Literature DB >> 18810326

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

Suja Saraswathy1, Forrest W Crawford, Kathleen R Lamborn, Andrea Pirzkall, Susan Chang, Soonmee Cha, Sarah J Nelson.   

Abstract

Purpose Glioblastoma Multiforme (GBM) is the most common and lethal primary brain tumor in adults. The goal of this study was to test the predictive value of MR parameters in relation to the survival of patients with newly diagnosed GBM who were scanned prior to receiving adjuvant radiation and chemotherapy. Methods The study population comprised 68 patients who had surgical resection and were to be treated with fractionated external beam radiation therapy and chemotherapy. Imaging scans included anatomical MRI, diffusion and perfusion weighted imaging and (1)H MRSI. The MR data were acquired 3-5 weeks after surgery and approximately 1 week before treatment with radiation therapy. The diffusion, perfusion and spectroscopic parameter values were quantified and subjected to proportional hazards analysis that was adjusted for age and scanner field strength. Results The patients with larger lesion burden based upon volumes of anatomic lesions, volume of CNI2 (number of voxels within the T2 lesion having choline to NAA index >2), volume of CBV3 (number of pixels within the T2 lesion having relative cerebral blood volume >3), and volume of nADC1.5 (number of pixels within the T2 lesion having normalized apparent diffusion coefficient <1.5) had a higher risk for poor outcome. High intensities of combined measures of lactate and lipid in the T2 and CNI2 regions were also associated with poor survival. Conclusions Our study indicated that several pre-treatment anatomic, physiological and metabolic MR parameters are predictive of survival. This information may be important for stratifying patients to specific treatment protocols and for planning focal therapy.

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Year:  2008        PMID: 18810326      PMCID: PMC3022437          DOI: 10.1007/s11060-008-9685-3

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


  54 in total

1.  Evaluation of four postprocessing methods for determination of cerebral blood volume and mean transit time by dynamic susceptibility contrast imaging.

Authors:  Jussi Perkiö; Hannu J Aronen; Aki Kangasmäki; Yawu Liu; Jari Karonen; Sauli Savolainen; Leif Østergaard
Journal:  Magn Reson Med       Date:  2002-05       Impact factor: 4.668

2.  Histopathological validation of a three-dimensional magnetic resonance spectroscopy index as a predictor of tumor presence.

Authors:  Tracy R McKnight; Mary H von dem Bussche; Daniel B Vigneron; Ying Lu; Mitchel S Berger; Michael W McDermott; William P Dillon; Edward E Graves; Andrea Pirzkall; Sarah J Nelson
Journal:  J Neurosurg       Date:  2002-10       Impact factor: 5.115

3.  Patient age, histologic features, and length of survival in patients with glioblastoma multiforme.

Authors:  P C Burger; S B Green
Journal:  Cancer       Date:  1987-05-01       Impact factor: 6.860

4.  A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival.

Authors:  M Lacroix; D Abi-Said; D R Fourney; Z L Gokaslan; W Shi; F DeMonte; F F Lang; I E McCutcheon; S J Hassenbusch; E Holland; K Hess; C Michael; D Miller; R Sawaya
Journal:  J Neurosurg       Date:  2001-08       Impact factor: 5.115

5.  MR-spectroscopy guided target delineation for high-grade gliomas.

Authors:  A Pirzkall; T R McKnight; E E Graves; M P Carol; P K Sneed; W W Wara; S J Nelson; L J Verhey; D A Larson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2001-07-15       Impact factor: 7.038

6.  Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics.

Authors:  Alexander C Guo; Thomas J Cummings; Rajesh C Dash; James M Provenzale
Journal:  Radiology       Date:  2002-07       Impact factor: 11.105

7.  3D MRSI for resected high-grade gliomas before RT: tumor extent according to metabolic activity in relation to MRI.

Authors:  Andrea Pirzkall; Xiaojuan Li; Joonmi Oh; Susan Chang; Mitchel S Berger; David A Larson; Lynn J Verhey; William P Dillon; Sarah J Nelson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-05-01       Impact factor: 7.038

8.  Identification of MRI and 1H MRSI parameters that may predict survival for patients with malignant gliomas.

Authors:  Xiaojuan Li; Hua Jin; Ying Lu; Joonmi Oh; Susan Chang; Sarah J Nelson
Journal:  NMR Biomed       Date:  2004-02       Impact factor: 4.044

9.  Volume of residual disease as a predictor of outcome in adult patients with recurrent supratentorial glioblastomas multiforme who are undergoing chemotherapy.

Authors:  G Evren Keles; Kathleen R Lamborn; Susan M Chang; Michael D Prados; Mitchel S Berger
Journal:  J Neurosurg       Date:  2004-01       Impact factor: 5.115

10.  Measuring blood volume and vascular transfer constant from dynamic, T(2)*-weighted contrast-enhanced MRI.

Authors:  Glyn Johnson; Stephan G Wetzel; Soonmee Cha; James Babb; Paul S Tofts
Journal:  Magn Reson Med       Date:  2004-05       Impact factor: 4.668

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  72 in total

Review 1.  Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma.

Authors:  Mark S Shiroishi; Jerrold L Boxerman; Whitney B Pope
Journal:  Neuro Oncol       Date:  2015-09-12       Impact factor: 12.300

Review 2.  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

3.  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

4.  Assessment of perfusion MRI-derived parameters in evaluating and predicting response to antiangiogenic therapy in patients with newly diagnosed glioblastoma.

Authors:  Emma Essock-Burns; Janine M Lupo; Soonmee Cha; Mei-Yin Polley; Nicholas A Butowski; Susan M Chang; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2010-10-29       Impact factor: 12.300

5.  Tumor regrowth between surgery and initiation of adjuvant therapy in patients with newly diagnosed glioblastoma.

Authors:  Andrea Pirzkall; Colleen McGue; Suja Saraswathy; Soonmee Cha; Raymond Liu; Scott Vandenberg; Kathleen R Lamborn; Mitchel S Berger; Susan M Chang; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2009-12       Impact factor: 12.300

6.  Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project.

Authors:  K M Schmainda; M A Prah; S D Rand; Y Liu; B Logan; M Muzi; S D Rane; X Da; Y-F Yen; J Kalpathy-Cramer; T L Chenevert; B Hoff; B Ross; Y Cao; M P Aryal; B Erickson; P Korfiatis; T Dondlinger; L Bell; L Hu; P E Kinahan; C C Quarles
Journal:  AJNR Am J Neuroradiol       Date:  2018-05-24       Impact factor: 3.825

7.  A prognostic model based on preoperative MRI predicts overall survival in patients with diffuse gliomas.

Authors:  A Hilario; J M Sepulveda; A Perez-Nuñez; E Salvador; J M Millan; A Hernandez-Lain; V Rodriguez-Gonzalez; A Lagares; A Ramos
Journal:  AJNR Am J Neuroradiol       Date:  2014-01-23       Impact factor: 3.825

8.  Association of dynamic susceptibility contrast enhanced MR Perfusion parameters with prognosis in elderly patients with glioblastomas.

Authors:  Pejman Jabehdar Maralani; Elias R Melhem; Sumei Wang; Edward H Herskovits; Matthew R Voluck; Sang Joon Kim; Kim O Learned; Donald M O'Rourke; Suyash Mohan
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

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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