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Novel elemental grading system for radiographic lumbar spondylosis in a population based-cohort study of a Japanese mountain village

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Listed:
  • Junichi Yamada
  • Koji Akeda
  • Norihiko Takegami
  • Tatsuhiko Fujiwara
  • Akinobu Nishimura
  • Akihiro Sudo

Abstract

Purpose: Lumbar radiography is a primary screening tool for lumbar spondylosis (LS). Kellgren-Lawrence (KL) classification is widely used to evaluate LS; however, it cannot individually evaluate each radiographic feature. The purpose of this study was to 1) evaluate radiographic LS using a novel elemental grading system and 2) investigate the relationship between the grades of radiographic LS and low back pain (LBP) in a population-based cohort study. Methods: A total of 260 (75 men, 185 women; mean age, 71.5 ± 8.7 years) participants were included in this study. Participants were divided into two groups according to the presence of LBP (LBP- and LBP+ groups). Radiographic features, including osteophyte (OP), disc height narrowing (DHN), vertebral sclerosis (VS), and spondylolisthesis (SL), were classified between grades of 0–2 grades according to the extent of radiographic changes. The sum of grades at each intervertebral level was designated as the intervertebral grade (IG). Results: Intra- and inter-observer reliability (kappa coefficient) of OP, DHN, VS, and SL were 0.82–0.92. OP, DHN, VS, and IG grades were significantly higher in the LBP+ group than in the LBP- group. There were no significant differences in KL grades between the LBP- and LBP+ groups. Logistic regression analysis demonstrated that VS grade was a significant independent factor associated with LBP. Conclusion: The novel elemental grading system of LS would reflect LBP more accurately than the KL classification by individually evaluating each radiographic feature.

Suggested Citation

  • Junichi Yamada & Koji Akeda & Norihiko Takegami & Tatsuhiko Fujiwara & Akinobu Nishimura & Akihiro Sudo, 2022. "Novel elemental grading system for radiographic lumbar spondylosis in a population based-cohort study of a Japanese mountain village," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-13, June.
  • Handle: RePEc:plo:pone00:0270282
    DOI: 10.1371/journal.pone.0270282
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