Literature DB >> 19009235

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

Forrest W Crawford1, Inas S Khayal, Colleen McGue, Suja Saraswathy, Andrea Pirzkall, Soonmee Cha, Kathleen R Lamborn, Susan M Chang, Mitchel S Berger, Sarah J Nelson.   

Abstract

Glioblastoma Multiforme (GBM) are heterogeneous lesions, both in terms of their appearance on anatomic images and their response to therapy. The goal of this study was to evaluate the prognostic value of parameters derived from physiological and metabolic images of these lesions. Fifty-six patients with GBM were scanned immediately before surgical resection using conventional anatomical MR imaging and, where possible, perfusion-weighted imaging, diffusion-weighted imaging, and proton MR spectroscopic imaging. The median survival time was 517 days, with 15 patients censored. Absolute anatomic lesion volumes were not associated with survival but patients for whom the combined volume of contrast enhancement and necrosis was a large percentage of the T2 hyperintense lesion had relatively poor survival. Other volumetric parameters linked with less favorable survival were the volume of the region with elevated choline to N-acetylaspartate index (CNI) and the volume within the T2 lesion that had apparent diffusion coefficient (ADC) less than 1.5 times that in white matter. Intensity parameters associated with survival were the maximum and the sum of levels of lactate and of lipid within the CNI lesion, as well as the magnitude of the 10th percentile of the normalized ADC within the contrast-enhancing lesion. Patients whose imaging parameters indicating that lesions with a relatively large percentage with breakdown of the blood brain barrier or necrosis, large regions with abnormal metabolism or areas with restricted diffusion have relatively poor survival. These parameters may provide useful information for predicting outcome and for the stratification of patients into high or low risk groups for clinical trials.

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Year:  2008        PMID: 19009235      PMCID: PMC3022444          DOI: 10.1007/s11060-008-9719-x

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  49 in total

1.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

2.  Dynamic susceptibility contrast perfusion imaging of radiation effects in normal-appearing brain tissue: changes in the first-pass and recirculation phases.

Authors:  Michael C Lee; Soonmee Cha; Susan M Chang; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2005-06       Impact factor: 4.813

3.  Feasibility of dynamic susceptibility contrast perfusion MR imaging at 3T using a standard quadrature head coil and eight-channel phased-array coil with and without SENSE reconstruction.

Authors:  Janine M Lupo; Michael C Lee; Eric T Han; Soonmee Cha; Susan M Chang; Mitchel S Berger; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2006-09       Impact factor: 4.813

4.  Considerations in applying 3D PRESS H-1 brain MRSI with an eight-channel phased-array coil at 3 T.

Authors:  Yan Li; Joseph A Osorio; Esin Ozturk-Isik; Albert P Chen; Duan Xu; Jason C Crane; Soonmee Cha; Susan Chang; Mitchel S Berger; Daniel B Vigneron; Sarah J Nelson
Journal:  Magn Reson Imaging       Date:  2006-10-18       Impact factor: 2.546

5.  [Correlation between magnetic resonance diffusion weighted imaging and cell density in astrocytoma].

Authors:  Jun Chen; Jun Xia; Yi-cheng Zhou; Li-ming Xia; Wen-zhen Zhu; Ming-li Zou; Ding-yi Feng; Cheng-yuan Wang
Journal:  Zhonghua Zhong Liu Za Zhi       Date:  2005-05

6.  Dynamic susceptibility-weighted perfusion imaging of high-grade gliomas: characterization of spatial heterogeneity.

Authors:  Janine M Lupo; Soonmee Cha; Susan M Chang; Sarah J Nelson
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

7.  Perfusion, diffusion and spectroscopy values in newly diagnosed cerebral gliomas.

Authors:  Isabelle Catalaa; Roland Henry; William P Dillon; Edward E Graves; Tracy R McKnight; Ying Lu; Daniel B Vigneron; Sarah J Nelson
Journal:  NMR Biomed       Date:  2006-06       Impact factor: 4.044

Review 8.  Long-term survival in patients with supratentorial glioblastoma.

Authors:  M Salvati; L Cervoni; M Artico; R Caruso; F M Gagliardi
Journal:  J Neurooncol       Date:  1998-01       Impact factor: 4.130

9.  Quantitative imaging study of extent of surgical resection and prognosis of malignant astrocytomas.

Authors:  A Kowalczuk; R L Macdonald; C Amidei; G Dohrmann; R K Erickson; J Hekmatpanah; S Krauss; S Krishnasamy; G Masters; S F Mullan; A J Mundt; P Sweeney; E E Vokes; B K Weir; R L Wollman
Journal:  Neurosurgery       Date:  1997-11       Impact factor: 4.654

10.  Differentiation of glioblastoma multiforme and single brain metastasis by peak height and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  S Cha; J M Lupo; M-H Chen; K R Lamborn; M W McDermott; M S Berger; S J Nelson; W P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2007 Jun-Jul       Impact factor: 3.825

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  52 in total

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

Authors:  Radhika Srinivasan; Joanna J Phillips; Scott R Vandenberg; Mei-Yin C Polley; Gabriela Bourne; Alvin Au; Andrea Pirzkall; Soonmee Cha; Susan M Chang; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2010-07-20       Impact factor: 12.300

2.  Effect of 10 different polymorphisms on preoperative volumetric characteristics of glioblastoma multiforme.

Authors:  Christian Henker; Thomas Kriesen; Katharina Fürst; Deborah Goody; Änne Glass; Brigitte M Pützer; Jürgen Piek
Journal:  J Neurooncol       Date:  2015-11-25       Impact factor: 4.130

Review 3.  Non-invasive metabolic imaging of brain tumours in the era of precision medicine.

Authors:  Michelle M Kim; Abhijit Parolia; Mark P Dunphy; Sriram Venneti
Journal:  Nat Rev Clin Oncol       Date:  2016-07-19       Impact factor: 66.675

4.  Integrative analysis of diffusion-weighted MRI and genomic data to inform treatment of glioblastoma.

Authors:  Guido H Jajamovich; Chandni R Valiathan; Razvan Cristescu; Sangeetha Somayajula
Journal:  J Neurooncol       Date:  2016-07-08       Impact factor: 4.130

5.  Voxel-based evidence of perfusion normalization in glioblastoma patients included in a phase I-II trial of radiotherapy/tipifarnib combination.

Authors:  Soléakhéna Ken; Alexandra Deviers; Thomas Filleron; Isabelle Catalaa; Jean-Albert Lotterie; Jonathan Khalifa; Vincent Lubrano; Isabelle Berry; Patrice Péran; Pierre Celsis; Elizabeth Cohen-Jonathan Moyal; Anne Laprie
Journal:  J Neurooncol       Date:  2015-07-19       Impact factor: 4.130

6.  Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques.

Authors:  Luke Macyszyn; Hamed Akbari; Jared M Pisapia; Xiao Da; Mark Attiah; Vadim Pigrish; Yingtao Bi; Sharmistha Pal; Ramana V Davuluri; Laura Roccograndi; Nadia Dahmane; Maria Martinez-Lage; George Biros; Ronald L Wolf; Michel Bilello; Donald M O'Rourke; Christos Davatzikos
Journal:  Neuro Oncol       Date:  2015-07-16       Impact factor: 12.300

7.  Identifying Voxels at Risk for Progression in Glioblastoma Based on Dosimetry, Physiologic and Metabolic MRI.

Authors:  Mekhail Anwar; Annette M Molinaro; Olivier Morin; Susan M Chang; Daphne A Haas-Kogan; Sarah J Nelson; Janine M Lupo
Journal:  Radiat Res       Date:  2017-07-19       Impact factor: 2.841

8.  Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.

Authors:  Suja Saraswathy; Forrest W Crawford; Kathleen R Lamborn; Andrea Pirzkall; Susan Chang; Soonmee Cha; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-09-23       Impact factor: 4.130

9.  Histogram analysis of apparent diffusion coefficient within enhancing and nonenhancing tumor volumes in recurrent glioblastoma patients treated with bevacizumab.

Authors:  Rifaquat Rahman; Alhafidz Hamdan; Rebecca Zweifler; Han Jiang; Andrew D Norden; David A Reardon; Srinivasan Mukundan; Patrick Y Wen; Raymond Y Huang
Journal:  J Neurooncol       Date:  2014-05-08       Impact factor: 4.130

10.  Dynamic susceptibility contrast MRI measures of relative cerebral blood volume as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 multicenter trial.

Authors:  Kathleen M Schmainda; Zheng Zhang; Melissa Prah; Bradley S Snyder; Mark R Gilbert; A Gregory Sorensen; Daniel P Barboriak; Jerrold L Boxerman
Journal:  Neuro Oncol       Date:  2015-02-02       Impact factor: 12.300

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