Comparison of 2 versus 3 dimensional fracture mapping strategies for 3 dimensional computerized tomography reconstructions of scapula neck and body fractures

Anthony J. Dugarte, Luisa Tkany, Lisa K. Schroder, Andreas Petersik, Peter A. Cole

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Fracture mapping has been used in the understanding of injury patterns in different bones. To our knowledge, there are no applications of this technique using three-dimensional (3D) morphologic fracture characteristics. Previously, scapula fractures were mapped by transferring information from 3D computed tomography to a two-dimensional (2D) template. Cole et al. determined that 3D Computerized Tomography (CT) scans were more reliable compared to plain radiographs in terms of scapular angulation, translation, and glenopolar angle measurements. Thus, we hypothesized that if there is a difference between fracture lines drawn in 3D and in 2D, then the 3D mapping would yield more accurate fracture patterns. We completed a retrospective, comparative study (evidence level III) utilizing CT imaging from a single center scapular registry. We studied ten patients with scapula fractures in whom bilateral CT scans were obtained. Fractures were mapped both two and three-dimensionally, and we measured deviations between the fracture lines that were drawn with each approach. The measured deviations ranged from 10.4 mm to 28.0 mm when comparing 2D versus 3D techniques, with the mean deviation being 4.0 mm and 10.4 mm, respectively. Half of the 2D renderings possessed hidden fracture lines that were later revealed on 3D imaging. Three-dimensional renderings were more accurate when compared to 2D fracture mapping methods. This more accurate technique will allow for better understanding of 3D morphology and provide a basis for future fracture mapping in any bone. Accurate mapping is important because surgical approach, reduction, fixation, and implant design and selection are based on fracture patterns.

Original languageEnglish (US)
Pages (from-to)265-271
Number of pages7
JournalJournal of Orthopaedic Research
Volume36
Issue number1
DOIs
StatePublished - Jan 2018

Bibliographical note

Funding Information:
This research is funded through a grant from Stryker Orthopaedics. L. Tkany reports grants from Stryker Trauma GmbH, outside the submitted work. A. Petersik reports personal fees from Stryker Trauma GmbH, outside the submitted work. P. Cole reports grants from AOTNA, COTA, OMEGA, AORF and DePut-Synthes outside of the submitted work. Dr. Cole also reports payment for lectures from AONA and AOI.

Keywords

  • bone
  • computational modeling
  • diagnostic imaging
  • shoulder and elbow

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