Development of a biomechanical guidance system for periacetabular osteotomy

Ryan J. Murphy, Robert S. Armiger, Jyri Lepistö, Simon C. Mears, Russell H. Taylor, Mehran Armand

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Purpose: This paper presents and validates a computer-navigated system for performing periacetabular osteotomy (PAO) to treat developmental dysplasia of the hip. The main motivation of the biomechanical guidance system (BGS) is to plan and track the osteotomy fragment in real time during PAO while simplifying the procedure for less-experienced surgeons. The BGS aims at developing a platform for comparing biomechanical states of the joint with the current gold standard geometric assessment of anatomical angles. The purpose of this study was to (1) determine the accuracy with which the BGS tracks the hip joint through repositioning and (2) identify improvements to the workflow. Methods: Nineteen cadaveric validation studies quantified system accuracy, verified system application, and helped to refine surgical protocol. In two surgeries, navigation and registration accuracy were computed by affixing fiducials to two cadavers prior to surgery. All scenarios compared anatomical angle measurements and joint positioning as measured intraoperatively to postoperatively. Results: In the two cases with fiducials, computed fragment transformations deviated from measured fiducial transformations by 1.4 and 1.8 mm in translation and 1.0° and 2.2° in rotation, respectively. The additional seventeen surgeries showed strong agreement between intraoperative and postoperative anatomical angles, helped to refine the surgical protocol, and demonstrated system robustness. Conclusion: Estimated accuracy with BGS appeared acceptable for future surgical applications. Several major system requirements were identified and addressed, improving the BGS and making it feasible for clinical studies.

Original languageEnglish (US)
Pages (from-to)497-508
Number of pages12
JournalInternational Journal of Computer Assisted Radiology and Surgery
Volume10
Issue number4
DOIs
StatePublished - Apr 1 2015

Keywords

  • Computer-assisted surgery
  • Developmental dysplasia
  • Orthopedics
  • Periacetabular osteotomy

ASJC Scopus subject areas

  • Surgery
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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