Can radiographs of hip fractures predict subsequent hip fractures? A shape modelling analysis

被引:1
|
作者
Neilly, David [1 ,2 ]
Khan, Sameer K. [3 ]
Gregory, Jennifer S. [2 ]
Aspden, Richard M. [2 ]
Hutchison, James D. [2 ]
Deehan, David J. [3 ,4 ]
机构
[1] North Scotland Specialty Training Programme, Glasgow, Lanark, Scotland
[2] Univ Aberdeen, Div Appl Med, Aberdeen AB9 1FX, Scotland
[3] Newcastle Tyne Hosp NHS Fdn Trust, Newcastle Upon Tyne, Tyne & Wear, England
[4] Newcastle Univ, Inst Cellular Med, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
关键词
Hip fracture; Radiographs; Shape modelling; FEMORAL GEOMETRY; PROXIMAL FEMUR; PROGRESSION; DENSITY; MEN; OA;
D O I
10.1016/j.injury.2016.04.023
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
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.
引用
收藏
页码:1543 / 1546
页数:4
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