Trending Degenerative News:
- Letter to the editor concerning “ChatGPT versus NASS clinical guidelines for degenerative spondylolisthesis: a comparative analysis” by Ahmed W, et al. (Eur spine J [2024]: doi:10.1007/s00586-024-08198-6)
- Answer to the letter to the editor of P.P. Ray concerning “ChatGPT versus NASS clinical guidelines for degenerative spondylolisthesis: a comparative analysis” by Ahmed W, et al. (Eur Spine J [2024]: doi:10.1007/s00586-024-08198-6)
- Prediction of cervical spondylotic myelopathy from a plain radiograph using deep learning with convolutional neural networks
- Answer to the letter to the editor of D. Li, et al. concerning “Do all symptomatic adjacent segment diseases (ASD) require surgery? A prognostic classification and predictors of surgical treatment of lumbar ASD” by RM Kanna, et al. (Eur Spine J [2025]: doi: 10.1007/s00586-025-08797-x)
- Spinal phenotypes on MRI and X-ray alone cannot predict short-term progression of lumbar disc degeneration
- How reliable are the Core Outcome Measures Index and Global Treatment Outcome as measures of treatment success after surgery for central lumbar spinal canal stenosis?
- Radiographic parameter differences in degenerative scoliosis with/without degenerative lumbar spondylolisthesis
- Biomarkers in cerebrospinal fluid of persistent neuropathic pain after lumbar stenosis surgery
- CT- and MRI-based endplate osteoporosis status assessment for predicting adjacent vertebral fractures after thoracolumbar percutaneous kyphoplasty: a matched comparison study
- Comparison of lumbar disc degeneration grading between deep learning model SpineNet and radiologist: a longitudinal study with a 14-year follow-up
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