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Neuroradiology

, Volume 45, Issue 6, pp 373–376 | Cite as

Cerebral blood flow, blood volume, and vascular permeability of cerebral glioma assessed with dynamic CT perfusion imaging

  • J. D. EastwoodEmail author
  • J. M. Provenzale
Diagnostic Neuroradiology

Abstract

We report dynamic CT perfusion imaging assessment of hemodynamics in a patient with a high-grade cerebral glioma and compare our results to those of previously published studies.

Keywords

Cerebral glioma Haemodynamics Dynamic computed tomography 

References

  1. 1.
    Roberts HC, Roberts TPL, Brasch RC, Dillon WP (2000) Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade. AJNR 21: 891–899Google Scholar
  2. 2.
    Aronen HJ, Gazit IE, Louis DN et al (1994) Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. Radiology 91: 41–51Google Scholar
  3. 3.
    Roberts HC, Roberts TP, Bollen AW, Ley S, Brasch RC, Dillon WP (2001) Correlation of microvascular permeability derived from dynamic contrast-enhanced MR imaging with histologic grade and tumor labeling index: a study in human brain tumors. Acad Radiol 8: 384–391PubMedGoogle Scholar
  4. 4.
    Sugahara T, Korogi Y, Tomiguchi S et al (2000) Posttherapeutic intraaxial brain tumor: the value of perfusion-sensitive contrast-enhanced MR imaging for differentiating tumor recurrence from nonneoplastic contrast-enhancing tissue. AJNR 21: 901–909Google Scholar
  5. 5.
    Cenic A, Nabavi DG, Craen RA, Gelb AW, Lee TY (2000) A CT method to measure hemodynamics in brain tumors: validation and application of cerebral blood flow maps. AJNR 21: 462–470Google Scholar
  6. 6.
    Nabavi DG, Cenic A, Craen RA et al (1999) CT assessment of cerebral perfusion: experimental validation and initial clinical experience. Radiology 213: 141–149PubMedGoogle Scholar
  7. 7.
    Eastwood JD, Lev MH, Azhari T et al (2002) CT perfusion scanning with deconvolution analysis: pilot study in patients with acute middle cerebral artery stroke. Radiology 227–236Google Scholar
  8. 8.
    Cenic A, Nabavi DG, Craen RA, Gelb AW, Lee TY (1999) Dynamic CT measurement of cerebral blood flow: a validation study. AJNR 20: 63–73Google Scholar
  9. 9.
    Wintermark M, Thiran JP, Maeder P, Schnyder P, Meuli R (2001) Simultaneous measurement of regional cerebral blood flow by perfusion CT and stable xenon CT: a validation study. AJNR 22: 905–914Google Scholar
  10. 10.
    Leenstra S, Troost D, Hulsebos TJ, Bosch DA (1994) Genetic versus histological grading in stereotactic biopsies. Stereotact Funct Neurosurg 63: 56–62PubMedGoogle Scholar
  11. 11.
    Koenig M, Kraus M, Theek C, Klotz E, Gehlen W, Heuser L (2001) Quantitative assessment of the ischemic brain by means of perfusion-related parameters derived from perfusion CT. Stroke 32: 431–437PubMedGoogle Scholar
  12. 12.
    Reichenbach JR, Rother J, Jonetz-Mentzel L, et al (1999) Acute stroke evaluated by time-to-peak mapping during initial and early follow-up perfusion CT studies. AJNR 20: 1842–1850Google Scholar
  13. 13.
    Roberts HC, Roberts TPL, Lee TY, Dillon WP (2002) Dynamic, contrast-enhanced CT of human brain tumors: quantitative assessment of blood volume, blood flow, and microvascular permeability: report of 2 cases. AJNR 23: 828–832Google Scholar

Copyright information

© Springer-Verlag 2003

Authors and Affiliations

  1. 1.Division of Neuroradiology, Department of RadiologyDuke University Medical CenterDurhamUSA

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