Pain physician
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Minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) and percutaneous endoscopic TLIF (PE-TILF) have been widely used in spine surgery. The use of a robot-guided technique provided several advantages; however, few studies have investigated the clinical outcomes of robot-assisted PE-TLIF (PE RA-TLIF). ⋯ PE RA-TLIF is a safe and effective procedure that can significantly improve the accuracy of pedicle screw placement, reduce surgical trauma, and facilitate rapid postoperative recovery. However, this technique has a steep and long learning curve and requires long-term follow-ups.
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Meta Analysis
Gray Matter Abnormalities in Patients with Chronic Primary Pain: A Coordinate-Based Meta-Analysis.
Many structural magnetic resonance imaging (MRI) studies have used voxel-based morphometry (VBM) to identify gray matter abnormalities in patients with chronic primary pain (CPP), but the findings have been inconsistent. ⋯ We identified gray matter changes in CPP patients and female patients, as well as a close relationship between CPP and mental disorders. With the chronicity of pain leads to changes in relevant brain regions, which makes treatment more challenging and may have synergistic effects with affective disorders. More prospective longitudinal structural MRI studies of CPP examining the associations between those variables and gray matter in a larger population should be conducted. Additional prospective longitudinal structural MRI studies of CPP with larger sample sizes to confirm the relationships between these variables and gray matter are needed as well as gender differences of CPP in brain structure and function.
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Observational Study
Computerized Characterization of Spinal Structures on MRI and Clinical Significance of 3D Reconstruction of Lumbosacral Intervertebral Foramen.
Segmentation of spinal structures is important in medical imaging analysis, which facilitates surgeons to plan a preoperative trajectory for the transforaminal approach. However, manual segmentation of spinal structures is time-consuming, and studies have not explored automatic segmentation of spinal structures at the L5/S1 level. ⋯ The 3D-UNet model developed in this study based on deep learning can effectively and simultaneously segment VBSs and IVDs at L5/S1 level formMR images, thereby enabling rapid and accurate 3D reconstruction of LIVF models. The method can be used to segment VBSs and IVDs of spinal structures on MR images within near-human expert performance; therefore, it is reliable for reconstructing LIVF for L5/S1 LTRFA.
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Since its adoption as a treatment for neuropathic pain in the 1960s, radiofrequency ablation (RFA) has continued to gain popularity for the management of various pain etiologies. Although RFA is considered to be a safe procedure, post-neurotomy neuritis (PNN), a neuropathic-type pain, is one of the most common side effects. Due to the increasing recognition of PNN, some providers have attempted to mitigate the risk of PNN by injecting local corticosteroids at the site of RFA following the procedure. Recent studies have generally concluded that corticosteroids do not protect against the development of PNN, however, they have been limited by their retrospective study designs and the low incidence of PNN. ⋯ Overall, our study is in agreement with prior studies that RFA is effective for the treatment of facet and osteoarthritic knee pain and that the incidence of PNN is likely small.
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Pain is essential for survival, but it is also a major clinical, social, and economic problem that demands adequate management. The latter involves timely and accurate assessment, so several efforts have been made to develop accurate and reliable pain assessment tools. Advances in objective pain assessment include a large body of work focused on determining whether autonomic-mediated peripheral responses can be used to predict pain intensity. However, there is still no clinically validated autonomic marker for objective pain assessment. ⋯ The measurement of autonomic responses elicited by experimentally induced pain is one crucial step toward the development of reliable pain assessment tools. Still, several issues need to be addressed before continuing to explore the use of autonomic parameters for the assessment of pain. It is also recommended that future research endeavors in capturing the singularity of the pain experience involve the measurement of both peripheral (end organs) and central (brain) autonomic responses to pain.