Preoperative diffusion tensor imaging: improving neurosurgical outcomes in brain tumor patients. Neuroimaging Clin N Am 2014 Nov;24(4):599-617
Date
12/03/2014Pubmed ID
25441503DOI
10.1016/j.nic.2014.08.002Scopus ID
2-s2.0-84908507181 (requires institutional sign-in at Scopus site) 26 CitationsAbstract
Preoperative mapping has revolutionized neurosurgical care for brain tumor patients. Maximizing resections has improved diagnosis, optimized treatment algorithms, and decreased potentially devastating postoperative deficits. Although mapping has multiple steps and complimentary localization sources, diffusion tensor imaging (DTI) excels in its essential role in depicting white matter tracts. A thorough understanding of DTI, data visualization methods, and limitations with mastery of functional and dysfunctional white matter anatomy is necessary to realize the potential of DTI. By establishing spatial relationships between lesion borders and functional networks preoperatively and intraoperatively, DTI is central to high-risk neurosurgical resections and becoming the standard of care.
Author List
Ulmer JL, Klein AP, Mueller WM, DeYoe EA, Mark LPAuthors
Edgar A. DeYoe PhD Adjunct Professor in the Radiology department at Medical College of WisconsinAndrew P. Klein MD Chief, Associate Professor in the Radiology department at Medical College of Wisconsin
Wade M. Mueller MD Professor in the Neurosurgery department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
Brain NeoplasmsDiffusion Tensor Imaging
Evidence-Based Medicine
Humans
Neurosurgical Procedures
Preoperative Care
Surgery, Computer-Assisted
Treatment Outcome
White Matter