Journal of neurosurgery
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Journal of neurosurgery · Apr 2024
Purely endoscopic subtemporal keyhole anterior transpetrosal approach to access the petrous apex region: surgical techniques and early results.
The anterior transpetrosal approach using a microscope to provide wider access to the petrous apex region has been described for radical resection of lesions of the middle and posterior skull base. The microscopic anterior transpetrosal approach (mATPA) requires a wide craniotomy and meticulous epidural procedures to minimize temporal lobe retraction. Recently, the clinical application of transcranial endoscopic keyhole approaches for minimally invasive surgery has been steadily expanding. In this study, the details of the purely endoscopic subtemporal keyhole ATPA (eATPA) for petrous apex lesions are described and its initial results are reported. ⋯ An eATPA allows a direct route to access Meckel's cave and posterior cranial fossa lesions similar to conventional mATPA, with shortening the operative time and reducing the risk of postoperative temporal lobe edema. This eATPA is considered one of the new surgical techniques that can be expected to develop in the future.
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Journal of neurosurgery · Apr 2024
Rates of operative intervention and in-hospital mortality following subarachnoid hemorrhage in patients with COVID-19.
COVID-19 had massive effects on the healthcare system and multifactorial implications for the management of intensive care unit and cerebrovascular patients. This study aimed to assess the effect of COVID-19 on the outcomes of patients with aneurysmal subarachnoid hemorrhage (SAH). ⋯ COVID-19 had significant impacts on patients with nontraumatic SAH. Specifically, patients with COVID-19 were significantly less likely to undergo surgery and had higher in-hospital mortality rates; however, for patients who did undergo procedural intervention, there was no significant difference in the type of intervention. Multiple factors, from medical acuity to healthcare system limitations, may contribute to these findings. Further retrospective research is needed to identify both specific causes of lower intervention rates and other potential nonaneurysmal causes of SAH in patients with COVID-19.
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Journal of neurosurgery · Apr 2024
Surgical intervention for cerebral amyloid angiopathy-related lobar intracerebral hemorrhage: a systematic review.
The risks and benefits of surgery for cerebral amyloid angiopathy (CAA)-related lobar intracerebral hemorrhage (ICH) are unclear. The aim of this study was to systematically review the literature on this topic. ⋯ Surgery in CAA-related ICH is safe with no substantial IOH, POH, and early recurrent hemorrhage risk. Outcome appears to be poor, however, especially in older patients, although good quality of evidence is lacking. Patients with CAA should not be excluded from ongoing surgery RCTs in ICH to enable future subgroup analysis of this specific patient population.
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Journal of neurosurgery · Apr 2024
The first neurosurgical service in Texas: neurosurgery at the University of Texas Medical Branch (1937-2023).
The authors present a historical analysis of the first neurosurgical service in Texas. Initially established as a subdivision within the Department of Surgery in the early 1900s, this service eventually evolved into the Department of Neurosurgery at the University of Texas Medical Branch (UTMB). ⋯ Additionally, a detailed account of recent clinical and research expansions is presented, along with the future directions envisioned for the Department of Neurosurgery. This work offers a comprehensive historical narrative of the neurosurgical service at UTMB, chronicling its journey of growth and innovation, and underscoring its profound contributions to Galveston's healthcare services, extending its impact beyond the local community.
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Journal of neurosurgery · Apr 2024
Development and validation of machine learning models to predict postoperative infarction in moyamoya disease.
Cerebral infarction is a common complication in patients undergoing revascularization surgery for moyamoya disease (MMD). Although previous statistical evaluations have identified several risk factors for postoperative brain ischemia, the ability to predict its occurrence based on these limited predictors remains inadequately explored. This study aimed to assess the feasibility of machine learning algorithms for predicting cerebral infarction after revascularization surgery in patients with MMD. ⋯ This study indicates the usefulness of employing machine learning techniques with routine perioperative data to predict the occurrence of cerebral infarction after revascularization procedures in patients with MMD.