Aim of this work was to evaluate the effectiveness of a recently introduced ultrasound (US) parameter for the estimation of bone mineral density (BMD) of the lumbar spine, when extensively used in a clinical context to investigate adult women of variable body mass index (BMI). A total of 414 female patients (aged 51-60 years) underwent a spinal dual X-ray absorptiometry (DXA) and an abdominal echographic scan of the lumbar spine. US images and corresponding unfiltered radiofrequency signals were analyzed through a new fully automatic algorithm, which performed a series of spectral and statistical analyses to calculate the novel diagnostic parameter, called the Osteoporosis Score (O.S.). Effectiveness of O.S. in BMD estimation and subsequent osteoporosis diagnosis was assessed through a direct comparison with DXA measurements (assumed as the gold standard reference), by quantifying the agreement between the two methods through accuracy calculation and Pearson correlation coefficient (r). A very good and significant correlation was found between O.S.-estimated BMDs and corresponding DXA values over the whole considered study population (r=0.81, p<0.001). The subsequent diagnostic classifications of patients as osteoporotic, osteopenic or healthy on the basis of O.S.-estimated BMD values resulted in an overall accuracy of 90.1%. Interestingly, both the adopted metrics (r value and accuracy) were not appreciably influenced by patient BMI, demonstrating that US-measured O.S. is significantly correlated with spinal BMD in adult women independently of their BMI. Therefore, the clinical translation of this innovative method for osteoporosis diagnosis can be envisioned.

Ultrasound Osteoporosis Score: A novel parameter for the estimation of spine mineral density

Casciaro S;Conversano F;Pisani P;Casciaro E;
2015

Abstract

Aim of this work was to evaluate the effectiveness of a recently introduced ultrasound (US) parameter for the estimation of bone mineral density (BMD) of the lumbar spine, when extensively used in a clinical context to investigate adult women of variable body mass index (BMI). A total of 414 female patients (aged 51-60 years) underwent a spinal dual X-ray absorptiometry (DXA) and an abdominal echographic scan of the lumbar spine. US images and corresponding unfiltered radiofrequency signals were analyzed through a new fully automatic algorithm, which performed a series of spectral and statistical analyses to calculate the novel diagnostic parameter, called the Osteoporosis Score (O.S.). Effectiveness of O.S. in BMD estimation and subsequent osteoporosis diagnosis was assessed through a direct comparison with DXA measurements (assumed as the gold standard reference), by quantifying the agreement between the two methods through accuracy calculation and Pearson correlation coefficient (r). A very good and significant correlation was found between O.S.-estimated BMDs and corresponding DXA values over the whole considered study population (r=0.81, p<0.001). The subsequent diagnostic classifications of patients as osteoporotic, osteopenic or healthy on the basis of O.S.-estimated BMD values resulted in an overall accuracy of 90.1%. Interestingly, both the adopted metrics (r value and accuracy) were not appreciably influenced by patient BMI, demonstrating that US-measured O.S. is significantly correlated with spinal BMD in adult women independently of their BMI. Therefore, the clinical translation of this innovative method for osteoporosis diagnosis can be envisioned.
2015
Istituto di Fisiologia Clinica - IFC
bone densitometry
bone mineral density measurement
lumbar spine
osteoporosis diagnosis
Radiofrequency signal processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/340253
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