Dynamic CT perfusion imaging of intra-axial brain tumours: differentiation of high-grade gliomas from primary CNS lymphomas.
Introduction: Perfusion 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.Methods: PCT data from 43 patients with brain tumours...
| Publicado en: | European Radiology Vol. 20; no. 10; pp. 2482 - 2491 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104924000&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104924000 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Oct2010 vid: 20 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104924000 53703851 NLM20495977 2010796848 10.1007/s00330-010-1817-4 NLM20495977 PMC2940017 104924000 ppf: 2482 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Dynamic CT perfusion imaging of intra-axial brain tumours: differentiation of high-grade gliomas from primary CNS lymphomas. aug: au: Schramm P Xyda A Klotz E Tronnier V Knauth M Hartmann M Schramm, Peter Xyda, Argyro Klotz, Ernst Tronnier, Volker Knauth, Michael Hartmann, Marius affil: Department of Neuroradiology, University of Goettingen Medical Center, Robert-Koch-Str. 40, 37075, Goettingen, Germany sug: subj: Brain Neoplasms Diagnosis Brain Neoplasms Pathology Central Nervous System Neoplasms Diagnosis Central Nervous System Neoplasms Pathology Glioma Diagnosis Glioma Pathology Lymphoma Diagnosis Lymphoma Pathology Tomography, X-Ray Computed Methods Adult Aged Biopsy Brain Pathology Cerebrovascular Circulation Diagnosis, Differential Female Male Middle Age Perfusion Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Introduction: Perfusion 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.Methods: PCT 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.Results: In 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). pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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