Literature DB >> 19838327

Taguchi loss function for varus/valgus alignment in total knee arthroplasty.

Srinu Kusuma1, Andrew G Urquhart, Richard E Hughes.   

Abstract

Methods of designing equipment to improve quality have been developed by Taguchi. A key feature of these methods is the development of loss function, which quantifies the financial cost (loss) resulting from deviations from target dimensions. Total knee arthroplasties can fail due to prosthetic component malalignment. A Taguchi loss function for varus/valgus alignment of the prosthesis and revision rates was developed. Six studies were identified from a comprehensive literature search. Varus and extreme valgus alignments correlated with an increased percentage of prosthetic failure. A loss function of L( y) = $326.80y(2) , where y was deviation from ideal varus/valgus angle, was determined. The expected loss function was EL=$326.80y 2+s2 , where y was the mean deviance from the ideal varus/valgus angle and s(2) was the variance in varus/valgus angle. This loss function was used to estimate the cost savings of using computer-assisted surgical navigation in total knee arthroplasty (TKA). The average savings of a navigated TKA versus a conventional TKA, based on the expected loss equation derived from the Taguchi loss function, was $2,304 per knee. The expected loss function derived here can serve as a tool for biomedical engineers seeking to use Taguchi quality engineering methods in designing orthopaedic devices.

Entities:  

Keywords:  Taguchi loss function; Total knee arthroplasty; valgus alignment.; varus alignment

Year:  2009        PMID: 19838327      PMCID: PMC2762636          DOI: 10.2174/1874120700903010039

Source DB:  PubMed          Journal:  Open Biomed Eng J        ISSN: 1874-1207


INTRODUCTION

Although healthcare has adopted some techniques for improving quality of care from manufacturing (Total Quality Management and Six Sigma), medicine has not utilized all of the important developments of statistically-based quality improvement methods developed in industry. For example, the methods developed by Dr. Genichi Taguchi [1] in the 1980s for incorporating quality considerations in the design phase have not been widely applied to biomedical device design, especially in orthopaedic applications. A central part of Taguchi’s theory was the development of a “loss function” that relates a part’s deviation from an ideal target value, as opposed to a range of acceptable values, to an increased monetary cost to society. This loss is a continuous function; the further a product’s characteristic varies from the “proper” values, the greater the loss. Taguchi’s methods have proven useful in non-healthcare industries; biomedical engineers engaged in medical device design should also be able to benefit from Taguchi’s ideas. The long-term objective of this research is to develop tools that can be used by orthopaedic implant designers to improve the quality of patient care and improve outcomes for total knee arthroplasty (TKA) surgery. Therefore, the specific objective of this project was to develop a Taguchi expected loss function for varus/valgus alignment of the femoral TKA component.

MATERIALS AND METHODOLOGY

Data from the published literature were used to estimate the parameters of Taguchi’s loss function for TKA. The derivation of the loss function assumes that there is a nonlinear relationship between the deviation from the target value of a design parameter and cost to society (per unit of production) [1]. Taguchi then used a second-order Taylor series expansion of that relationship to develop an approximation that he argued design engineers can use. The Taguchi loss function is where k is a constant of proportionality, x is the actual value of the parameter realized during production of the part, and m is the target value of the parameter. In the TKA application, L is hospital cost, x is the tibiofemoral angle after the prosthesis is implanted (the “production” process modeled here is the TKA surgery), and m is the target tibiofemoral angle. Since the clinically accepted value for m is six degrees, substitute y = x – 6. This gives a loss function of L = ky2, where y is the deviation from the ideal tibiofemoral angle. Due to the quadratic form of this approximation, it is possible to derive an expression for the expected loss (per unit) in terms of the mean, variance, and target of the parameter [1]: where E(L) is the expected loss per unit. and s2 are the mean and variance of the deviation from 6 degrees of valgus tibiofemoral angle in a population of patients having primary TKA surgery, respectively. A comprehensive literature search was conducted for all clinical studies in English and non-English languages that assessed varus and valgus alignment after total knee arthroplasty and revision rates. A total of six studies [2-7] were identified from 1979 to 1994. The characteristics of the studies are presented in Table . Revision rate data published in these studies were converted to probabilities of revision. These probabilities were tabulated with the respective varus-valgus alignment angles. If a revision rate was reported for a range of angles, the midpoint of the range was used in the development of the loss curve. Data in the extreme ranges, given only as greater than or less than a certain angle, were not included. A plot of the deviation from the ideal tibiofemoral angle, with valgus angles as positive values and varus angles as negative values, versus the probability of revision was created for the six studies. Overall, any varus alignment and extreme valgus alignments correlated with an increased percentage of prosthetic failure and higher revision rates. A quadratic cure was fit to the data using a least-squares method. This curve has a vertical offset that represents a baseline probability of revision due to other patient characteristics that are independent of the alignment. The average cost per case for a given alignment angle was computed by multiplying each probability of revision and the average total hospital cost per case for an aseptic revision surgery ($55,911) [8].

RESULTS

The relationship between the probability of revision and tibiofemoral angle is shown in Fig. (). The loss for each TKA surgery using the Taguchi formulation is plotted in Fig. () and is expressed mathematically as L(y) = $326.80y2 where y is deviation from ideal varus/valgus angle. As the TKA deviates from the target alignment, the hospital incurs an increasing monetary cost, since the hospital is charged with the cost of the revision surgery. From the Taguchi loss function, the expected loss in a surgical population from a distribution of prosthesis angles can further be calculated. The expected loss is where is the mean deviance from the ideal varus/valgus angle and s2 is the variance in varus/valgus angle.

DISCUSSION

The purpose of this study was to develop a tool that can be used by a biomedical engineer in the design stage of new orthopaedic technologies to improve TKA surgery. Taguchi’s quality engineering methods are based on the concept of loss and expected loss functions, which link variation to the cost to society. This study presents loss and expected loss functions for tibiofemoral angles in TKA surgery. The significance of the Taguchi loss function to biomedical designers lies in its ability to relate design decisions to cost outcomes for users of the device. For example, one option available to companies marketing TKA navigation systems is to move away from unreliable methods for determining mechanical axes of the knee to methods based on the helical axis of knee motion [9]. The loss function could be used to aid in management and engineering decisions about whether to implement a kinematically-based method of intra-operative axis determination that provides lower variability than manual digitization of landmarks by the surgeon. The method can also be used to estimate the benefit to society of adopting computer-navigation for TKA. The mean malalignment of conventional TKA has been reported to be 2.6 degrees of valgus from the ideal angle, with a standard deviation of 1.7 degrees [10]. The mean malalignment of the computer-navigated TKA has been reported to be 1.4 degrees of valgus from the ideal angle, with a standard deviation of 0.8 degrees [10]. Using the expected loss equation, the expected loss from the conventional TKA is $3,154, whereas the expected loss from the computer-navigated TKA is $850. The average savings of computer-navigated TKAs is $2,304 per knee due to the increase in accuracy and decrease in variation. For comparison, Dong and Buxton [11] used a Markov health-state model to estimate the per case benefit to be ₤583, which would be $1026 in US dollars based on an exchange rate at the date of publication. The development of a Taguchi loss function for total knee arthroplasty has several limitations. First, only varus and valgus malalignments were used in determining the expected loss function and average savings. Second, the coefficient of multiple determination was not high (0.31). Third, the older data used in the model development may not represent the failure rate of newer implant designs. Fourth, the study used only in-hospital costs in the calculation of the loss function. Data for the total cost to society of revision total knee arthroplasties were not available. Thus, hospital costs are used as an approximation for cost to society.

CONCLUSIONS

A critical insight of Taguchi’s theory is that the total expected cost can be reduced by moving the mean closer to the target and reducing variance. Thus, even if the average prosthetic component is aligned properly, cost reductions can be obtained by reducing the variance of the alignment. Variance reduction is a central goal of quality engineering, and Taguchi’s expected loss function highlights how reducing variance can reduce cost to society without changing the mean deviation from an ideal value. A loss function is now available for analyzing tibiofemoral angles in total knee arthroplasty.
Table 1.

Individual Study Characteristics

AuthorYr PublishedYrs StudiedYrs Post-OpStudy SizeDemographicsSurgeryMethodsFailure Criteria
Ritter, et al. [2]19941975-19831-13 yrs351 knees with >1yr follow-upOnly knees with >1 yr follow-up; Out of total 421 surgeries: 113 bilateral; 257 women; 253 with OA, 10 with osteonecrosis, 60 with RAPosterior cruciate condylar TKAStanding AP radiographs at 1 yrRevision or loosening
Jeffrey, et al. [3]19911976-1981>8 years115 knees, 102 patientsAll patients at Queens Alexander Hospital under one surgeon; excluded if no pre-op or post-films, or post-op death due to PEDenham prosthesisRadiographs at full extension

Revision for loosening, or

showed definite clinical and radiological signs of loosening at follow-up

Tew and Waugh [4]19851970-19840.5-9 yrs428 kneesAll TKAs, excluding all hinge prosthesisFreeman, Sheehan, Manchester, Oxford, Kinematic prosthesesClinical coronal tibiofemoral angle using special goniometer with fully-extended arms placed on defined marker points at hip, knee, and ankle; many different surgeons

Removed because of pain or radiographic evidence of technical failure, loosening, bony destruction;

Prosthesis painful, but not removed because no technical failure or patient unfit or unwilling to undergo an operation

Lewallen, et al. [5]19841970-197110 yrs209 knees, 159 patients67% RA, 26% OA, 4% post-traumatic arthritisPolycentric TKA at Mayo ClinicRadiographs

Reoperation for any reason;

unacceptable pain or function

Bargren, et al. [6]19831971-19755.5-9yrs32 kneesReliable patients who faithfully attended follow-up clinicFreeman-Swanson (ICLH); small-area tibial components; no soft tissue release to balance ligaments; attempted to obtain alignment at 0°; no alignment device usedRadiographs of first standing AP and lateral after operation (~6 weeks)Required revision for loosening or instability; had pain at time of evaluation because of loosening or instability
Gibbs, et al. [7]19791972-19752-6 yrs78 knees; 68 surviving knees at time of study59 with RA, 5 with OAFreeman-Swanson (ICLH) Mark IRadiographsDelayed sepsis, loosening of tibial component, pain, painful instability, inadequate flexion, gross tilting of femoral component, patient dissatisfaction
  10 in total

1.  The increasing financial burden of knee revision surgery in the United States.

Authors:  Carlos Lavernia; David J Lee; Victor Hugo Hernandez
Journal:  Clin Orthop Relat Res       Date:  2006-05       Impact factor: 4.176

2.  Early assessment of the likely cost-effectiveness of a new technology: A Markov model with probabilistic sensitivity analysis of computer-assisted total knee replacement.

Authors:  Hengjin Dong; Martin Buxton
Journal:  Int J Technol Assess Health Care       Date:  2006       Impact factor: 2.188

3.  Coronal alignment after total knee replacement.

Authors:  R S Jeffery; R W Morris; R A Denham
Journal:  J Bone Joint Surg Br       Date:  1991-09

4.  A prospective, randomized study of computer-assisted and conventional total knee arthroplasty. Three-dimensional evaluation of implant alignment and rotation.

Authors:  Georg Matziolis; Doerte Krocker; Ulrike Weiss; Stephan Tohtz; Carsten Perka
Journal:  J Bone Joint Surg Am       Date:  2007-02       Impact factor: 5.284

5.  Polycentric total knee arthroplasty. A ten-year follow-up study.

Authors:  D G Lewallen; R S Bryan; L F Peterson
Journal:  J Bone Joint Surg Am       Date:  1984-10       Impact factor: 5.284

6.  Alignment in total knee arthroplasty. Correlated biomechanical and clinical observations.

Authors:  J H Bargren; J D Blaha; M A Freeman
Journal:  Clin Orthop Relat Res       Date:  1983-03       Impact factor: 4.176

7.  Tibiofemoral alignment and the results of knee replacement.

Authors:  M Tew; W Waugh
Journal:  J Bone Joint Surg Br       Date:  1985-08

8.  A comparison of the Freeman-Swanson (ICLH) and Walldius prostheses in total knee replacement.

Authors:  A N Gibbs; G A Green; J G Taylor
Journal:  J Bone Joint Surg Br       Date:  1979-08

9.  The reproducibility of a kinematically-derived axis of the knee versus digitized anatomical landmarks using a knee navigation system.

Authors:  Lisa Case Doro; Richard E Hughes; Joshua D Miller; Karl F Schultz; Brian Hallstrom; Andrew G Urquhart
Journal:  Open Biomed Eng J       Date:  2008-09-10

10.  Postoperative alignment of total knee replacement. Its effect on survival.

Authors:  M A Ritter; P M Faris; E M Keating; J B Meding
Journal:  Clin Orthop Relat Res       Date:  1994-02       Impact factor: 4.176

  10 in total

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