Document Detail

Brain Tumor Surgery with 3D Surface Navigation.
MedLine Citation:
PMID:  22843134     Owner:  NLM     Status:  Publisher    
BACKGROUND:: Precise lesion localization is necessary for neurosurgical procedures not only during the operative approach, but also during the preoperative planning phase. OBJECTIVE:: To evaluate the advantages of three-dimensional brain surface visualization over conventional two-dimensional magnetic resonance images for surgical planning and intraoperative guidance in brain tumor surgery. METHODS:: Preoperative 3D brain surface visualization was performed with neurosurgical planning software in 77 cases (58 gliomas, 7 cavernomas, 6 meningiomas and 6 metastasis). Direct intraoperative navigation on the 3D brain surface was additionally performed in the last 20 cases with a neurosurgical navigation system. For brain surface reconstruction, patient specific anatomy was obtained from MR imaging and brain volume was extracted with skull stripping or watershed algorithms, respectively. 3D visualization was performed by direct volume rendering in both systems. To assess the value of 3D brain surface visualization for topographic lesion localization, a multiple-choice test was developed. To assess accuracy and reliability of 3D brain surface visualization for intraoperative orientation, we topographically correlated superficial vessels and gyral anatomy on 3D brain models with intraoperative images. RESULTS:: The rate of correct lesion localization with 3D was significantly higher (p=0.001, X), while being significantly less time-consuming (p<0.001, X) compared with 2D images. Intraoperatively, visual correlation was found between the 3D images, superficial vessels, and gyral anatomy. CONCLUSION:: The proposed method of 3D brain surface visualization is fast, clinically reliable for preoperative anatomic lesion localization and patient-specific planning, and, together with navigation, improves intraoperative orientation in brain tumor surgery and is relatively independent of brain shift.
Ayguel Mert; Katja Buehler; Garnette R Sutherland; Boguslaw Tomanek; Georg Widhalm; Gregor Kasprian; Engelbert Knosp; Stefan Wolfsberger
Related Documents :
23286184 - Structural-flow trajectories for unravelling 3d tubular bundles.
12756364 - Computational modeling of arterial biomechanics: insights into pathogenesis and treatme...
20924794 - Asci 2010 standardized practice protocol for cardiac magnetic resonance imaging: a repo...
20458434 - Advances in cardiovascular molecular imaging for tracking stem cell therapy.
15104914 - A shockwave approach for web-based clinical motion analysis.
21818734 - Miami classification for probe-based confocal laser endomicroscopy.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-7-26
Journal Detail:
Title:  Neurosurgery     Volume:  -     ISSN:  1524-4040     ISO Abbreviation:  -     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-7-30     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7802914     Medline TA:  Neurosurgery     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
aDepartment of Neurosurgery, Medical University Vienna, Austria bVRVis Research Centre for Virtual Reality and Visualization GmbH, Vienna, Austria cDepartment of Clinical Neurosciences, Division of Neurosurgery, University of Calgary, Canada dInstitute for Biodiagnostics (West), National Research Council, Calgary, Canada eDivision of Neuroradiology of the Department of Radiology, Medical University Vienna, Austria.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Simple and Reliable Determination of the Modified Rankin Scale in Neurosurgical and Neurological Pat...
Next Document:  Contrast Enhanced Ultrasound Ventriculography.