Current Clinical Brain Tumor Imaging

&NA; Neuroimaging plays an ever evolving role in the diagnosis, treatment planning, and post‐therapy assessment of brain tumors. This review provides an overview of current magnetic resonance imaging (MRI) methods routinely employed in the care of the brain tumor patient. Specifically, we focus on advanced techniques including diffusion, perfusion, spectroscopy, tractography, and functional MRI as they pertain to noninvasive characterization of brain tumors and pretreatment evaluation. The utility of both structural and physiological MRI in the post‐therapeutic brain evaluation is also reviewed with special attention to the challenges presented by pseudoprogression and pseudoresponse.

[1]  S. Price,et al.  Extent of resection of peritumoral diffusion tensor imaging-detected abnormality as a predictor of survival in adult glioblastoma patients. , 2017, Journal of neurosurgery.

[2]  R. Jain,et al.  Perfusion Imaging in Neuro-Oncology: Basic Techniques and Clinical Applications. , 2016, Magnetic resonance imaging clinics of North America.

[3]  P. Gutin,et al.  Meningioma after radiotherapy for malignancy , 2016, Journal of Clinical Neuroscience.

[4]  Jinsong Wu,et al.  Metabolic approach for tumor delineation in glioma surgery: 3D MR spectroscopy image-guided resection. , 2016, Journal of neurosurgery.

[5]  G. Reifenberger,et al.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary , 2016, Acta Neuropathologica.

[6]  Mark L. Greenberg,et al.  Clinical and treatment factors determining long‐term outcomes for adult survivors of childhood low‐grade glioma: A population‐based study , 2016, Cancer.

[7]  J. Boxerman,et al.  Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma. , 2016, Neuro-oncology.

[8]  K. Togashi,et al.  Radiation-associated Tumors in the Central Nervous System and the Head and Neck: What Radiologists Should Know , 2016 .

[9]  Dewen Yang Standardized MRI assessment of high-grade glioma response: a review of the essential elements and pitfalls of the RANO criteria. , 2016, Neuro-oncology practice.

[10]  Susan M. Chang,et al.  Magnetic resonance analysis of malignant transformation in recurrent glioma , 2016, Neuro-oncology.

[11]  M. Kimura,et al.  Multiparametric MR Imaging in the Assessment of Brain Tumors. , 2016, Magnetic resonance imaging clinics of North America.

[12]  S. Taillibert,et al.  Current Management of Adult Diffuse Infiltrative Low Grade Gliomas , 2016, Current Neurology and Neuroscience Reports.

[13]  U. Klose,et al.  Resting-state functional MRI in an intraoperative MRI setting: proof of feasibility and correlation to clinical outcome of patients. , 2016, Journal of neurosurgery.

[14]  Monica G. Allen,et al.  Resting-State Blood Oxygen Level-Dependent Functional MRI: A Paradigm Shift in Preoperative Brain Mapping , 2016, Stereotactic and Functional Neurosurgery.

[15]  R. Caivano,et al.  Comparison between magnetic resonance spectroscopy and diffusion weighted imaging in the evaluation of gliomas response after treatment. , 2015, European journal of radiology.

[16]  J. Sheehan,et al.  Leukoencephalopathy After Stereotactic Radiosurgery for Brain Metastases. , 2015, International journal of radiation oncology, biology, physics.

[17]  Marion Smits,et al.  Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials. , 2015, Neuro-oncology.

[18]  B. Beuthien-Baumann,et al.  Glioblastoma multiforme: emerging treatments and stratification markers beyond new drugs. , 2015, The British journal of radiology.

[19]  Steven J. M. Jones,et al.  Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas. , 2015, The New England journal of medicine.

[20]  Alexander R. Pico,et al.  Glioma Groups Based on 1p/19q, IDH, and TERT Promoter Mutations in Tumors. , 2015, The New England journal of medicine.

[21]  S. Brandner,et al.  Quantification of serial changes in cerebral blood volume and metabolism in patients with recurrent glioblastoma undergoing antiangiogenic therapy. , 2015, European journal of radiology.

[22]  C. Palm,et al.  Current standards and new concepts in MRI and PET response assessment of antiangiogenic therapies in high-grade glioma patients. , 2015, Neuro-oncology.

[23]  Danny J. J. Wang,et al.  Astrocytic tumour grading: a comparative study of three-dimensional pseudocontinuous arterial spin labelling, dynamic susceptibility contrast-enhanced perfusion-weighted imaging, and diffusion-weighted imaging , 2015, European Radiology.

[24]  R. Jain,et al.  Perfusion imaging in neuro-oncology: basic techniques and clinical applications. , 2015, Radiologic clinics of North America.

[25]  P. Wen,et al.  Medical management of brain tumors and the sequelae of treatment. , 2015, Neuro-oncology.

[26]  Soonmee Cha,et al.  Modern Brain Tumor Imaging , 2015, Brain tumor research and treatment.

[27]  T. Cloughesy,et al.  Arterial Spin-Labeling Perfusion MRI Stratifies Progression-Free Survival and Correlates with Epidermal Growth Factor Receptor Status in Glioblastoma , 2015, American Journal of Neuroradiology.

[28]  S. Choi,et al.  Glioblastoma treated with concurrent radiation therapy and temozolomide chemotherapy: differentiation of true progression from pseudoprogression with quantitative dynamic contrast-enhanced MR imaging. , 2015, Radiology.

[29]  Raymond Y Huang,et al.  Pitfalls in the Neuroimaging of Glioblastoma in the Era of Antiangiogenic and Immuno/Targeted Therapy – Detecting Illusive Disease, Defining Response , 2015, Front. Neurol..

[30]  I. Pollack,et al.  Pseudoprogression of low‐grade gliomas after radiotherapy , 2015, Pediatric blood & cancer.

[31]  Vivek Prabhakaran,et al.  Usage of fMRI for pre-surgical planning in brain tumor and vascular lesion patients: Task and statistical threshold effects on language lateralization☆☆☆ , 2014, NeuroImage: Clinical.

[32]  H. Duffau,et al.  New concepts in the management of diffuse low-grade glioma: Proposal of a multistage and individualized therapeutic approach. , 2014, Neuro-oncology.

[33]  Qun Wang,et al.  Role of magnetic resonance spectroscopy for the differentiation of recurrent glioma from radiation necrosis: a systematic review and meta-analysis. , 2014, European journal of radiology.

[34]  M. Fujiki,et al.  Comparison of Multiple Parameters Obtained on 3T Pulsed Arterial Spin-Labeling, Diffusion Tensor Imaging, and MRS and the Ki-67 Labeling Index in Evaluating Glioma Grading , 2014, American Journal of Neuroradiology.

[35]  H. Cebeci,et al.  Assesment of perfusion in glial tumors with arterial spin labeling; comparison with dynamic susceptibility contrast method. , 2014, European journal of radiology.

[36]  M Brada,et al.  High-grade glioma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. , 2014, Annals of oncology : official journal of the European Society for Medical Oncology.

[37]  E. Hoving,et al.  The role of diffusion tensor imaging in brain tumor surgery: A review of the literature , 2014, Clinical Neurology and Neurosurgery.

[38]  M. Berger,et al.  Quantifying accuracy and precision of diffusion MR tractography of the corticospinal tract in brain tumors. , 2014, Journal of neurosurgery.

[39]  Ganesh Rao,et al.  Preoperative imaging to predict intraoperative changes in tumor-to-corticospinal tract distance: an analysis of 45 cases using high-field intraoperative magnetic resonance imaging. , 2014, Neurosurgery.

[40]  R. Packer,et al.  Advances in the Management of Low-Grade Gliomas , 2014, Current Oncology Reports.

[41]  B. Bender,et al.  Prognostic Value of Blood Flow Measurements Using Arterial Spin Labeling in Gliomas , 2014, PloS one.

[42]  Alexander Radbruch,et al.  Progression types after antiangiogenic therapy are related to outcome in recurrent glioblastoma , 2014, Neurology.

[43]  A. McKinney,et al.  Toxic leukoencephalopathies, including drug, medication, environmental, and radiation-induced encephalopathic syndromes. , 2014, Seminars in ultrasound, CT, and MR.

[44]  J. Provenzale,et al.  Use of Apparent Diffusion Coefficient Values for Diagnosis of Pediatric Posterior Fossa Tumors , 2014, The neuroradiology journal.

[45]  W. Mason,et al.  Pretreatment ADC Histogram Analysis Is a Predictive Imaging Biomarker for Bevacizumab Treatment but Not Chemotherapy in Recurrent Glioblastoma , 2014, American Journal of Neuroradiology.

[46]  Manjari Tripathi,et al.  The role of neuronavigation-guided functional MRI and diffusion tensor tractography along with cortical stimulation in patients with eloquent cortex lesions , 2014, British journal of neurosurgery.

[47]  B. Lippitz,et al.  Stereotactic radiosurgery in the treatment of brain metastases: the current evidence. , 2014, Cancer treatment reviews.

[48]  T. Cloughesy,et al.  Regional and Voxel‐Wise Comparisons of Blood Flow Measurements Between Dynamic Susceptibility Contrast Magnetic Resonance Imaging (DSC‐MRI) and Arterial Spin Labeling (ASL) in Brain Tumors , 2014, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[49]  G. Tedeschi,et al.  Recurrent glioblastoma multiforme versus radiation injury: a multiparametric 3-T MR approach , 2014, La radiologia medica.

[50]  Tae Min Kim,et al.  Differentiation of true progression from pseudoprogression in glioblastoma treated with radiation therapy and concomitant temozolomide: comparison study of standard and high-b-value diffusion-weighted imaging. , 2013, Radiology.

[51]  Namkug Kim,et al.  Recurrent glioblastoma: optimum area under the curve method derived from dynamic contrast-enhanced T1-weighted perfusion MR imaging. , 2013, Radiology.

[52]  J. Uhm,et al.  Glioblastoma survival in the United States improved after Food and Drug Administration approval of bevacizumab: A population‐based analysis , 2013, Cancer.

[53]  J. Shimony,et al.  Resting-State fMRI: A Review of Methods and Clinical Applications , 2013, American Journal of Neuroradiology.

[54]  A. Dale,et al.  Longitudinal Restriction Spectrum Imaging Is Resistant to Pseudoresponse in Patients with High-Grade Gliomas Treated with Bevacizumab , 2013, American Journal of Neuroradiology.

[55]  Johannes B Reitsma,et al.  Can fMRI safely replace the Wada test for preoperative assessment of language lateralisation? A meta-analysis and systematic review , 2013, Journal of Neurology, Neurosurgery & Psychiatry.

[56]  R. Reis,et al.  Early Pseudoprogression following Chemoradiotherapy in Glioblastoma Patients: The Value of RANO Evaluation , 2013, Journal of oncology.

[57]  Rajan Jain,et al.  Measurements of tumor vascular leakiness using DCE in brain tumors: clinical applications , 2013, NMR in biomedicine.

[58]  A. Hasso,et al.  Neuroimaging Findings of the Post-Treatment Effects of Radiation and Chemotherapy of Malignant Primary Glial Neoplasms , 2013, The neuroradiology journal.

[59]  Joseph A Maldjian,et al.  Clinical applications of arterial spin labeling , 2013, NMR in biomedicine.

[60]  G. Reifenberger,et al.  Molecular neuro-oncology in clinical practice: a new horizon. , 2013, The Lancet. Oncology.

[61]  Geon-Ho Jahng,et al.  True Progression versus Pseudoprogression in the Treatment of Glioblastomas: A Comparison Study of Normalized Cerebral Blood Volume and Apparent Diffusion Coefficient by Histogram Analysis , 2013, Korean journal of radiology.

[62]  T. Kleinig Associations and implications of cerebral microbleeds , 2013, Journal of Clinical Neuroscience.

[63]  A Gregory Sorensen,et al.  Early post-bevacizumab progression on contrast-enhanced MRI as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 Central Reader Study. , 2013, Neuro-oncology.

[64]  M. Gilbert,et al.  Magnetic resonance spectroscopy as an early indicator of response to anti-angiogenic therapy in patients with recurrent glioblastoma: RTOG 0625/ACRIN 6677. , 2013, Neuro-oncology.

[65]  J J Phillips,et al.  Super-Resolution Track Density Imaging of Glioblastoma: Histopathologic Correlation , 2013, American Journal of Neuroradiology.

[66]  A. Connelly,et al.  White matter fiber tractography: why we need to move beyond DTI. , 2013, Journal of neurosurgery.

[67]  U. Schlegel,et al.  The Diagnosis and Treatment of Primary CNS Lymphoma. , 2018, Deutsches Arzteblatt international.

[68]  Geon-Ho Jahng,et al.  Pseudoprogression in patients with glioblastoma: added value of arterial spin labeling to dynamic susceptibility contrast perfusion MR imaging , 2013, Acta radiologica.

[69]  D. Meydan,et al.  Radiation-associated secondary brain tumors after conventional radiotherapy and radiosurgery , 2013, Expert review of neurotherapeutics.

[70]  M. Markey,et al.  Differentiating tumor recurrence from treatment necrosis: a review of neuro-oncologic imaging strategies. , 2013, Neuro-oncology.

[71]  R. Sawaya,et al.  The role of surgical resection in patients with brain metastases , 2013, Ecancermedicalscience.

[72]  K. Scheffler,et al.  Neuroendocrine Regulation and Metabolism of Glucose and Lipids in Primary Chronic Insomnia: A Prospective Case-Control Study , 2013, PloS one.

[73]  Elke Hattingen,et al.  Phospholipid Metabolites in Recurrent Glioblastoma: In Vivo Markers Detect Different Tumor Phenotypes before and under Antiangiogenic Therapy , 2013, PloS one.

[74]  S. Heiland,et al.  Differentiation of glioblastoma and primary CNS lymphomas using susceptibility weighted imaging. , 2013, European journal of radiology.

[75]  A. Škoch,et al.  Potential of MR spectroscopy for assessment of glioma grading , 2013, Clinical Neurology and Neurosurgery.

[76]  Ricardo J. Komotar,et al.  Discriminating radiation necrosis from tumor progression in gliomas: a systematic review what is the best imaging modality? , 2013, Journal of Neuro-Oncology.

[77]  Max Wintermark,et al.  Perfusion MRI: the five most frequently asked clinical questions. , 2013, AJR. American journal of roentgenology.

[78]  Xavier Franceries,et al.  Plate-based transfection and culturing technique for genetic manipulation of Plasmodium falciparum , 2012, Malaria Journal.

[79]  D. Kondziolka,et al.  Leukoencephalopathy after whole‐brain radiation therapy plus radiosurgery versus radiosurgery alone for metastatic lung cancer , 2013, Cancer.

[80]  S. Bluml,et al.  Guidelines for Acquiring and Reporting Clinical Neurospectroscopy , 2012, Seminars in neurology.

[81]  Tae Min Kim,et al.  Diffusion-weighted MR imaging for the differentiation of true progression from pseudoprogression following concomitant radiotherapy with temozolomide in patients with newly diagnosed high-grade gliomas. , 2012, Academic radiology.

[82]  P. Salunke,et al.  Molecular markers of glioma: an update on recent progress and perspectives , 2012, Journal of Cancer Research and Clinical Oncology.

[83]  F. Yamasaki,et al.  Advantages of high b-value diffusion-weighted imaging to diagnose pseudo-responses in patients with recurrent glioma after bevacizumab treatment. , 2012, European journal of radiology.

[84]  J. Olson,et al.  Re-examine tumor-induced alterations in hemodynamic responses of BOLD fMRI: implications in presurgical brain mapping , 2012, Acta radiologica.

[85]  P. D. Di Paolo,et al.  Cyst with a mural nodule tumor of the brain , 2012, Cancer imaging : the official publication of the International Cancer Imaging Society.

[86]  Dirk Rades,et al.  Radiotherapeutic and surgical management for newly diagnosed brain metastasis(es): An American Society for Radiation Oncology evidence-based guideline , 2012, Practical radiation oncology.

[87]  A. Vortmeyer,et al.  Delayed radiation-induced vasculitic leukoencephalopathy. , 2012, International journal of radiation oncology, biology, physics.

[88]  M. Rosenthal,et al.  Imaging modalities in high-grade gliomas: Pseudoprogression, recurrence, or necrosis? , 2012, Journal of Clinical Neuroscience.

[89]  Christopher Nimsky,et al.  Intraoperative Visualization of Fiber Tracking Based Reconstruction of Language Pathways in Glioma Surgery , 2012, Neurosurgery.

[90]  Seung Hong Choi,et al.  Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging--correlation with tumor grade. , 2011, Radiology.

[91]  A. Brodbelt Clinical applications of imaging biomarkers. Part 2. The neurosurgeon's perspective. , 2011, The British journal of radiology.

[92]  A G Sorensen,et al.  Pseudoprogression and Pseudoresponse: Imaging Challenges in the Assessment of Posttreatment Glioma , 2011, American Journal of Neuroradiology.

[93]  T. Mikkelsen,et al.  Differentiating treatment-induced necrosis from recurrent/progressive brain tumor using nonmodel-based semiquantitative indices derived from dynamic contrast-enhanced T1-weighted MR perfusion. , 2011, Neuro-oncology.

[94]  W. Shi,et al.  Potential utility of conventional MRI signs in diagnosing pseudoprogression in glioblastoma , 2011, Neurology.

[95]  T. Taxt,et al.  Anti-VEGF treatment reduces blood supply and increases tumor cell invasion in glioblastoma , 2011, Proceedings of the National Academy of Sciences.

[96]  Haiying Liu,et al.  Intraoperative Real-Time Querying of White Matter Tracts During Frameless Stereotactic Neuronavigation , 2011, Neurosurgery.

[97]  C. Miller,et al.  Gone FISHing: Clinical Lessons Learned in Brain Tumor Molecular Diagnostics over the Last Decade , 2011, Brain pathology.

[98]  Chris A Clark,et al.  Diffusion tensor imaging discriminates between glioblastoma and cerebral metastases in vivo , 2011, NMR in biomedicine.

[99]  I. Yang Impact of fMRI-guided advanced DTI fiber tracking techniques on their clinical applications in patients with brain tumors , 2011 .

[100]  M. Taphoorn,et al.  SMART syndrome: a late reversible complication after radiation therapy for brain tumours , 2011, Journal of Neurology.

[101]  Kenneth E Ekstrand,et al.  Use of 3.0-T MRI for stereotactic radiosurgery planning for treatment of brain metastases: a single-institution retrospective review. , 2010, International journal of radiation oncology, biology, physics.

[102]  D A Jaffray,et al.  Development of a geometrically accurate imaging protocol at 3 Tesla MRI for stereotactic radiosurgery treatment planning , 2010, Physics in medicine and biology.

[103]  P. Barker,et al.  Imaging of brain tumors: MR spectroscopy and metabolic imaging. , 2010, Neuroimaging clinics of North America.

[104]  Bettina Kulle,et al.  Proton magnetic resonance spectroscopy in the distinction of high-grade cerebral gliomas from single metastatic brain tumors , 2010, Acta radiologica.

[105]  Ru-Fang Yeh,et al.  Glioblastoma multiforme regional genetic and cellular expression patterns: influence on anatomic and physiologic MR imaging. , 2010, Radiology.

[106]  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.

[107]  Costanza Papagno,et al.  Is Preoperative Functional Magnetic Resonance Imaging Reliable for Language Areas Mapping in Brain Tumor Surgery? Review of Language Functional Magnetic Resonance Imaging and Direct Cortical Stimulation Correlation Studies , 2010, Neurosurgery.

[108]  J. Uhm Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group , 2010 .

[109]  E. Hattingen,et al.  Bevacizumab-induced diffusion-restricted lesions in malignant glioma patients , 2010, Journal of Neuro-Oncology.

[110]  Kenneth R. Maravilla,et al.  Distinction between glioma progression and post-radiation change by combined physiologic MR imaging , 2010, Neuroradiology.

[111]  M. Fox,et al.  PREOPERATIVE SENSORIMOTOR MAPPING IN BRAIN TUMOR PATIENTS USING SPONTANEOUS FLUCTUATIONS IN NEURONAL ACTIVITY IMAGED WITH FUNCTIONAL MAGNETIC RESONANCE IMAGING: INITIAL EXPERIENCE , 2009, Neurosurgery.

[112]  P. Kleihues,et al.  Genetic alterations and signaling pathways in the evolution of gliomas , 2009, Cancer science.

[113]  P. Kalina,et al.  MR imaging of late radiation therapy- and chemotherapy-induced injury: a pictorial essay , 2009, European Radiology.

[114]  Roland Bammer,et al.  New methods in diffusion-weighted and diffusion tensor imaging. , 2009, Magnetic resonance imaging clinics of North America.

[115]  Eric E. Smith,et al.  Small Vessel Infarcts and Microbleeds Associated with Radiation Exposure , 2009, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

[116]  D. Stewart,et al.  Pathology and new players in the pathogenesis of brain edema , 2009, Acta Neuropathologica.

[117]  E. Haacke,et al.  Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Part 1 , 2008, American Journal of Neuroradiology.

[118]  Z. Wu,et al.  Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Part 2 , 2008, American Journal of Neuroradiology.

[119]  J. Uhm Comprehensive genomic characterization defines human glioblastoma genes and core pathways , 2009 .

[120]  M. Law,et al.  Magnetic resonance spectroscopy of the brain: review of metabolites and clinical applications. , 2009, Clinical radiology.

[121]  Peter Boesiger,et al.  Impact of fMRI-guided advanced DTI fiber tracking techniques on their clinical applications in patients with brain tumors , 2009, Neuroradiology.

[122]  Dieta Brandsma,et al.  Incidence of early pseudo‐progression in a cohort of malignant glioma patients treated with chemoirradiation with temozolomide , 2008, Cancer.

[123]  Dieta Brandsma,et al.  Clinical features, mechanisms, and management of pseudoprogression in malignant gliomas. , 2008, The Lancet. Oncology.

[124]  Douglas C. Miller,et al.  Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. , 2008, Radiology.

[125]  S. Y. Kim,et al.  Diagnostic accuracy and interobserver variability of pulsed arterial spin labeling for glioma grading , 2008, Acta radiologica.

[126]  A. Brandes,et al.  MGMT promoter methylation status can predict the incidence and outcome of pseudoprogression after concomitant radiochemotherapy in newly diagnosed glioblastoma patients. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[127]  F. Umansky,et al.  Radiation-induced meningioma. , 2008, Neurosurgical focus.

[128]  Yue Cao,et al.  Radiation-induced changes in normal-appearing white matter in patients with cerebral tumors: a diffusion tensor imaging study. , 2008, International journal of radiation oncology, biology, physics.

[129]  P. Barker,et al.  Can Proton MR Spectroscopic and Perfusion Imaging Differentiate Between Neoplastic and Nonneoplastic Brain Lesions in Adults? , 2008, American Journal of Neuroradiology.

[130]  B. Scheithauer,et al.  The 2007 WHO classification of tumours of the central nervous system , 2007, Acta Neuropathologica.

[131]  M. Berger,et al.  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 , 2007, American Journal of Neuroradiology.

[132]  Wei Huang,et al.  Use of MR spectroscopy and functional imaging in the treatment planning of gliomas , 2007 .

[133]  Walter Stummer,et al.  Mechanisms of tumor-related brain edema. , 2007, Neurosurgical focus.

[134]  J. Smirniotopoulos,et al.  Patterns of contrast enhancement in the brain and meninges. , 2007, Radiographics : a review publication of the Radiological Society of North America, Inc.

[135]  Paul S Tofts,et al.  Apparent diffusion coefficient histograms may predict low‐grade glioma subtype , 2007, NMR in biomedicine.

[136]  Tracy T Batchelor,et al.  AZD2171, a pan-VEGF receptor tyrosine kinase inhibitor, normalizes tumor vasculature and alleviates edema in glioblastoma patients. , 2007, Cancer cell.

[137]  D. Louis WHO classification of tumours of the central nervous system , 2007 .

[138]  Andrew E. Sloan,et al.  Early necrosis following concurrent Temodar and radiotherapy in patients with glioblastoma , 2007, Journal of Neuro-Oncology.

[139]  Elias R Melhem,et al.  Advanced MR imaging techniques in the diagnosis of intraaxial brain tumors in adults. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

[140]  M. Viergever,et al.  Neuronavigation and surgery of intracerebral tumours , 2006, Journal of Neurology.

[141]  Kyung K. Peck,et al.  Effect of brain tumor neovasculature defined by rCBV on BOLD fMRI activation volume in the primary motor cortex , 2006, NeuroImage.

[142]  Talma Hendler,et al.  Characterization of displaced white matter by brain tumors using combined DTI and fMRI , 2006, NeuroImage.

[143]  J. Gillard,et al.  Diffusion-weighted MR Imaging of the brain , 2006 .

[144]  Geoff J M Parker,et al.  Is volume transfer coefficient (K(trans)) related to histologic grade in human gliomas? , 2005, AJNR. American journal of neuroradiology.

[145]  Kaoru Kurisu,et al.  Apparent diffusion coefficient of human brain tumors at MR imaging. , 2005, Radiology.

[146]  Soonmee Cha,et al.  Update on brain tumor imaging , 2005, Current neurology and neuroscience reports.

[147]  Martin J. van den Bent,et al.  Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. , 2005, The New England journal of medicine.

[148]  Nancy J Fischbein,et al.  Differentiation of low-grade oligodendrogliomas from low-grade astrocytomas by using quantitative blood-volume measurements derived from dynamic susceptibility contrast-enhanced MR imaging. , 2005, AJNR. American journal of neuroradiology.

[149]  A. Drevelegas Extra-axial brain tumors , 2005, European Radiology.

[150]  Karl-Josef Langen,et al.  Can the apparent diffusion coefficient be used as a noninvasive parameter to distinguish tumor tissue from peritumoral tissue in cerebral gliomas? , 2004, Journal of magnetic resonance imaging : JMRI.

[151]  H. Amthauer,et al.  123I-IMT SPECT and 1HMR-Spectroscopy at 3.0T in the Differential Diagnosis of Recurrent or Residual Gliomas: A Comparative Study , 2004, Journal of Neuro-Oncology.

[152]  M. J. van den Bent,et al.  Immediate post-radiotherapy changes in malignant glioma can mimic tumor progression , 2004, Neurology.

[153]  K. Fountas,et al.  Noninvasive Histologic Grading of Solid Astrocytomas Using Proton Magnetic Resonance Spectroscopy , 2004, Stereotactic and Functional Neurosurgery.

[154]  Glyn Johnson,et al.  Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: introduction of the tumor infiltration index. , 2004, Radiology.

[155]  E. Neuwelt Mechanisms of Disease: The Blood-Brain Barrier , 2004, Neurosurgery.

[156]  K. Aldape,et al.  Hemorrhage and VEGF Expression in a Case of Primary CNS Lymphoma , 2002, Journal of Neuro-Oncology.

[157]  ChiangIC,et al.  Distinction between high-grade gliomas and solitary metastases using peritumoral 3-T magnetic resonance spectroscopy, diffusion, and perfusion imagings , 2004 .

[158]  C. Given,et al.  The MRI appearance of tumefactive demyelinating lesions. , 2004, AJR. American journal of roentgenology.

[159]  S. Furui,et al.  MRI appearances of calcified regions within intracranial tumours , 2004, Neuroradiology.

[160]  A. Herneth,et al.  Apparent diffusion coefficient: a quantitative parameter for in vivo tumor characterization. , 2003, European journal of radiology.

[161]  W El-Deredy,et al.  Tumour grading from magnetic resonance spectroscopy: a comparison of feature extraction with variable selection , 2003, Statistics in medicine.

[162]  Liu Yuguang,et al.  Intracranial tumoural haemorrhage – a report of 58 cases , 2002, Journal of Clinical Neuroscience.

[163]  M. Berger,et al.  Histopathological validation of a three-dimensional magnetic resonance spectroscopy index as a predictor of tumor presence. , 2002, Journal of neurosurgery.

[164]  P. Lai,et al.  Diffusion-weighted MRI features of brain abscess and cystic or necrotic brain tumors: comparison with conventional MRI. , 2002, Clinical imaging.

[165]  Glyn Johnson,et al.  High-grade gliomas and solitary metastases: differentiation by using perfusion and proton spectroscopic MR imaging. , 2002, Radiology.

[166]  W. Dillon,et al.  Quantitative estimation of microvascular permeability in human brain tumors: correlation of dynamic Gd-DTPA-enhanced MR imaging with histopathologic grading. , 2002, Academic radiology.

[167]  A Thron,et al.  Three-dimensional Visualization of the Pyramidal Tract in a Neuronavigation System during Brain Tumor Surgery: First Experiences and Technical Note , 2001, Neurosurgery.

[168]  G. Johnson,et al.  Dynamic contrast-enhanced T2*-weighted MR imaging of tumefactive demyelinating lesions. , 2001, AJNR. American journal of neuroradiology.

[169]  V. Jellús,et al.  Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings. , 2001, AJNR. American journal of neuroradiology.

[170]  J K Smith,et al.  Correlation of myo-inositol levels and grading of cerebral astrocytomas. , 2000, AJNR. American journal of neuroradiology.

[171]  W P Dillon,et al.  Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade. , 2000, AJNR. American journal of neuroradiology.

[172]  R. Henry,et al.  Comparison of relative cerebral blood volume and proton spectroscopy in patients with treated gliomas. , 2000, AJNR. American journal of neuroradiology.

[173]  C. Lumenta,et al.  BrainLab VectorVision Neuronavigation System: technology and clinical experiences in 131 cases. , 1999, Neurosurgery.

[174]  G. Fuller,et al.  The significance of lack of MR contrast enhancement of supratentorial brain tumors in adults: histopathological evaluation of a series. , 1998, Surgical neurology.

[175]  C Tanaka,et al.  Discrimination of brain abscess from necrotic or cystic tumors by diffusion-weighted echo planar imaging. , 1996, Magnetic resonance imaging.

[176]  Kim Butts,et al.  Clinical Aspects of DWI , 1995, NMR in biomedicine.

[177]  D. Kondziolka,et al.  Significance of hemorrhage into brain tumors: clinicopathological study. , 1987, Journal of neurosurgery.