Domagoj Dlaka1, Marko Švaco2,1, Darko Chudy1,3,4, Bojan Jerbić2,1, Bojan Šekoranja2,1, Filip Šuligoj2,1, Josip Vidaković2,1, Dominik Romić1, Marina Raguž1,3. 1. Department of Neurosurgery, University Hospital Dubrava, Zagreb, Croatia. 2. Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb, Croatia. 3. Croatian Institute for Brain Research, School of Medicine University of Zagreb, Zagreb, Croatia. 4. Department of Surgery, School of Medicine, University of Zagreb, Zagreb, Croatia.
Abstract
BACKGROUND: We present a novel robotic neuronavigation system (RONNA G4), used for precise preoperative planning and frameless neuronavigation, developed by a research group from the University of Zagreb and neurosurgeons from the University Hospital Dubrava, Zagreb, Croatia. The aim of study is to provide comprehensive error measurement analysis of the system used for the brain biopsy. METHODS: Frameless stereotactic robot-assisted biopsies were performed on 32 consecutive patients. Post-operative CT and MRI scans were assessed to precisely measure and calculate target point error (TPE) and entry point error (EPE). RESULTS: The application accuracy of the RONNA system for TPE was 1.95 ± 1.11 mm, while for EPE was 1.42 ± 0.74 mm. The total diagnostic yield was 96.87%. Linear regression showed statistical significance between the TPE and EPE, and the angle of the trajectory on the bone. CONCLUSION: The RONNA G4 robotic system is a precise and highly accurate autonomous neurosurgical assistant for performing frameless brain biopsies.
BACKGROUND: We present a novel robotic neuronavigation system (RONNA G4), used for precise preoperative planning and frameless neuronavigation, developed by a research group from the University of Zagreb and neurosurgeons from the University Hospital Dubrava, Zagreb, Croatia. The aim of study is to provide comprehensive error measurement analysis of the system used for the brain biopsy. METHODS: Frameless stereotactic robot-assisted biopsies were performed on 32 consecutive patients. Post-operative CT and MRI scans were assessed to precisely measure and calculate target point error (TPE) and entry point error (EPE). RESULTS: The application accuracy of the RONNA system for TPE was 1.95 ± 1.11 mm, while for EPE was 1.42 ± 0.74 mm. The total diagnostic yield was 96.87%. Linear regression showed statistical significance between the TPE and EPE, and the angle of the trajectory on the bone. CONCLUSION: The RONNA G4 robotic system is a precise and highly accurate autonomous neurosurgical assistant for performing frameless brain biopsies.