DXA-Based 3D Analysis of the Cortical and Trabecular Bone of Hip Fracture Postmenopausal Women: A Case-Control Study.


Journal

Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
ISSN: 1094-6950
Titre abrégé: J Clin Densitom
Pays: United States
ID NLM: 9808212

Informations de publication

Date de publication:
Historique:
received: 21 09 2018
accepted: 08 11 2018
pubmed: 7 12 2018
medline: 16 9 2021
entrez: 4 12 2018
Statut: ppublish

Résumé

Methods using statistical shape and appearance models have been proposed to analyze bone mineral density (BMD) in 3D from dual energy X-ray absorptiometry (DXA) scans. This paper presents a retrospective case-control study assessing the association of DXA-derived 3D measurements with osteoporotic hip fracture in postmenopausal women. Patients who experienced a hip fracture between 1 and 6 years from baseline and age-matched controls were included in this study. The 3D-SHAPER software (version 2.7, Galgo Medical, Barcelona, Spain) was used to derive 3D analysis from hip DXA scans at baseline. DXA and 3D measurements were compared between groups. Total hip areal BMD of hip fracture group as measured by DXA was 10.7% lower compared to control group. Differences in volumetric BMD (total hip) as measured by 3D-SHAPER were more pronounced in the trabecular compartment (-23.3%) than in the cortex (-8.2%). The area under the receiver operating curve was 0.742 for trabecular volumetric BMD, 0.706 for cortical volumetric BMD, and 0.712 for total hip areal BMD. Differences in the cortex were locally more pronounced at the medial aspect of the shaft, the lateral aspect of the greater trochanter, and the superolateral aspect of the neck. Marked differences in volumetric BMD were observed in the greater trochanter. This case-control study showed the association of DXA-derived 3D measurements with hip fracture. Analysis of large cohorts will be performed in future work to determine if DXA-derived 3D measurements could improve fracture risk prediction in clinical practice.

Identifiants

pubmed: 30503030
pii: S1094-6950(18)30209-9
doi: 10.1016/j.jocd.2018.11.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

403-410

Informations de copyright

Copyright © 2020 Air Medical Journal Associates. Published by Elsevier Inc. All rights reserved.

Auteurs

Ludovic Humbert (L)

Musculoskeletal Unit, Galgo Medical, Barcelona, Spain. Electronic address: ludohumberto@gmail.com.

Alexis Bagué (A)

Musculoskeletal Unit, Galgo Medical, Barcelona, Spain; BCN Medtech, Universitat Pompeu Fabra, Barcelona, Spain.

Silvana Di Gregorio (S)

Cetir Grup Mèdic, Barcelona, Spain.

Renaud Winzenrieth (R)

Musculoskeletal Unit, Galgo Medical, Barcelona, Spain.

Xavier Sevillano (X)

Grup de Recerca en Tecnologies Mèdia, La Salle-Universitat Ramon Llull, Barcelona, Spain.

Miguel Ángel González Ballester (MÁ)

BCN Medtech, Universitat Pompeu Fabra, Barcelona, Spain; ICREA, Barcelona, Spain.

Luis Del Rio (L)

Cetir Grup Mèdic, Barcelona, Spain.

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Classifications MeSH