Publications by authors named "Nagaraj Anmol"

Background: High grade gliomas are the most common and most lethal primary cancers of the central nervous system.

Case Report: We herein present a case report of a long-term surviving 36-year-old female diagnosed with high grade glioma, for which she underwent neurosurgery with a gross total removal of the tumor. Shortly thereafter (<3 months) she was readmitted in a desolate state due to a large recurrence.

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It is estimated within the western population that 10%-13% of patients possess multiple intracranial aneurysms and are linked to certain risk factors. Thrombotic aneurysms are a rare subgroup of complex aneurysms characterized by an organized intraluminal thrombus. They differ from typical saccular aneurysms in terms of morphology, natural history, symptomatology, and difficulty in treatment with conventional strategies.

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Background: Little is known about the impact of discharge against medical advice (DAMA) in patients admitted with concussion.

Objective: To explore the prevalence of DAMA and its effect on 30-day readmissions and cost in concussion using a nationally representative sample.

Methods: The Nationwide Readmissions Database was queried for concussion admissions and their disposition at discharge between 2010 and 2014.

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Cranial nerve schwannomas accounts for around 8% of all benign intracranial tumors, arising most commonly from the vestibular nerve, followed by the trigeminal nerve and other lower cranial nerves. However, trochlear schwannoma in a patient without neurofibromatosis-2 are extremely rare and to date, fewer than 100 cases have been reported in the literature. They are either asymptomatic or present with ophthalmologic or neurologic symptoms.

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Pericallosal artery aneurysms are rare, accounting for 2%-9% of all intracranial aneurysms. They are most commonly saccular and wide necked. Although typically small, they are more prone to rupture compared with other aneurysms in the anterior circulation.

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William Edward Hunt (1921-1999) and Robert McDonald Hess Jr. (1931-2019) were pioneers in revolutionizing the early surgical management of ruptured intracranial aneurysms. Early on in his career as a professor of neurosurgery at Ohio State University, Dr.

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Recent years have witnessed artificial intelligence (AI) make meteoric leaps in both medicine and surgery, bridging the gap between the capabilities of humans and machines. Digitization of operating rooms and the creation of massive quantities of data have paved the way for machine learning and computer vision applications in surgery. Surgical phase recognition (SPR) is a newly emerging technology that uses data derived from operative videos to train machine and deep learning algorithms to identify the phases of surgery.

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Background: Congenital aortic arch anomalies are commonly encountered during neurointerventional procedures. While some anomalies are identified at an early age, many are incidentally discovered later in adulthood during endovascular evaluations or interventions. Proper understanding of the normal arch anatomy and its variants is pivotal to safely navigate normal aortic arch branches and to negotiate the catheter through anomalies during neurointerventional procedures.

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For thousands of years, anatomical models have served as essential tools in medical instruction. While human dissections have been the regular source of information for medical students for the last few centuries, the scarcity of bodies and the religious and social taboos of previous times made the process of acquiring human cadavers a challenge. The dissection process was dependent on the availability of fresh cadavers and thus was met with a major time constraint; with poor preservation techniques, decomposition turned the process of employing bodies for instruction into a race against time.

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