Literature DB >> 34651480

[Early effectiveness of computer navigation-assisted total knee arthroplasty].

Houyi Sun1, Kai Zheng1, Weicheng Zhang1, Ning Li1, Lianfang Zhang1, Jun Zhou1, Yaozeng Xu1, Rongqun Li1.   

Abstract

OBJECTIVE: To estimate the early effectivenss of computer navigation-assisted total knee arthroplasty (TKA) by comparing with traditional TKA.
METHODS: The clinical data of 89 patients (100 knees) underwent primary TKA between October 2017 and July 2018 were analyzed retrospectively, including 44 patients (50 knees) who completed the TKA under the computer-assisted navigation system as the navigation group and 45 patients (50 knees) treated with traditional TKA as the control group. There was no significant difference between the two groups ( P>0.05) in gender, age, body mass index, diagnosis, side, disease duration, Kellgren-Lawrence classification of osteoarthritis, and preoperative American Hospital for Special Surgery (HSS) score, range of motion (ROM), hip-knee-ankle angle (HKA) deviation. The operation time, incision length, difference in hemoglobin before and after operation, postoperative hospital stay, and the complications were recorded and compared between the two groups. The HSS score, ROM, and joint forgetting score (FJS-12) were used to evaluate knee joint function in all patients. Unilateral patients also underwent postoperative time of up and go test and short physical performance battery (SPPB) test. At 1 day after operation, the HKA, mechanical lateral distal femoral angle (mLDFA), mechanical medial proximal tibial angle (mMPTA), sagittal femoral component angle (sFCA), and sagittal tibial component angle (sTCA) were measured and calculated the difference between the above index and the target value (deviation); and the joint line convergence angle (JLCA) was also measured.
RESULTS: The operations of the two groups were successfully completed, and the incisions healed by first intention. The operation time and incision length of the navigation group were longer than those of the control group ( P<0.05); the difference in difference of hemoglobin before and after the operation and the postoperative hospital stay between groups was not significant ( P>0.05). Patients in the two groups were followed up 27-40 months, with an average of 33.6 months. Posterior tibial vein thrombosis occurred in 1 case in each of the two groups, and 1 case in the control group experienced repeated knee joint swelling. The HSS scores of the two groups gradually increased after operation ( P<0.05); HSS scores in the navigation group at 1 and 2 years after operation, and knee ROM and FJS-12 scores at 2 years were significantly higher than those in the control group ( P<0.05). There was no significant difference in the postoperative time of up and go test and SPPB results between the two groups at 7 days after operation ( P>0.05); the postoperative time of up and go test of the navigation group was shorter than that of the control group at 2 years ( t=-2.226, P=0.029), but there was no significant difference in SPPB ( t=0.429, P=0.669). X-ray film measurement at 1 day after operation showed that the deviation of HKA after TKA in the navigation group was smaller than that of the control group ( t=-7.392, P=0.000); among them, the HKA deviations of 50 knees (100%) in the navigation group and 36 knees (72%) in the control group were less than 3°, showing significant difference between the two groups ( χ 2=16.279, P=0.000). The JLCA and the deviations of mLDFA, mMPTA, sFCA, and sTCA in the navigation group were smaller than those in the control group ( P<0.05).
CONCLUSION: Compared with traditional TKA, computer navigation-assisted TKA can obtain more accurate prosthesis implantation position and lower limb force line and better early effectiveness. But there is a certain learning curve, and the operation time and incision length would be extended in the early stage of technology application.

Entities:  

Keywords:  Total knee arthroplasty; computer-assisted navigation system; early effectiveness; lower limb alignment

Mesh:

Year:  2021        PMID: 34651480      PMCID: PMC8505940          DOI: 10.7507/1002-1892.202102070

Source DB:  PubMed          Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi        ISSN: 1002-1892


  21 in total

1.  Computer navigation for total knee arthroplasty reduces revision rate for patients less than sixty-five years of age.

Authors:  Richard N de Steiger; Yen-Liang Liu; Stephen E Graves
Journal:  J Bone Joint Surg Am       Date:  2015-04-15       Impact factor: 5.284

2.  Pin track induced fractures around computer-assisted TKA.

Authors:  J Beldame; P Boisrenoult; P Beaufils
Journal:  Orthop Traumatol Surg Res       Date:  2010-04-08       Impact factor: 2.256

3.  What Factors Drive Inpatient Satisfaction After Knee Arthroplasty?

Authors:  Ashwin Peres-da-Silva; Lindsay T Kleeman; Samuel S Wellman; Cynthia L Green; David E Attarian; Michael P Bolognesi; Thorsten M Seyler
Journal:  J Arthroplasty       Date:  2017-02-01       Impact factor: 4.757

Review 4.  Current Role of Computer Navigation in Total Knee Arthroplasty.

Authors:  Christopher W Jones; Seth A Jerabek
Journal:  J Arthroplasty       Date:  2018-01-31       Impact factor: 4.757

Review 5.  Alignment options for total knee arthroplasty: A systematic review.

Authors:  C Rivière; F Iranpour; E Auvinet; S Howell; P-A Vendittoli; J Cobb; S Parratte
Journal:  Orthop Traumatol Surg Res       Date:  2017-08-31       Impact factor: 2.256

6.  Normative Values for the Forgotten Joint Score-12 for the US General Population.

Authors:  Johannes M Giesinger; Henrik Behrend; David F Hamilton; Markus S Kuster; Karlmeinrad Giesinger
Journal:  J Arthroplasty       Date:  2018-12-16       Impact factor: 4.757

7.  Comparison between computer-assisted-navigation and conventional total knee arthroplasties in patients undergoing simultaneous bilateral procedures: a randomized clinical trial.

Authors:  Guo-qiang Zhang; Ji-ying Chen; Wei Chai; Ming Liu; Yan Wang
Journal:  J Bone Joint Surg Am       Date:  2011-07-06       Impact factor: 5.284

8.  Does computer-assisted total knee arthroplasty improve the overall component position and patient function?

Authors:  Charlotte L Allen; Gary J Hooper; Byron J Oram; J Elizabeth Wells
Journal:  Int Orthop       Date:  2013-07-11       Impact factor: 3.075

9.  Usefulness of an accelerometer-based portable navigation system in total knee arthroplasty.

Authors:  T Ikawa; S Takemura; M Kim; K Takaoka; Y Minoda; Y Kadoya
Journal:  Bone Joint J       Date:  2017-08       Impact factor: 5.082

10.  Age, gender, functional KSS, reason for revision and type of bone defect predict functional outcome 5 years after revision total knee arthroplasty: a multivariable prediction model.

Authors:  Jan F M Verbeek; Gerjon Hannink; Koen C Defoort; Ate B Wymenga; Petra J C Heesterbeek
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2019-01-28       Impact factor: 4.342

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