Literature DB >> 23456028

Identifying scoliosis in population-based cohorts: development and validation of a novel method based on total-body dual-energy x-ray absorptiometric scans.

Hilary J Taylor1, Ian Harding, John Hutchinson, Ian Nelson, Ashley Blom, Jon H Tobias, Emma M Clark.   

Abstract

The purpose of this study was to develop and validate a novel method of identifying scoliosis on total-body dual energy X-ray absorptiometric (DXA) scans. Scoliosis was identified on total-body DXA scans by triaging to distinguish true curves from positioning errors, followed by a modified Ferguson method to measure angles. Precision was assessed on 174 children from the Avon Longitudinal Study of Parents and Children (ALSPAC), who underwent repeat DXA scans at age 15, 2-6 weeks apart. In addition, precision of angle estimation was evaluated on 20 scans measured five times. To evaluate accuracy, angle size was compared to spinal radiographs in 13 individuals with known scoliosis. Subsequently, this method was applied to estimate scoliosis prevalence rates and curve patterns from DXA scans previously obtained in 7,298 ALSPAC participants at age 9 and 5,122 at age 15. There was substantial agreement in identifying those with scoliosis on repeat DXA scans taken 2-6 weeks apart (kappa 0.74, 95 % CI 0.59-0.89). Of repeat angle measures, 95 % were within 5°. Angle size was underestimated by approximately 40 %. Prevalence of scoliosis ≥10° in the ALSPAC was 0.3 % at age 9 and 3.5 % at age 15 and was higher in girls at both time points. The mean ± SD curve size was 12 ± 4° at age 9 years and 15 ± 7° at age 15. We have developed and validated a novel method for identifying scoliosis from DXA scans. Comparison with prevalence data using more established techniques suggests our method provides valid estimates of scoliosis prevalence in population-based cohorts.

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Year:  2013        PMID: 23456028     DOI: 10.1007/s00223-013-9713-y

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  4 in total

1.  Body Composition, Muscle Quality and Scoliosis in Female Collegiate Gymnasts: A Pilot Study.

Authors:  E T Trexler; A E Smith-Ryan; E J Roelofs; K R Hirsch
Journal:  Int J Sports Med       Date:  2015-09-02       Impact factor: 3.118

2.  Association between physical activity and scoliosis: a prospective cohort study.

Authors:  Jon H Tobias; Jeremy Fairbank; Ian Harding; Hilary J Taylor; Emma M Clark
Journal:  Int J Epidemiol       Date:  2019-08-01       Impact factor: 7.196

3.  Identifying Scoliosis in Population-Based Cohorts: Automation of a Validated Method Based on Total Body Dual Energy X-ray Absorptiometry Scans.

Authors:  Amir Jamaludin; Jeremy Fairbank; Ian Harding; Timor Kadir; Tim J Peters; Andrew Zisserman; Emma M Clark
Journal:  Calcif Tissue Int       Date:  2020-01-09       Impact factor: 4.333

4.  The Impact of Small Spinal Curves in Adolescents Who Have Not Presented to Secondary Care: A Population-Based Cohort Study.

Authors:  Emma M Clark; Jon H Tobias; Jeremy Fairbank
Journal:  Spine (Phila Pa 1976)       Date:  2016-05       Impact factor: 3.468

  4 in total

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