World Neurosurg
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To compare predictive performance for pedicle screw loosening between computed tomography (CT)-based Hounsfield units (HU) and magnetic resonance imaging (MRI)-based vertebral bone quality score (VBQ) after lumbar surgery. ⋯ MRI-based VBQ score and CT-based HU value have similar performance in predicting pedicle screw loosening after lumbar surgery. Furthermore, in patients with lumbar spinal stenosis, VBQ score demonstrated better predictive ability than HU value.
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Comparative Study
Comparison of the efficacy of complete endoscopic and microscopic vascular decompression in the treatment of classical Trigeminal neuralgia.
To compare whether there is a difference in the efficacy of complete endoscopic microvascular decompression (EVD) and microscopic microvascular decompression (MVD) in patients with classical trigeminal neuralgia (CTN). ⋯ For CTN patients, compared with traditional MVD, EVD is also safe and effective and has the advantage of shorter decompression time.The predictive results of prognostic factors also suggest that CTN patients may benefit more from early surgical treatment.
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To compare the stability of a corticopedicular posterior fixation (CPPF) device with traditional pedicle screws for decompression and fusion in adult degenerative lumbar spondylolisthesis. ⋯ CPFF fixation demonstrated similar segmental stability to traditional pedicle screw fixation whereas tensile forces and stress in surrounding cortical bone remained below the load to failure.
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Artificial intelligence (AI) is expected to play a greater role in neurosurgery. There is a need for neurosurgeons capable of critically appraising AI literature to evaluate its implementation or communicate information to patients. However, there are a lack of courses delivered at a level appropriate for individuals to develop such skills. We assessed the impact of a 2-day (non-credit bearing) online digital literacy course on the ability of individuals to critically appraise AI literature in neurosurgery. ⋯ Bespoke courses delivered at an appropriate level can improve clinicians' understanding of the application of AI in neurosurgery, without the need for in-depth technical knowledge or programming skills.