World Neurosurg
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Retraction Of Publication
Risk factors for early subsidence of 3D Printed Artificial vertebral after anterior cervical corpectomy and fusion.
This article has been withdrawn at the request of the author(s) and/or editor. After numerous emails to corresponding author and co-authors, over several months, there has been no response via email nor any attempt to answer the queries that are associated with the page proofs. ⋯ The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/policies/article-withdrawal.
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Exoscope use in spinal neurosurgery has become a promising surgical option providing enhanced operative field visibility and ergonomics. However, data on its use in spine surgery are underreported in the literature. We aimed to assess the intraoperative outcomes in exoscope-assisted spine surgery compared with similar procedures performed using the operative microscope. ⋯ The use of the exoscope resulted in a shorter operative time, less blood loss, a shorter length of stay, and favorable clinical outcomes compared with the use of the operative microscope. Neurosurgeons should consider this seemingly efficacious and ergonomically favorable visual technology for spinal surgeries.
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The objective of this study was to determine the long-term outcomes of microendoscopic foraminotomy in treating lumbar foraminal stenosis and identify the optimal extent of decompression that yields improved results and fewer complications. ⋯ This study provides evidence supporting the long-term efficacy of microendoscopic foraminotomy for lumbar foraminal stenosis and predicting surgical success. The 45.0% O/D complex occupancy cut-off value can guide patient selection and outcome prediction. These insights contribute to informed surgical decision-making and underscore the importance of evaluating the O/D complex in preoperative planning and predicting outcomes.
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The role of surgery in spontaneous intracerebral hemorrhage (SICH) remains controversial. We aimed to use explainable machine learning (ML) combined with propensity-score matching to investigate the effects of surgery and identify subgroups of patients with SICH who may benefit from surgery in an interpretable fashion. ⋯ Explainable ML approaches could elucidate how ML models predict outcomes in SICH and identify subgroups of patients who respond to surgery. Future research in SICH should focus on an explainable ML-based approach that can identify subgroups of patients who may benefit functionally from surgical intervention.
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This study aims to identify clinical factors that may predict failed endoscopic lumbar spine surgery to guide surgeons with patient selection during the initial learning curve. ⋯ The outcomes of endoscopic spine surgery are encouraging with low complication and reoperation rates. However, patients with calcified disc herniations, central canal stenosis, or disc herniation with concurrent degenerative stenosis present challenges during the initial learning curve and may benefit from traditional open or other minimally invasive techniques.