OBJECTIVE: To integrate spatial three-dimensional information concerning the pyramidal tracts into a customized system for frameless neuronavigation during brain tumor surgery. METHODS: Four consecutive patients with intracranial tumors in eloquent areas underwent diffusion-weighted and anatomic magnetic resonance imaging studies within 48 hours before surgery. Diffusion-weighted datasets were merged with anatomic data for navigation purposes. The pyramidal tracts were segmented and reconstructed for three-dimensional visualization. The reconstruction results, together with the fused-image dataset, were available during surgery in the environment of a customized neuronavigation system. RESULTS: In all four patients, the combination of reconstructed data and fused images was a helpful additional source of information concerning the tumor seat and topographical interaction with the pyramidal tract. In two patients, intraoperative motor cortex stimulation verified the tumor seat with regard to the precentral gyrus. CONCLUSION: Diffusion-weighted magnetic resonance imaging allows individual estimation of large fiber tracts applicable as important information in intraoperative neuronavigation and in planning brain tumor resection. A three-dimensional representation of fibers associated with the pyramidal tract during brain tumor surgery is feasible with the presented technique and is a helpful adjunct for the neurosurgeon. The main drawbacks include the length of time required for the segmentation procedure, the lack of direct intraoperative control of the pyramidal tract position, and brain shift. However, mapping of large fiber tracts and its intraoperative use for neuronavigation have the potential to increase the safety of neurosurgical procedures and to reduce surgical morbidity.
OBJECTIVE: To integrate spatial three-dimensional information concerning the pyramidal tracts into a customized system for frameless neuronavigation during brain tumor surgery. METHODS: Four consecutive patients with intracranial tumors in eloquent areas underwent diffusion-weighted and anatomic magnetic resonance imaging studies within 48 hours before surgery. Diffusion-weighted datasets were merged with anatomic data for navigation purposes. The pyramidal tracts were segmented and reconstructed for three-dimensional visualization. The reconstruction results, together with the fused-image dataset, were available during surgery in the environment of a customized neuronavigation system. RESULTS: In all four patients, the combination of reconstructed data and fused images was a helpful additional source of information concerning the tumor seat and topographical interaction with the pyramidal tract. In two patients, intraoperative motor cortex stimulation verified the tumor seat with regard to the precentral gyrus. CONCLUSION: Diffusion-weighted magnetic resonance imaging allows individual estimation of large fiber tracts applicable as important information in intraoperative neuronavigation and in planning brain tumor resection. A three-dimensional representation of fibers associated with the pyramidal tract during brain tumor surgery is feasible with the presented technique and is a helpful adjunct for the neurosurgeon. The main drawbacks include the length of time required for the segmentation procedure, the lack of direct intraoperative control of the pyramidal tract position, and brain shift. However, mapping of large fiber tracts and its intraoperative use for neuronavigation have the potential to increase the safety of neurosurgical procedures and to reduce surgical morbidity.
Authors: D Winkler; G Strauss; S Hesse; A Goldammer; M Hund-Georgiadis; A Richter; O Sabri; T Kahn; J Meixensberger Journal: Radiologe Date: 2004-07 Impact factor: 0.635
Authors: Nils H Ulrich; Ralf A Kockro; David Bellut; Christina Amaxopoulou; Oliver Bozinov; Jan-Karl Burkhardt; Johannes Sarnthein; Spyros S Kollias; Helmut Bertalanffy Journal: Neurosurg Rev Date: 2014-05-07 Impact factor: 3.042
Authors: Sonia Pujol; William Wells; Carlo Pierpaoli; Caroline Brun; James Gee; Guang Cheng; Baba Vemuri; Olivier Commowick; Sylvain Prima; Aymeric Stamm; Maged Goubran; Ali Khan; Terry Peters; Peter Neher; Klaus H Maier-Hein; Yundi Shi; Antonio Tristan-Vega; Gopalkrishna Veni; Ross Whitaker; Martin Styner; Carl-Fredrik Westin; Sylvain Gouttard; Isaiah Norton; Laurent Chauvin; Hatsuho Mamata; Guido Gerig; Arya Nabavi; Alexandra Golby; Ron Kikinis Journal: J Neuroimaging Date: 2015-08-11 Impact factor: 2.486