ArticleEuropean radiology2010
Dynamic CT perfusion imaging of intra-axial brain tumours: differentiation of high-grade gliomas from primary CNS lymphomas.
Article in European radiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Differentiation of primary central nervous system lymphomas and glioblastomas: comparisons of diagnostic performance of dynamic susceptibility contrast-enhanced perfusion MR imaging without and with contrast-leakage correction.AJNR. American journal of neuroradiologyTrial
- CT Perfusion in the differential diagnosis of glioblastomas and primary central nervous system lymphomas.Neuroradiology · 2026Article
- Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: CT vs MRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Blood-Brain Barrier Permeability Dynamics and Mediation of Triglyceride-Glucose Index on Acute Ischemic Stroke Outcomes.Journal of the American Heart Association · 2026Article
- Early and delayed blood-brain barrier permeability predicts delayed cerebral ischemia and outcomes following aneurysmal subarachnoid hemorrhage.European radiology · 2024Article
- Article
- Hemodynamic Imaging in Cerebral Diffuse Glioma-Part A: Concept, Differential Diagnosis and Tumor Grading.Cancers · 2022Review
- Machine Learning and Deep Learning CT-Based Models for Predicting the Primary Central Nervous System Lymphoma and Glioma Types: A Multicenter Retrospective Study.Frontiers in neurology · 2022Article
- A simple model for glioma grading based on texture analysis applied to conventional brain MRI.PloS one · 2020Article
- Imaging features (CT, MRI, MRS, and PET/CT) of primary central nervous system lymphoma in immunocompetent patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019Article
- Clinical Value of Vascular Permeability Estimates Using Dynamic Susceptibility Contrast MRI: Improved Diagnostic Performance in Distinguishing Hypervascular Primary CNS Lymphoma from Glioblastoma.AJNR. American journal of neuroradiology · 2018Article
- Local Glioma Cells Are Associated with Vascular Dysregulation.AJNR. American journal of neuroradiology · 2018Article
- Efficacy of Perfusion Computed Tomography (PCT) in Differentiating High-Grade Gliomas from Low Grade Gliomas, Lymphomas, Metastases and Abscess.Journal of clinical and diagnostic research : JCDR · 2017Article
- A Population-Based Digital Reference Object (DRO) for Optimizing Dynamic Susceptibility Contrast (DSC)-MRI Methods for Clinical Trials.Tomography (Ann Arbor, Mich.) · 2017Article
- Diagnostic Accuracy of T1-Weighted Dynamic Contrast-Enhanced-MRI and DWI-ADC for Differentiation of Glioblastoma and Primary CNS Lymphoma.AJNR. American journal of neuroradiology · 2017Article
- Glioblastoma Induces Vascular Dysregulation in Nonenhancing Peritumoral Regions in Humans.AJR. American journal of roentgenology · 2016Article
- Perfusion computed tomography of intracranial meningiomas: In vivo correlation of cerebral blood volume and vascular permeability.The neuroradiology journal · 2015Article
- Evaluation of microvascular permeability with dynamic contrast-enhanced MRI for the differentiation of primary CNS lymphoma and glioblastoma: radiologic-pathologic correlation.AJNR. American journal of neuroradiology · 2014Article
- Perfusion computed tomography assessments of peri-enhancing brain tissue in high-grade gliomas.La Radiologia medica · 2013Article
- Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomography.European radiology · 2012Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPerfusion computed tomography (PCT) allows to quantitatively assess haemodynamic characteristics of brain tissue. We investigated if different brain tumor types can be distinguished from each other using Patlak analysis of PCT data.
methodsPCT data from 43 patients with brain tumours were analysed with a commercial implementation of the Patlak method. Four patients had low-grade glioma (WHO II), 31 patients had glioblastoma (WHO IV) and eight patients had intracerebral lymphoma. Tumour regions of interest (ROIs) were drawn in a morphological image and automatically transferred to maps of cerebral blood flow (CBF), cerebral blood volume (CBV) and permeability (K (Trans)). Mean values were calculated, group differences were tested using Wilcoxon and Mann Whitney U-tests.
resultsIn comparison with normal parenchyma, low-grade gliomas showed no significant difference of perfusion parameters (p > 0.05) , whereas high-grade gliomas demonstrated significantly higher values (p < 0.0001 for K (Trans), p < 0.0001 for CBV and p = 0.0002 for CBF). Lymphomas displayed significantly increased mean K(Trans) values compared with unaffected cerebral parenchyma (p = 0.0078) but no elevation of CBV. High-grade gliomas show significant higher CBV values than lymphomas (p = 0.0078). DISCUSSION: PCT allows to reliably classify gliomas and lymphomas based on quantitative measurements of CBV and K (Trans).
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