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Home/Large Joints and Extremities/EOS imaging: 510(k) for kneeEOS
Large Joints and Extremities

EOS imaging: 510(k) for kneeEOS

November 17, 2016 1 min read Premium comments

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EOS imaging: 510(k) for kneeEOS
Courtesy of EOS imaging
Secondary

EOS imaging, known for its 2D/3D orthopedic medical imaging, has announced the receipt of FDA 510(k) clearance to market kneeEOS software in the United States. Now, American surgeons can rely on this online 3D planning software to plan for total knee arthroplasty (TKA). Using weight-bearing 3D images and data from the EOS system, according to the November 7, 2016 news release, “the software makes an initial automatic proposal for the size selection and position of the implant components to facilitate surgical preparation and optimize the alignment in 3D while displaying relevant clinical parameters in real time.”

Marie Meynadier, Ph.D., CEO of EOS imaging, said, “The kneeEOS FDA clearance is an important milestone that allows us to offer our full set of software solutions to the U.S. market. It will support the growing adoption of EOS images, 3D models and patient-specific datasets at each step of the care continuum, helping healthcare providers bring the value of personalized treatments to their patients without the high dose and cost of CT imaging.”

Meynadier told OTW, “kneeEOS targets TKA and is the third surgical planning online software that the company has developed, after hipEOS for THA [total hip arthroplasty] and spineEOS for spine surgery, which was granted FDA approval earlier this year.”

“Challenges in TKA include proper alignment of the leg, which is currently done from planar radiographs that do not reflect properly torsion and flessum, particularly when associated with varus/valgus. kneeEOS utilizes 3D biplanar and 3D images to fully take into account the patient 3D anatomy in planning the component alignment.”

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Discussion

14
DS
Dr. Sarah MitchellOrthopedic Surgeon · Mayo Clinic

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?

8
JT
James Thornton, MDSpine Fellow · HSS

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.

5
RP
R. PatelSports Medicine · Stanford

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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