Literature DB >> 12066902

Biochemical characterization of pediatric brain tumors by using in vivo and ex vivo magnetic resonance spectroscopy.

A Aria Tzika1, Leo Ling Cheng, Liliana Goumnerova, Joseph R Madsen, David Zurakowski, Loukas G Astrakas, Maria K Zarifi, R Michael Scott, Douglas C Anthony, R Gilberto Gonzalez, Peter McL Black.   

Abstract

OBJECT: Magnetic resonance (MR) spectroscopy provides biochemical information about tumors. The authors sought to determine the relationship between in vivo and ex vivo biochemical characterization of pediatric brain tumors by using MR spectroscopy. Their hypothesis was that ex vivo MR spectroscopy provides a link between in vivo MR spectroscopy and neuropathological analysis.
METHODS: In vivo proton MR spectroscopy was performed before surgery in 11 patients with neuroepithelial tumors. During resection, a total of 40 tumor biopsy samples were obtained from within the volume of interest identified on in vivo MR spectroscopy and were frozen immediately in liquid nitrogen. High-Resolution Magic Angle Spinning (HRMAS) was used to perform ex vivo MR spectroscopy in these 40 tumor biopsy samples. Neuropathological analysis was performed using the same biopsy samples, and the tumors were classified as ependymoma, choroid plexus carcinoma, pineoblastoma (one each), and pilocytic astrocytoma, medullobastoma, low-grade glioma, and glioblastoma multiforme (two each). Ex vivo HRMAS MR spectroscopy improved line widths and line shapes in the spectra, compared with in vivo MR spectroscopy. Choline (Cho) detected in vivo corresponded to three different peaks ex vivo (glycerophosphocholine, phosphocholine [PCho], and Cho). Metabolite ratios from in vivo spectra correlated with ratios from ex vivo spectra (Pearson correlation coefficient range r = 0.72-0.91; p < or = 0.01). Metabolite ratios from ex vivo spectra, such as PCho/ total creatine (tCr) and lipid/tCr, correlated with the percentage of cancerous tissue and percentage of tumor necrosis, respectively (r = 0.84; p < 0.001).
CONCLUSIONS: Agreement between in vivo and ex vivo MR spectroscopy indicates that ex vivo HRMAS MR spectroscopy can improve resolution of this modality and provide a link between in vivo MR spectroscopy and neuropathological analysis.

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Year:  2002        PMID: 12066902     DOI: 10.3171/jns.2002.96.6.1023

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


  20 in total

1.  Molecular classification of brain tumor biopsies using solid-state magic angle spinning proton magnetic resonance spectroscopy and robust classifiers.

Authors:  Ovidiu C Andronesi; Konstantinos D Blekas; Dionyssios Mintzopoulos; Loukas Astrakas; Peter M Black; A Aria Tzika
Journal:  Int J Oncol       Date:  2008-11       Impact factor: 5.650

Review 2.  Applications of metabolomics to study cancer metabolism.

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Journal:  Biochim Biophys Acta Rev Cancer       Date:  2018-04-25       Impact factor: 10.680

Review 3.  Magnetic resonance spectroscopy in metabolic and molecular imaging and diagnosis of cancer.

Authors:  Kristine Glunde; Dmitri Artemov; Marie-France Penet; Michael A Jacobs; Zaver M Bhujwalla
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Review 4.  Applications of high-resolution magic angle spinning MRS in biomedical studies II-Human diseases.

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Journal:  NMR Biomed       Date:  2017-09-15       Impact factor: 4.044

5.  Detection and differentiation of lactate and lipids by single-voxel proton MR spectroscopy.

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Journal:  Neurosurg Rev       Date:  2005-08-18       Impact factor: 3.042

6.  Proton MRS imaging in pediatric brain tumors.

Authors:  Maria Zarifi; A Aria Tzika
Journal:  Pediatr Radiol       Date:  2016-05-27

7.  Development of stereotactic mass spectrometry for brain tumor surgery.

Authors:  Nathalie Y R Agar; Alexandra J Golby; Keith L Ligon; Isaiah Norton; Vandana Mohan; Justin M Wiseman; Allen Tannenbaum; Ferenc A Jolesz
Journal:  Neurosurgery       Date:  2011-02       Impact factor: 4.654

8.  Ex-vivo HRMAS of adult brain tumours: metabolite quantification and assignment of tumour biomarkers.

Authors:  Alan J Wright; Greg A Fellows; John R Griffiths; M Wilson; B Anthony Bell; Franklyn A Howe
Journal:  Mol Cancer       Date:  2010-03-23       Impact factor: 27.401

Review 9.  Metabolomics-based methods for early disease diagnostics.

Authors:  G A Nagana Gowda; Shucha Zhang; Haiwei Gu; Vincent Asiago; Narasimhamurthy Shanaiah; Daniel Raftery
Journal:  Expert Rev Mol Diagn       Date:  2008-09       Impact factor: 5.225

10.  ¹H nuclear magnetic resonance spectroscopy characterisation of metabolic phenotypes in the medulloblastoma of the SMO transgenic mice.

Authors:  S K Hekmatyar; M Wilson; N Jerome; R M Salek; J L Griffin; A Peet; R A Kauppinen
Journal:  Br J Cancer       Date:  2010-09-14       Impact factor: 7.640

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