World Neurosurg
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Deep brain stimulation (DBS) is a well-established treatment for Parkinson's disease (PD). However, infection following DBS surgery is a serious complication that can lead to the recurrence and worsening of Parkinson's symptoms or related hardware reimplantation, causing considerable patient suffering and financial burden. ⋯ Scalp incision infections following DBS surgery can affect deep tissues, and the implementation of a comprehensive treatment strategy involving local debridement and removal of potentially affected implants can significantly reduce the risk of infection recurrence and its spread.
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Thoracic discectomy procedures require early and adequate pain control to alleviate patient discomfort after surgery. The intraoperative placement of a nerve block after intercostal nerve violation can offer early pain management after thoracic discectomy. ⋯ Intercostal nerve blockage offers a valuable addition to postoperative pain management and may be considered as an available pain relief option for patients undergoing thoracic discectomy.
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The demographics of the population with spinal cord injury (SCI) have been dynamic over time, especially as a result of aging. This study investigated the patterns of SCI admissions by age in the United States over the past decade. ⋯ The incidence of SCI increased. High cervical and incomplete injuries increased, whereas complete SCIs declined. In-hospital and 1-year mortality decreased. There was recovery in select cases of complete SCIs within 1 year.
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To study the incidence of congenital posterior arch defects of the atlas and in combination with other congenital variations in the Chinese population. ⋯ The incidence of congenital posterior arch defects of the atlas was low in a Chinese population. There was no difference between male and female individuals. Types A and B were the 2 major defects in this Chinese population, and the prevalence of type A and B combined with other congenital cervical variations were higher than those of types C, D, and E.
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Deep learning enables precise hand tracking without the need for physical sensors, allowing for unsupervised quantitative evaluation of surgical motion and tasks. We quantitatively assessed the hand motions of experienced cerebrovascular neurosurgeons during simulated microvascular anastomosis using deep learning. We explored the extent to which surgical motion data differed among experts. ⋯ Hand tracking data showed similarities among experts, with low movements from baseline, minimal excess motion, and rhythmic suturing patterns. The data revealed unique patterns related to each expert's habits and techniques. The results showed that surgical motion can be correlated with hand motion and assessed using mathematical algorithms. We also demonstrated the feasibility and potential of deep learning-based motion detection to enhance surgical training.