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Microneurosurgical Training on Simulators: The Zurich Microsurgery Lab Experience.
Training microsurgical and neurosurgical techniques by using multimodal simulators in the lab is a fundamental component of neurosurgical residency nowadays. The authors of this chapter describe a training curriculum for residents in neuros…
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Intensive 2-days training on perfused human placenta for microvascular anastomoses.
[BACKGROUND AND PURPOSE] We report on an intensive two-day training program on microanastomoses performed on perfused human placenta models. A specific scoring system was elaborated to evaluate the participants' microsurgical skills and rep…
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How we do it: the Zurich Microsurgery Lab technique for placenta preparation.
[BACKGROUND] Perfused placentas provide an excellent and accessible model for microvascular dissection, microsuturing and microanastomosis training - particularly in the early microsurgical learning curve. This way, a significant amount of …
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When Is Diagnostic Subtraction Angiography Indicated Before Clipping of Unruptured and Ruptured Intracranial Aneurysms? An International Survey of Current Practice.
[INTRODUCTION] The goal of this survey is to investigate the indications for preoperative digital subtraction angiography (DSA) before clipping of ruptured and unruptured intracranial aneurysms in an international panel of neurovascular spe…
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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…