Literature DB >> 12687914

Characterization of untreated gliomas by magnetic resonance spectroscopic imaging.

Sarah J Nelson1, Tracy R McKnight, Roland G Henry.   

Abstract

Although there are trends in the morphologic, metabolic, hemodynamic, and structural properties of untreated gliomas that are reflected in MR measurements, there is considerable heterogeneity both within and between lesions of the same histologic grade. The spatial extent of the abnormality in ADC and RA images is similar to the T2 lesion, but there is no obvious difference in intensity between grades. The rCBV is significantly increased in the enhancing volume of grade 4 lesions but is similar or reduced in intensity for most grade 3 lesions. There are clear differences between the enhancing volumes and the regions with increased Cho that may be highly significant for planning focal therapy. The location and intensity of the Lac/Lip peaks are consistent with those representing regions of necrosis for grade 4 lesions. The fact that small Lac/Lip peaks can also be seen in grade 2 and grade 3 lesions suggests that their presence may be indicative of regions that are likely to progress to a higher grade. If this were the case, it would be valuable for directing biopsies. The correlations between rCBV, Cho, and ADC suggest that cellularity, membrane turnover, and vascularity are linked in grade 4 lesions. It is not clear whether there is any relationship between these parameters regions in grade 2 or grade 3 gliomas. While further work is required to optimize the methodology associated with these MR parameters, it seems likely that combining the information from such measurements may be valuable for predicting outcome and tailoring therapy to individual patients.

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Year:  2002        PMID: 12687914     DOI: 10.1016/s1052-5149(02)00037-0

Source DB:  PubMed          Journal:  Neuroimaging Clin N Am        ISSN: 1052-5149            Impact factor:   2.264


  5 in total

1.  Spatial characteristics of newly diagnosed grade 3 glioma assessed by magnetic resonance metabolic and diffusion tensor imaging.

Authors:  Esin Ozturk-Isik; Andrea Pirzkall; Kathleen R Lamborn; Soonmee Cha; Susan M Chang; Sarah J Nelson
Journal:  Transl Oncol       Date:  2012-02-01       Impact factor: 4.243

2.  The contribution of magnetic resonance spectroscopy and echoplanar perfusion-weighted MRI in the initial assessment of brain tumours.

Authors:  Nicolás Fayed; Pedro J Modrego
Journal:  J Neurooncol       Date:  2005-05       Impact factor: 4.130

3.  Hot spots in dynamic (18)FET-PET delineate malignant tumor parts within suspected WHO grade II gliomas.

Authors:  M Kunz; N Thon; S Eigenbrod; C Hartmann; R Egensperger; J Herms; J Geisler; C la Fougere; J Lutz; J Linn; S Kreth; A von Deimling; J C Tonn; H A Kretzschmar; G Pöpperl; F W Kreth
Journal:  Neuro Oncol       Date:  2011-02-03       Impact factor: 12.300

4.  Relationship between choline and apparent diffusion coefficient in patients with gliomas.

Authors:  Inas S Khayal; Forrest W Crawford; Suja Saraswathy; Kathleen R Lamborn; Susan M Chang; Soonmee Cha; Tracy R McKnight; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2008-04       Impact factor: 4.813

5.  Dynamic 1H-MRS assessment of brain tumors: a novel approach for differential diagnosis of glioma.

Authors:  Tong Tong; Zhong Yang; John W Chen; Jianming Zhu; Zhenwei Yao
Journal:  Oncotarget       Date:  2015-10-13
  5 in total

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