Cargando…
Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018
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 curv...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563081/ https://www.ncbi.nlm.nih.gov/pubmed/33057644 http://dx.doi.org/10.1001/jamanetworkopen.2020.20961 |
_version_ | 1783595411683934208 |
---|---|
author | Shin, YiRang Han, Kyunghwa Lee, Young Han |
author_facet | Shin, YiRang Han, Kyunghwa Lee, Young Han |
author_sort | Shin, YiRang |
collection | PubMed |
description | 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 < .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. CONCLUSIONS AND RELEVANCE: 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. |
format | Online Article Text |
id | pubmed-7563081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-75630812020-10-19 Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018 Shin, YiRang Han, Kyunghwa Lee, Young Han JAMA Netw Open Original Investigation 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 < .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. CONCLUSIONS AND RELEVANCE: 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. American Medical Association 2020-10-15 /pmc/articles/PMC7563081/ /pubmed/33057644 http://dx.doi.org/10.1001/jamanetworkopen.2020.20961 Text en Copyright 2020 Shin Y et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Shin, YiRang Han, Kyunghwa Lee, Young Han Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018 |
title | Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018 |
title_full | Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018 |
title_fullStr | Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018 |
title_full_unstemmed | Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018 |
title_short | Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018 |
title_sort | temporal trends in cervical spine curvature of south korean adults assessed by deep learning system segmentation, 2006-2018 |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563081/ https://www.ncbi.nlm.nih.gov/pubmed/33057644 http://dx.doi.org/10.1001/jamanetworkopen.2020.20961 |
work_keys_str_mv | AT shinyirang temporaltrendsincervicalspinecurvatureofsouthkoreanadultsassessedbydeeplearningsystemsegmentation20062018 AT hankyunghwa temporaltrendsincervicalspinecurvatureofsouthkoreanadultsassessedbydeeplearningsystemsegmentation20062018 AT leeyounghan temporaltrendsincervicalspinecurvatureofsouthkoreanadultsassessedbydeeplearningsystemsegmentation20062018 |