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PeekMed announced results of a clinical study, the purpose of which was to determine the accuracy and reliability of measurements produced by the PeekMed pre-operative planning system in generating 3D bone reconstructions from 2D x-rays. For this, an AI-based modeling algorithm was developed and its accuracy was assessed in five cadaveric knees. Each knee underwent examination with plain radiographs and CT scans by a group of specialized engineers. Later, the same measurements were manually performed in the actual bone by orthopedic surgeons.
The findings showed a high level of accuracy, with the majority of the measurements revealing differences of less than 2mm when compared to the measurements performed in the CT scans and manually in the real bones. All inter- and intra-observer parameters were greater than 0.90, which demonstrated excellent reliability and reproducibility. The results obtained in surgical planning with this 3D model were similar to those obtained with a CT scan.
Exact bone sizing and dimension determination are crucial for any pre-operative planning system. These study results present evidence of an AI-based modeling program that uses significantly smaller amounts of data, resources and time to generate 3D bone models for Total Knee
Arthroplasty can eliminate the need for CT scans.
João Pedro Ribeiro, CEO of PeekMed, said, “These findings are an important advancement for PeekMed and for the healthcare value chain in general. CT scans are more expensive than x-rays, besides being less available in the majority of hospitals and producing more radiation for the patient. With the accuracy and reliability confirmed in this clinical study, it is possible to use PeekMed’s AI algorithm to generate 3D
bone models from x-rays which aids the surgical planning. This will help to reach the predictability, effectiveness, and safety that is so important for us while reducing costs for hospitals.”
PeekMed’s 3D pre-operative planning software received FDA 510(k) marketing clearance in 2018.
Source: PeekMed
PeekMed announced results of a clinical study, the purpose of which was to determine the accuracy and reliability of measurements produced by the PeekMed pre-operative planning system in generating 3D bone reconstructions from 2D x-rays. For this, an AI-based modeling algorithm was developed and its accuracy was assessed in five cadaveric knees....
PeekMed announced results of a clinical study, the purpose of which was to determine the accuracy and reliability of measurements produced by the PeekMed pre-operative planning system in generating 3D bone reconstructions from 2D x-rays. For this, an AI-based modeling algorithm was developed and its accuracy was assessed in five cadaveric knees. Each knee underwent examination with plain radiographs and CT scans by a group of specialized engineers. Later, the same measurements were manually performed in the actual bone by orthopedic surgeons.
The findings showed a high level of accuracy, with the majority of the measurements revealing differences of less than 2mm when compared to the measurements performed in the CT scans and manually in the real bones. All inter- and intra-observer parameters were greater than 0.90, which demonstrated excellent reliability and reproducibility. The results obtained in surgical planning with this 3D model were similar to those obtained with a CT scan.
Exact bone sizing and dimension determination are crucial for any pre-operative planning system. These study results present evidence of an AI-based modeling program that uses significantly smaller amounts of data, resources and time to generate 3D bone models for Total Knee
Arthroplasty can eliminate the need for CT scans.
João Pedro Ribeiro, CEO of PeekMed, said, “These findings are an important advancement for PeekMed and for the healthcare value chain in general. CT scans are more expensive than x-rays, besides being less available in the majority of hospitals and producing more radiation for the patient. With the accuracy and reliability confirmed in this clinical study, it is possible to use PeekMed’s AI algorithm to generate 3D
bone models from x-rays which aids the surgical planning. This will help to reach the predictability, effectiveness, and safety that is so important for us while reducing costs for hospitals.”
PeekMed’s 3D pre-operative planning software received FDA 510(k) marketing clearance in 2018.
Source: PeekMed
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JV
Julie Vetalice is ORTHOWORLD's Editorial Assistant. She has covered the orthopedic industry for over 20 years, having joined the company in 1999.
