Projektbeschreibung
About 2% of the global population is prevalent to intracranial aneurysms, leading to stroke and hemorrhage, especially in the active young population. Only highly skilled neurosurgeons are trained to treat an aneurysm and perform such a delicate surgical procedure. As a result, the average wait time for patients is 2-3 months globally. Microsurgical skills are generally acquired in a self-directed way through many live surgical experiences a trainee wishes to participate in. And because brain surgeries are heterogeneous, patient-specific, and difficult to plan, board-certified surgeons find most surgery challenging. Limited methods and lack of suitable training tools outside the OR mean that surgeons struggle to practice microsurgical steps and predict before the surgery. SurgeonsLab’s SurgTrainTM simulator can train a neurosurgeon pre-operatively on a single patient-specific basis in a real physical environment. This method allows the surgeon to predict and prepare for the surgery in advance. In addition, the simulator training will reduce postoperative complications, repeated surgeries, and interventions.
Project Goal: Development of Patient-Specific Neurosurgical Simulator towards bringing single patient outcome
Intended Impact: Treating a small pilot group of a patient population with the simulator
Stand/Resultate
During this project stage, we optimized the existing simulator suitable for patient-specific training, standardized our head model production protocols, converted DICOM to a 3D model algorithm, and conducted a feasibility study. The patient-specific research was carried out for two patients by two neurosurgeons and reviewed by a blinded neurosurgeon. The Innobooster project aims to complete the process workflow in preparing patient-specific replicas for personalized case training:
1. Patient-specific simulation and pre-operative training: Complete R&D activities and implement the automated production process.
2. First steps to product-market-hospital economic fit: Validating the methods in clinical procedural cost. Seeks to validate the clinical and economic benefits of patient-specific planning of complex neurosurgery and develop quantifiable business value proportion.
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Am Projekt beteiligte Personen
Letzte Aktualisierung dieser Projektdarstellung 17.01.2023