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基于体成分双能 X 射线吸收仪扫描的新型方法在人群队列中识别脊柱侧凸:方法的建立与验证。

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

机构信息

Musculoskeletal Research Unit, Avon Orthopaedic Centre, Southmead Hospital, University of Bristol, Westbury-on-Trym, Bristol BS10 5NB, UK.

出版信息

Calcif Tissue Int. 2013 Jun;92(6):539-47. doi: 10.1007/s00223-013-9713-y. Epub 2013 Feb 28.

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.

摘要

本研究旨在开发和验证一种新的方法,用于在全身双能 X 射线吸收仪(DXA)扫描中识别脊柱侧凸。通过分诊来区分真实曲线和定位错误,从而识别全身 DXA 扫描中的脊柱侧凸,然后使用改良的 Ferguson 方法来测量角度。在参加阿冯纵向研究父母和儿童(ALSPAC)的 174 名儿童中评估了精度,这些儿童在 15 岁时接受了重复 DXA 扫描,两次扫描之间相隔 2-6 周。此外,还在 20 次扫描中评估了五次测量的角度估计精度。为了评估准确性,将角度大小与 13 名已知脊柱侧凸患者的脊柱 X 光片进行了比较。随后,该方法应用于估计 7,298 名 ALSPAC 参与者在 9 岁和 5,122 名参与者在 15 岁时先前获得的 DXA 扫描中的脊柱侧凸患病率和曲线模式。在相隔 2-6 周进行的重复 DXA 扫描中识别脊柱侧凸的结果具有高度一致性(kappa 0.74,95%置信区间 0.59-0.89)。在重复角度测量中,95%的角度在 5°以内。角度大小被低估了约 40%。在 ALSPAC 中,9 岁时脊柱侧凸≥10°的患病率为 0.3%,15 岁时为 3.5%,且在两个时间点女孩的患病率更高。9 岁时的平均曲线大小为 12±4°,15 岁时为 15±7°。我们已经开发并验证了一种从 DXA 扫描中识别脊柱侧凸的新方法。与使用更成熟技术的患病率数据进行比较表明,我们的方法为基于人群的队列提供了脊柱侧凸患病率的有效估计。

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