The Impact of Imaging Modality on the Measurement of Coronal Plane Alignment After Total Knee Arthroplasty

The Impact of Imaging Modality on the Measurement of Coronal Plane Alignment After Total Knee Arthroplasty

Accepted Manuscript The Impact of Imaging Modality on the Measurement of Coronal Plane Alignment Following Total Knee Arthroplasty Denis Nam, MD, MSc,...

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Accepted Manuscript The Impact of Imaging Modality on the Measurement of Coronal Plane Alignment Following Total Knee Arthroplasty Denis Nam, MD, MSc, Sravya Vajapey, BS, Ryan M. Nunley, MD, Robert L. Barrack, MD PII:

S0883-5403(16)00214-X

DOI:

10.1016/j.arth.2016.02.063

Reference:

YARTH 55021

To appear in:

The Journal of Arthroplasty

Received Date: 23 December 2015 Revised Date:

16 February 2016

Accepted Date: 27 February 2016

Please cite this article as: Nam D, Vajapey S, Nunley RM, Barrack RL, The Impact of Imaging Modality on the Measurement of Coronal Plane Alignment Following Total Knee Arthroplasty, The Journal of Arthroplasty (2016), doi: 10.1016/j.arth.2016.02.063. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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The Impact of Imaging Modality on the Measurement of Coronal Plane Alignment Following Total Knee Arthroplasty

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Running Title: Effect of Imaging Modality on Alignment after TKA

Denis Nam, MD, MSc; Sravya Vajapey, BS; Ryan M. Nunley, MD; Robert L. Barrack, MD

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Washington University School of Medicine, Department of Orthopedic Surgery, St. Louis, MO

Please address all correspondence to: Denis Nam, MD, MSc Washington University School of Medicine Department of Orthopedic Surgery 660 S. Euclid Ave., Campus 8233 St. Louis, MO 63110

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The Impact of Imaging Modality on the Measurement of Coronal Plane Alignment Following Total Knee Arthroplasty

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Running Title: Effect of Imaging Modality on Alignment after TKA

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Abstract

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Background

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The optimal coronal alignment following total knee arthroplasty (TKA) has become an area of

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increased debate. Sources of variability amongst investigations include the radiographic

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technique used for both preoperative surgical planning and postoperative alignment assessments.

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This study’s purpose was to assess the impact of the imaging modality used on the measurement

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of coronal plane alignment following TKA.

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Methods

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A consecutive series of patients undergoing TKA using the same cruciate-retaining prosthesis

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were included for analysis. Postoperatively, all patients received both a rotationally controlled,

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scout computed tomography (CT) scan and a hip-knee-ankle image using the EOS Imaging

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system (EOS Inc., Paris, France). Two, independent observers measured the hip-knee-ankle

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(HKA) angle, and femoral and tibial component alignment from each image.

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Results

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After classifying overall and component alignment as neutral, varus, or valgus, 40.6% (65/160)

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of knees had a discordant alignment classification for HKA, 28.1% (45/160) for femoral

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component alignment, and 26.9% (43/160) for tibial component alignment between their CT and

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EOS images. 24.4% (39/160) of patients had a HKA difference of > 3° between the two images,

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while 18.8% (30/160) and 20.0% (32/160) of patients had a femoral and tibial component

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alignment difference of > 2°, respectively.

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Conclusion

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Significant differences are present when comparing two measurement techniques of mechanical

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alignment following TKA. The impact of imaging modality on postoperative assessments must

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be accounted for and be consistent when comparing the results of different investigations.

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Key Words: alignment; total knee arthroplasty; radiographs; biplanar radiography; computed

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tomography

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Introduction

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Traditionally, surgeons have targeted a “neutral” mechanical alignment with tibial and

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femoral components aligned perpendicular to the coronal mechanical axis following total knee

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arthroplasty (TKA)

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neutral and component malpositioning has been associated with increased polyethylene contact

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stresses and early aseptic loosening

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neutral, postoperative mechanical axis alignment in TKA for both implant survivorship and

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clinical outcomes

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the fifteen-year implant survival rate in patients within and outside of a postoperative mechanical

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axis of 0˚ + 3˚ 7. Furthermore, Vanlommel et al., in a retrospective review of 143 TKAs with a

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pre-operative varus alignment, noted patients left in mild varus (3˚ to 6˚) to have superior Knee

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Society Scores and Western Ontario and McMaster Universities Arthritis Indices compared with

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knees corrected to neutral or left in severe varus (>6˚)

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. However, recent data has challenged the importance of a

. Parratte et al., in a review of 398 TKAs, demonstrated no improvement in

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. Failure to restore the overall mechanical alignment to within 3˚ of

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Thus, the optimal target for alignment following TKA remains an area of ongoing debate.

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However, despite this controversy, modifications in surgical technique such as custom cutting

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guides (CCGs)

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with the aim of improving a surgeon’s accuracy in achieving their surgical target. De Steiger et

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al. in a review of the Australian National Joint Registry did note the use of computer navigation

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to reduce the overall rate of revision in patients less than 65 years of age 16, but other

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investigations have failed to demonstrate similar improvements in clinical outcomes and

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surivorship 14,17. In 2012, over 82,000 TKAs were performed worldwide with the use of CCGs

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component alignment versus conventional methods 19. However, the potential benefit of

and computer-assisted navigation devices

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continue to be developed

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, with one proposed benefit being an improvement in postoperative hip-knee-ankle (HKA) and

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improved alignment accuracy with CCGs has not been proven 20-22. One proposed source of

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inaccuracy with the use of CCGs is the use of supine images for preoperative planning 23. While

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3-dimensional imaging is crucial to fabricate cutting guides that fit securely to a patient’s native

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anatomy, failure to incorporate the impact of weight-bearing both in preoperative planning and

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postoperative assessments may be a potential source of inaccuracy when targeting a specific hip-

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knee-ankle alignment. Furthermore, as the majority of studies evaluate postoperative alignment

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using standing, 2-dimensional images, it is possible the discrepancy seen between the

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preoperative plan and alignment achieved postoperatively is related in part to the imaging

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modality used to evaluate postoperative alignment.

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Therefore, the optimal postoperative alignment following TKA and accuracy of surgical

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techniques remain areas of continued investigation, yet comparisons across different studies are

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difficult due to a lack of consistency in assessment methods. Postoperative, mechanical

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alignment has typically been reported using measurement of the HKA from either standing AP

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hip-to-ankle imaging or rotationally controlled scout computed tomography (CT) scans

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However, to our knowledge, whether the outcomes from studies using these two, distinct

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measurement methods can reliably be compared remains unclear. This study’s purpose was to

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assess the impact of the imaging modality used on the measurement of coronal plane alignment

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following TKA thru comparisons of supine, scout CT scans versus standing hip-knee-ankle

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imaging in the same patient following TKA. Our hypothesis is that the imaging modality used

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will have a significant impact on the measurement of a patient’s coronal plane alignment, thus

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limiting the ability to compare data obtained using these two radiographic methods.

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Materials and Methods This was a retrospective review of a consecutive series of patients undergoing primary total knee arthroplasty with the same, cruciate-retaining TKA implant (Vanguard, Biomet Inc.,

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Warsaw, IN, USA) by one of three attending surgeons. All TKAs were performed with the use

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of a conventional, intramedullary femoral alignment guide and extramedullary tibial alignment

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guide. Computer navigation and CCGs were not used in this investigation. Before initiation of

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this study, institutional review board approval was obtained. All patients received both a supine,

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rotationally controlled, scout computed tomography (CT) scan and a standing, hip-knee-ankle

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image using the EOS® X-Ray Imaging Acquisition System (EOS Inc., Paris, France) following

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their TKA, and all implants were well-fixed without signs of radiographic loosening. Patients

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were excluded if they had prior traumatic fractures to the ipsilateral femur, knee, or tibia. Also,

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patients with neuromuscular disorders, congenital anomalies, or ambulatory and/or standing

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difficulties were excluded. Demographic information including age, gender, height, weight, and

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body mass index (BMI) were recorded.

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The CT protocol included image acquisition of the hip, knee, and ankle in the supine position with extremities rotated into a neutral position in order to standardize measurements as

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previously described by Nunley et al. 24. The TKA implant system used in this study has a

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femoral component with two oval holes in the posterior flange to allow for potential placement

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of posterior augments. The limb was rotated until the posterior augment holes were centered

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relative to the anterior flange of the femoral component so that the extremities were in a similar

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degree of rotation in order to minimize its impact on alignment measurements. The EOS

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protocol included image acquisition of the hip, knee, and ankle in the standing position. Care

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was taken to ensure the patellae were facing forward during image acquisition to control for

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rotation. Only the 2-dimensional image obtained using the EOS® system was analyzed as it

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corresponds to a standing, full-length, hip-knee-ankle radiograph obtained using conventional

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radiography 25,26. For both the supine, coronal scout CT and weight-bearing hip-to-ankle images,

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radiographic measurements were performed using previously described methodology 3,7,14.

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Measurements included the hip-knee-ankle angle (HKA), femorotibial angle (FTA), mechanical

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lateral distal femoral angle (mLDFA), mechanical medial proximal tibial angle (mMPTA),

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medial neck-shaft angle (MNSA), tibial bow, tibial length, femoral bow, and femoral length.

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The mechanical femoral axis was defined as the line connecting the center of the femoral head,

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as determined by a best-fit circle, and the midpoint of the widest dimension of the distal femur.

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The mechanical tibial axis was set as the line connecting the center of the tibial spines to the

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center of the talus. The anatomical femoral axis was defined as the line connecting the midpoint

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of the endosteal cortices of the femoral isthmus to the midpoint of the femur 10 cm proximal to

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the joint line. Similarly, the anatomical tibial axis was determined as the line connecting the

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midpoint of the midshaft of the tibia to the midpoint of the tibia 10 cm distal to the joint line

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The hip-knee-ankle angle was determined as the angle between the mechanical axes of the femur

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and tibia 9. The femorotibial axis was the angle between the anatomic axes of the femur and

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tibia. For convention, the HKA and FTA values were expressed as a deviation from 180° with a

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negative value for varus and positive value for valgus alignment (Figure 1). The mMPTA was

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determined as the medial angle between the mechanical tibial axis and the joint line of the

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proximal tibial component and the mLDFA was defined as the lateral angle between the

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mechanical femoral axis and the joint line of the distal femur component (Figure 2) 28. For

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convention, varus/valgus component measurements were recorded as the difference between the

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measurement angle and 90°, with negative values representing a varus alignment (i.e. -0.5°

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represents a component in 0.5° of varus relative to the mechanical axis). Methods for measuring

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the medial neck-shaft angle, tibial bow, tibial length, femoral bow, and femoral length have been

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previously described and are presented in Table 1 29,30. Two, independent observers measured all

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radiographs and the results were assessed for inter-observer reliability.

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For each image, a HKA <-3° was considered varus, neutral between -3° and 3°, and

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valgus >3°. Additionally, when assessing alignment of the tibial and femoral component, a value

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of <-2° was considered varus, neutral between -2° and 2°, and valgus >2°. These values were

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chosen to maintain consistency with the definitions of varus and valgus established by clinical

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outcomes and survivorship studies evaluating coronal alignment following TKA 3,7,14.

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Statistical Analysis:

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All data was collected and analyzed using Microsoft Excel software (Microsoft Corporation, Redmond, WA, USA). Independent sample t-tests were used to compare mean

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radiographic alignments between the two imaging methods, while Chi-square tests were used to

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compare the percentage of patients with a neutral HKA or component alignment. A p-value

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<0.05 was considered statistically significant. The percentage of patients with discordant

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classifications (i.e. neutral on the CT image, but varus on the hip-knee-ankle image) for HKA,

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tibial, or femoral component alignment between the two imaging methods was determined.

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Correlation coefficients were calculated to determine interobserver variability between

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measurers. The association between patient demographics and morphologic anatomy with

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differences between the two imaging methods was also determined - morphologic measurements

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(i.e. medial neck-shaft angle, tibial length, tibial bow, etc.) were taken from the standing, EOS

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images. Correlation coefficients were graded using a previously described semi-quantitative

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criteria: excellent for 0.9 < r < 1.0, good for 0.7 < r < 0.89, fair/moderate for 0.5 < r < 0.69, low

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for 0.25 < r < 0.49, and poor for 0.0 < r < 0.24

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Results One hundred sixty patients (73 left, 87 right) who received both a supine, rotationally controlled, scout CT scan and a standing, EOS, hip-knee-ankle image were available for

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analysis. Patients had a mean age of 66.4 + 9.6 years, height of 168.3 + 11.7 cm, weight of 91.8

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+ 19.4 kg, and BMI of 32.5 + 6.4 kg/m2. Interobserver reliability was excellent between the two,

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independent observers for all radiographic measurements performed (r=0.90-0.96).

The mean HKA alignment measured on CT images was 1.3° + 2.7° versus -0.05° + 3.3°

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on EOS images (p<0.001). The mean difference for HKA alignment for each patient between the

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two imaging methods was 1.4° + 2.5°, with 24.4% of patients having a HKA difference of

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greater than 3 degrees when comparing their supine, CT versus standing, EOS images. The

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correlation for HKA alignment between the two imaging methods was fair/moderate (r=0.67).

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When classifying the HKA alignment as varus, valgus, or neutral, 67.5% (108/60) of patients had

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a neutral, HKA alignment on their CT image versus 60.0% (96/160) on the EOS image (p=0.2).

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A significant proportion of patients had discordant classifications for HKA alignment as 40.6%

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(65/160) of subjects had a discordant classification on their supine, CT image versus their

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standing, EOS image (e.g. a neutral HKA alignment on the CT image, but varus HKA alignment

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on the EOS image) (Table 2).

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The mean femoral component alignment measured on CT images was -0.3° + 2.3° versus

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-0.8° + 2.5° on EOS images (p=0.06). The mean difference for femoral component alignment

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for each patient between the two imaging methods was 0.4° + 1.5°, with 5.0% of patients having

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a femoral component difference greater than 3 degrees, and 18.8% of patients having a

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difference greater than 2 degrees when comparing their supine, CT versus standing, EOS images.

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The correlation for femoral component alignment between the two imaging methods was good

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(r=0.79). When classifying the femoral component alignment as varus, valgus, or neutral, 60.0%

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(96/160) of patients had a neutral femoral component alignment on their CT image versus 62.5%

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(100/160) on their EOS image (p=0.6). 28.1% (45/160) of subjects had a discordant

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classification on their supine, CT image versus their standing, EOS image (Figure 3).

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The mean tibial component alignment measured on CT images was 1.2° + 2.0° versus 0.6° + 1.7° on EOS images (p=0.004). The mean difference for tibial component alignment for

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each patient between the two imaging methods was 0.6° + 1.6°, with 5.6% of patients having a

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tibial component difference greater than 3 degrees, and 20.0% of patients having a difference

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greater than 2 degrees when comparing their supine, CT versus standing, EOS images. The

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correlation of tibial component alignment between the two imaging methods was fair/moderate

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(r=0.65). When classifying the tibial component alignment as varus, valgus, or neutral, 63.8%

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(102/160) of patients had a neutral tibial component alignment on their CT image versus 73.1%

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(117/160) on their EOS image (p=0.07). 26.9% (43/160) of subjects had a discordant

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classification on their supine, CT image versus their standing, EOS image (Figure 4).

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Alignment differences for the HKA, mLDFA, mMPTA between the two imaging

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modalities were not associated with patient height, weight, body mass index, medial neck-shaft

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angle, tibial bow, tibial length, femoral bow, or femoral length (r= -0.14 to 0.15).

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Discussion The optimal postoperative mechanical alignment following total knee arthroplasty

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continues to be an area of investigation and debate, as traditional targets of a neutral, mechanical

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axis and joint line perpendicular to the coronal, mechanical axis have been questioned 7-10. As

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the number of studies assessing the impact of postoperative alignment on clinical outcomes

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continues to increase, it becomes increasingly difficult to formulate a consensus as varying forms

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of measuring alignment are reported. Similarly, in the assessment of the accuracy of new

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surgical techniques such as custom cutting guides, determining the true accuracy of these

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techniques remains difficult due to various methods of evaluation. The purpose of this study was

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to assess the impact of the imaging modality used on the measurement of coronal plane

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alignment following TKA. We hypothesized that the imaging modality used would have a

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significant impact on the measurement of a patient’s overall mechanical and component

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alignment. This study demonstrates that significant differences are present when comparing the

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use of supine versus standing images in the measurement of coronal alignment. Thus, this

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difference must be accounted for during postoperative assessments of total knee arthroplasty.

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our results. As with all radiographic assessments of coronal plane alignment, it is known that

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rotational attitudes can affect standard measurements of limb alignment 32,33; thus, variability in

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lower extremity rotation could contribute to our findings. However, a detailed, uniform protocol

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was followed for each measurement technique that attempted to minimize this variability.

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Furthermore, the possibility that rotation contributes to variability between supine and weight-

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bearing images only strengthens the argument for a standardized method of postoperative

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radiographic assessment. Second, this study is unable to elucidate which method is most

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accurate in measuring coronal alignment, as currently there is no gold standard for comparison.

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However, this was not the purpose of this investigation, as this study demonstrates a proof-of-

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principle that the imaging modality used can drastically affect the measurement of coronal

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alignment. As standing images incorporate the impact of weight-bearing, soft tissue balance, and

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potentially represent a more functional position, we propose that this method may be more useful

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rather than supine imaging.

To our knowledge, few studies have investigated the impact of the specific imaging

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modality on lower limb coronal alignment. Winter et al. analyzed 45 knees who received both

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pre-operative standing full-length radiographs and supine magnetic resonance imaging in

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patients undergoing patient specific TKA with the use of CCGs. They found the mean difference

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in coronal alignment between the two techniques to be 2° with supine images under-estimating

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the degree of deformity in 69% of cases 34. In addition, Clarke et al. assessed coronal alignment

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in 30 asymptomatic controls and 31 patients following TKA using a non-invasive infrared

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position capture system when going from the supine to standing position. They found a trend

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towards increased varus when assuming a standing position with a mean difference of

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approximately 1.8° 35. Our investigation demonstrates similar findings with a mean difference in

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HKA alignment between supine, CT and standing, EOS images to be approximately 1.4°.

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However, our study contributes to this pre-existing literature as we included a significantly

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greater number of patients and also evaluated the potential impact of weight-bearing on the

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measurement of overall alignment following TKA.

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The results of this study can be interpreted in several ways. First, this study clearly

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demonstrates the imaging method used to have a significant impact on the measurement and

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classification (neutral, varus, valgus) of alignment following TKA. Of note, as suggested by

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Parratte et al. 7, describing alignment as a categorical variable based on achievement of an axis

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within 3° of neutral may be of little utility, and assessment of survivorship based on alignment as

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a continuous variable is likely of greater significance. However, our results also demonstrate a

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significant percentage of patients to have a difference in HKA alignment of greater than 3°, and

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femoral and tibial component alignment differences of greater than 2° when comparing their

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supine, CT versus standing, EOS images. Thus, the differences seen in imaging modalities

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extend beyond simple, categorical descriptions of varus, valgus, and neutral. Thus, we question

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whether prior investigations measuring alignment can accurately be compared which limits the

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ability to develop a consensus of optimal alignment following TKA. Furthermore, it limits the

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ability to consistently assess the accuracy of surgical techniques such as custom cutting guides.

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For example, studies evaluating the accuracy of CCGs have used both standing, weight-bearing

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images 12 and supine, CT imaging

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Thus, whether the outcomes of these studies can accurately be compared remains a concern.

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Second, regarding CCGs, a potential source of inaccuracy is that weight-bearing is not accounted

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for during preoperative planning. As 3-dimensional imaging in the supine position is most

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commonly used to fabricate CCGs, weight-bearing and functional alignment is not taken into

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consideration during preoperative planning. While weight-bearing should not significantly

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impact tibial and femoral component alignment in the coronal plane if rotation is adequately

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controlled, the contributions of ligamentous laxity and stability are not being accounted for

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during preoperative planning. Due to variations in the soft tissue envelope, ligamentous

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integrity, and intraoperative technique, is will be difficult to predict a patient’s postoperative

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alignment without some form of preoperative, standing image. Furthermore, the discrepancy

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seen in the preoperative plan and alignment achieved postoperatively may be related to the use of

for alignment measurements with conflicting results.

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different imaging modalities for preoperative planning versus during the measurement of

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postoperative alignment.

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In conclusion, this study confirms our hypothesis that the imaging modality used will have a significant impact on the measurement of coronal plane alignment and demonstrates the

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necessity for a standardized method of postoperative assessment following total knee

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arthroplasty. When classifying alignment as neutral, varus, or valgus, 40.6% of patients for the

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HKA, 28.1% for the femoral component, and 26.9% for the tibial component alignment had

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discordant classifications when comparing a supine, CT image to a standing, EOS image. The

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impact of the imaging modality used for both preoperative planning and postoperative

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assessments must be accounted for and be consistent when comparing the results of different

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investigations.

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Radiographic Measurement

Definition

Medial Neck-Shaft Angle (°°)

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The angle formed by a line drawn through the center of the femoral shaft, and a line from the center of the femoral head through the center of the femoral neck

The distance from the center of the tibial plateau to the center of the tibial plafond

Tibial Bow (mm)

The perpendicular distance between the anatomic axis of the tibia and the center of the talus

Femoral Length (mm)

The distance from the center of the femoral head to the distal femoral intercondylar notch

Femoral Bow (mm)

The difference between the hip lateral offset and the femoral bow offset.

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Tibial Length (mm)

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The hip lateral offset was measured as the perpendicular distance (mm) between the center of the femoral head, and a line drawn through the center of the femoral shaft originating 10 cm below the tip of the lesser trochanter.

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The femoral bow offset was the perpendicular distance (mm) from the center of the femoral head, and the anatomic axis of the femur drawn from the center of the distal third of the femur above the knee (10cm above the most distal aspect of the femur).

Table 1: Table summarizing the methodology of measuring the medial neck-shaft angle, tibial length, tibial bow, femoral length, and femoral bow.

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Supine, CT Image

Standing, EOS Image

108 (67.5%)

96 (60.0%)

Varus

11 (6.9%)

36 (22.5%)

Valgus

41 (25.6%)

28 (17.5%)

Hip-Knee-Ankle Alignment Neutral

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0.2

% Discordant

40.6%

Femoral Component Alignment Neutral

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Valgus

24 (15.0%)

47 (29.4%) 13 (8.1%)

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40 (25.0%)

100 (62.5%)

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96 (60.0%)

Varus

% Discordant Tibial Component Alignment Neutral

117 (73.1%)

Varus

7 (4.4%)

10 (6.3%)

Valgus

51 (31.9%)

33 (20.6%)

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102 (63.8%)

% Discordant

p-value/ discordance

28.1%

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26.9%

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Table 2: Table summarizing classifications of hip-knee-ankle, femoral, and tibial component alignment on the CT and EOS images. Values are presented as the absolute number followed by the percentage in parentheses.

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FIGURE LEGEND: Figure 1: Postoperative, standing EOS radiograph demonstrating measurement of the hip-knee-

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ankle alignment. This was measured to be 177.2° or 2.8° of valgus. Figure 2: Postoperative radiographs demonstrating measurement of tibial and femoral

component alignment relative to each, respective mechanical axis. The tibial component was

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measured to be in 1.3° of valgus (A) and the femoral component in 1.8° of valgus (B).

Figure 3: Postoperative radiographs in the same patient demonstrating a femoral component

measured on a standing, EOS image (B).

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alignment of 3.2° of valgus when measured on a supine, CT image (A) and 0.9° of varus when

Figure 4: Postoperative radiographs in the same patient demonstrating a tibial component alignment of 3.2° of valgus when measured on a supine, CT image (A) and 0.4° of varus when

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measured on a standing, EOS image (B).

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