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High Degree of Accuracy of a Novel Image-free Handheld Robot for Unicondylar Knee Arthroplasty in a Cadaveric Study

Identifieur interne : 003129 ( Ncbi/Merge ); précédent : 003128; suivant : 003130

High Degree of Accuracy of a Novel Image-free Handheld Robot for Unicondylar Knee Arthroplasty in a Cadaveric Study

Auteurs : Jess H. Lonner [États-Unis] ; Julie R. Smith [Royaume-Uni, États-Unis] ; Frederic Picard [Royaume-Uni] ; Brian Hamlin [États-Unis] ; Philip J. Rowe [Royaume-Uni] ; Philip E. Riches [Royaume-Uni]

Source :

RBID : PMC:4390929

Abstract

Background

Surgical robotics has been shown to improve the accuracy of bone preparation and soft tissue balance in unicondylar knee arthroplasty (UKA). However, although extensive data have emerged with regard to a CT scan-based haptically constrained robotic arm, little is known about the accuracy of a newer alternative, an imageless robotic system.

Questions/purposes

We assessed the accuracy of a novel imageless semiautonomous freehand robotic sculpting system in performing bone resection and preparation in UKA using cadaveric specimens.

Methods

In this controlled study, we compared the planned and final implant placement in 25 cadaveric specimens undergoing UKA using the new tool. A quantitative analysis was performed to determine the translational, angular, and rotational differences between the planned and achieved positions of the implants.

Results

The femoral implant rotational mean error was 1.04° to 1.88° and mean translational error was 0.72 to 1.29 mm across the three planes. The tibial implant rotational mean error was 1.48° to 1.98° and the mean translational error was 0.79 to 1.27 mm across the three planes.

Conclusions

The image-free robotic sculpting tool achieved accurate implementation of the surgical plan with small errors in implant placement. The next step will be to determine whether accurate implant placement translates into a clinical and functional benefit for the patient.


Url:
DOI: 10.1007/s11999-014-3764-x
PubMed: 25002214
PubMed Central: 4390929

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PMC:4390929

Le document en format XML

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<title>Background</title>
<p>Surgical robotics has been shown to improve the accuracy of bone preparation and soft tissue balance in unicondylar knee arthroplasty (UKA). However, although extensive data have emerged with regard to a CT scan-based haptically constrained robotic arm, little is known about the accuracy of a newer alternative, an imageless robotic system.</p>
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<sec>
<title>Questions/purposes</title>
<p>We assessed the accuracy of a novel imageless semiautonomous freehand robotic sculpting system in performing bone resection and preparation in UKA using cadaveric specimens.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this controlled study, we compared the planned and final implant placement in 25 cadaveric specimens undergoing UKA using the new tool. A quantitative analysis was performed to determine the translational, angular, and rotational differences between the planned and achieved positions of the implants.</p>
</sec>
<sec>
<title>Results</title>
<p>The femoral implant rotational mean error was 1.04° to 1.88° and mean translational error was 0.72 to 1.29 mm across the three planes. The tibial implant rotational mean error was 1.48° to 1.98° and the mean translational error was 0.79 to 1.27 mm across the three planes.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The image-free robotic sculpting tool achieved accurate implementation of the surgical plan with small errors in implant placement. The next step will be to determine whether accurate implant placement translates into a clinical and functional benefit for the patient.</p>
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<subject>Symposium: 2014 Knee Society Proceedings</subject>
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Department of Orthopaedic Surgery, Rothman Institute, Thomas Jefferson University, 925 Chestnut Street, Philadelphia, PA 19107 USA</aff>
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Biomedical Engineering Department, University of Strathclyde, Wolfson Centre, Glasgow, UK</aff>
<aff id="Aff3">
<label></label>
Blue Belt Technologies Inc, Plymouth, MN USA</aff>
<aff id="Aff4">
<label></label>
Department of Orthopaedics, Golden Jubilee National Hospital, Clydebank, Glasgow, UK</aff>
<aff id="Aff5">
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The Bone & Joint Center, Magee-Womens Hospital of UPMC, Pittsburgh, PA USA</aff>
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<year>2014</year>
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<lpage>212</lpage>
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<copyright-statement>© The Association of Bone and Joint Surgeons® 2014</copyright-statement>
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<abstract id="Abs1">
<sec>
<title>Background</title>
<p>Surgical robotics has been shown to improve the accuracy of bone preparation and soft tissue balance in unicondylar knee arthroplasty (UKA). However, although extensive data have emerged with regard to a CT scan-based haptically constrained robotic arm, little is known about the accuracy of a newer alternative, an imageless robotic system.</p>
</sec>
<sec>
<title>Questions/purposes</title>
<p>We assessed the accuracy of a novel imageless semiautonomous freehand robotic sculpting system in performing bone resection and preparation in UKA using cadaveric specimens.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this controlled study, we compared the planned and final implant placement in 25 cadaveric specimens undergoing UKA using the new tool. A quantitative analysis was performed to determine the translational, angular, and rotational differences between the planned and achieved positions of the implants.</p>
</sec>
<sec>
<title>Results</title>
<p>The femoral implant rotational mean error was 1.04° to 1.88° and mean translational error was 0.72 to 1.29 mm across the three planes. The tibial implant rotational mean error was 1.48° to 1.98° and the mean translational error was 0.79 to 1.27 mm across the three planes.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The image-free robotic sculpting tool achieved accurate implementation of the surgical plan with small errors in implant placement. The next step will be to determine whether accurate implant placement translates into a clinical and functional benefit for the patient.</p>
</sec>
</abstract>
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