Skip to main content

Volume 10 Supplement 1

IRSSD 2014 Meeting Abstracts

Spine velocity provides more accurate assessment of curve progression than height velocity in progressive female idiopathic scoliosis undergoing bracing treatment


To calculate the spinal velocity (SV) and peak spinal velocity (PSV) in progressive idiopathic scoliosis (IS) girls and subsequently to analyze their values of utilization in the assessment of curve progression.

Summary of background data

The height velocity (HV) is traditionally utilized to provide information of the longitudinal linear growth potential and subsequently to guide the design of treatment strategy. The existence of distal-to-proximal growth gradient in adolescents, however, has made scoliosis surgeons wonder whether SV provides superior information to HV in predicting the likelihood of significant curve progression in progressive IS patients.


Pre-pubertal IS girls receiving standardized brace treatment and being followed up regularly were retrospectively reviewed, while only those with main curve progression of 10° or more during brace treatment were finally enrolled in this analysis. During the follow-up, the following data were collected and recorded: chronologic age, standing height, Cobb angle of the main curve, spinal length and Risser sign. The HV, angle velocity (AV) and SV of each visit were calculated. Peak height velocity (PHV) and PSV of the whole follow-up period were identified subsequently by the construction of growth velocity curves. Multiple linear regression analysis was used to analyze the contributions of each maturity assessments to AV, while logistic regression model was constructed to identify the high risk factors of AV more than 5° per year.


Thirty IS girls were included in this study. Correlation was found between SV and HV (r=0.314, P=0.001). AV was significantly correlated with SV (r=0.414, P<0.001) and HV (r=0.275, P=0.005), respectively. The multiple linear regression analysis showed that AV was influenced by SV (B=0.199, P=0.001) instead of HV (B=0.187, P=0.354). The logistic regression analysis demonstrated that PSV (OR=5.052, P=0.001) rather than PHV (OR=1.979, P=0.144) was the high risk indicator for the occurrence of AV more than 5° per year.


Variations of curve progressive velocity were influenced more directly by SV rather than HV, and congruously onset of PSV were endowed with the high risk of the occurrence of AV more than 5° per year in IS girls with curve progression of 10° or more, indicating the high clinical value of measurement of spinal growth in the treatment of IS.

Author information

Authors and Affiliations


Rights and permissions

Open Access  This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit

The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shi, B., Mao, S., Benjamin, Y. et al. Spine velocity provides more accurate assessment of curve progression than height velocity in progressive female idiopathic scoliosis undergoing bracing treatment. Scoliosis 10 (Suppl 1), O18 (2015).

Download citation

  • Published:

  • DOI:


  • Multiple Linear Regression Analysis
  • Idiopathic Scoliosis
  • Cobb Angle
  • Curve Progression
  • High Risk Factor