Diffusion-weighted MRI derived apparent diffusion coefficient identifies prognostically distinct subgroups of pediatric diffuse intrinsic pontine glioma

[1]  K. Yeom,et al.  Prognostic role for diffusion-weighted imaging of pediatric optic pathway glioma , 2013, Journal of Neuro-Oncology.

[2]  Matthew M. Pearson,et al.  Diffusion-Weighted MRI: Distinction of Skull Base Chordoma from Chondrosarcoma , 2013, American Journal of Neuroradiology.

[3]  J. Barnholtz-Sloan,et al.  CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2007-2011. , 2012, Neuro-oncology.

[4]  David T. W. Jones,et al.  Hotspot mutations in H3F3A and IDH1 define distinct epigenetic and biological subgroups of glioblastoma. , 2012, Cancer cell.

[5]  David T. W. Jones,et al.  K27M mutation in histone H3.3 defines clinically and biologically distinct subgroups of pediatric diffuse intrinsic pontine gliomas , 2012, Acta Neuropathologica.

[6]  P. Varlet,et al.  Mesenchymal Transition and PDGFRA Amplification/Mutation Are Key Distinct Oncogenic Events in Pediatric Diffuse Intrinsic Pontine Gliomas , 2012, PloS one.

[7]  W. Vandertop,et al.  Diffuse intrinsic pontine gliomas: a systematic update on clinical trials and biology. , 2012, Cancer treatment reviews.

[8]  David T. W. Jones,et al.  Driver mutations in histone H3.3 and chromatin remodelling genes in paediatric glioblastoma , 2012, Nature.

[9]  Li Ding,et al.  Somatic Histone H3 Alterations in Paediatric Diffuse Intrinsic Pontine Gliomas and Non-Brainstem Glioblastomas , 2012, Nature Genetics.

[10]  D. Hammoud,et al.  Predicting outcome of children with diffuse intrinsic pontine gliomas using multiparametric imaging. , 2011, Neuro-oncology.

[11]  J. Shih,et al.  Proton magnetic resonance spectroscopy predicts survival in children with diffuse intrinsic pontine glioma , 2011, Journal of Neuro-Oncology.

[12]  I. Pollack,et al.  MRI as a central component of clinical trials analysis in brainstem glioma: a report from the Pediatric Brain Tumor Consortium (PBTC). , 2011, Neuro-oncology.

[13]  W. Reddick,et al.  Quantitative Diffusion-Weighted and Dynamic Susceptibility-Weighted Contrast-Enhanced Perfusion MR Imaging Analysis of T2 Hypointense Lesion Components in Pediatric Diffuse Intrinsic Pontine Glioma , 2011, American Journal of Neuroradiology.

[14]  E. Gasparetto,et al.  Diffusion MR imaging in central nervous system. , 2011, Magnetic resonance imaging clinics of North America.

[15]  A. Panigrahy,et al.  Apparent Diffusion and Fractional Anisotropy of Diffuse Intrinsic Brain Stem Gliomas , 2010, American Journal of Neuroradiology.

[16]  S. Cha,et al.  Diffusion-Weighted MR Imaging Derived Apparent Diffusion Coefficient Is Predictive of Clinical Outcome in Primary Central Nervous System Lymphoma , 2010, American Journal of Neuroradiology.

[17]  J. Brandon,et al.  Conventional MRI at presentation does not predict clinical response to radiation therapy in children with diffuse pontine glioma , 2009, Pediatric Radiology.

[18]  R. McKinstry,et al.  Diffusion-weighted and dynamic contrast-enhanced imaging as markers of clinical behavior in children with optic pathway glioma , 2008, Pediatric Radiology.

[19]  N. Chuang,et al.  Conventional MRI cannot predict survival in childhood diffuse intrinsic pontine glioma , 2008, Journal of Neuro-Oncology.

[20]  Daniel L. A. Camacho,et al.  Apparent diffusion coefficients for differentiation of cerebellar tumors in children. , 2006, AJNR. American journal of neuroradiology.

[21]  S. Donaldson,et al.  Advances toward an understanding of brainstem gliomas. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[22]  D. Hargrave,et al.  Diffuse brainstem glioma in children: critical review of clinical trials. , 2006, The Lancet. Oncology.

[23]  James M Provenzale,et al.  Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. , 2002, Radiology.

[24]  R C McKinstry,et al.  Evaluating pediatric brain tumor cellularity with diffusion-tensor imaging. , 2001, AJR. American journal of roentgenology.

[25]  Toshinori Hirai,et al.  Usefulness of diffusion‐weighted MRI with echo‐planar technique in the evaluation of cellularity in gliomas , 1999, Journal of magnetic resonance imaging : JMRI.

[26]  T L Chenevert,et al.  Monitoring early response of experimental brain tumors to therapy using diffusion magnetic resonance imaging. , 1997, Clinical cancer research : an official journal of the American Association for Cancer Research.

[27]  K. Krabbe,et al.  MR diffusion imaging of human intracranial tumours , 1997, Neuroradiology.

[28]  J G Pipe,et al.  In vivo MR determination of water diffusion coefficients and diffusion anisotropy: correlation with structural alteration in gliomas of the cerebral hemispheres. , 1995, AJNR. American journal of neuroradiology.

[29]  R D Tien,et al.  MR imaging of high-grade cerebral gliomas: value of diffusion-weighted echoplanar pulse sequences. , 1994, AJR. American journal of roentgenology.

[30]  J. Krischer,et al.  Brain stem gliomas: a classification system based on magnetic resonance imaging. , 1990, Pediatric neurosurgery.

[31]  P. Grenier,et al.  MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. , 1986, Radiology.

[32]  C. Kruchko,et al.  CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2005-2009. , 2012, Neuro-oncology.

[33]  M. Prados,et al.  Radiologic classification of brain stem tumors: correlation of magnetic resonance imaging appearance with clinical outcome. , 1996, Pediatric neurosurgery.

[34]  J V Hajnal,et al.  MR imaging of anisotropically restricted diffusion of water in the nervous system: technical, anatomic, and pathologic considerations. , 1991, Journal of computer assisted tomography.