Bone strain index as a predictor of further vertebral fracture in osteoporotic women: An artificial intelligence-based analysis.

ABSTRACT:

Background

Osteoporosis is an asymptomatic disease of high prevalence and incidence, leading to bone fractures burdened by high mortality and disability, mainly when several subsequent fractures occur. A fragility fracture predictive model, Artificial Intelligence-based, to identify dual X-ray absorptiometry (DXA) variables able to characterise those patients who are prone to further fractures called Bone Strain Index, was evaluated in this study.

Methods

In a prospective, longitudinal, multicentric study 172 female outpatients with at least one vertebral fracture at the first observation were enrolled. They performed a spine X-ray to calculate spine deformity index (SDI) and a lumbar and femoral DXA scan to assess bone mineral density (BMD) and bone strain index (BSI) at ba

SUBMITTER: Ulivieri FM 

PROVIDER: S-EPMC7870050 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature