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Intra-op measurement of the mechanical axis deviation: An evaluation study on 19 human cadaver legs

  • Lejing Wang
  • , Pascal Fallavollita
  • , Alexander Brand
  • , Okan Erat
  • , Simon Weidert
  • , Peter Helmut Thaller
  • , Ekkehard Euler
  • , Nassir Navab
  • Technical University of Munich
  • Ludwig-Maximilians-Universität München

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

The alignment of the lower limb in high tibial osteotomy (HTO) or total knee arthroplasty (TKA) must be determined intraoperatively. One way to do so is to deform the mechanical axis deviation (MAD), for which a tolerance measurement of 10mm is widely accepted. Many techniques are proposed in clinical practice such as visual inspection, cable method, grid with lead impregnated reference lines, or more recently, navigation systems. Each has their disadvantages including reliability of the MAD measurement, excess radiation, prolonged operation time, complicated setup and high cost. To alleviate such shortcomings, we propose a novel clinical protocol that allows quick and accurate intraoperative calculation of MAD. This is achieved by an X-ray stitching method requiring only three X-ray images placed into a panoramic image frame during the entire procedure. The method has been systematically analyzed in a simulation framework in order to investigate its accuracy and robustness. Furthermore, we validated our protocol via a preclinical study comprising 19 human cadaver legs. Four surgeons determined MAD measurements using our X-ray panorama and compared these values to a gold-standard CT-based technique. The maximum average MAD error was 3.5mm which shows great potential for the technique.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings
EditorsAlbert Montillo, Zhuowen Tu, Georg Langs, Bjoern H. Menze, Georg Langs, Nicholas Ayache, Hervé Delingette, Le Lu, Bjoern H. Menze, Antonio Criminisi, Polina Golland, Kensaku Mori
PublisherSpringer Verlag
Pages609-616
Number of pages8
ISBN (Print)9783642334177
DOIs
StatePublished - 2012
Event15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 - Nice, France
Duration: 5 Oct 20125 Oct 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7511 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012
Country/TerritoryFrance
CityNice
Period5/10/125/10/12

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