Spine
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Observational Study
External Validation of SpineNet, an Open-source Deep Learning Model for Grading Lumbar Disc Degeneration MRI Features, Using the Northern Finland Birth Cohort 1966.
This is a retrospective observational study to externally validate a deep learning image classification model. ⋯ In this study, SpineNet has been benchmarked against expert human raters in the research setting. It has matched human reliability and demonstrates robust performance despite the multiple challenges facing model generalizability.
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This study used a French prospective national multi-center database of patients with spine metastasis (SpM). ⋯ Patients with poor ECOG-PS could benefit from surgery. Even though survival gain is small, it permits the preservation of their neurological function. By making ambulation possible, pain is decreased during the last months of their lives.
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A retrospective cohort study. ⋯ The administration of vancomycin suspended in fibrin glue was significantly associated with a lower likelihood of SSI in patients undergoing spinal instrumentation surgery.
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Multicenter Study
Optimizing the Definition of Proximal Junctional Kyphosis: A Sensitivity Analysis.
Diagnostic binary threshold analysis. ⋯ Out of all possible PJA magnitude and change combinations, without stratifying by upper thoracic versus lower thoracic fusions, a magnitude of ≤-28° and a change of ≤-22° provide the best test performance metrics for predicting PJF.
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Prospective cohort study. ⋯ 3.