Department of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea.
JAMA Netw Open. 2020 Oct 1;3(10):e2020961. doi: 10.1001/jamanetworkopen.2020.20961.
The loss of the physiologic cervical lordotic curve is a common degenerative disorder known to be associated with abnormal spinal alignment. However, the changing trends among sex and age groups has not yet been well established.
To analyze the temporal trends in cervical curvature across sex and age groups using an automated deep learning system (DLS).
DESIGN, SETTING, AND PARTICIPANTS: A retrospective cross-sectional study was conducted using lateral cervical radiographs of 13 691 individuals from January 1, 2006, to December 31, 2018. The degree of anterior vertical curvature was approximated by a DLS approach and convexity measurement method. This population-based study used the Yonsei University College of Medicine Severance Hospital, Seoul, South Korea, cohort database to identify 13 691 consecutive adults (≥18 years of age) who underwent standing lateral radiography in inpatient and outpatient settings.
The prevalence of kyphotic and straight cervical curve as well as the trends of degree of cervical curvature in 2006 to 2018 among sex and age groups were determined. The DLS performance was validated with quantitative metrics and compared with interobserver and intraobserver variations.
Automatic cervical spine segmentation was identified from lateral radiographs of 13 691 individuals (mean [SD] age, 49.9 [15.3] years; 8051 women [58.8%]). From 2006 to 2018, the decrease in the lordotic curve was significant across both sexes and age groups younger than 70 years, with the decrease more pronounced in women and successively younger generations (female, -0.05; 95% CI, -0.06 to -0.04; 18-29 years of age, -0.06; 95% CI, -0.08 to -0.04; 30-39 years of age, -0.06; 95% CI, -0.08 to -0.04; and 40-49 years of age, -0.05; 95% CI, -0.06 to -0.03; all P < .001). The prevalence of straight and kyphotic curvature had a significant increasing trend for both sexes and young generations, in which individuals 18 to 29 years of age generally had the highest prevalence rates during the study cycle (in 2018, kyphosis, 16.7%; 95% CI, 10.8%-22.5%; straight, 45.5%; 95% CI, 37.7%-53.3%). Similar trends were observed with longitudinal analysis of repeated measures of individuals, with more pronounced decreases in lordotic curvature observed among women and young adults.
This study suggests a significant, increasing loss of normal cervical lordotic curvature for both sexes and young adults that is greater in progressively younger cohorts and women. Further research is necessary to evaluate associations between neck pain and loss of cervical curvature and address the need for active promotion and practical interventions aimed at neck posture correction.
颈椎生理前凸曲线的丧失是一种常见的退行性疾病,已知与脊柱排列异常有关。然而,不同性别和年龄组之间的变化趋势尚未得到很好的确定。
使用自动深度学习系统(DLS)分析颈椎曲度在不同性别和年龄组中的时间趋势。
设计、设置和参与者:这是一项回顾性的横断面研究,使用了 2006 年 1 月 1 日至 2018 年 12 月 31 日期间来自韩国首尔延世大学医学院塞弗伦斯医院队列数据库的 13691 名个体的侧位颈椎 X 线片。通过 DLS 方法和凸度测量方法来近似前向垂直曲率。本基于人群的研究使用了延世大学医学院塞弗伦斯医院队列数据库,以识别 13691 名连续的成年人(≥18 岁),他们在住院和门诊环境下进行了站立位侧位放射检查。
确定了 2006 年至 2018 年不同性别和年龄组中颈椎曲度后凸和直曲的流行率以及颈椎曲度的变化趋势。通过定量指标验证了 DLS 的性能,并将其与观察者间和观察者内的差异进行了比较。
从 13691 名个体的侧位 X 线片中识别出自动颈椎分段(平均[标准差]年龄,49.9[15.3]岁;女性 8051 名[58.8%])。从 2006 年到 2018 年,在 70 岁以下的所有性别和年龄组中,颈椎前凸曲线的减少都很明显,在女性和随后的年轻代中减少更为明显(女性,-0.05;95%置信区间,-0.06 至-0.04;18-29 岁年龄组,-0.06;95%置信区间,-0.08 至-0.04;30-39 岁年龄组,-0.06;95%置信区间,-0.08 至-0.04;40-49 岁年龄组,-0.05;95%置信区间,-0.06 至-0.03;均 P < 0.001)。直曲和后凸曲度的流行率在两性和年轻代中均呈显著上升趋势,在整个研究周期中,18 至 29 岁的个体通常具有最高的流行率(2018 年,后凸,16.7%;95%置信区间,10.8%-22.5%;直曲,45.5%;95%置信区间,37.7%-53.3%)。对个体重复测量的纵向分析也观察到了类似的趋势,在女性和年轻成年人中,颈椎前凸曲线的减少更为明显。
本研究表明,两性和年轻成年人的正常颈椎前凸曲线显著且持续丧失,在逐渐年轻的队列和女性中更为明显。需要进一步研究来评估颈部疼痛与颈椎曲度丧失之间的关系,并提出积极促进和实际干预措施的必要性,以纠正颈部姿势。