European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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To evaluate the effect of baseline back pain severity on PROMIS mental health outcomes following minimally invasive lumbar decompression (LD). ⋯ Patients with worse baseline back pain report inferior baseline scores that converge with those with milder preoperative back pain by 6 weeks after LD and reported greater 6-week improvements in disability, pain interference, and sleep disturbance by 6 weeks, and greater improvements in disability and sleep disturbance by final follow-up.
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To provide lumbar spine anatomical parameters relevant to the UBE technique and explore their intraoperative application. ⋯ Referring to the drill diameter during surgery can mark the extent of laminotomy. The characteristics of vertebral plate angles at different lumbar levels can provide references for preoperative incision design.
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Observational Study
The effect of preemptive retrolaminar block on lumbar spinal decompression surgery.
Spinal decompression surgery causes severe pain. Retrolaminar block (RLB) is block, which is done by infiltration of local anesthetic to block spinal nerves between the lamina and superior costotransversospinalis muscle. The primary aim of this study is to evaluate the effectiveness of RLB on postoperative analgesia in patients undergoing spinal surgery. Secondary aims are effects on additional anesthetic and analgesic consumption. ⋯ Preemptive RLB may be used to reduce patients' pain in lumbar decompression surgery as well as to be part of a multimodal analgesia and anesthesia regimen to reduce anesthetic and analgesic drug consumption. Trial registration numberClinicalTrials.gov (No. NCT04209907).
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To develop a deep neural network for the detection of inflammatory spine in short tau inversion recovery (STIR) sequence of magnetic resonance imaging (MRI) on patients with axial spondyloarthritis (axSpA). ⋯ The developed deep neural network showed similar sensitivity and specificity to a radiologist with four years of experience. The results indicated that the network can provide a reliable and straightforward way of interpreting spinal MRI. The use of this deep neural network has the potential to expand the use of spinal MRI in managing axSpA.