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Reproducibility of tomographic evaluation of posterolateral lumbar arthrodesis consolidation

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DataCite Commons2022-06-07 更新2024-07-29 收录
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https://scielo.figshare.com/articles/dataset/Reproducibility_of_tomographic_evaluation_of_posterolateral_lumbar_arthrodesis_consolidation/20013566
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OBJECTIVE: To evaluate interobserver agreement of Glassman classification for posterolateral lumbar spine arthrodesis.METHODS: One hundred and thirty-four CT scans from patients who underwent posterolateral arthrodesis of the lumbar and lumbosacral spine were evaluated by four observers, namely two orthopedic surgeons experienced in spine surgery and two in training in this area. Using the reconstructed tomographic images at oblique coronal plane, 299 operated levels were systematically analyzed looking for arthrodesis signals. The appearance of bone healing in each operated level was classified in five categories as proposed by Glassman to the posterolateral arthrodesis: 1) bilateral solid arthrodesis; 2) unilateral solid arthrodesis; 3) bilateral partial arthrodesis; 4) unilateral partial arthrodesis; 5) absence of arthrodesis. In a second step, the evaluation of each operated level was divided into two categories: fusion (including type 1, 2, 3, and 4) and non fusion (type 5). Statistical analysis was performed by calculating the Kappa coefficient considering the paired analysis between the two experienced observers and between the two observers in training.RESULTS: The interobserver reproducibility by the kappa coefficient for arthrodesis consolidation analysis for the classification proposed, divided into 5 types, was 0.729 for both experienced surgeons and training surgeons. Considering only two categories kappa coefficient was 0.745 between experienced surgeons and 0.795 between training surgeons. In all analyzes, we obtained high concordance power.CONCLUSION: Interobserver reproducibility was observed with high concordance in the classification proposed by Glassman for posterolateral arthrodesis of the lumbar and lumbosacral spine.
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SciELO journals
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2022-06-07
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