femoral and the tibial components in

155

terms of the varus:valgus, internal:external and anterior:posterior tilting cases on the

156

predicted total TF contact force. The peak total TF contact force at the maximum load bearing

157

was increased by 11.0% at a 5º varus alignment of the tibial insert and increased by 17.9% at

158

a 5º varus alignment of the femoral component. The anterior/posterior tilting mal:rotation of

159

the tibial insert influenced only the total TF contact force during the swing phase of a gait

160

cycle (Fig. 3). The total TF contact force at the peak knee flexion was increased by 14.7% at

161

a 5º anterior tilting of the tibial insert and decreased by 12.6% at a 5º posterior tilting. A

162

similar force change in the first half of the stance phase was 7.9% at a 5º anterior tilting of the

163

tibial insert. However, the total TF contact forces were not sensitive to the variations in the

164

internal/external mal:rotation of the femoral or tibial component and anterior/posterior tilting

165

of the femoral component (Fig. 3). 166

+ 167

Figure 4 shows the effect of the mal:rotation of the femoral and the tibial components on the

168

predicted medial contact force. The medial contact force was sensitive to variations in the

169

varus/valgus mal:rotation from the femoral or tibial components and the internal/external

170

mal:rotation from the femoral component. The peak medial contact force was increased by

171

36.2% at a 5º varus alignment of the tibial insert and increased by 37.9% at a 5º varus

172

alignment of the femoral component. The peak medial contact force was increased by 17.8%

173

at a 5º internal rotation of the femoral component and decreased by 21.3% at a 5º external

174

rotation. The medial contact force at the peak knee flexion was increased by 12.5% at a 5º

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anterior tilting of the tibial insert and decreased by 12.0% at a 5º posterior tilting.

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Figure 5 shows the effect of the femoral and the tibial component mal:rotations on the

178

predicted lateral contact force. The lateral contact force at the maximum load bearing was

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decreased by 68.0% at a 5º varus alignment of the tibial insert and decreased by 40.8% at a 5º

180

varus alignment of the femoral component. In particular, a 5º varus alignment mal:rotation

181

resulted in zero loading on the lateral condyle at 30%, 60% and 90% of the gait cycle. The

182

lateral contact force at the maximum load bearing was decreased by 35.0% at a 5º internal

183

rotation of the femoral component and increased by 38.8% at a 5º external rotation. The

184

lateral contact force at the peak knee flexion was increased by 17.5% at a 5º anterior tilting of

185

the tibial insert and decreased by 13.4% at a 5º posterior tilting.

186

, +

187

Figure 6 shows the effect of the femoral and the tibial component mal:rotations on the

188

predicted patellar contact force. The maximum change of the patellar contact force at the

189

maximum load bearing was increased by 21.9% at a 5º varus alignment of the tibial insert and

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increased by 18.5% at a 5º varus alignment of the femoral component. The maximum change

191

of the patellar contact force at the peak knee flexion was decreased by 11.7% at a 5º internal

192

of the femoral component and increased by 31.4% at a 5º external of the femoral component.

193

The patellar contact forces were not sensitive to the variations in the anterior tilting/posterior

194

tilting mal:rotation from the components in TKA (Fig. 6).

195

The magnitude and percentage changes of each mal:rotation position were examined at the

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maximum load bearing and the peak knee flexion as described in the Supplementary

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Materials.

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- - + +

199

Figure 7 shows the typical changes of the main muscle forces as a result of the varus:valgus

200

mal:rotation of the femoral component. In particular, the peak muscle forces of

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, , and were increased by 11%,

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12%, 19% and 158%, respectively, at a 5º varus alignment of the femoral component. The

203

peak muscle forces of , and were increased by

204

65%, 108% and 98%, respectively, and the peak muscle forces of and

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were decreased to zero at a 5º valgus alignment of the femoral component.

206

However, the muscle forces of , ,

207

, , and were insensitive to the varus:valgus mal:rotation of

208

the femoral component in the TKA.

209

& ) &(' 210

Mal:rotations of the components in TKA have been attributed to several clinical

211

complications. However, the dynamic effects of such variability on joint loading during

212

walking have not been reported in previous studies. This study quantified the effects of the

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mal:rotation of the components in TKA on the knee contact forces during a walking gait

214

using a lower:extremity MSK MBD model.

215

Our findings are consistent with the results of a previous study3, which indicated that a 3º

216

or 5ºvarus:valgus rotation of the tibial insert greatly changed the TF medial:lateral loading

217

distribution. A steep increase (> 36.2%) of load at a 5º varus of the tibial insert at the medial

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plateau would support the previous clinical observation9 that a greater than 3º varus

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alignment of tibial insert was associated with medial bone collapse. Our results also

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12

demonstrated that the effects from a 5º varus mal:rotation of the femoral component were

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slightly greater than those from the tibial insert, especially on the total TF contact force.

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Furthermore, the zero loading on the lateral contact force could be associated with the liftoff

223

of the lateral condyle caused by the varus mal:rotation of the tibial or femoral component.

224

Direct comparison of the predicted load distribution change as a result of the mal:alignment

225

of the components in TKR was not possible with the previous studies. Nevertheless, a

226

previous study by Werner et al3 at a static loading instant when the knee was fully extended

227

indicated a 96% loading shift to the medial compartment at a 5º varus mal:rotation of the

228

tibial insert. This finding was close to the complete shift of the total loading to the medial

229

side of the knee joint at the same instant during a walking cycle predicted from the present

230

dynamics model. Moreover, a previous study 13 found that a 3º internal mal:rotation of the

231

femoral component resulted in a maximum change of the total patellar force of approximately

232

10% during knee flexion.12, 13 In contrast, the predicted maximum effect on the patellar

233

contact force from the present study was 9% due to a 3º internal mal:rotation of the femoral

234

component during the swing phase. Furthermore, the prediction of a greater change in knee

235

contact forces may support the tendency to bias the femoral component into external

236

rotation23, thereby producing reduced TF contact loading and a lower patellar contact force.

237

Although the effect of the tibial internal:external mal:rotation was apparent on only the

238

medial and lateral contact forces during the swing phase (Fig. 4:5), it is still important to

239

avoid excessive mal:rotation of the tibial component to reduce the corresponding effect on

240

the antero:posterior translations23. The relative motion of the femoral component with respect

241

to the tibial insert is equally important as far as wear is concerned; this aspect should be

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investigated in future studies.

243

Femoral or tibial rotational alignments mainly influenced the muscle/ligaments moment

244

arms as well as the contact position on the tibial insert. This influence, in turn, directly

245

contributed to the change of the muscle force, MCL and LCL forces and the load distribution,

246

eventually leading to the changes in the predicted knee contact forces. Our prediction fully

247

illustrated the change of the muscle force resulting from the varus:valgus mal:rotation of the

248

femoral component. In particular, the changes of , ,

249

, , , and

250

eventually altered the TF medial:lateral loading distribution. In addition, the external rotation

251

of the femoral component induced a higher LCL force, whereas the internal rotation tightened

252

the quadriceps and the MCL21. The tightened quadriceps and MCL might help indicate the

253

reported unsatisfactory pain in clinical observations8. Such an imbalanced soft tissue loading

254

resulted in changes in the predicted knee contact forces, especially as the knee moved from

255

flexion into extension. Moreover, the component mal:rotation also led to the variations in the

256

contact position on the tibial insert, which further influenced the predicted knee joint forces

257

and kinematics. This influence can be illustrated with the effect of the anterior:posterior

258

tilting; similar changes occurred in the mid:stance phase and in the swing phase for the

259

medial contact force and the total TF contact force. Such changes resulted from the

260

anterior:posterior contact position variations as a result of the component tilt. Nevertheless,

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the percentage changes during the swing phase appeared to be larger due to the smaller

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magnitude of the total contact load.

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In a previous publication15 comparing the predicted and measured force data, the errors

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14

of 320 N and 181 N were found for the predicted maximum medial and lateral contact forces,

265

respectively. By contrast, the maximum changes of the medial and lateral contact forces from

266

a 5º varus of the tibial insert were 733 N and 441 N, respectively, and from a 5º valgus of the

267

tibial insert were 1076 N and 574 N, respectively. These values provided further confidence

268

in determining the effect of the variability in component alignment on the predicted joint

269

loading. However, the changes resulted from the tibial internal/external mal:rotation and the

270

femoral or tibial anterior:posterior tilting were smaller than the uncertainties; as a result,

271

these results should be interpreted with caution.

272

There are some potential limitations to this study, in addition to the uncertainties in the

273

predicted load from the present MSK MBD model. First, the quadriceps and collateral

274

ligaments may be released during operation for the purpose of the installation and stability in

275

TKA, which may influence muscle and ligament function and property. However, the muscle

276

and ligament model of the present MSK model was not adjusted for different mal:rotation

277

conditions. The effects of the uncertainties of muscle and ligament on joint loading

278

predictions were not considered, which could markedly affect the predicted joint loading.

279

Second, according to many previous studies24:26, joint kinematics and kinetics did not exhibit

280

significant alterations between the pre: and post:operative evaluations, and patients may still

281

retain the pre:surgery gait pattern. Furthermore, all previous musculoskeletal models12:14, 23,

282

FEA models2, 27 and experimental studies3 on the effect of component mal:alignments in TKA

283

on biomechanics have assumed the same input conditions at the neutral position. Therefore,

284

in the present study, small changes in the component alignments were assumed to not affect

285

the motion patterns at the hip or the foot, and the same gait trail was assumed to be used

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throughout all simulated mal:aligned cases. However, we did find marked changes in the

287

knee joint kinematics, particularly in the anterior:posterior translation, and internal:external

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rotation, which will be addressed in more detail in a future study. Third, the use of

289

mechanical, anatomical and kinematic alignment for TKA is under debate28. Our prediction

290

was limited to the surgical error in the mechanical alignment. The effects of the surgical error

291

in anatomical and kinematic alignments on knee joint loading predictions should be

292

investigated in future work. Furthermore, the mal:alignment may influence the implant

293

failure when combined with other variables, such as the patient’s anatomical factors, gait

294

pattern and implant design. Our findings were limited to a single patient with a given implant

295

design. The sensitivity to the patient characteristics and the implant design should be

296

investigated in future work. Despite these limitations, this study demonstrated the advantages

297

of using a computational MSK MBD model to study the effects of variability in component

298

alignment on the predicted knee joint loading.

299

Surgeons should cautiously avoid the mal:rotation of the components by more than 3˚

300

variations; the varus:valgus of the tibial or femoral component and the internal:external

301

mal:rotation of the femoral component with as small as a 3˚ variation in angulation changed

302

the medial:lateral force distribution and total TF contact force markedly.Such investigations

303

may be a key step toward understanding the relationship between surgical parameters and

304

knee joint mechanics, thus providing quantitative guidance for the orthopedic surgeons to

305

improve patient satisfaction.

306

'( ! '

307

This work was supported by the Program of the National Natural Science Foundation of

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China [51205303, 51323007], the National Science & Technology Pillar Program

309

[2012BAI18B00], the Fundamental Research Funds for the Central Universities, and the

310

Research Fund for the Doctoral Program of Higher Education of China (RFDP). The authors

311

also thank Shanghai Gaitech Scientific Instruments Co. Ltd for providing the Anybody

312

software used in this study.

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1. Dalury DF, Pomeroy DL, Gorab RS, Adams MJ. 2013. Why are Total Knee Arthroplasties

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Being Revised? The Journal of arthroplasty 28: 120:121

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2. Liau JJ., Cheng CK, Huang CH, Lo WH. 2002. The effect of malalignment on stresses in

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polyethylene component of total knee prostheses : a finite element analysis. Clinical

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Biomechanics 17: 140:146

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3. Werner FW, Ayers DC, Maletsky LP, Rullkoetter PJ. 2005. The effect of valgus/varus

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malalignment on load distribution in total knee replacements. Journal of biomechanics 38:

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349:355

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4. Longstaff LM, Sloan K, Stamp N, et al. 2009. Good alignment after total knee arthroplasty

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leads to faster rehabilitation and better function. The Journal of arthroplasty 24: 570:578

324

5. Zihlmann MS, Stacoff A, Romero J, et al. 2005. Biomechanical background and clinical

325

observations of rotational malalignment in TKA:: Literature review and consequences.

326

Clinical Biomechanics 20: 661:668

327

6. Ng VY, DeClaire JH, Berend KR, Lombardi Jr AV. 2012. Improved accuracy of alignment

328

with patient:specific positioning guides compared with manual instrumentation in TKA.

329

Clinical Orthopaedics and Related Research® 470: 99:107

330 3

(18)

For Peer Review

7. Bhattee G, Moonot P, Govindaswamy R, et al. 2014. Does malrotation of components

331

correlate with patient dissatisfaction following secondary patellar resurfacing? The Knee 21:

332

247:251

333

8. Bell SW., Young P, Drury C, et al. 2014. Component rotational alignment in unexplained

334

painful primary total knee arthroplasty. The Knee 21: 272:277

335

9. Berend ME, Ritter M A, Meding JB, et al. 2004. The Chetranjan Ranawat Award: Tibial

336

Component Failure Mechanisms in Total Knee Arthroplasty. Clinical orthopaedics and related

337

research 428: 26:34

338

10. Srivastava A, Lee G. Y, Steklov N, et al. 2012. Effect of tibial component varus on wear in

339

total knee arthroplasty. The Knee 19: 560:563

340

11. Chotanaphuti T, Khuangsirikul S, Foojareonyos T. 2014. The accuracy of component

341

alignment in custom cutting blocks compared with conventional total knee arthroplasty

342

instrumentation: Prospective control trial. The Knee 21: 185:188

343

12. Colwell Jr CW, Chen PC, D'Lima D. 2011. Extensor malalignment arising from femoral

344

component malrotation in knee arthroplasty: Effect of rotating–bearing. Clinical

345

Biomechanics 26: 52:57

346

13. Kessler O, Patil S, Colwell Jr CW, D’Lima DD. 2008. The effect of femoral component

347

malrotation on patellar biomechanics. Journal of biomechanics 41: 3332:3339

348

14. Innocenti B, Pianigiani S, Labey L, et al. 2011. Contact forces in several TKA designs

349

during squatting: A numerical sensitivity analysis. Journal of Biomechanics 44: 1573:1581

350

15. Chen Z, Zhang X, Ardestani MM, et al. 2014. Prediction of in vivo joint mechanics of an

351

artificial knee implant using rigid multi:body dynamics with elastic contacts. Proc Inst Mech

352 3

(19)

For Peer Review

18

Eng H 228: 564:575

353

16. Fregly BJ, Besier TF, Lloyd DG, et al. 2012. Grand challenge competition to predict in

354

vivo knee loads. Journal of Orthopaedic Research 30: 503:513

355

17. Horsman K, Koopman H, Van der Helm F, et al. 2007. Morphological muscle and joint

356

parameters for musculoskeletal modelling of the lower extremity. Clinical Biomechanics 22:

357

239:247

358

18. Blankevoort L, Kuiper J, Huiskes R, Grootenboer H. 1991. Articular contact in a

359

three:dimensional model of the knee. Journal of biomechanics 24: 1019:1031

360

19. Andersen MS, Rasmussen J. 2011. Total knee replacement musculoskeletal model using

361

a novel simulation method for non:conforming joints. International Society of Biomechanics

362

Conference. Brussels

363

20. AnyBody. ''Anyscript Reference Manual/AnyForceSurfaceContact''. Anybody

364

Technology, Aalborg, Denmark

365

21. Fregly BJ, Bei YH, Sylvester ME. 2003. Experimental evaluation of an elastic foundation

366

model to predict contact pressures in knee replacements. Journal of Biomechanics 36:

367

1659:1668

368

22. Rasmussen J, Damsgaard M, Voigt M. 2001. Muscle recruitment by the min/max

369

criterion—a comparative numerical study. Journal of Biomechanics 34: 409:415

370

23. Thompson JA, Hast MW, Granger JF, et al. 2011. Biomechanical effects of total knee

371

arthroplasty component malrotation: a computational simulation. Journal of Orthopaedic

372

Research 29: 969:975

373

24. Levinger P, Menz HB, Morrow AD, et al. 2013. Lower Limb Biomechanics in Individuals

374 3

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For Peer Review

With Knee Osteoarthritis Before and After Total Knee Arthroplasty Surgery. The Journal of

375

Arthroplasty 28: 994:999

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25. Bulgheroni P, Bulgheroni M, Ronga M, Manelli A. 2007. Gait analysis of pre:and

377

post:meniscectomy knee: a prospective study. The Knee 14: 472:477

378

26. Smith AJ, Lloyd D, Wood D. 2004. Pre^surgery knee joint loading patterns during

379

walking predict the presence and severity of anterior knee pain after total knee arthroplasty.

380

Journal of Orthopaedic Research 22: 260:266

381

27. Fitzpatrick CK., Clary CW, Rullkoetter PJ. 2012. The role of patient, surgical, and

382

implant design variation in total knee replacement performance. Journal of Biomechanics 45:

383

2092:102

384

28. Cherian JJ, Kapadia BH, Banerjee S, et al. 2014. Mechanical, Anatomical, and Kinematic

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Axis in TKA: Concepts and Practical Applications. Current reviews in musculoskeletal

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medicine 7: 89:95

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+&!)# ! '

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Figure 1 Diagrams of the varying configurations of mal:rotation showing the varus:valgus

389

rotation, internal–external rotation and anterior–posterior tilting of the femoral and tibial

390

component in left TKA.

391

Figure 2 Knee contact force under neutral position as a function of gait cycle (unit: contact

392

force in Newtons/Body Weight).

393

Figure 3 Effects of the mal:rotation of the components in TKA on the total TF contact force

394

for varus/valgus rotation, internal/external rotation and anterior/posterior titling.

395

Figure 4 Effects of the mal:rotation of the components in TKA on the meidal contact force

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For Peer Review

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for varus/valgus rotation, internal/external rotation and anterior/posterior titling.

397

Figure 5 Effects of the mal:rotation of the components in TKA on the lateral contact force for

398

varus/valgus rotation, internal/external rotation and anterior/posterior titling.

399

Figure 6 Effects of the mal:rotation of the components in TKA on the patellar contact force

400

for varus/valgus rotation, internal/external rotation and anterior/posterior titling.

401

Figure 7 Effects of the varus/valgus mal:rotation of the femoral component on the muscle

402

forces.

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References

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