Abstract
Because of its high soft-tissue contrast, MRI is the method of choice for the assessment of brain tumors. Conventional MRI sequences provide excellent visualization of the lesions, but still have limitations for the accurate definition of lesion boundaries and for differentiating some treatment related changes and tumor recurrence. MRI techniques such as diffusion-weighted imaging, perfusion-weighted imaging and MR spectroscopy have the potential to provide powerful additional information. Thus, hybrid PET/MRI might represent the modality of choice to investigate, in a single imaging session, tracer uptake and perfusion metabolic changes shown by MRI in the neoplastic tissue.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Further Reading
Boss A, Bisdas S, Kolb A et al (2010) Hybrid PET/MRI of intracranial masses: initial experiences and comparison to PET/CT. J Nucl Med 51:1198–1205
Catana C, Drzezga A, Heiss WD, Rosen BR (2012) PET/MRI for neurologic applications. J Nucl Med 53:1916–1925
Garibotto V, Forster S, Haller S, Vargas MI, Drzezga A (2013) Molecular neuroimaging with PET/MRI. Clinical and Translational Imaging 1:53–63
Garibotto V, Heinzer S, Vulliemoz S et al (2013) Clinical applications of hybrid PET/MRI in neuroimaging. Clin Nucl Med 38:e13–e18
Herzog H, Langen KJ, Weirich C et al (2011) High resolution brainPET combined with simultaneous MRI. Nuklearmedizin 50:74–82
Khayal IS, McKnight TR, McGue C et al (2009) Apparent diffusion coefficient and fractional anisotropy of newly diagnosed grade II gliomas. NMR Biomed 22:449–455
Neuner I, Kaffanke JB, Langen KJ et al (2012) Multimodal imaging utilising integrated MR-PET for human brain tumour assessment. Eur Radiol 22(12):2568–2580
Noguchi T, Yoshiura T, Hiwatashi A et al (2008) Perfusion imaging of brain tumors using arterial spin-labeling: correlation with histopathologic vascular density. AJNR Am J Neuroradiol 29:688–693
Popperl G, Gotz C, Rachinger W et al (2004) Value of O-(2-[18F]fluoroethyl)-L-tyrosine PET for the diagnosis of recurrent glioma. Eur J Nucl Med Mol Imaging 31:1464–1470
Schwenzer NF, Stegger L, Bisdas S et al (2012) Simultaneous PET/MR imaging in a human brain PET/MR system in 50 patients-Current state of image quality. Eur J Radiol 81(11):3472–3478
Terakawa Y, Tsuyuguchi N, Iwai Y et al (2008) Diagnostic accuracy of 11C-methionine PET for differentiation of recurrent brain tumors from radiation necrosis after radiotherapy. J Nucl Med 49:694–699
Thorwarth D, Henke G, Muller AC et al (2011) Simultaneous 68Ga-DOTATOC-PET/MRI for IMRT treatment planning for meningioma: first experience. Int J Radiat Oncol Biol Phys 81:277–283
Vander Borght T, Asenbaum S, Bartenstein P et al (2006) EANM procedure guidelines for brain tumour imaging using labelled amino acid analogues. Eur J Nucl Med Mol Imaging 33:1374–1380
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Garibotto, V. et al. (2013). Brain Tumors. In: Ratib, O., Schwaiger, M., Beyer, T. (eds) Atlas of PET/MR Imaging in Oncology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31292-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-31292-2_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31291-5
Online ISBN: 978-3-642-31292-2
eBook Packages: MedicineMedicine (R0)