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Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018.


ABSTRACT: Importance: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. Objective: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. Main Outcomes and Measures: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. Results: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?

SUBMITTER: Shin Y 

PROVIDER: S-EPMC7563081 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018.

Shin YiRang Y   Han Kyunghwa K   Lee Young Han YH  

JAMA network open 20201001 10


<h4>Importance</h4>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.<h4>Objective</h4>To analyze the temporal trends in cervical curvature across sex and age groups using an automated deep learning system (DLS).<h4>Design, setting, and participants</h4>A retrospective cross-sectional study was conducted using lateral c  ...[more]

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