Total Knee Replacement with iASSIST Navigation System

Lo, Chung Kwan; Li, Hok-Yin; Wong, Yiu-Chung; Wai, Yuk-Leung

doi:10.1016/j.jotr.2016.11.003

Cited by 7 publications

(7 citation statements)

References 10 publications

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“…4,5 Currently, there is still limited amount of literature on this subject, but the results thus far are promising and are at least comparable 7,8,9 or superior in terms of coronal alignment when compared to other navigation systems 10 or conventional techniques. [11][12][13] Overall, comparable results can be demonstrated in cases performed in our center in terms of alignment. The system is also relatively easy to use.…”

Section: Discussionsupporting

confidence: 71%

Comparison of early results of total knee replacement performed with Zimmer iASSIST versus conventional technique

Lai

Tang

Wong

2020

Journal of Orthopaedics, Trauma and Rehabilitation

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Background: Zimmer iASSIST knee is an accelerometer-based navigation system with the aim of achieving better alignment in total knee arthroplasty (TKA). We have started using this system since early 2016. This is a retrospective case–control study, which aims to compare the radiological alignment, operation time, and blood loss of TKAs performed using the iASSIST system and those using conventional techniques. Materials and Methods: 42 TKAs using Zimmer iASSIST and 44 TKAs using conventional instrumentation were recruited. The overall coronal alignment and the coronal and sagittal alignment of the femoral and tibial component were compared. For coronal alignment, additional analysis of the absolute deviation from neutral mechanical axis was performed to avoid canceling out of varus/valgus deviation. The number of outliers, operation time, and blood loss in terms of maximal hemoglobin drop were also compared. Results: When comparing the alignment of the iASSIST group with the conventional group, there were no significant differences ( p > 0.05) in the number of outliers, mean coronal alignments, mean deviation from neutral coronal mechanical axis (2.9° vs. 2.9°), and femoral component flexion angle (4.9° vs. 4.7°). The difference in the mean tibial component posterior slope was significant (5.7° vs. 7.1°, p < 0.05). The mean operation time was significantly longer by 13 min ( p < 0.05) in the iASSIST group. There were no significant differences in the mean hemoglobin drop between the two groups. Conclusion: The results demonstrated no significant differences in terms of coronal radiological alignment, femoral flexion angle, outliers, and blood loss between iASSIST and conventional technique. There was a small but statistically significant difference in tibial posterior slope. The iASSIST group needed a longer operation time.

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Section: Discussionsupporting

confidence: 71%

Comparison of early results of total knee replacement performed with Zimmer iASSIST versus conventional technique

Lai

Tang

Wong

2020

Journal of Orthopaedics, Trauma and Rehabilitation

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“…In fact, the use of surgical navigation systems to execute pre-defined plans based on imaging is now commonplace for a variety of surgical procedures [ 8 ]. An example of this technology is the LumpNav system for breast-conserving surgery (BCS) [ 9 ] or the iASSIST for total knee replacement (TKR) [ 10 ]. Naturally, image-guided robotics is an emerging area of research for procedures that require both active imaging and accurate tool placement, such as laparoscopic radical prostatectomy [ 11 ] or needle ablation [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Bridging 3D Slicer and ROS2 for Image-Guided Robotic Interventions

Connolly

Deguet

Léonard

et al. 2022

Sensors

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Developing image-guided robotic systems requires access to flexible, open-source software. For image guidance, the open-source medical imaging platform 3D Slicer is one of the most adopted tools that can be used for research and prototyping. Similarly, for robotics, the open-source middleware suite robot operating system (ROS) is the standard development framework. In the past, there have been several “ad hoc” attempts made to bridge both tools; however, they are all reliant on middleware and custom interfaces. Additionally, none of these attempts have been successful in bridging access to the full suite of tools provided by ROS or 3D Slicer. Therefore, in this paper, we present the SlicerROS2 module, which was designed for the direct use of ROS2 packages and libraries within 3D Slicer. The module was developed to enable real-time visualization of robots, accommodate different robot configurations, and facilitate data transfer in both directions (between ROS and Slicer). We demonstrate the system on multiple robots with different configurations, evaluate the system performance and discuss an image-guided robotic intervention that can be prototyped with this module. This module can serve as a starting point for clinical system development that reduces the need for custom interfaces and time-intensive platform setup.

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“…The increased operative time with the use of new technology is another area of concern. Although the learning curve of ABN-TKA has not been evaluated thoroughly, several studies have compared the operative time for ABN-TKA and CON-TKA (10,12,15,17,18,20). When considering the time from skin incision to wound closure, Liow et al found that the ABN group had a significantly increased operative time (84 vs. 73 min in CON group) (13).…”

mentioning

confidence: 99%

“…When considering the time from skin incision to wound closure, Liow et al found that the ABN group had a significantly increased operative time (84 vs. 73 min in CON group) (13). In contrast, despite the heterogeneity of surgical factors such as operative experience and learning curve, the majority of studies in the literature did not find a difference in operative duration (10,12,15,17,18,20), which may be attributed to the minor adjustment in surgical technique. Among the few studies analyzing tourniquet time (14,16), none found a significant difference between the ABN and CON groups as well.…”

mentioning

confidence: 99%