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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References
Kane WJ (1997) Scoliosis prevalence: a call for statement of terms. Clin Orthop 126:43–46
Stehbens WE, Cooper RL (2003) Regression of juvenile idiopathic scoliosis. Exp Mol Pathol 74:326–335
Reamy BV, Slakey JB (2001) AIS: review and current concepts. Am Fam Physician 64(1):111–116
Dobbs MB, Weinstein SL (1999) Infantile and juvenile scoliosis. Orthop Clin North Am 30:331–341
Wang YP, Ye QB, Wu B (1996) Results of the screening of scoliosis among school students in Bei**g. Chin J Epidemiol 17(3):160–162
Grivas TB, Samelis P, Polyzois BD, Giourelis B, Polyxois D (2002) School screening in the heavily industrialised area—is there any role of industrial environmental factors in idiopathic scoliosis prevalence? Stud Health Technol Inform 91:76–80
Karachalios T, Sofianos J, Roidis N, Sapkas G, Korres D, Nikolopoulos K (1999) Ten-year follow-up evaluation of a school screening programme for scoliosis. Spine 24:2318–2324
Watson SJ, Jones AL, Oatway WB, Hughes JS (2005) Ionising radiation exposure of the UK population. HPA-RPD-001. Health Protection Agency, London
Nachemson AL, Peterson LE (1995) Effectiveness of treatment with a brace in girls who have AIS: a prospective, controlled study based on data from the Brace study of the SRS. J Bone Joint Surg Am 77:815–822
Weinstein SL, Dolan LA, Cheng JCY, Danielsson A, Morcuende JA (2008) Adolescent idiopathic scoliosis. Lancet 371:1527–1537
Njeh CF, Fuerst T, Hans D, Blake GM, Genant HK (1999) Radiation exposure in bone mineral density assessment. Appl Radiat Isot 50(1):215–236
Markwardt P, Pankratz D, Barden HS, Ergun D (2008) Accuracy of Cobb angle measurement with iDXA [abstract Su484]. J Bone Miner Res 23(Suppl 1):S367
Boyd A, Golding J, Macleod J, Lawlor DA, Fraser A, Hernderson J, Molloy L, Ness A, Ring S, Davey Smith G (2012) Cohort profile: the “Children of the 90s”—the index offspring of the Avon Longitudinal Study of Parents and Children. Int J Epidemiol. doi:10.1093/ije/dys064
Sangole A, Aubin CE, Labelle H, Lenke L, Jackson R, Newton P, Stokes IA (2010) The central hip vertical axis: a reference axis for the SRS three-dimensional classification of idiopathic scoliosis. Spine 35(1):E530–E534
Ferguson AB (1930) The study and treatment of scoliosis. South Med J 23(2):116–120
Cobb J (1948) Outline for the study of scoliosis. Instr Course Lect 5:261–275
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174
Bland JM, Altman DG (1996) Statistics notes: measurement error proportional to the mean. BMJ 313:106
Morrisy RT, Goldsmith GS, Hall EC, Kehl D, Cowie GH (1990) Measurement of the Cobb angle on radiographs of patients who have scoliosis. Evaluation of intrinsic error. J Bone Joint Surg Am 2(3):320–327
Torell G, Nachemson A, Haderspeck-Grib K, Schultz A (1985) Standing and supine Cobb measures in girls with idiopathic scoliosis. Spine 10(5):425–427
Stokes IAF, Aronson DD, Ronchetti PJ, Labelle H, Dansereau J (1993) Re-examination of the Cobb and Ferguson angles: bigger is not always better. J Spinal Dis 6(4):333–338
Ueno M, Takaso M, Nakazawa T, Imura T, Saito W, Shintani R, Uchida K, Fukuda M, Takahashi K, Ohtori S, Kotani T, Minami S (2011) A 5-year epidemiological study on the prevalence rate of idiopathic scoliosis in Tokyo: school screening of more than 250,000 children. J Orthop Sci 16:1–6
Stirling AJ, Howel D, Millner PA, Sadiq S, Sharples D, Dickson RA (1996) Late-onset idiopathic scoliosis in children six to fourteen years old: cross-sectional prevalence study. J Bone Joint Surg Am 78:1330–1336
Soucacos PN, Soucacos PK, Zacharis KC, Beris AE, Xenakis TA (1997) School screening for scoliosis: a prospective epidemiological study in northwestern and ventral Greece. J Bone Joint Surg Am 79:1498–1503
Nault ML, Allard P, Hinse SB, le Blanc R, Caron O, Labelle H, Sadeghi H (2002) Relations between standing stability and body posture parameters in AIS. Spine 27(17):1911–1917
Goldberg CJ, Moore DP, Fogarty EE (1999) Left thoracic curve patterns and their association with disease. Spine 24:1228–1233
Acknowledgments
We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists, and nurses. The U.K. Medical Research Council, the Wellcome Trust, and the University of Bristol provide core support for ALSPAC. This research was specifically funded by the British Scoliosis Research Foundation. This publication is the work of the authors, and E. C. will serve as guarantor for the contents of this paper, which do not reflect the views of the ALSPAC executive.
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Taylor, H.J., Harding, I., Hutchinson, J. et al. Identifying Scoliosis in Population-Based Cohorts: Development and Validation of a Novel Method Based on Total-Body Dual-Energy X-Ray Absorptiometric Scans. Calcif Tissue Int 92, 539–547 (2013). https://doi.org/10.1007/s00223-013-9713-y
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DOI: https://doi.org/10.1007/s00223-013-9713-y