Literature DB >> 17432719

Correlation of magnetic resonance spectroscopic and growth characteristics within Grades II and III gliomas.

Tracy R McKnight1, Kathleen R Lamborn, Tonya D Love, Mitchel S Berger, Susan Chang, William P Dillon, Andrew Bollen, Sarah J Nelson.   

Abstract

OBJECT: The accurate diagnosis of World Health Organization Grades II and III gliomas is crucial for the effective treatment of patients with such lesions. Increased cell density and mitotic activity are histological features that distinguish Grade III from Grade II gliomas. Because increased cellular proliferation and density both contribute to the in vivo magnetic resonance (MR) spectroscopic peak corresponding to choline-containing compounds (Cho), the authors hypothesized that multivoxel MR spectroscopy might help identify the tumor regions with the most aggressive growth characteristics, which would be optimal locations for biopsy. They investigated the ability to use one or more MR spectroscopic parameters to predict the MIB-1 cell proliferation index (PI), the terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate nick-end labeling cell death index (DI), the cell density, and the ratio of proliferation to cell death (PI/DI) within different regions of the same tumor.
METHODS: Patients with presumed Grades II or III glioma underwent 3D MR spectroscopic imaging prior to surgery, and two or three regions within the tumor were targeted for biopsy retrieval based on their spectroscopic features. Biopsy specimens were extracted from the tumor during image-guided resection, and the PI, DI, and cell density were assessed in the specimens using immunohistochemical methods.
CONCLUSIONS: The authors found that the relative levels of Cho and N-acetylaspartate (NAA) correlated with the cell density, PI, and PI/DI ratio within different regions of the same tumor and that the association held for the subpopulation of nonenhancing tumors. The association was stronger in tumors with large ranges of Cho/NAA values, irrespective of the presence of contrast enhancement. The findings demonstrate the validity of using MR spectroscopy to identify regions of aggressive growth in presumed Grade II or III gliomas that would be suitable targets for retrieving diagnostic biopsy specimens.

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Year:  2007        PMID: 17432719     DOI: 10.3171/jns.2007.106.4.660

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  44 in total

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2.  The relationship between Cho/NAA and glioma metabolism: implementation for margin delineation of cerebral gliomas.

Authors:  Jun Guo; Chengjun Yao; Hong Chen; Dongxiao Zhuang; Weijun Tang; Guang Ren; Yin Wang; Jinsong Wu; Fengping Huang; Liangfu Zhou
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3.  Analysis of cancer metabolism by imaging hyperpolarized nuclei: prospects for translation to clinical research.

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Journal:  Neoplasia       Date:  2011-02       Impact factor: 5.715

4.  Preoperative grading of supratentorial nonenhancing gliomas by high b-value diffusion-weighted 3 T magnetic resonance imaging.

Authors:  Haiwei Han; Chengkun Han; Xiurong Wu; Shan Zhong; Xiongjie Zhuang; Guowei Tan; Hua Wu
Journal:  J Neurooncol       Date:  2017-04-24       Impact factor: 4.130

5.  Potential role for magnetoencephalography in distinguishing low- and high-grade gliomas: a preliminary study with histopathological confirmation.

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6.  Proton magnetic resonance spectroscopy predicts survival in children with diffuse intrinsic pontine glioma.

Authors:  Emilie A Steffen-Smith; Joanna H Shih; Sean J Hipp; Robyn Bent; Katherine E Warren
Journal:  J Neurooncol       Date:  2011-05-13       Impact factor: 4.130

7.  Choline metabolism, proliferation, and angiogenesis in nonenhancing grades 2 and 3 astrocytoma.

Authors:  Tracy R McKnight; Kenneth J Smith; Philip W Chu; King S Chiu; Colleen P Cloyd; Susan M Chang; Joanna J Phillips; Mitchel S Berger
Journal:  J Magn Reson Imaging       Date:  2011-04       Impact factor: 4.813

Review 8.  Imaging of central nervous system tumors in children: advances and limitations.

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Journal:  J Child Neurol       Date:  2008-10       Impact factor: 1.987

9.  Multiparametric characterization of grade 2 glioma subtypes using magnetic resonance spectroscopic, perfusion, and diffusion imaging.

Authors:  Wei Bian; Inas S Khayal; Janine M Lupo; Colleen McGue; Scott Vandenberg; Kathleen R Lamborn; Susan M Chang; Soonmee Cha; Sarah J Nelson
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

10.  Pediatric glioblastoma: clinico-radiological profile and factors affecting the outcome.

Authors:  Kuntal Kanti Das; Anant Mehrotra; Anup P Nair; Shaleen Kumar; Arun K Srivastava; Rabi N Sahu; Raj Kumar
Journal:  Childs Nerv Syst       Date:  2012-08-19       Impact factor: 1.475

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