Archives of orthopaedic and trauma surgery
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Arch Orthop Trauma Surg · Dec 2021
ReviewRobotic-assisted total knee arthroplasty with the OMNIBot platform: a review of the principles of use and outcomes.
Technology that enables the orthopaedic surgeon to deliver a surgical plan with precision and reproducibility continues to evolve. Robotic TKA represents the next phase of technological development in knee arthroplasty. Multiple propriety robotic platforms are now available for use in TKA, and one such system is the OMNIBotics platform. We conducted a review of this system, reporting its history and principles of use, published outcomes and our own personal experience performing OMNI robotic-assisted TKAs. ⋯ The OMNIBot platform is an imageless, passive robotic system available since 2007, with over 30,000 TKA's being performed with its assistance. It has a small physical footprint, is relatively inexpensive and time efficient. Our review demonstrates a high level of precision of the surgical planning, with a modestly improved accuracy compared to conventional and navigation technology. Published outcomes are limited, however demonstrate good short-term PROM's and survivorship data that compare favourably to other robotic TKA cohorts.
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Arch Orthop Trauma Surg · Dec 2021
Current role of intraoperative sensing technology in total knee arthroplasty.
Sensors have been introduced within the last 10 years to quantify soft tissue balancing during total knee arthroplasty (TKA) and to give the surgeon objective data. These devices are fairly new and their impact on patient outcome remains uncertain. The aim of this systematic review was to summarize all the relevant surgical and clinical results of sensors for TKA. ⋯ Even though the use of the intraoperative sensing technology was not related to an improvement in clinical outcome, the current studies showed that using sensors facilitates the reproduction of natural joint stability, and improves the rate of achieving a balanced knee. Sensor use in complex cases could be particularly valuable, but their use in standard practice remains to be defined.
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Arch Orthop Trauma Surg · Dec 2021
Validation and performance of a machine-learning derived prediction guide for total knee arthroplasty component sizing.
Anticipation of patient-specific component sizes prior to total knee arthroplasty (TKA) is essential to avoid excessive cost associated with additional surgical trays and morbidity associated with imperfect sizing. Current methods of size prediction, including templating, are inconsistent and time-consuming. Machine learning (ML) algorithms may allow for accurate TKA component size prediction with the ability to make predictions in real-time. ⋯ Novel machine learning algorithms demonstrated good to excellent performance for predicting TKA component size. Patient sex appears to contribute an important role in predicting TKA size. A web-based real-time prediction application was created capable of integrating patient specific data to predict TKA size, which will require external validation prior to clinical use.
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Arch Orthop Trauma Surg · Dec 2021
Randomized Controlled TrialAccuracy of different navigation systems for femoral and tibial implantation in total knee arthroplasty: a randomised comparative study.
It remains to be established whether optical computed tomography (CT)-free and acceleration-based navigation systems differ in terms of implantation accuracy and clinical outcomes for total knee arthroplasty. This randomised prospective study compared the implantation accuracy of these two navigation systems in total knee arthroplasty. ⋯ In the tibial sagittal plane, there was a significant difference in the implantation accuracy, but its difference did not affect the clinical outcomes. Both navigation systems have clinically acceptable implantation accuracy.