Browse by author
Lookup NU author(s): Professor David Deehan
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Introduction: The geometrical shape of the proximal femur has previously been shown to predict primary hip fractures. Hip fractures are routinely diagnosed on plain radiographs of the pelvis, and these have both hips viewable. We have investigated if statistical shape modelling of the uninvolved hip on plain radiographs, at the time of the first hip fracture episode, could predict a subsequent 'second fracture' on that (uninvolved) side.Materials and methods: 60 radiographs taken at the time of the index hip fracture were blinded and separated into two arms; patients sustaining one hip fracture only (n = 30), and those who went on to sustain a second fracture (n = 30), over the three-year follow-up period. Two separate shape models were used for these groups and compared using t-tests or Mann-Whitney U-tests, along with Cohen's d to measure the effect size of each measure.Results: We found no statistically significant difference in the shape of the femur between the first fracture and second fracture group (p > 0.05) and no results reached a "medium" effect size (Cohen's d < 0.5).Conclusions: Shape modelling is feasible and can be applied in the routine clinical setting. However, we were unable to elucidate any predictive value in this relatively small sample. A reliable radiograph-based method of identifying patients at risk of second fracture would be of value in planning prevention, service provision, and cost analysis. Further work is required and a study with more patients might exclude the type 2 error in our work. (C) 2016 Elsevier Ltd. All rights reserved.
Author(s): Neilly D, Khan SK, Gregory JS, Aspden RM, Hutchison JD, Deehan DJ
Publication type: Article
Publication status: Published
Journal: Injury
Year: 2016
Volume: 47
Issue: 7
Pages: 1543-1546
Print publication date: 01/07/2016
Online publication date: 02/05/2016
Acceptance date: 18/04/2016
ISSN (print): 0020-1383
ISSN (electronic): 1879-0267
Publisher: Elsevier
URL: http://dx.doi.org/10.1016/j.injury.2016.04.023
DOI: 10.1016/j.injury.2016.04.023
Altmetrics provided by Altmetric
