Montreal, Canada-based Emovi, Inc. has announced the U.S. launch of KneeKG, the first in-clinic device that enables physicians to assess knees “while the patient is in motion and weight-bearing.” The machine, which pinpoints biomechanical markers known to be linked to patient’s symptoms, can provide useful data in just 15 minutes.
New Device Pinpoints Knee Pain Sources Better in Minutes
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According to the company, “KneeKG quickly identifies the functional causes linked to knee pain, allowing doctors to better target treatments instead of the current process of elimination method, revolutionizing current knee assessment.”
Furthermore, “KneeKG can pinpoint functional deficits linked to knee osteoarthritis, ligament injuries, instabilities, and anterior knee pain. By providing technical information to doctors with a higher correlation to symptoms and at a fraction of the cost of high-tech scans such as MRIs, the KneeKG allows doctors to significantly improve patients’ quality of life, pain and functional limitations.
“Kinematic information is critical to diagnosing a specific pathologic pattern and developing a focused treatment strategy to restore optimal knee function,” said R. Michael Meneghini, M.D., Orthopedic Surgeon, IU Health Physicians. “KneeKG is uniquely positioned to transform patient care through optimizing outcomes and function, reducing unwarranted interventions and focusing an efficient treatment plan to provide value to patients, physicians, and healthcare organizations.”
Michelle Laflamme, president and CEO of Emovi, Inc. explained how KneeKG can improve outcomes to OTW, “The KneeKG has shown that patients who received treatment recommendations with integrated findings from Knee Kinesiography with KneeKG have greater reduction in symptoms and pain which leads to improved quality of life, improved performance of functional tests, expressed higher satisfaction levels (84% vs 57%), and reduced need for pain medication.”
“Understanding knee kinematic patterns and mechanical deficits can positively transform knee care while reducing the number of interventions and current burden of costs associated with the clinical management of patients living with knee issues.”
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This is a fascinating development. In my practice we've seen similar outcomes with the revised protocol. The key differentiator seems to be patient selection criteria. Has anyone else noticed the correlation with BMI thresholds?
Great point. I'd push back slightly on the conclusion, the sample size in the cited study is too small to draw population-level inferences. That said, the directional signal is compelling and worth a larger RCT.
We implemented a similar approach last year. Early results are promising but we're still gathering 12-month follow-up data. Happy to share our protocol if anyone is interested.
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