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Recent advances in synthetic virtual 3D endoscopy to assist in skull base surgery.
[INTRODUCTION] The advent of the operating microscope revolutionized neurosurgery by introducing stereoscopic visualization and enabling microneurosurgery. Endoscopy, in turn, brought a compact, wide-angle view through minimal access corrid…
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Multidisciplinary management of complex scalp wounds: an experience-based algorithm for involving plastic surgeons in complex neurosurgical wound closure.
[OBJECTIVE] In complex cranial wound closures, plastic and reconstructive surgeons provide advanced techniques to improve healing and reduce complications, including infection. Although this multidisciplinary approach shows promise, data su…
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Virtual Reality Planning of Microvascular Decompression in Trigeminal Neuralgia: Technique and Clinical Outcome.
[BACKGROUND] A neurovascular conflict (NVC) is considered the cause of trigeminal neuralgia (TN) in 75% of cases, and if so, a microvascular decompression (MVD) can lead to significant pain relief. A reliable preoperative detection of NVC …
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Microneurosurgical removal of thalamic lesions: surgical results and considerations from a large, single-surgeon consecutive series.
[OBJECTIVE] The object of this study was to present the surgical results of a large, single-surgeon consecutive series of patients who had undergone transcisternal (TCi) or transcallosal-transventricular (TCTV) endoscope-assisted microsurge…
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Validation of the Clavien-Dindo grading system of complications for microsurgical treatment of unruptured intracranial aneurysms.
[OBJECTIVE] Microsurgery plays an essential role in managing unruptured intracranial aneurysms (UIAs). The Clavien-Dindo classification is a therapy-oriented grading system that rates any deviation from the normal postoperative course in fi…
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Development of machine learning-based preoperative predictive analytics for unruptured intracranial aneurysm surgery: a pilot study.
[BACKGROUND] The decision to treat unruptured intracranial aneurysms (UIAs) or not is complex and requires balancing of risk factors and scores. Machine learning (ML) algorithms have previously been effective at generating highly accurate a…