World Neurosurg
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Arteriovenous malformations (AVMs) are a highly complex array of abnormal arteries and veins that directly fistulize without intervening capillary beds.1 As AVMs can differ in size, location, and morphology, specific clinical management is determined for each individual patient, in conjunction with their specific goals and needs.2 This Video demonstrates the resection of an AVM located in the language area of eloquent cortex of a 38-year-old opera singer. The patient presented to the emergency department with a new-onset seizure. Magnetic resonance imaging including task-based functional imaging demonstrated a left post temporal AVM with associated hemosiderin-stained white matter and language activation just posterior to the lesion. ⋯ At follow-up, the patient was clinically intact, seizure free, and off all antiepileptic medications. At 3 months, she resumed her career as an opera singer. Awake resection with intraoperative functional mapping can be used for select small AVMs to avoid injury to functional tissue and allow more aggressive resection of potentially epileptogenic tissue.
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The initiation of anticoagulant administration after large vessel occlusion (LVO) or stenosis with nonvalvular arterial fibrillation (NAVF) is controversial. We evaluate the timing of anticoagulation and its relationship with clinical factors. ⋯ Early administration of apixaban is induced by nonsevere infarction, reperfusion therapy or none of intracranial hemorrhage and it correlates with an independent long-term outcome.
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Endovascular treatment of cervical internal carotid artery (ICA) loop dissections in acute stroke interventions can be challenging. Flow diverters can effectively reconstruct vessel loops and treat the injured vessel and provide a safe conduit for intracranial catheterization. ⋯ Use of flow diverters, in some cases in conjunction with (carotid) stents, is an effective treatment option for cervical carotid artery (loop) dissections.
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In this paper, we shed the light on Beirut's blast that took place in the coronavirus disease 2019 (COVID-19) era. An explosion that ripped the heart of Beirut, it produced a destructive shock wave that left thousands of casualties and people homeless. This explosion, which had a mushroom-like cloud appearance similar to that of Hiroshima and Nagasaki, was described as the third-biggest explosion in human history. It was a blast that not only destroyed lives but also fell as a heavy burden on the shoulders of a country that was suffering from unprecedented economic crisis on top of the COVID-19 pandemic. Facing all this, health care providers were the first line of defense in what looked like an impossible mission. ⋯ The rate-limiting step in such disasters is definitely a well-prepared trained team with a prompt and fast response. And, since time is brain, then what saves the brain is proper timing.
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To develop a model based on machine learning to predict surgical site infection (SSI) risk in patients after lumbar spinal surgery (LSS). ⋯ This study developed a machine learning model and a web predictor for predicting SSI in patients after LSS, which may help clinicians screen high-risk patients, provide personalized treatment, and reduce the incidence of SSI after LSS.