Personalised 3D Assessment of Trochanteric Soft Tissues Improves HIP Fracture Classification Accuracy.
Hip fracture risk prediction
Multiscale model
Osteoporosis
Trochanteric soft tissues
Journal
Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
08
08
2021
accepted:
19
01
2022
pubmed:
2
2
2022
medline:
26
3
2022
entrez:
1
2
2022
Statut:
ppublish
Résumé
Passive soft tissues surrounding the trochanteric region attenuate fall impact forces and thereby control hip fracture risk. The degree of attenuation is related to Soft Tissue Thickness (STT). STT at the neutral hip impact orientation, estimated using a regression relation in body mass index (BMI), was previously shown to influence the current absolute risk of hip fracture (ARF0) and its fracture classification accuracy. The present study investigates whether fracture classification using ARF0 improves when STT is determined from the subject's Computed-Tomography (CT) scans (i.e. personalised) in an orientation-specific (i.e. 3D) manner. STT is calculated as the shortest distance along any impact orientation between a semi-automatically segmented femur surface and an automatically segmented soft tissue/air boundary. For any subject, STT along any of the 33 impact orientations analysed always exceeds the value estimated using BMI. Accuracy of fracture classification using ARF0 improves when using personalised 3D STT estimates (AUC = 0.87) instead of the BMI-based STT estimate (AUC = 0.85). The improvement is smaller (AUC = 0.86) when orientation-specificity of CT-based STT is suppressed and is nil when personalisation is suppressed instead. Thus, fracture classification using ARF0 improves when CT is used to personalise STT estimates and improves further when, in addition, the estimates are orientation specific.
Identifiants
pubmed: 35103867
doi: 10.1007/s10439-022-02924-1
pii: 10.1007/s10439-022-02924-1
pmc: PMC8847196
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
303-313Subventions
Organisme : Engineering and Physical Sciences Research Council
ID : EP/K03877X/1
Organisme : Engineering and Physical Sciences Research Council
ID : EP/S032940/1
Organisme : Horizon 2020 Framework Programme
ID : H2020-INFRAEDI-2018-1/823712
Organisme : Horizon 2020 Framework Programme
ID : H2020-WIDESPREAD-2018-01/857533
Informations de copyright
© 2022. The Author(s).
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