Bone microarchitecture assessed by TBS predicts osteoporotic fractures independent of bone density: the Manitoba study

Published: November 1, 2011
Category: Bibliography > Papers
Authors: Goertzen AL, Hans D, Krieg MA, Leslie WD
Countries: Canada
Types: Performance Analysis
Settings: Academic

J Bone Miner Res 26:2762-2769.

Bone Disease Unit, University of Lausanne, Lausanne, Switzerland

The measurement of BMD by dual-energy X-ray absorptiometry (DXA) is the “gold standard” for diagnosing osteoporosis but does not directly reflect deterioration in bone microarchitecture. The trabecular bone score (TBS), a novel gray-level texture measurement that can be extracted from DXA images, correlates with 3D parameters of bone microarchitecture. Our aim was to evaluate the ability of lumbar spine TBS to predict future clinical osteoporotic fractures. A total of 29,407 women 50 years of age or older at the time of baseline hip and spine DXA were identified from a database containing all clinical results for the Province of Manitoba, Canada. Health service records were assessed for the incidence of nontraumatic osteoporotic fracture codes subsequent to BMD testing (mean follow-up 4.7 years). Lumbar spine TBS was derived for each spine DXA examination blinded to clinical parameters and outcomes. Osteoporotic fractures were identified in 1668 (5.7%) women, including 439 (1.5%) spine and 293 (1.0%) hip fractures. Significantly lower spine TBS and BMD were identified in women with major osteoporotic, spine, and hip fractures (all p < 0.0001). Spine TBS and BMD predicted fractures equally well, and the combination was superior to either measurement alone (p  0.001). Spine TBS predicts osteoporotic fractures and provides information that is independent of spine and hip BMD. Combining the TBS trabecular texture index with BMD incrementally improves fracture prediction in postmenopausal women.

Comment in: Bone: fracture risk prediction–beyond BMD assessment. [Nat Rev Endocrinol. 2011]

PMID: 21887701

Diagnostic Certainty,Gender,Practice Patterns Comparison,High-Impact Chronic Conditions,Age,Area Under Curve,Demography,Follow-Up Studies,Incidence,Lumbar Vertebrae/diagnostic imaging,Manitoba/epidemiology,Middle Aged,Multivariate Analysis,Osteoporotic Fractures/diagnostic imaging,Osteoporotic Fractures/epidemiology,Proportional Hazards Models,World Health Organization

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