Literature DB >> 26338913

T1-Weighted Dynamic Contrast-Enhanced MRI as a Noninvasive Biomarker of Epidermal Growth Factor Receptor vIII Status.

J Arevalo-Perez1, A A Thomas2, T Kaley3, J Lyo4, K K Peck5, A I Holodny4, I K Mellinghoff2, W Shi6, Z Zhang6, R J Young7.   

Abstract

BACKGROUND AND
PURPOSE: Epidermal growth factor receptor variant III is a common mutation in glioblastoma, found in approximately 25% of tumors. Epidermal growth factor receptor variant III may accelerate angiogenesis in malignant gliomas. We correlated T1-weighted dynamic contrast-enhanced MR imaging perfusion parameters with epidermal growth factor receptor variant III status.
MATERIALS AND METHODS: Eighty-two consecutive patients with glioblastoma and known epidermal growth factor receptor variant III status who had dynamic contrast-enhanced MR imaging before surgery were evaluated. Volumes of interest were drawn around the entire enhancing tumor on contrast T1-weighted images and then were transferred onto coregistered dynamic contrast-enhanced MR imaging perfusion maps. Histogram analysis with normalization was performed to determine the relative mean, 75th percentile, and 90th percentile values for plasma volume and contrast transfer coefficient. A Wilcoxon rank sum test was applied to assess the relationship between baseline perfusion parameters and positive epidermal growth factor receptor variant III status. The receiver operating characteristic method was used to select the cutoffs of the dynamic contrast-enhanced MR imaging perfusion parameters.
RESULTS: Increased relative plasma volume and increased relative contrast transfer coefficient parameters were both significantly associated with positive epidermal growth factor receptor variant III status. For epidermal growth factor receptor variant III-positive tumors, relative plasma volume mean was 9.3 and relative contrast transfer coefficient mean was 6.5; for epidermal growth factor receptor variant III-negative tumors, relative plasma volume mean was 3.6 and relative contrast transfer coefficient mean was 3.7 (relative plasma volume mean, P < .001, and relative contrast transfer coefficient mean, P = .008). The predictive powers of relative plasma volume histogram metrics outperformed those of the relative contrast transfer coefficient histogram metrics (P < = .004).
CONCLUSIONS: Dynamic contrast-enhanced MR imaging shows greater perfusion and leakiness in epidermal growth factor receptor variant III-positive glioblastomas than in epidermal growth factor receptor variant III-negative glioblastomas, consistent with the known effect of epidermal growth factor receptor variant III on angiogenesis. Quantitative evaluation of dynamic contrast-enhanced MR imaging may be useful as a noninvasive tool for correlating epidermal growth factor receptor variant III expression and related tumor neoangiogenesis. This potential may have implications for monitoring response to epidermal growth factor receptor variant III-targeted therapies.
© 2015 by American Journal of Neuroradiology.

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Year:  2015        PMID: 26338913      PMCID: PMC4724408          DOI: 10.3174/ajnr.A4484

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  31 in total

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Authors:  Meng Law; Sarah Oh; James S Babb; Edwin Wang; Matilde Inglese; David Zagzag; Edmond A Knopp; Glyn Johnson
Journal:  Radiology       Date:  2006-01-05       Impact factor: 11.105

2.  Molecular determinants of the response of glioblastomas to EGFR kinase inhibitors.

Authors:  Ingo K Mellinghoff; Maria Y Wang; Igor Vivanco; Daphne A Haas-Kogan; Shaojun Zhu; Ederlyn Q Dia; Kan V Lu; Koji Yoshimoto; Julie H Y Huang; Dennis J Chute; Bridget L Riggs; Steve Horvath; Linda M Liau; Webster K Cavenee; P Nagesh Rao; Rameen Beroukhim; Timothy C Peck; Jeffrey C Lee; William R Sellers; David Stokoe; Michael Prados; Timothy F Cloughesy; Charles L Sawyers; Paul S Mischel
Journal:  N Engl J Med       Date:  2005-11-10       Impact factor: 91.245

3.  Do cerebral blood volume and contrast transfer coefficient predict prognosis in human glioma?

Authors:  S J Mills; T A Patankar; H A Haroon; D Balériaux; R Swindell; A Jackson
Journal:  AJNR Am J Neuroradiol       Date:  2006-04       Impact factor: 3.825

4.  Comparison of region-of-interest analysis with three different histogram analysis methods in the determination of perfusion metrics in patients with brain gliomas.

Authors:  Robert Young; James Babb; Meng Law; Erica Pollack; Glyn Johnson
Journal:  J Magn Reson Imaging       Date:  2007-10       Impact factor: 4.813

5.  Role of perfusion CT in glioma grading and comparison with conventional MR imaging features.

Authors:  S K Ellika; R Jain; S C Patel; L Scarpace; L R Schultz; J P Rock; T Mikkelsen
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Review 6.  Oncogenic EGFR signaling networks in glioma.

Authors:  Paul H Huang; Alexander M Xu; Forest M White
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7.  Pretreatment Dynamic Susceptibility Contrast MRI Perfusion in Glioblastoma: Prediction of EGFR Gene Amplification.

Authors:  A Gupta; R J Young; A D Shah; A D Schweitzer; J J Graber; W Shi; Z Zhang; J Huse; A M P Omuro
Journal:  Clin Neuroradiol       Date:  2014-01-29       Impact factor: 3.649

Review 8.  Physiologic and metabolic magnetic resonance imaging in gliomas.

Authors:  Yue Cao; Pia C Sundgren; Christina I Tsien; Thomas T Chenevert; Larry Junck
Journal:  J Clin Oncol       Date:  2006-03-10       Impact factor: 44.544

9.  Comprehensive genomic characterization defines human glioblastoma genes and core pathways.

Authors: 
Journal:  Nature       Date:  2008-09-04       Impact factor: 49.962

10.  Changes in vascular permeability and expression of different angiogenic factors following anti-angiogenic treatment in rat glioma.

Authors:  Meser M Ali; Branislava Janic; Abbas Babajani-Feremi; Nadimpalli R S Varma; A S M Iskander; John Anagli; Ali S Arbab
Journal:  PLoS One       Date:  2010-01-15       Impact factor: 3.240

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  22 in total

1.  DCE-MRI perfusion predicts pseudoprogression in metastatic melanoma treated with immunotherapy.

Authors:  Yoshie Umemura; Diane Wang; Kyung K Peck; Jessica Flynn; Zhigang Zhang; Robin Fatovic; Erik S Anderson; Kathryn Beal; Alexander N Shoushtari; Thomas Kaley; Robert J Young
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2.  In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The φ-Index.

Authors:  Spyridon Bakas; Hamed Akbari; Jared Pisapia; Maria Martinez-Lage; Martin Rozycki; Saima Rathore; Nadia Dahmane; Donald M O'Rourke; Christos Davatzikos
Journal:  Clin Cancer Res       Date:  2017-04-20       Impact factor: 12.531

3.  T1-Weighted Dynamic Contrast-Enhanced MRI Is a Noninvasive Marker of Epidermal Growth Factor Receptor vIII Status in Cancer Stem Cell-Derived Experimental Glioblastomas.

Authors:  L S Politi; G Brugnara; A Castellano; M Cadioli; L Altabella; M Peviani; S Mazzoleni; A Falini; R Galli
Journal:  AJNR Am J Neuroradiol       Date:  2016-03-17       Impact factor: 3.825

4.  Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities.

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5.  Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features.

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Review 7.  Precision diagnostics based on machine learning-derived imaging signatures.

Authors:  Christos Davatzikos; Aristeidis Sotiras; Yong Fan; Mohamad Habes; Guray Erus; Saima Rathore; Spyridon Bakas; Rhea Chitalia; Aimilia Gastounioti; Despina Kontos
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Review 8.  An Update on the Approach to the Imaging of Brain Tumors.

Authors:  Katherine M Mullen; Raymond Y Huang
Journal:  Curr Neurol Neurosci Rep       Date:  2017-07       Impact factor: 5.081

9.  Diagnostic Accuracy of T1-Weighted Dynamic Contrast-Enhanced-MRI and DWI-ADC for Differentiation of Glioblastoma and Primary CNS Lymphoma.

Authors:  X Lin; M Lee; O Buck; K M Woo; Z Zhang; V Hatzoglou; A Omuro; J Arevalo-Perez; A A Thomas; J Huse; K Peck; A I Holodny; R J Young
Journal:  AJNR Am J Neuroradiol       Date:  2016-12-08       Impact factor: 3.825

10.  In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature.

Authors:  Hamed Akbari; Spyridon Bakas; Jared M Pisapia; MacLean P Nasrallah; Martin Rozycki; Maria Martinez-Lage; Jennifer J D Morrissette; Nadia Dahmane; Donald M O'Rourke; Christos Davatzikos
Journal:  Neuro Oncol       Date:  2018-07-05       Impact factor: 12.300

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