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3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases

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3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases. / Ruiz Wills, Carlos; Olivares, Andy Luis; Tassani, Simone; Ceresa, Mario; Zimmer, Veronika; González Ballester, Miguel A.; del Río, Luis Miguel; Humbert, Ludovic; Noailly, Jérôme.

In: Bone, Vol. 121, 01.04.2019, p. 89-99.

Research output: Contribution to journalArticle

Harvard

Ruiz Wills, C, Olivares, AL, Tassani, S, Ceresa, M, Zimmer, V, González Ballester, MA, del Río, LM, Humbert, L & Noailly, J 2019, '3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases', Bone, vol. 121, pp. 89-99. https://doi.org/10.1016/j.bone.2019.01.001

APA

Ruiz Wills, C., Olivares, A. L., Tassani, S., Ceresa, M., Zimmer, V., González Ballester, M. A., ... Noailly, J. (2019). 3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases. Bone, 121, 89-99. https://doi.org/10.1016/j.bone.2019.01.001

Vancouver

Ruiz Wills C, Olivares AL, Tassani S, Ceresa M, Zimmer V, González Ballester MA et al. 3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases. Bone. 2019 Apr 1;121:89-99. https://doi.org/10.1016/j.bone.2019.01.001

Author

Ruiz Wills, Carlos ; Olivares, Andy Luis ; Tassani, Simone ; Ceresa, Mario ; Zimmer, Veronika ; González Ballester, Miguel A. ; del Río, Luis Miguel ; Humbert, Ludovic ; Noailly, Jérôme. / 3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases. In: Bone. 2019 ; Vol. 121. pp. 89-99.

Bibtex Download

@article{2711aa43cc46417eb9f80dbb621aaad7,
title = "3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases",
abstract = "Osteoporotic bone fractures reduce quality of life and drastically increase mortality. Minimally irradiating imaging techniques such as dual-energy X-ray absorptiometry (DXA) allow assessment of bone loss through the use of bone mineral density (BMD) as descriptor. Yet, the accuracy of fracture risk predictions remains limited. Recently, DXA-based 3D modelling algorithms were proposed to analyse the geometry and BMD spatial distribution of the proximal femur. This study hypothesizes that such approaches can benefit from finite element (FE)-based biomechanical analyses to improve fracture risk prediction. One hundred and eleven subjects were included in this study and stratified in two groups: (a) 62 fracture cases, and (b) 49 non-fracture controls. Side fall was simulated using a static peak load that depended on patient mass and height. Local mechanical fields were calculated based on relationships between tissue stiffness and BMD. The area under the curve (AUC) of the receiver operating characteristic method evaluated the ability of calculated biomechanical descriptors to discriminate fracture and control cases. The results showed that the major principal stress was better discriminator (AUC > 0.80) than the volumetric BMD (AUC ≤ 0.70). High discrimination capacity was achieved when the analysis was performed by bone type, zone of fracture and gender/sex (AUC of 0.91 for women, trabecular bone and trochanter area), and outcomes suggested that the trabecular bone is critical for fracture discrimination. In conclusion, 3D FE models derived from DXA scans might significantly improve the prediction of hip fracture risk; providing a new insight for clinicians to use FE simulations in clinical practice for osteoporosis management.",
keywords = "3D finite element analysis, DXA, Fracture discrimination, Hip fracture",
author = "{Ruiz Wills}, Carlos and Olivares, {Andy Luis} and Simone Tassani and Mario Ceresa and Veronika Zimmer and {Gonz{\'a}lez Ballester}, {Miguel A.} and {del R{\'i}o}, {Luis Miguel} and Ludovic Humbert and J{\'e}r{\^o}me Noailly",
year = "2019",
month = "4",
day = "1",
doi = "10.1016/j.bone.2019.01.001",
language = "English",
volume = "121",
pages = "89--99",
journal = "Bone",
issn = "8756-3282",
publisher = "Elsevier Inc.",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - 3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases

AU - Ruiz Wills, Carlos

AU - Olivares, Andy Luis

AU - Tassani, Simone

AU - Ceresa, Mario

AU - Zimmer, Veronika

AU - González Ballester, Miguel A.

AU - del Río, Luis Miguel

AU - Humbert, Ludovic

AU - Noailly, Jérôme

PY - 2019/4/1

Y1 - 2019/4/1

N2 - Osteoporotic bone fractures reduce quality of life and drastically increase mortality. Minimally irradiating imaging techniques such as dual-energy X-ray absorptiometry (DXA) allow assessment of bone loss through the use of bone mineral density (BMD) as descriptor. Yet, the accuracy of fracture risk predictions remains limited. Recently, DXA-based 3D modelling algorithms were proposed to analyse the geometry and BMD spatial distribution of the proximal femur. This study hypothesizes that such approaches can benefit from finite element (FE)-based biomechanical analyses to improve fracture risk prediction. One hundred and eleven subjects were included in this study and stratified in two groups: (a) 62 fracture cases, and (b) 49 non-fracture controls. Side fall was simulated using a static peak load that depended on patient mass and height. Local mechanical fields were calculated based on relationships between tissue stiffness and BMD. The area under the curve (AUC) of the receiver operating characteristic method evaluated the ability of calculated biomechanical descriptors to discriminate fracture and control cases. The results showed that the major principal stress was better discriminator (AUC > 0.80) than the volumetric BMD (AUC ≤ 0.70). High discrimination capacity was achieved when the analysis was performed by bone type, zone of fracture and gender/sex (AUC of 0.91 for women, trabecular bone and trochanter area), and outcomes suggested that the trabecular bone is critical for fracture discrimination. In conclusion, 3D FE models derived from DXA scans might significantly improve the prediction of hip fracture risk; providing a new insight for clinicians to use FE simulations in clinical practice for osteoporosis management.

AB - Osteoporotic bone fractures reduce quality of life and drastically increase mortality. Minimally irradiating imaging techniques such as dual-energy X-ray absorptiometry (DXA) allow assessment of bone loss through the use of bone mineral density (BMD) as descriptor. Yet, the accuracy of fracture risk predictions remains limited. Recently, DXA-based 3D modelling algorithms were proposed to analyse the geometry and BMD spatial distribution of the proximal femur. This study hypothesizes that such approaches can benefit from finite element (FE)-based biomechanical analyses to improve fracture risk prediction. One hundred and eleven subjects were included in this study and stratified in two groups: (a) 62 fracture cases, and (b) 49 non-fracture controls. Side fall was simulated using a static peak load that depended on patient mass and height. Local mechanical fields were calculated based on relationships between tissue stiffness and BMD. The area under the curve (AUC) of the receiver operating characteristic method evaluated the ability of calculated biomechanical descriptors to discriminate fracture and control cases. The results showed that the major principal stress was better discriminator (AUC > 0.80) than the volumetric BMD (AUC ≤ 0.70). High discrimination capacity was achieved when the analysis was performed by bone type, zone of fracture and gender/sex (AUC of 0.91 for women, trabecular bone and trochanter area), and outcomes suggested that the trabecular bone is critical for fracture discrimination. In conclusion, 3D FE models derived from DXA scans might significantly improve the prediction of hip fracture risk; providing a new insight for clinicians to use FE simulations in clinical practice for osteoporosis management.

KW - 3D finite element analysis

KW - DXA

KW - Fracture discrimination

KW - Hip fracture

UR - http://www.scopus.com/inward/record.url?scp=85059785211&partnerID=8YFLogxK

U2 - 10.1016/j.bone.2019.01.001

DO - 10.1016/j.bone.2019.01.001

M3 - Article

AN - SCOPUS:85059785211

VL - 121

SP - 89

EP - 99

JO - Bone

JF - Bone

SN - 8756-3282

ER -

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