Literature DB >> 20798977

Volumetric analysis of functional diffusion maps is a predictive imaging biomarker for cytotoxic and anti-angiogenic treatments in malignant gliomas.

Benjamin M Ellingson1, Mark G Malkin, Scott D Rand, Pete S LaViolette, Jennifer M Connelly, Wade M Mueller, Kathleen M Schmainda.   

Abstract

Anti-angiogenic agents targeting brain tumor neovasculature may increase progression-free survival in patients with recurrent malignant gliomas. However, when these patients do recur it is not always apparent as an increase in enhancing tumor volume on MRI, which has been the standard of practice for following patients with brain tumors. Therefore alternative methods are needed to evaluate patients treated with these novel therapies. Furthermore, a method that can also provide useful information for the evaluation of conventional therapies would provide an important advantage for general applicability. Diffusion-weighted magnetic resonance imaging (DWI) has the potential to serve as a valuable biomarker for these purposes. In the current study, we explore the prognostic ability of functional diffusion maps (fDMs), which examine voxel-wise changes in the apparent diffusion coefficient (ADC) over time, applied to regions of fluid-attenuated inversion recovery (FLAIR) abnormalities in patients with malignant glioma, treated with either anti-angiogenic or cytotoxic therapies. Results indicate that the rate of change in fDMs is an early predictor of tumor progression, time to progression and overall survival for both treatments, suggesting the application of fDMs in FLAIR abnormal regions may be a significant advance in brain tumor biomarker technology.

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Year:  2010        PMID: 20798977      PMCID: PMC3033973          DOI: 10.1007/s11060-010-0293-7

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


  37 in total

1.  Real-time 3D image registration for functional MRI.

Authors:  R W Cox; A Jesmanowicz
Journal:  Magn Reson Med       Date:  1999-12       Impact factor: 4.668

2.  The role of diffusion-weighted imaging in patients with brain tumors.

Authors:  K Kono; Y Inoue; K Nakayama; M Shakudo; M Morino; K Ohata; K Wakasa; R Yamada
Journal:  AJNR Am J Neuroradiol       Date:  2001 Jun-Jul       Impact factor: 3.825

3.  Evaluating pediatric brain tumor cellularity with diffusion-tensor imaging.

Authors:  K M Gauvain; R C McKinstry; P Mukherjee; A Perry; J J Neil; B A Kaufman; R J Hayashi
Journal:  AJR Am J Roentgenol       Date:  2001-08       Impact factor: 3.959

4.  Magnetic resonance of the brain: the optimal screening technique.

Authors:  M Brant-Zawadzki; D Norman; T H Newton; W M Kelly; B Kjos; C M Mills; W Dillon; D Sobel; L E Crooks
Journal:  Radiology       Date:  1984-07       Impact factor: 11.105

5.  How often are nonenhancing supratentorial gliomas malignant? A population study.

Authors:  J N Scott; P M A Brasher; R J Sevick; N B Rewcastle; P A Forsyth
Journal:  Neurology       Date:  2002-09-24       Impact factor: 9.910

6.  Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors.

Authors:  T L Chenevert; L D Stegman; J M Taylor; P L Robertson; H S Greenberg; A Rehemtulla; B D Ross
Journal:  J Natl Cancer Inst       Date:  2000-12-20       Impact factor: 13.506

7.  Measurement of cell density and necrotic fraction in human melanoma xenografts by diffusion weighted magnetic resonance imaging.

Authors:  H Lyng; O Haraldseth; E K Rofstad
Journal:  Magn Reson Med       Date:  2000-06       Impact factor: 4.668

8.  Vanishing contrast enhancement in malignant glioma after corticosteroid treatment.

Authors:  H S Zaki; M D Jenkinson; D G Du Plessis; T Smith; N G Rainov
Journal:  Acta Neurochir (Wien)       Date:  2004-06-07       Impact factor: 2.216

9.  The Karnofsky Performance Status Scale. An examination of its reliability and validity in a research setting.

Authors:  V Mor; L Laliberte; J N Morris; M Wiemann
Journal:  Cancer       Date:  1984-05-01       Impact factor: 6.860

10.  Utility of functional diffusion maps to monitor a patient diagnosed with gliomatosis cerebri.

Authors:  Benjamin M Ellingson; Scott D Rand; Mark G Malkin; Kathleen M Schmainda
Journal:  J Neurooncol       Date:  2009-10-08       Impact factor: 4.130

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  36 in total

1.  Functional diffusion maps (fDMs) evaluated before and after radiochemotherapy predict progression-free and overall survival in newly diagnosed glioblastoma.

Authors:  Benjamin M Ellingson; Timothy F Cloughesy; Taryar Zaw; Albert Lai; Phioanh L Nghiemphu; Robert Harris; Shadi Lalezari; Naveed Wagle; Kourosh M Naeini; Jose Carrillo; Linda M Liau; Whitney B Pope
Journal:  Neuro Oncol       Date:  2012-01-22       Impact factor: 12.300

2.  Restriction spectrum imaging predicts response to bevacizumab in patients with high-grade glioma.

Authors:  Carrie R McDonald; Rachel L Delfanti; Anitha P Krishnan; Kelly M Leyden; Jona A Hattangadi-Gluth; Tyler M Seibert; Roshan Karunamuni; Pia Elbe; Joshua M Kuperman; Hauke Bartsch; David E Piccioni; Nathan S White; Anders M Dale; Nikdokht Farid
Journal:  Neuro Oncol       Date:  2016-04-21       Impact factor: 12.300

3.  Brain maturation in neonatal rodents is impeded by sevoflurane anesthesia.

Authors:  Rany Makaryus; Hedok Lee; Tian Feng; June-Hee Park; Maiken Nedergaard; Zvi Jacob; Grigori Enikolopov; Helene Benveniste
Journal:  Anesthesiology       Date:  2015-09       Impact factor: 7.892

4.  Decreased tumor apparent diffusion coefficient correlates with objective response of pediatric low-grade glioma to bevacizumab.

Authors:  Christopher H Hsu; Robert M Lober; Matthew D Li; Sonia Partap; Patricia A Murphy; Patrick D Barnes; Paul G Fisher; Kristen W Yeom
Journal:  J Neurooncol       Date:  2015-03-11       Impact factor: 4.130

5.  Cell invasion, motility, and proliferation level estimate (CIMPLE) maps derived from serial diffusion MR images in recurrent glioblastoma treated with bevacizumab.

Authors:  Benjamin M Ellingson; Timothy F Cloughesy; Albert Lai; Phioanh L Nghiemphu; Whitney B Pope
Journal:  J Neurooncol       Date:  2011-03-26       Impact factor: 4.130

6.  Effects of perfusion on diffusion changes in human brain tumors.

Authors:  Alexander D Cohen; Peter S LaViolette; Melissa Prah; Jennifer Connelly; Mark G Malkin; Scott D Rand; Wade M Mueller; Kathleen M Schmainda
Journal:  J Magn Reson Imaging       Date:  2013-02-06       Impact factor: 4.813

7.  Vascular change measured with independent component analysis of dynamic susceptibility contrast MRI predicts bevacizumab response in high-grade glioma.

Authors:  Peter S LaViolette; Alex D Cohen; Melissa A Prah; Scott D Rand; Jennifer Connelly; Mark G Malkin; Wade M Mueller; Kathleen M Schmainda
Journal:  Neuro Oncol       Date:  2013-02-03       Impact factor: 12.300

Review 8.  Invited review--neuroimaging response assessment criteria for brain tumors in veterinary patients.

Authors:  John H Rossmeisl; Paulo A Garcia; Gregory B Daniel; John Daniel Bourland; Waldemar Debinski; Nikolaos Dervisis; Shawna Klahn
Journal:  Vet Radiol Ultrasound       Date:  2013-11-13       Impact factor: 1.363

9.  Dynamic-susceptibility contrast agent MRI measures of relative cerebral blood volume predict response to bevacizumab in recurrent high-grade glioma.

Authors:  Kathleen M Schmainda; Melissa Prah; Jennifer Connelly; Scott D Rand; Raymond G Hoffman; Wade Mueller; Mark G Malkin
Journal:  Neuro Oncol       Date:  2014-01-15       Impact factor: 12.300

10.  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

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