World Neurosurg
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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.
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Three-dimensional (3D) printing technology presents a promising avenue for the development of affordable neurosurgical simulation models, addressing many challenges related to the use of cadavers, animal models, and direct patient engagement. The aim of this study is to introduce and evaluate a new high-fidelity neurosurgical simulation model targeted for both burr hole and craniotomy procedures. ⋯ The findings indicate that widely accessible and economical desktop SLA 3D printers can provide an effective solution in neurosurgical training, thus promoting their integration in hospitals.
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The aim of this study is to evaluate the efficacy of cerebral revascularization for Moyamoya disease (MMD) with extracranial internal carotid artery occlusion (ICAO). ⋯ Cerebral revascularization can prevent recurrent ischemic and hemorrhagic stroke events for MMD patients with extracranial ICAO. There was no difference on long-term clinical outcomes after combined bypass, direct bypass, and indirect bypass surgery. The cerebral revascularization has similar effect on the MMD patients with extracranial ICAO and MMD patients without extracranial ICAO.
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Spinal injuries occur in 3% of all patients with trauma, most commonly in males, and often as a result of high-velocity impact followed by abrupt deceleration. The most affected region after spinal trauma is the thoracolumbar junction because of the anterior center of gravity at the T12-L1 vertebral level and the relatively stiff thoracic spine uniting with the mobile lumbar spine. Many classifications exist to guide the choice of operative versus nonoperative management of traumatic injuries at this site. ⋯ Ignoring this aspect of thoracolumbar management often contributes to the development of posttraumatic malalignment and other complications. This review recommends that a new or modified classification system accounts for sagittal segmental alignment factors, including the level of the injured vertebra, the number of affected adjacent levels, imaging techniques with better specificity and sensitivity, and assessment for osteoporosis. Case studies are included to show the importance of segmental sagittal alignment and the vertebral level on patient outcomes.
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Disparities in access and delivery of care have been shown to disproportionately affect certain racial groups. Studies have been conducted to assess these disparities within the spinal metastasis population, but the extent of their effects in the setting of other socioeconomic measures remains unclear. The purpose of this study was to perform a systematic review to understand the effect of racial disparities on outcomes in patients with metastatic spine disease. ⋯ Although some studies suggest race to be associated with presenting characteristics, treatment type and outcome of patients with spinal metastases, there was significant variability in the inclusion of measures of socioeconomic status in study analyses. As such, the association between race and outcomes in oncologic spine surgery remains unclear.