World Neurosurg
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Comparative Study
Perioperative Comparison of Robotic-Assisted versus Fluoroscopy-Guided Minimally Invasive Transforaminal Lumbar Interbody Fusion (TLIF).
Robotic surgical systems have been developed to improve spine surgery accuracy. Studies have found significant reductions in screw revision rates and radiation exposure with robotic assistance compared with open surgery. The aim of the present study was to compare the perioperative outcomes between robot-assisted (RA) and fluoroscopically guided (FG) minimally invasive (MI) transforaminal lumbar interbody fusion (TLIF) performed by a single surgeon. ⋯ Our results have demonstrated that RA MI-TLIF provides perioperative outcomes comparable to those with FG MI-TLIF. A reduced radiation dose to the patient was observed with RA compared with FG MI-TLIF. No differences were noted between the RA and FG cohorts in operative times, complication rates, revision rates, or length of stay.
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Case Reports Observational Study
Surgical Treatment for the Cluster Headache: Clinical experience.
Cluster headache (CH) refers to the most painful primary headache that sometimes leads to poor quality of life and associated disability. So far, no treatment has been found to cure CHs. In this study, we introduce a novel and effective surgery for CH. ⋯ All 6 patients with CH received surgery by transection greater superficial petrosal nerve and deep petrosal nerve pathway to the sphenopalatine ganglion and were completely cured, and adverse events and serious complications did not occur.
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Clinical Trial
A Prospective Validation Study of the First 3D Digital Exoscope for Visualization of 5-ALA Induced Fluorescence in High Grade Gliomas.
We report on the first use of a digital 3-dimensional (3D) exoscope equipped with a 5-aminolevulinic acid (5-ALA) fluorescence visual system. ⋯ Visualization of 5-ALA-induced tumor fluorescence with use of the Orbeye 3D digital exoscope was feasible and associated with a high positive predictive value.
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This study aims to evaluate the performance of convolutional neural networks (CNNs) trained with resting-state functional magnetic resonance imaging (rfMRI) latency data in the classification of patients with pediatric epilepsy from healthy controls. ⋯ Using rfMRI latency data, we trained a CNN model to classify patients with pediatric epilepsy from healthy controls with good performance. CNN could serve as an adjunct in the diagnosis of pediatric epilepsy. Identification of pediatric epilepsy earlier in the disease course could decrease time to referral to specialized epilepsy centers and thus improve prognosis in this population.
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Rupture of spinal aneurysms is a rare cause of subarachnoid hemorrhage. These aneurysms are often associated with a variety of vascular malformations that increase blood flow in the spinal circulation or with disorders that compromise the vessel wall. However, spinal aneurysms may be isolated, not associated with any known predisposing condition. The objective of this study is to explore the possible mechanisms associated with the formation and rupture of isolated spinal aneurysms (ISAs). ⋯ We suggest that the straining during prolonged retching and vomiting plays a role in the formation and rupture of some ISAs, possibly because of pressure spikes, increased transmural arterial pressure, and increased wall shear stress during straining.