ArticleAnnals of biomedical engineering2021
3D Analysis of the Proximal Femur Compared to 2D Analysis for Hip Fracture Risk Prediction in a Clinical Population.
Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Development of an automated landmarking tool for the femur in dual-energy X-ray absorptiometry scans using contour-based image analysis.JBMR plus · 2026Article
- The Use of Statistical Shape and Appearance Modelling for Predicting Osteoporotic Fracture Risk.Current osteoporosis reports · 2026Review
- Computer-aided diagnosis for China-Japan Friendship Hospital classification of necrotic femurs using statistical shape and appearance model based on CT scans.Medical & biological engineering & computing · 2025Article
- Association between composite indices of femoral neck strength and odds of hip fracture.Archives of osteoporosis · 2024Article
- Risk modeling of femoral neck fracture based on geometric parameters of the proximal epiphysis.World journal of orthopedics · 2022Article
- [Three-dimensional morphological study of the effect of false acetabulum on the femoral structure in Crowe typeZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2022Article
- Improving the Hip Fracture Risk Prediction with a Statistical Shape-and-Intensity Model of the Proximal Femur.Annals of biomedical engineering · 2022Article
- Finite Element Assessment of Bone Fragility from Clinical Images.Current osteoporosis reports · 2021Review
- Statistical Shape and Appearance Models: Development Towards Improved Osteoporosis Care.Current osteoporosis reports · 2021Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Due to the adverse impacts of hip fractures on patients' lives, it is crucial to enhance the identification of people at high risk through accessible clinical techniques. Reconstructing the 3D geometry and BMD distribution of the proximal femur could be beneficial in enhancing hip fracture risk predictions; however, it is associated with a high computational burden. It is also not clear whether it provides a better performance than 2D model analysis. Therefore, the purpose of this study was to compare the 2D and 3D model reconstruction's ability to predict hip fracture risk in a clinical population of patients. The DXA scans and CT scans of 16 cadaveric femurs were used to create training sets for the 2D and 3D model reconstruction based on statistical shape and appearance modeling. Subsequently, these methods were used to predict the risk of sustaining a hip fracture in a clinical population of 150 subjects (50 fractured, and 100 non-fractured) that were monitored for five years in the Canadian Multicentre Osteoporosis Study. 3D model reconstruction was able to improve the identification of patients who sustained a hip fracture more accurately than the standard clinical practice (by 40%). Also, the predictions from the 2D statistical model didn't differ significantly from the 3D ones (p > 0.76). These results indicated that to enhance hip fracture risk prediction in clinical practice implementing 2D statistical modeling has comparable performance with lower associated computational load.
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