Assessing Bone Quality of Spine on Children with Scoliosis Using Ultrasound Reflection FAI Method -- A Preliminary Study

TL;DR

This study introduces a new ultrasound reflection-based parameter, FAI, to assess bone quality and predict scoliosis curve progression in children, showing high reliability and strong correlation with bone properties.

Contribution

The paper develops a novel FAI method for evaluating bone quality in scoliosis patients using ultrasound reflection signals, demonstrating its potential for predicting curve progression.

Findings

FAI strongly correlates with reflection coefficient ($R^2=0.824$).

Intra-rater reliability of FAI measurement is very high (ICC=0.997).

Lower FAI indicates higher risk of curve progression.

Abstract

Osteopenia is indicated as a common phenomenon in patients who have scoliosis. Quantitative ultrasound (QUS) has been used to assess skeletal status for decades, and recently ultrasound imaging using reflection signals from vertebra were as well applied to measure spinal curvatures on children with scoliosis. The objectives of this study are to develop a new method which can robustly extract a parameter from ultrasound spinal data for estimating bone quality of scoliotic patients and to investigate the potential for the parameter on predicting curve progression. The frequency amplitude index (FAI) was calculated based on the spectrum of the original radio frequency (RF) signals reflected from the tissue-vertebra interface. The correlation between FAI and reflection coefficient was validated using decalcified bovine bone samples in vitro, and the FAIs of scoliotic subjects were investigated in vivo referring to BMI, Cobb angles and curve progression status. The results showed that the intra-rater measures were highly reliable between different trials (ICC=0.997). The FAI value was strongly correlated to the reflection coefficient of bone tissue ($R^{2}=0.824$), and the lower FAI indicated the higher risk of curve progression for the non-mild cases. This preliminary study reported that the FAI method can provide a feasible and promising approach to assess bone quality and monitor curve progression of the patients who have AIS.