Accuracy of different navigation systems for femoral and tibial implantation in total knee arthroplasty: a randomised comparative study

Saiki, Yoshitomo; Ojima, Tomohiro; Kabata, Tamon; Hayashi, Seigaku; Tsuchiya, Hiroyuki

doi:10.1007/s00402-021-04205-3

Cited by 7 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The laxities of the native knee are not uniform throughout the arc of motion [ 34 ], further suggesting that manual gap balancing techniques may not adequately address imbalances, thus emphasizing the need for a fresh look at soft tissue balancing [ 35 ]. Navigation provides data on a numerical gap, measured laterally and medially in flexion and extension before cuts are made, usually displayed in millimeters [ 36 ]. During a robotic-assisted procedure, the leg is physically manipulated to stress the collaterals in flexion and extension to assess the gap balancing.…”

Section: Discussionmentioning

confidence: 99%

Sensor-guided gap balance versus manual gap balance in primary total knee arthroplasty: a meta-analysis

Sun

Zhao

Lee³

et al. 2022

J Orthop Surg Res

View full text Add to dashboard Cite

Background Despite Vast improvements in technology and surgical technique in total knee arthroplasty (TKA), approximately 15–25% TKAs, have suboptimal subjective clinical outcomes. Our study sought to evaluate if sensor-guided balancing improves postoperative clinical outcomes compared to a conventional gap balancing technique. Methods We searched Web of Science, Embase, PubMed, Cochrane Controlled Trials Register, Cochrane Library, Highwire, CBM, CNKI, VIP, and Wanfang database in March 2022 to identify studies involving sensor-guided balancing versus conventional gap balancing technique in TKA. Finally, we identified 2147 knees assessed in nine studies. Results Compared with manual gap balancing, Sensor-guided gap balancing resulted in less rate of Manipulation under anesthesia (MUA) (P = 0.02), however more rate of intraoperative additional procedures (P = 0.0003). There were no significant differences in terms of KSS (P = 0.21), KSS Function score (P = 0.36), OKS (P = 0.61), KOOS (P = 0.78), operative time (P = 0.17), Mechanical axis (P = 0.69) and rate of reoperation between two groups. Conclusion Compared with conventional manual gap balancing techniques, sensors have more balancing procedures being performed. However, it did result in a reduction in the rate of MUA. More extensive, high-quality RCTs are required to verify our findings further.

show abstract

Section: Discussionmentioning

confidence: 99%

Sensor-guided gap balance versus manual gap balance in primary total knee arthroplasty: a meta-analysis

Sun

Zhao

Lee³

et al. 2022

J Orthop Surg Res

View full text Add to dashboard Cite

show abstract

“…Recent studies support these findings. Saiki et al report that the learning curves between a different imageless CAS and an acceleration-based navigation system for TKA converged within five cases after introduction of these systems into surgical workflow, with ultimate average surgical times of 87.8 min and 87.4 min, respectively [ 30 ]. Meyer et al report that mean surgery duration for navigated TKA was 6 min longer than for conventional TKA [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

The learning curve associated with imageless navigation in total knee arthroplasty

Zabat

Oakley

Marwin

et al. 2022

Arch Orthop Trauma Surg

View full text Add to dashboard Cite

Introduction Computer-assisted navigation systems (CAS) are increasingly being integrated into total knee arthroplasty (TKA) procedures, but perceptions of associated learning curve and increased operative time continue to curtail uptake. Newer-generation navigational systems aim to streamline integration into surgical workflow to mitigate increases in operative time. Here, we assess the impact of a novel imageless CAS on operative time for TKA. Methods A retrospective analysis of prospectively collected data of a cohort of patients undergoing primary unilateral TKA with one of three surgeons between October 2019 and March 2020 was conducted. Consecutive cases using a novel imageless CAS were included in analysis. For each surgeon, average operative time was recorded and compared in sequential five-case cohorts to average operative time for the same procedure performed conventionally using a two-tailed t test. Results Average conventional operative times were 95.9 ± 15.0, 86.6 ± 13.7, and 116.9 ± 25.1 min for the three surgeons. Initial CAS-assisted operative times increased to 107.0 ± 9.8 ( p = 0.07) and 102.4 ± 13.2 ( p = 0.06) min for Surgeons 1 and 2 and decreased to 113.2 ± 9.8 min ( p = 0.52) for Surgeon 3. Most recent CAS-assisted operative times were 94.8 ± 13.9 ( p = 0.88), 88.7 ± 15.3 ( p = 0.84), and 104.8 ± 13.2 ( p = 0.12) min as compared to pre-CAS. Absolute differences for the most recent navigated procedures ranged from 12.1 min faster to 2.0 min slower. Conclusion The learning curve for TKA navigation may be as few as 10 cases, and any associated increases in operative time may be transient and non-significant. Moreover, navigation may ultimately speed operative time, perhaps as the result of enhanced intraoperative assessment of alignment.

show abstract

“…The preoperative variables included patient’s age, sex, body mass index, operated side, primary disease (osteoarthritis or rheumatoid arthritis), history of ipsilateral knee procedure, hemoglobin A1c (HbA1c), FTA, active/passive knee flexion ROM, active/passive knee extension ROM, comfortable/maximum gait speed, and Japanese Orthopedic Association score. The Japanese Orthopedic Association score, an orthopedic method for assessing physical function, consists of 100 points, with higher scores indicating better function [ [21] , [22] , [23] ].…”

Section: Methodsmentioning

confidence: 99%

Machine Learning Algorithm to Predict Worsening of Flexion Range of Motion After Total Knee Arthroplasty

et al. 2022

Self Cite

View full text Add to dashboard Cite

Accuracy of different navigation systems for femoral and tibial implantation in total knee arthroplasty: a randomised comparative study

Cited by 7 publications

References 35 publications

Sensor-guided gap balance versus manual gap balance in primary total knee arthroplasty: a meta-analysis

Sensor-guided gap balance versus manual gap balance in primary total knee arthroplasty: a meta-analysis

The learning curve associated with imageless navigation in total knee arthroplasty

Machine Learning Algorithm to Predict Worsening of Flexion Range of Motion After Total Knee Arthroplasty

Contact Info

Product

Resources

About