Dynamic CT perfusion imaging of intra-axial brain tumours: differentiation of high-grade gliomas from primary CNS lymphomas
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.
Gespeichert in:
| Hauptverfasser: | , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
22 May 2010
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| In: |
European radiology
Year: 2010, Jahrgang: 20, Heft: 10, Pages: 2482-2490 |
| ISSN: | 1432-1084 |
| DOI: | 10.1007/s00330-010-1817-4 |
| Online-Zugang: | Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1007/s00330-010-1817-4 Verlag, lizenzpflichtig, Volltext: https://link.springer.com/article/10.1007/s00330-010-1817-4 |
| Verfasserangaben: | Peter Schramm, Argyro Xyda, Ernst Klotz, Volker Tronnier, Michael Knauth, Marius Hartmann |
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| 520 | |a 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. | ||
| 650 | 4 | |a Brain tumours | |
| 650 | 4 | |a Computed tomography | |
| 650 | 4 | |a Gliomas | |
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| 650 | 4 | |a Perfusion | |
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