Bookmarks
KEY FACTS
Terminology
Imaging
Top Differential Diagnoses
Pathology
Clinical Issues
TERMINOLOGY
Synonyms
- Grade 4 astrocytoma, malignant astrocytoma, glioblastoma multiforme (outdated term)
Definitions
- Rapidly enlarging, malignant astrocytic tumor characterized by necrosis & neovascularity
IMAGING
General Features
CT Findings
MR Findings
Angiographic Findings
Nuclear Medicine Findings
Imaging Recommendations
DIFFERENTIAL DIAGNOSIS
PATHOLOGY
General Features
Staging, Grading, & Classification
Gross Pathologic & Surgical Features
Microscopic Features
CLINICAL ISSUES
Presentation
Demographics
Natural History & Prognosis
Treatment
DIAGNOSTIC CHECKLIST
Consider
Image Interpretation Pearls
Selected References
- Espiritu AI et al: Congenital glioblastoma multiforme with long-term childhood survival: a case report and systematic review. World Neurosurg. 139:90-6, 2020
- Hakar MH et al: Updates in pediatric glioma pathology. Surg Pathol Clin. 13(4):801-16, 2020
- Wang Q et al: Primary cerebellar glioblastomas in children: clinical presentation and management. Neurosurg Rev. 44(3):1747-54, 2020
- Tixier F et al: Preoperative MRI-radiomics features improve prediction of survival in glioblastoma patients over MGMT methylation status alone. Oncotarget. 10(6):660-72, 2019
- Hong EK et al: Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma. Eur Radiol. 28(10):4350-61, 2018
- Lam S et al: Patient and treatment factors associated with survival among pediatric glioblastoma patients: a surveillance, epidemiology, and end results study. J Clin Neurosci. 47:285-93, 2018
- Korshunov A et al: H3-/IDH-wild type pediatric glioblastoma is comprised of molecularly and prognostically distinct subtypes with associated oncogenic drivers. Acta Neuropathol. 134(3):507-16, 2017
- Liu X et al: The preliminary radiogenomics association between MR perfusion imaging parameters and genomic biomarkers, and their predictive performance of overall survival in patients with glioblastoma. J Neurooncol. 135(3):553-60, 2017
- Cui Y et al: Prognostic imaging biomarkers in glioblastoma: development and independent validation on the basis of multiregion and quantitative analysis of MR images. Radiology. 278(2):546-53, 2016
- Louis DN et al: The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol. 131(6):803-20, 2016
- Nikitović M et al: Pediatric glioblastoma: a single institution experience. Childs Nerv Syst. 32(1):97-103, 2016
- Andre JB et al: Cerebral blood flow changes in glioblastoma patients undergoing bevacizumab treatment are seen in both tumor and normal brain. Neuroradiol J. 28(2):112-9, 2015
- Bauer AH et al: Differentiation of solitary brain metastasis from glioblastoma multiforme: a predictive multiparametric approach using combined MR diffusion and perfusion. Neuroradiology. 57(7):697-703, 2015
- Blasel S et al: Perfusion MRI in the evaluation of suspected glioblastoma recurrence. J Neuroimaging. 26(1):116-23, 2015
- Harris RJ et al: MRI perfusion measurements calculated using advanced deconvolution techniques predict survival in recurrent glioblastoma treated with bevacizumab. J Neurooncol. 122(3):497-505, 2015
- Iagaru A et al: Glioblastoma multiforme recurrence: an exploratory study of 18F FPPRGD2 PET/CT. Radiology. 141550, 2015
- Ideguchi M et al: MRI findings and pathological features in early-stage glioblastoma. J Neurooncol. 123(2):289-97, 2015
- Kobayashi K et al: Prognostic value of volume-based measurements on (11)C-methionine PET in glioma patients. Eur J Nucl Med Mol Imaging. 42(7):1071-80, 2015
- Mabray MC et al: Modern brain tumor imaging. Brain Tumor Res Treat. 3(1):8-23, 2015
- Melguizo-Gavilanes I et al: Characterization of pseudoprogression in patients with glioblastoma: is histology the gold standard? J Neurooncol. 123(1):141-50, 2015
- Pope WB: Genomics of brain tumor imaging. Neuroimaging Clin N Am. 25(1):105-19, 2015
- Schmainda KM et al: 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. Neuro Oncol. 17(8):1145-56, 2015
- Smith TR et al: Use of preoperative FLAIR MRI and ependymal proximity of tumor enhancement as surrogate markers of brain tumor origin. J Clin Neurosci. 22(9):1397-402, 2015
- Stadlbauer A et al: Quantification of serial changes in cerebral blood volume and metabolism in patients with recurrent glioblastoma undergoing antiangiogenic therapy. Eur J Radiol. 84(6):1128-36, 2015
- Tietze A et al: Perfusion MRI derived indices of microvascular shunting and flow control correlate with tumor grade and outcome in patients with cerebral glioma. PLoS One. 10(4):e0123044, 2015
- Barajas RF Jr et al: Benefits of dynamic susceptibility-weighted contrast-enhanced perfusion MRI for glioma diagnosis and therapy. CNS Oncol. 3(6):407-19, 2014
- Das KK et al: Pediatric glioblastoma: clinico-radiological profile and factors affecting the outcome. Childs Nerv Syst. 28(12):2055-62, 2012
- Mahvash M et al: Glioblastoma multiforme in children: report of 13 cases and review of the literature. Pediatr Neurol. 45(3):178-80, 2011
- Perkins SM et al: Glioblastoma in children: a single-institution experience. Int J Radiat Oncol Biol Phys. 80(4):1117-21, 2011
- Martin V et al: Encountering and advancing through antiangiogenesis therapy for gliomas. Curr Pharm Des. 15(4):353-64, 2009
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References
Tables
Tables
KEY FACTS
Terminology
Imaging
Top Differential Diagnoses
Pathology
Clinical Issues
TERMINOLOGY
Synonyms
- Grade 4 astrocytoma, malignant astrocytoma, glioblastoma multiforme (outdated term)
Definitions
- Rapidly enlarging, malignant astrocytic tumor characterized by necrosis & neovascularity
IMAGING
General Features
CT Findings
MR Findings
Angiographic Findings
Nuclear Medicine Findings
Imaging Recommendations
DIFFERENTIAL DIAGNOSIS
PATHOLOGY
General Features
Staging, Grading, & Classification
Gross Pathologic & Surgical Features
Microscopic Features
CLINICAL ISSUES
Presentation
Demographics
Natural History & Prognosis
Treatment
DIAGNOSTIC CHECKLIST
Consider
Image Interpretation Pearls
Selected References
- Espiritu AI et al: Congenital glioblastoma multiforme with long-term childhood survival: a case report and systematic review. World Neurosurg. 139:90-6, 2020
- Hakar MH et al: Updates in pediatric glioma pathology. Surg Pathol Clin. 13(4):801-16, 2020
- Wang Q et al: Primary cerebellar glioblastomas in children: clinical presentation and management. Neurosurg Rev. 44(3):1747-54, 2020
- Tixier F et al: Preoperative MRI-radiomics features improve prediction of survival in glioblastoma patients over MGMT methylation status alone. Oncotarget. 10(6):660-72, 2019
- Hong EK et al: Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma. Eur Radiol. 28(10):4350-61, 2018
- Lam S et al: Patient and treatment factors associated with survival among pediatric glioblastoma patients: a surveillance, epidemiology, and end results study. J Clin Neurosci. 47:285-93, 2018
- Korshunov A et al: H3-/IDH-wild type pediatric glioblastoma is comprised of molecularly and prognostically distinct subtypes with associated oncogenic drivers. Acta Neuropathol. 134(3):507-16, 2017
- Liu X et al: The preliminary radiogenomics association between MR perfusion imaging parameters and genomic biomarkers, and their predictive performance of overall survival in patients with glioblastoma. J Neurooncol. 135(3):553-60, 2017
- Cui Y et al: Prognostic imaging biomarkers in glioblastoma: development and independent validation on the basis of multiregion and quantitative analysis of MR images. Radiology. 278(2):546-53, 2016
- Louis DN et al: The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol. 131(6):803-20, 2016
- Nikitović M et al: Pediatric glioblastoma: a single institution experience. Childs Nerv Syst. 32(1):97-103, 2016
- Andre JB et al: Cerebral blood flow changes in glioblastoma patients undergoing bevacizumab treatment are seen in both tumor and normal brain. Neuroradiol J. 28(2):112-9, 2015
- Bauer AH et al: Differentiation of solitary brain metastasis from glioblastoma multiforme: a predictive multiparametric approach using combined MR diffusion and perfusion. Neuroradiology. 57(7):697-703, 2015
- Blasel S et al: Perfusion MRI in the evaluation of suspected glioblastoma recurrence. J Neuroimaging. 26(1):116-23, 2015
- Harris RJ et al: MRI perfusion measurements calculated using advanced deconvolution techniques predict survival in recurrent glioblastoma treated with bevacizumab. J Neurooncol. 122(3):497-505, 2015
- Iagaru A et al: Glioblastoma multiforme recurrence: an exploratory study of 18F FPPRGD2 PET/CT. Radiology. 141550, 2015
- Ideguchi M et al: MRI findings and pathological features in early-stage glioblastoma. J Neurooncol. 123(2):289-97, 2015
- Kobayashi K et al: Prognostic value of volume-based measurements on (11)C-methionine PET in glioma patients. Eur J Nucl Med Mol Imaging. 42(7):1071-80, 2015
- Mabray MC et al: Modern brain tumor imaging. Brain Tumor Res Treat. 3(1):8-23, 2015
- Melguizo-Gavilanes I et al: Characterization of pseudoprogression in patients with glioblastoma: is histology the gold standard? J Neurooncol. 123(1):141-50, 2015
- Pope WB: Genomics of brain tumor imaging. Neuroimaging Clin N Am. 25(1):105-19, 2015
- Schmainda KM et al: 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. Neuro Oncol. 17(8):1145-56, 2015
- Smith TR et al: Use of preoperative FLAIR MRI and ependymal proximity of tumor enhancement as surrogate markers of brain tumor origin. J Clin Neurosci. 22(9):1397-402, 2015
- Stadlbauer A et al: Quantification of serial changes in cerebral blood volume and metabolism in patients with recurrent glioblastoma undergoing antiangiogenic therapy. Eur J Radiol. 84(6):1128-36, 2015
- Tietze A et al: Perfusion MRI derived indices of microvascular shunting and flow control correlate with tumor grade and outcome in patients with cerebral glioma. PLoS One. 10(4):e0123044, 2015
- Barajas RF Jr et al: Benefits of dynamic susceptibility-weighted contrast-enhanced perfusion MRI for glioma diagnosis and therapy. CNS Oncol. 3(6):407-19, 2014
- Das KK et al: Pediatric glioblastoma: clinico-radiological profile and factors affecting the outcome. Childs Nerv Syst. 28(12):2055-62, 2012
- Mahvash M et al: Glioblastoma multiforme in children: report of 13 cases and review of the literature. Pediatr Neurol. 45(3):178-80, 2011
- Perkins SM et al: Glioblastoma in children: a single-institution experience. Int J Radiat Oncol Biol Phys. 80(4):1117-21, 2011
- Martin V et al: Encountering and advancing through antiangiogenesis therapy for gliomas. Curr Pharm Des. 15(4):353-64, 2009
