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The precision of radiostereometric measurements: manual vs. digital measurements
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-7657-6917
Katholieke Universiteit Nijmegen, Nijmegen, Holland. (Biomechanics Section)
Sahlgrenska University Hospital, Göteborg, Sweden. (Department of Orthopaedics)
2002 (English)In: Journal of Biomechanics, ISSN 0021-9290, E-ISSN 1873-2380, Vol. 35, no 1, 69-79 p.Article in journal (Refereed) Published
Abstract [en]

The precision of digital vs. manual radiostereometric measurements in total hip arthroplasty was evaluated using repeated stereoradiographic exposures with an interval of 10–15 min. Ten Lubinus SP2 stems cemented into bone specimens and 12 patients with the same stem design were used to evaluate the precision of stem translations and rotations. The precision of translations and rotations of the cup and femoral head penetration was studied in 12 patients with whole polyethylene cups.

The use of a measurement method based on digitised radiographs improved the precision for some of the motion parameters, whereas many of them did not change. A corresponding pattern was observed for both the intra- and interobserver error. Of the wear parameters, the most pronounced improvements were the 3D wear and in the proximal-distal direction, although the anterior-posterior precision was also improved. The mean errors of rigid body and elliptic fitting decreased in all evaluations but one, consistent with a more reproducible identification of the markers centres and the edge of the femoral head.

Increased precision of radiostereometric measurements may be used to increase the statistical power of future randomised studies and to study new fields in orthopaedics requiring higher precision than has been available with RSA based on manual measurements.

Place, publisher, year, edition, pages
Elsevier, 2002. Vol. 35, no 1, 69-79 p.
Keyword [en]
Radiostereometry; Digital radiographs; Precision; Micromotion; Wear
National Category
Computer and Information Science Computational Mathematics Medical Image Processing Orthopedics
Research subject
Computerized Image Analysis; Orthopaedics; Computer and Information Science
URN: urn:nbn:se:umu:diva-40084DOI: 10.1016/S0021-9290(01)00162-2OAI: diva2:397874
Available from: 2011-02-16 Created: 2011-02-16 Last updated: 2016-03-15Bibliographically approved

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Börlin, Niclas
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