Literature DB >> 27576874

Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.

Sarah J Nelson1, Achuta K Kadambi2, Ilwoo Park2, Yan Li2, Jason Crane2, Marram Olson2, Annette Molinaro1,3, Ritu Roy2, Nicholas Butowski1,3, Soonmee Cha4,1,3, Susan Chang1.   

Abstract

Background: The heterogeneous biology of glioblastoma (GBM) emphasizes the need for imaging methods to assess tumor burden and assist in evaluating individual patients. The purpose of this study was to investigate early changes in metrics from 3D 1H magnetic resonance spectroscopic imaging (MRSI) data, compare them with anatomic lesion volumes, and determine whether they were associated with survival for patients with newly diagnosed GBM receiving a multimodality treatment regimen.
Methods: Serial MRI and MRSI scans provided estimates of anatomic lesion volumes and levels of choline, creatine, N-acetylaspartate, lactate, and lipid. The association of metrics derived from these data with survival was assessed using Cox proportional hazards models with adjustments for age, Karnofsky performance score, and extent of resection. Temporal changes in parameters were evaluated using a Wilcoxon signed rank test.
Results: Anatomic lesion volumes at the post-radiotherapy (RT) scan, metabolic lesion volume at mid-RT and post-RT scans, as well as metrics describing levels of choline, lactate, and lipid were associated with overall survival. There was a significant reduction in the enhancing lesion volume, increase in T2 lesion volume from mid-RT to post-RT, and decrease in parameters describing metabolite levels during these early time points.
Conclusion: The MRSI data provided metrics that described the effects of treatment on the metabolic lesion burden and were associated with overall survival. This suggests that adding these parameters to standard assessments of changes in anatomic lesion volumes could contribute to making early decisions about the efficacy of such combination therapies.
© The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Entities:  

Keywords:  1H MR spectroscopic imaging; metabolic parameters; newly diagnosed GBM; predicting outcome; survival; treatment

Mesh:

Substances:

Year:  2017        PMID: 27576874      PMCID: PMC5464305          DOI: 10.1093/neuonc/now159

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


  32 in total

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2.  Patterns of recurrence analysis in newly diagnosed glioblastoma multiforme after three-dimensional conformal radiation therapy with respect to pre-radiation therapy magnetic resonance spectroscopic findings.

Authors:  Ilwoo Park; Gregory Tamai; Michael C Lee; Cynthia F Chuang; Susan M Chang; Mitchel S Berger; Sarah J Nelson; Andrea Pirzkall
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Authors:  Ilwoo Park; Albert P Chen; Matthew L Zierhut; Esin Ozturk-Isik; Daniel B Vigneron; Sarah J Nelson
Journal:  Ann Biomed Eng       Date:  2010-07-23       Impact factor: 3.934

5.  Serial analysis of imaging parameters in patients with newly diagnosed glioblastoma multiforme.

Authors:  Yan Li; Janine M Lupo; Mei-Yin Polley; Jason C Crane; Wei Bian; Soonmee Cha; Susan Chang; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2011-02-04       Impact factor: 12.300

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Authors:  S J Nelson; D B Vigneron; W P Dillon
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7.  Antiangiogenic effects of a protein kinase Cbeta-selective small molecule.

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

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Journal:  ACS Chem Neurosci       Date:  2017-10-16       Impact factor: 4.418

2.  Lesion segmentation for MR spectroscopic imaging using the convolution difference method.

Authors:  Andrew A Maudsley
Journal:  Magn Reson Med       Date:  2018-10-10       Impact factor: 4.668

3.  Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas.

Authors:  Julia Cluceru; Sarah J Nelson; Qiuting Wen; Joanna J Phillips; Anny Shai; Annette M Molinaro; Paula Alcaide-Leon; Marram P Olson; Devika Nair; Marisa LaFontaine; Pranathi Chunduru; Javier E Villanueva-Meyer; Soonmee Cha; Susan M Chang; Mitchel S Berger; Janine M Lupo
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4.  Early changes in glioblastoma metabolism measured by MR spectroscopic imaging during combination of anti-angiogenic cediranib and chemoradiation therapy are associated with survival.

Authors:  Ovidiu C Andronesi; Morteza Esmaeili; Ronald J H Borra; Kyrre Emblem; Elizabeth R Gerstner; Marco C Pinho; Scott R Plotkin; Andrew S Chi; April F Eichler; Jorg Dietrich; S Percy Ivy; Patrick Y Wen; Dan G Duda; Rakesh Jain; Bruce R Rosen; Gregory A Sorensen; Tracy T Batchelor
Journal:  NPJ Precis Oncol       Date:  2017-06-12

5.  Unraveling response to temozolomide in preclinical GL261 glioblastoma with MRI/MRSI using radiomics and signal source extraction.

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Authors:  Yong Cui; Wei Zeng; Haihui Jiang; Xiaohui Ren; Song Lin; Yanzhu Fan; Yapeng Liu; Jizong Zhao
Journal:  Front Neurol       Date:  2020-12-04       Impact factor: 4.003

7.  Magnetic resonance spectroscopy for the study of cns malignancies.

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Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2020-12-02       Impact factor: 9.795

8.  Hyperpolarized 13 C MRI data acquisition and analysis in prostate and brain at University of California, San Francisco.

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Journal:  NMR Biomed       Date:  2020-03-19       Impact factor: 4.044

9.  Advanced magnetic resonance spectroscopic neuroimaging: Experts' consensus recommendations.

Authors:  Andrew A Maudsley; Ovidiu C Andronesi; Peter B Barker; Alberto Bizzi; Wolfgang Bogner; Anke Henning; Sarah J Nelson; Stefan Posse; Dikoma C Shungu; Brian J Soher
Journal:  NMR Biomed       Date:  2020-04-29       Impact factor: 4.044

Review 10.  Molecular and Cellular Complexity of Glioma. Focus on Tumour Microenvironment and the Use of Molecular and Imaging Biomarkers to Overcome Treatment Resistance.

Authors:  Silvia Valtorta; Daniela Salvatore; Paolo Rainone; Sara Belloli; Gloria Bertoli; Rosa Maria Moresco
Journal:  Int J Mol Sci       Date:  2020-08-06       Impact factor: 5.923

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