Literature DB >> 20647244

Ex vivo MR spectroscopic measure differentiates tumor from treatment effects in GBM.

Radhika Srinivasan1, Joanna J Phillips, Scott R Vandenberg, Mei-Yin C Polley, Gabriela Bourne, Alvin Au, Andrea Pirzkall, Soonmee Cha, Susan M Chang, Sarah J Nelson.   

Abstract

The motivation of this study was to address the urgent clinical problem related to the inability of magnetic resonance (MR) imaging measures to differentiate tumor progression from treatment effects in patients with glioblastoma multiforme (GBM). While contrast enhancement on MR imaging (MRI) is routinely used for assessment of tumor burden, therapy response, and progression-free survival in GBM, it is well known that changes in enhancement following treatment are nonspecific to tumor. To address this issue, the objective of this study was to investigate whether MR spectroscopy can provide improved biomarker surrogates for tumor following treatment. High-resolution metabolic profiles of tissue samples obtained from patients with GBM were directly correlated with their pathological assessment to determine metabolic markers that correspond to pathological indications of tumor or treatment effects. Acquisition of tissue samples with image guidance enabled the association of ex vivo biochemical and pathological properties of the tissue samples with in vivo MR anatomical and structural properties derived from presurgical MR images. Using this approach, we found that metabolic concentration levels of [Myo-inositol/total choline (MCI)] in tissue samples are able to differentiate tumor from nontumor and treatment-induced reactive astrocytosis with high significance (P < .001) in newly diagnosed and recurrent GBM. The MCI index has a sensitivity of 93% to tumor in recurrent GBM and delineates the contribution of cellularity that originates from tumor and astrocytic proliferation following treatment. Low levels of MCI for tumor were associated with a reduced apparent diffusion coefficient and elevated choline-N-acetyl-aspartate index derived from in vivo MR images.

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Year:  2010        PMID: 20647244      PMCID: PMC3098023          DOI: 10.1093/neuonc/noq075

Source DB:  PubMed          Journal:  Neuro Oncol        ISSN: 1522-8517            Impact factor:   12.300


  36 in total

1.  Absolute concentrations of metabolites in human brain tumors using in vitro proton magnetic resonance spectroscopy.

Authors:  Y Kinoshita; A Yokota
Journal:  NMR Biomed       Date:  1997-01       Impact factor: 4.044

2.  Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment.

Authors:  Whitney B Pope; Hyun J Kim; Jing Huo; Jeffry Alger; Matthew S Brown; David Gjertson; Victor Sai; Jonathan R Young; Leena Tekchandani; Timothy Cloughesy; Paul S Mischel; Albert Lai; Phioanh Nghiemphu; Syed Rahmanuddin; Jonathan Goldin
Journal:  Radiology       Date:  2009-07       Impact factor: 11.105

3.  Quantitative neuropathology by high resolution magic angle spinning proton magnetic resonance spectroscopy.

Authors:  L L Cheng; M J Ma; L Becerra; T Ptak; I Tracey; A Lackner; R G González
Journal:  Proc Natl Acad Sci U S A       Date:  1997-06-10       Impact factor: 11.205

4.  Prognostic value of detecting recurrent glioblastoma multiforme in surgical specimens from patients after radiotherapy: should pathology evaluation alter treatment decisions?

Authors:  Tarik Tihan; Justine Barletta; Ian Parney; Kathleen Lamborn; Penny K Sneed; Susan Chang
Journal:  Hum Pathol       Date:  2006-03       Impact factor: 3.466

5.  Alzheimer disease: postmortem neuropathologic correlates of antemortem 1H MR spectroscopy metabolite measurements.

Authors:  Kejal Kantarci; David S Knopman; Dennis W Dickson; Joseph E Parisi; Jennifer L Whitwell; Stephen D Weigand; Keith A Josephs; Bradley F Boeve; Ronald C Petersen; Clifford R Jack
Journal:  Radiology       Date:  2008-07       Impact factor: 11.105

6.  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

7.  End point assessment in gliomas: novel treatments limit usefulness of classical Macdonald's Criteria.

Authors:  Martin J van den Bent; Michael A Vogelbaum; Patrick Y Wen; David R Macdonald; Susan M Chang
Journal:  J Clin Oncol       Date:  2009-05-18       Impact factor: 44.544

8.  Myo-inositol: a marker of reactive astrogliosis in glial tumors?

Authors:  Elke Hattingen; Peter Raab; Kea Franz; Friedhelm E Zanella; Heinrich Lanfermann; Ulrich Pilatus
Journal:  NMR Biomed       Date:  2008-03       Impact factor: 4.044

9.  A comparative study of myo-inositol quantification using LCmodel at 1.5 T and 3.0 T with 3 D 1H proton spectroscopic imaging of the human brain.

Authors:  Radhika Srinivasan; Daniel Vigneron; Napapon Sailasuta; Ralph Hurd; Sarah Nelson
Journal:  Magn Reson Imaging       Date:  2004-05       Impact factor: 2.546

10.  Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM.

Authors:  Forrest W Crawford; Inas S Khayal; Colleen McGue; Suja Saraswathy; Andrea Pirzkall; Soonmee Cha; Kathleen R Lamborn; Susan M Chang; Mitchel S Berger; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-11-15       Impact factor: 4.130

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  22 in total

1.  Re-defining response and treatment effects for neuro-oncology immunotherapy clinical trials.

Authors:  David A Reardon; Hideho Okada
Journal:  J Neurooncol       Date:  2015-02-24       Impact factor: 4.130

Review 2.  Imaging tumor metabolism using in vivo magnetic resonance spectroscopy.

Authors:  Yan Li; Ilwoo Park; Sarah J Nelson
Journal:  Cancer J       Date:  2015 Mar-Apr       Impact factor: 3.360

3.  [Application of ultrahigh-field MRI in neuro-oncology].

Authors:  A Radbruch; H-P Schlemmer
Journal:  Radiologe       Date:  2013-05       Impact factor: 0.635

4.  Apparent diffusion coefficient changes predict survival after intra-arterial bevacizumab treatment in recurrent glioblastoma.

Authors:  Naveen Galla; Gloria Chiang; Shamik Chakraborty; Ranjodh Singh; A John Tsiouris; John Boockvar; Ilhami Kovanlikaya
Journal:  Neuroradiology       Date:  2017-03-25       Impact factor: 2.804

Review 5.  Neuroimaging of Peptide-based Vaccine Therapy in Pediatric Brain Tumors: Initial Experience.

Authors:  Andre D Furtado; Rafael Ceschin; Stefan Blüml; Gary Mason; Regina I Jakacki; Hideho Okada; Ian F Pollack; Ashok Panigrahy
Journal:  Neuroimaging Clin N Am       Date:  2017-02       Impact factor: 2.264

6.  Comparison between Short and Long Echo Time Magnetic Resonance Spectroscopic Imaging at 3T and 7T for Evaluating Brain Metabolites in Patients with Glioma.

Authors:  Yan Li; Marisa Lafontaine; Susan Chang; Sarah J Nelson
Journal:  ACS Chem Neurosci       Date:  2017-10-16       Impact factor: 4.418

Review 7.  Choline metabolism in malignant transformation.

Authors:  Kristine Glunde; Zaver M Bhujwalla; Sabrina M Ronen
Journal:  Nat Rev Cancer       Date:  2011-11-17       Impact factor: 60.716

Review 8.  Assessment of therapeutic response and treatment planning for brain tumors using metabolic and physiological MRI.

Authors:  Sarah J Nelson
Journal:  NMR Biomed       Date:  2011-04-27       Impact factor: 4.044

9.  Magnetic resonance of 2-hydroxyglutarate in IDH1-mutated low-grade gliomas.

Authors:  Adam Elkhaled; Llewellyn E Jalbert; Joanna J Phillips; Hikari A I Yoshihara; Rupa Parvataneni; Radhika Srinivasan; Gabriela Bourne; Mitchel S Berger; Susan M Chang; Soonmee Cha; Sarah J Nelson
Journal:  Sci Transl Med       Date:  2012-01-11       Impact factor: 17.956

10.  Short-echo three-dimensional H-1 MR spectroscopic imaging of patients with glioma at 7 Tesla for characterization of differences in metabolite levels.

Authors:  Yan Li; Peder Larson; Albert P Chen; Janine M Lupo; Eugene Ozhinsky; Douglas Kelley; Susan M Chang; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2014-06-17       Impact factor: 4.813

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