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Dataset Information

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, S

SUBMITTER: Shin Y 

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

REPOSITORIES: biostudies-literature