Skip to main content

Potential Role of CT Perfusion Parameters in the Identification of Solitary Intra-axial Brain Tumor Grading

  • Conference paper
  • First Online:
Book cover Brain Edema XIV

Abstract

In this study, neoplastic perfusion abnormalities were investigated by computed tomography perfusion (CTP) scanning in 38 patients with solitary intra-axial brain tumors (19 with high grade gliomas, 7 with low grade gliomas and 12 with brain metastasis). Regional cerebral blood flow (rCBF), cerebral blood volume (rCBV), mean transit time (rMTT) and permeability surface flow (rPSF) levels were measured in two different regions of interest: (1) enhancing or non-enhancing tumor tissue and (2) a mirror area of apparently normal brain tissue located in the contralateral hemisphere. rCBF mean levels were greater in tumoral tissue than in the contralateral area for high-grade gliomas (p < 0.02). rCBV and rPSF mean values were higher in tumoral tissue than in the contralateral area for high-grade gliomas (p < 0.01 and p < 0.05, respectively) and metastasis (p < 0.05 and p < 0.001, respectively). rCBV mean values of tumoral tissue were greater in high-grade than in low-grade gliomas (p < 0.05). rPSF mean levels of tumoral tissue were higher in metastasis than in low-grade gliomas (p < 0.02). These findings indicate that multi-parametric CTP mapping may contribute to differential diagnosis of solitary intra-axial brain tumors.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Cenic A, Nabavi DG, Craen RA, Gelb AW, Lee T-Y (2000) A CT method to measure hemodynamics in brain tumors: validation and application of cerebral blood flow maps. AJNR Am J Neuroradiol 21:462–470

    PubMed  CAS  Google Scholar 

  2. Cha S (2006) Update on brain tumor imaging: from anatomy to physiology. AJNR Am J Neuroradiol 27:475–487

    PubMed  CAS  Google Scholar 

  3. Ding B, Ling HW, Chen KM, Jiang H, Zhu YB (2006) Comparison of cerebral blood volume and permeability in preoperative grading of intracranial glioma using CT perfusion imaging. Neuroradiology 48:773–781

    Article  PubMed  Google Scholar 

  4. Eastwood JD, Provenzale JM (2003) Cerebral blood flow, blood volume, and vascular permeability of cerebral glioma assessed with dynamic CT perfusion imaging. Neuroradiology 45:373–376

    Article  PubMed  CAS  Google Scholar 

  5. Ellika SK, Jain R, Patel SC, Scarpace L, Schultz LR, Rock JP, Mikkelsen T (2007) Role of perfusion CT in glioma grading and comparison with conventional MR imaging features. AJNR Am J Neuroradiol 28:1981–1987

    Article  PubMed  CAS  Google Scholar 

  6. Jain R, Scarpace L, Ellika S, Schultz LR, Rock JP, Rosenblum ML, Patel SC, Lee TY, Mikkelsen T (2007) First-pass perfusion computed tomography: initial experience in differentiating recurrent brain tumors from radiation effects and radiation necrosis. Neurosurgery 61:778–786

    Article  PubMed  Google Scholar 

  7. Lee R, Cheung RTF, Hung KN, Au-Yeung KM, Leong LLY, Chan FL, Lee TY (2004) Use of CT perfusion to differentiate between brain tumor and cerebral infarction. Cerebrovasc Dis 18:77–83

    Article  PubMed  Google Scholar 

  8. Mor V, Laliberte L, Morris JN, Wiemann N (1984) Karnofsky performance status scale. An examination of its reliability and validity in a research setting. Cancer 53:2002–2007

    Article  PubMed  CAS  Google Scholar 

  9. Provenzale JM, Mukundan S, Barboriak DP (2006) Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response. Radiology 239:632–649

    Article  PubMed  Google Scholar 

  10. Roberts HC, Roberts TPL, Lee T-Y, Dillon WP (2002) Dynamic, constrast-enhanced CT of human brain tumors: quantitative assessment of blood volume, blood flow, and microvascular permeability: report of two cases. AJNR Am J Neuroradiol 23:828–832

    PubMed  Google Scholar 

  11. Wintermark M, Essay M, Barber E, Bodily K, Dillon WP, Eastwood JD, Glenn CT, Gradin CB, Pederast S, Susie JF, Maria T, Anarchic G, Camille JM, Doused V, Yonas H (2005) Comparative overview of brain perfusion imaging techniques. Stroke 36:e83–e99

    Article  PubMed  Google Scholar 

  12. Young RJ, Knopp EA (2006) Brain MRI: tumor evaluation. J Magn Reson Imaging 24:709–724

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Enrico Fainardi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag/Wien

About this paper

Cite this paper

Fainardi, E. et al. (2010). Potential Role of CT Perfusion Parameters in the Identification of Solitary Intra-axial Brain Tumor Grading. In: Czernicki, Z., Baethmann, A., Ito, U., Katayama, Y., Kuroiwa, T., Mendelow, D. (eds) Brain Edema XIV. Acta Neurochirurgica Supplementum, vol 106. Springer, Vienna. https://doi.org/10.1007/978-3-211-98811-4_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-211-98811-4_53

  • Published:

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-98758-2

  • Online ISBN: 978-3-211-98811-4

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics