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Pre-planning of intramedullary nailing procedures: A methodology for predicting the position of the distal hole

Mortazavi, J ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1016/j.medengphy.2019.09.012
  3. Publisher: Elsevier Ltd , 2019
  4. Abstract:
  5. Inserting the distal locking screws is a challenging step of the intramedullary nailing procedures due to the nail deformation that makes the proximally mounted targeting systems ineffective. A pre-planning methodology is proposed, based on an analytical model of the nail–bone construct, to predict the nail deformation during surgery using orthogonal preoperative radiographs. Each of the femoral shaft and the nail was modeled as a curved tubular Euler–Bernoulli beam. The unknown positions and forces of the nail–bone interaction were found using a systematic trial and error approach, which minimized the total strain energy of the system while satisfying the force and geometrical constraints. The predictions of the model for the nail deformation were compared with the experimental results of five cadaver specimens in 15 test conditions. Relatively large displacements (up to 13 mm) were found for the distal hole in sagittal plane only. The model predictions were in close agreement with the experimental results, with a root mean square error of 1.2 mm. It was concluded that the proposed pre-planning methodology is promising for practical clinical use in intramedullary nailing operations, in order to provide the compensatory information that is required for tuning of proximally mounted targeting systems. © 2019 IPEM
  6. Keywords:
  7. Analytical modeling ; Computer assisted surgery ; Nail deformation ; Analytical models ; Bone ; Deformation ; Locks (fasteners) ; Mean square error ; Strain energy ; Surgery ; Distal locking ; Geometrical constraints ; Intramedullary nailing ; Large displacements ; Long bone fractures ; Root mean square errors ; Trial-and-error approach ; Forecasting ; Article ; Cadaver ; Controlled study ; Long bone ; Prediction
  8. Source: Medical Engineering and Physics ; Volume 74 , 2019 , Pages 172-179 ; 13504533 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S135045331930178X