Computer-assisted femoral head-neck osteochondroplasty using a surgical milling device an in vitro accuracy study

Ecker, Timo M; Puls, Marc; Steppacher, Simon D; Bastian, Johannes Dominik; Keel, Marius J B; Siebenrock, Klaus A; Tannast, Moritz (2012). Computer-assisted femoral head-neck osteochondroplasty using a surgical milling device an in vitro accuracy study. Journal of arthroplasty, 27(2), pp. 310-6. Philadelphia, Pa.: Elsevier 10.1016/j.arth.2011.03.048

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Surgical navigation might increase the safety of osteochondroplasty procedures in patients with femoroacetabular impingement. Feasibility and accuracy of navigation of a surgical reaming device were assessed. Three-dimensional models of 18 identical sawbone femora and 5 cadaver hips were created. Custom software was used to plan and perform repeated computer-assisted osteochondroplasty procedures using a navigated burr. Postoperative 3-dimensional models were created and compared with the preoperative models. A Bland-Altmann analysis assessing α angle and offset ratio accuracy showed even distribution along the zero line with narrow confidence intervals. No differences in α angle and offset ratio accuracy (P = 0.486 and P = 0.2) were detected between both observers. Planning and conduction of navigated osteochondroplasty using a surgical reaming device is feasible and accurate.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Orthopaedic, Plastic and Hand Surgery (DOPH) > Clinic of Orthopaedic Surgery

UniBE Contributor:

Ecker, Timo; Steppacher, Simon Damian; Bastian, Johannes Dominik; Keel, Marius; Siebenrock, Klaus-Arno and Tannast, Moritz

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0883-5403

Publisher:

Elsevier

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:21

Last Modified:

16 Jul 2014 16:11

Publisher DOI:

10.1016/j.arth.2011.03.048

PubMed ID:

21621956

Web of Science ID:

000299600700024

URI:

https://boris.unibe.ch/id/eprint/7175 (FactScience: 212353)

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