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Combined proton MR spectroscopy and dynamic contrast enhanced MR imaging of human intracranial tumours in vivo
Author(s) -
Manton David J.,
Lowry Martin,
RowlandHill Christopher,
Crooks Daniel,
Mathew Bruce,
Turnbull Lindsay W.
Publication year - 2000
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.675
Subject(s) - in vivo magnetic resonance spectroscopy , magnetic resonance imaging , in vivo , dynamic contrast enhanced mri , vascular permeability , nuclear magnetic resonance , nuclear medicine , gadolinium , voxel , chemistry , medicine , pathology , radiology , biology , physics , microbiology and biotechnology , organic chemistry
Abstract A study was undertaken to determine if the vascular characteristics measured by dynamic contrast‐enhanced magnetic resonance imaging (primarily permeability surface area product and extracellular–extravascular tissue volume fraction) would be beneficial in explaining the inter‐lesion metabolic heterogeneity displayed by human intracranial tumours. Magnetic resonance spectroscopy was carried out using a single‐voxel STEAM sequence and dynamic imaging was carried out using a combination of pre‐contrast proton density‐weighted FSPGR images (to remove the influence of native tissue T 1 ), bolus injection of Gd‐DTPA and subsequent T 1 ‐weighted FSPGR dynamic imaging. A two‐compartment pharmacokinetic model was employed to determine vascular characteristics. Results obtained from 12 meningiomas suggest a possible correlation between the level of lipids/macromolecules and permeability surface area product, although the confounding issue of extra‐voxel contamination arising from lipids in the scalp and skull marrow cannot be ruled out in the more superficial lesions. Results obtained from 11 gliomas (four low and seven high grade) demonstrate that permeability surface area product is not specific for the range of vascular characteristics and metabolite profiles observed in gliomas and is therefore unable to explain metabolic heterogeneity in these lesions. Copyright © 2000 John Wiley & Sons, Ltd. Abbreviations used: A amplitude (initial slope)arb. arbitraryEF enhancement factorER exchange rateNLLS non‐linear least‐squaresMEF maximum enhancement factorPS permeability surface area productV D distribution volume (extracellular–extravascular tissue space)WO wash‐out.

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