Document Detail


An automated technique for the quantitative assessment of 3D-MRSI data from patients with glioma.
MedLine Citation:
PMID:  11169821     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Although proton magnetic resonance spectroscopic imaging (1H-MRSI) has been shown to be effective for localizing tumor in patients with gliomas, it is not a routinely used clinical tool. This is due, in part, to the lack of a standardized, objective method for analyzing spectra. We present an automated technique for a) selecting a population of voxels from each patient that have the spectral features of normal brain regions, and b) using the selected voxels as internal controls for quantifying the probability of abnormality at each voxel location. The technique was demonstrated on a phantom, 14 normal volunteers, and 30 patients with histologically proven tumor. In addition, we demonstrated the usefulness of the method for monitoring patients in serial studies from two glioma patients with progressive disease.
Authors:
T R McKnight; S M Noworolski; D B Vigneron; S J Nelson
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Journal of magnetic resonance imaging : JMRI     Volume:  13     ISSN:  1053-1807     ISO Abbreviation:  J Magn Reson Imaging     Publication Date:  2001 Feb 
Date Detail:
Created Date:  2001-02-22     Completed Date:  2001-06-28     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  9105850     Medline TA:  J Magn Reson Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  167-77     Citation Subset:  IM    
Affiliation:
Department of Radiology, University of California, San Francisco, California 94143, USA. mcknight@mrsc.ucsf.edu
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Adult
Aspartic Acid / analogs & derivatives,  metabolism
Brain / pathology
Brain Neoplasms / diagnosis*,  pathology
Choline / metabolism
Female
Glioma / diagnosis*,  pathology
Humans
Imaging, Three-Dimensional*
Magnetic Resonance Imaging
Magnetic Resonance Spectroscopy*
Male
Models, Statistical
Phantoms, Imaging
Grant Support
ID/Acronym/Agency:
R01 CA799719/CA/NCI NIH HHS; T32 CA66527-01A1/CA/NCI NIH HHS
Chemical
Reg. No./Substance:
56-84-8/Aspartic Acid; 62-49-7/Choline; 997-55-7/N-acetylaspartate

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


Previous Document:  In vivo and in vitro proton NMR spectroscopic studies of thiamine-deficient rat brains.
Next Document:  Magnetization transfer MRI: application to treatment of middle cerebral artery occlusion in rat.