Background And Purpose: By definition, image-guided neuroendoscopy is a connection between a neuroendoscope and a neuronavigational system creating a computer-guided instrument. Our objective was to adapt our rigid endoscope with our neuronavigation system to perform computer-guided endoscopy.
Methods And Results: The rigid neuroendoscope, equipped with light emitting diodes, was connected to the work station. We report our early results with this device in 17 patients: 8 ventriculocisternostomies, 5 ventriculocisternostomies with biopsies of tumors of the posterior part of the third ventricule, 4 biopsies or tumor removal like colloid cysts. No technical complications were encountered.
Conclusions: The development of image-guided neuroendoscopy has modified our approach to neuroendoscopy because the surgical procedure is facilitated. The use of fluoroscopy becomes unnecessary. The surgeon can choose, independent of the preestablish surgical technique, the entry point, the target and, of course, the optimal trajectory. The technique is adaptable to the individual anatomy of each patient, the location and the nature of the target. It is an undeniably useful teaching tool and represents a real progress in minimally invasive neurosurgery.
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World Neurosurg
November 2024
Department of Neurosurgery, Dell Medical School, University of Texas, Austin, Texas, USA.
Trials
October 2024
Department of Neurosurgery, University Hospital Basel, Spitalstrasse 21, Basel, CH-4031, Switzerland.
World Neurosurg
July 2024
Department of Neurosurgery, Kermanshah University of Medical Sciences, Kermanshah, Iran. Electronic address:
World Neurosurg
May 2024
Pediatric Neurosurgery, Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Berlin, Germany. Electronic address:
Objective: Precise planning and execution is key for neuroendoscopic interventions, which can be based on different available aiding technologies. The aim of this retrospective study is to report a case-based use of guided neuroendoscopy and to develop a stratification algorithm for the available technologies.
Methods: We reviewed consecutive neuroendoscopic cases performed at our center from 2016 to 2018.
IEEE Trans Med Robot Bionics
February 2022
Department of Biomedical Engineering and Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Conventional neuro-navigation can be challenged in targeting deep brain structures via transventricular neuroendoscopy due to unresolved geometric error following soft-tissue deformation. Current robot-assisted endoscopy techniques are fairly limited, primarily serving to planned trajectories and provide a stable scope holder. We report the implementation of a robot-assisted ventriculoscopy (RAV) system for 3D reconstruction, registration, and augmentation of the neuroendoscopic scene with intraoperative imaging, enabling guidance even in the presence of tissue deformation and providing visualization of structures beyond the endoscopic field-of-view.
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