Literature DB >> 33451019

Achieving a Balanced Knee in Robotic TKA.

Alexander C Gordon1, Michael A Conditt2, Matthias A Verstraete2.   

Abstract

Total knee arthroplasty (TKA) surgery with manual instruments provides a quantitatively balanced knee in approximately 50% of cases. This study examined the effect of combining robotics technology with real-time intra-operative sensor feedback on the number of quantitatively balanced cases in a consecutive series of 200 robotic-assisted primary TKAs. The robotics platform was used to plan the implant component position using correctable poses in extension and a manual, centrally pivoting the balancer in flexion, prior to committing to the femoral cuts. During the initial trialing, the quantitative state of balance was assessed using an instrumented tibial tray that measured the intra-articular loads in the medial and lateral compartments. These sensor readings informed a number of surgical corrections, including bone recuts, soft-tissue corrections, and cement adjustments. During initial trialing, a quantitatively balanced knee was achieved in only 65% of cases. After performing the relevant soft-tissue corrections, bone recuts, and cement adjustments, 87% of cases ended balanced through the range of motion. Meanwhile, this resulted in a wide range of coronal alignment conditions, ranging from 6° valgus to 9° varus. It is therefore concluded that gaps derived from robotics navigation are not indicative for a quantitatively balanced knee, which was only consistently achieved when combining the robotics platform with real-time feedback from intra-operative load sensors.

Entities:  

Keywords:  alignment; balancing; robotic total knee arthroplasty

Mesh:

Year:  2021        PMID: 33451019      PMCID: PMC7828562          DOI: 10.3390/s21020535

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  27 in total

1.  Navigation-assisted less invasive total knee arthroplasty compared with conventional total knee arthroplasty: a randomized prospective trial.

Authors:  Jong Keun Seon; Eun Kyoo Song
Journal:  J Arthroplasty       Date:  2006-09       Impact factor: 4.757

2.  The Use of Electronic Sensor Device to Augment Ligament Balancing Leads to a Lower Rate of Arthrofibrosis After Total Knee Arthroplasty.

Authors:  Jeffrey A Geller; Akshay Lakra; Taylor Murtaugh
Journal:  J Arthroplasty       Date:  2016-12-24       Impact factor: 4.757

3.  How Accurately Can Soft Tissue Balance Be Determined in Total Knee Arthroplasty?

Authors:  Samuel J MacDessi; Monther A Gharaibeh; Ian A Harris
Journal:  J Arthroplasty       Date:  2018-10-11       Impact factor: 4.757

4.  Patient-reported outcomes after total and unicompartmental knee arthroplasty: a study of 14,076 matched patients from the National Joint Registry for England and Wales.

Authors:  A D Liddle; H Pandit; A Judge; D W Murray
Journal:  Bone Joint J       Date:  2015-06       Impact factor: 5.082

Review 5.  Intraoperative load-sensing drives the level of constraint in primary total knee arthroplasty: Surgical technique and review of the literature.

Authors:  Salvatore Risitano; Brian Karamian; Pier Francesco Indelli
Journal:  J Clin Orthop Trauma       Date:  2017-06-02

6.  Alignment in total knee arthroplasty.

Authors:  Sam Oussedik; Matthew P Abdel; Jan Victor; Mark W Pagnano; Fares S Haddad
Journal:  Bone Joint J       Date:  2020-03       Impact factor: 5.082

7.  Have the frequency of and reasons for revision total knee arthroplasty changed since 2000? Comparison of two cohorts from the same hospital: 255 cases (2013-2016) and 68 cases (1991-1998).

Authors:  Julien Pietrzak; Harold Common; Henri Migaud; Gilles Pasquier; Julien Girard; Sophie Putman
Journal:  Orthop Traumatol Surg Res       Date:  2019-05-11       Impact factor: 2.256

8.  A New Prediction Model for Patient Satisfaction After Total Knee Arthroplasty.

Authors:  Stefaan Van Onsem; Catherine Van Der Straeten; Nele Arnout; Patrick Deprez; Geert Van Damme; Jan Victor
Journal:  J Arthroplasty       Date:  2016-07-14       Impact factor: 4.757

9.  Soft tissue balancing in total knee arthroplasty using sensor-guided assessment: is there a learning curve?

Authors:  Monther A Gharaibeh; Darren B Chen; Samuel J MacDessi
Journal:  ANZ J Surg       Date:  2018-02-18       Impact factor: 1.872

10.  Objective quantification of ligament balancing using VERASENSE in measured resection and modified gap balance total knee arthroplasty.

Authors:  Kyu-Jin Cho; Jong-Keun Seon; Won-Young Jang; Chun-Gon Park; Eun-Kyoo Song
Journal:  BMC Musculoskelet Disord       Date:  2018-07-27       Impact factor: 2.362

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  2 in total

1.  Tibiofemoral dynamic stressed gap laxities correlate with compartment load measurements in robotic arm-assisted total knee arthroplasty.

Authors:  Richard J Allom; Jil A Wood; Darren B Chen; Samuel J MacDessi
Journal:  Bone Jt Open       Date:  2021-11

2.  Can mobile-bearing unicompartmental knee arthroplasty achieve natural gap-balancing? An observational study with a novel pressure sensor.

Authors:  Shaokui Nan; Zheng Cao; Yue Song; Xiangpeng Kong; Haifeng Li; Wei Chai
Journal:  J Orthop Surg Res       Date:  2022-09-05       Impact factor: 2.677

  2 in total

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