BACKGROUND: Computer- and robot-assisted technologies are capable of improving the accuracy of planar cutting in orthopaedic surgery. This study is a first step toward formulating and validating a new evaluation methodology for planar bone cutting, based on the standards from the International Organization for Standardization. METHODS: Our experimental test bed consisted of a purely geometrical model of the cutting process around a simulated bone. Cuts were performed at three levels of surgical assistance: unassisted, computer-assisted and robot-assisted. We measured three parameters of the standard ISO1101:2004: flatness, parallelism and location of the cut plane. RESULTS: The location was the most relevant parameter for assessing cutting errors. The three levels of assistance were easily distinguished using the location parameter. CONCLUSIONS: Our ISO methodology employs the location to obtain all information about translational and rotational cutting errors. Location may be used on any osseous structure to compare the performance of existing assistance technologies.
BACKGROUND: Computer- and robot-assisted technologies are capable of improving the accuracy of planar cutting in orthopaedic surgery. This study is a first step toward formulating and validating a new evaluation methodology for planar bone cutting, based on the standards from the International Organization for Standardization. METHODS: Our experimental test bed consisted of a purely geometrical model of the cutting process around a simulated bone. Cuts were performed at three levels of surgical assistance: unassisted, computer-assisted and robot-assisted. We measured three parameters of the standard ISO1101:2004: flatness, parallelism and location of the cut plane. RESULTS: The location was the most relevant parameter for assessing cutting errors. The three levels of assistance were easily distinguished using the location parameter. CONCLUSIONS: Our ISO methodology employs the location to obtain all information about translational and rotational cutting errors. Location may be used on any osseous structure to compare the performance of existing assistance technologies.
Authors: Fazel A Khan; Joseph D Lipman; Andrew D Pearle; Patrick J Boland; John H Healey Journal: Clin Orthop Relat Res Date: 2013-01-05 Impact factor: 4.176
Authors: Lukas Postl; Thomas Mücke; Stefan Hunger; Sabina Noreen Wuersching; Svenia Holberg; Oliver Bissinger; Rainer Burgkart; Michael Malek; Stefan Krennmair Journal: Eur J Med Res Date: 2022-07-02 Impact factor: 4.981
Authors: Lukas Postl; Thomas Mücke; Stefan Hunger; Oliver Bissinger; Michael Malek; Svenia Holberg; Rainer Burgkart; Stefan Krennmair Journal: Eur J Med Res Date: 2021-03-15 Impact factor: 2.175