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DOI 10.1371/journal.pone.0270282

Медицинская библиотека · PloS one · 2022

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

Yamada Junichi, Akeda Koji, Takegami Norihiko, Fujiwara Tatsuhiko, Nishimura Akinobu, Sudo Akihiro

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Yamada Junichi, Akeda Koji, Takegami Norihiko, Fujiwara Tatsuhiko, Nishimura Akinobu, Sudo Akihiro. Novel elemental grading system for radiographic lumbar spondylosis in a population based-cohort study of a Japanese mountain village.. PloS one. 2022. DOI: 10.1371/journal.pone.0270282.

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