Measurement of brain perfusion, blood volume, and blood-brain barrier permeability, using dynamic contrast-enhanced T(1)-weighted MRI at 3 tesla.
Assessment of vascular properties is essential to diagnosis and follow-up and basic understanding of pathogenesis in brain tumors. In this study, a procedure is presented that allows concurrent estimation of cerebral perfusion, blood volume, and blood-brain permeability from dynamic T(1)-weighted imaging of a bolus of a paramagnetic contrast agent passing through the brain. The methods are applied in patients with brain tumors and in healthy subjects. Perfusion was estimated by model-free deconvolution using Tikhonov's method (gray matter/white matter/tumor: 72 +/- 16/30 +/- 8/56 +/- 45 mL/100 g/min); blood volume (6 +/- 2/4 +/- 1/7 +/- 6 mL/100 g) and permeability (0.9 +/- 0.4/0.8 +/- 0.3/3 +/- 5 mL/100 g/min) were estimated by using Patlak's method and a two-compartment model. A corroboration of these results was achieved by using model simulation. In addition, it was possible to generate maps on a pixel-by-pixel basis of cerebral perfusion, cerebral blood volume, and blood-brain barrier permeability.
Larsson
Henrik B W
HB
Functional Imaging Unit, Glostrup Hospital, University of Copenhagen, Copenhagen, Denmark. henlar02@glo.regionh.dk
Courivaud
Frédéric
F
Rostrup
Egill
E
Hansen
Adam E
AE
D000328:Adult; D000465:Algorithms; D001810:Blood Volume; D001812:Blood-Brain Barrier / Q000473:pathology / Q000503:physiopathology*; D001921:Brain / Q000098:blood supply / Q000473:pathology / Q000503:physiopathology*; D001932:Brain Neoplasms / Q000473:pathology / Q000503:physiopathology*; D002560:Cerebrovascular Circulation; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D055420:Perfusion Imaging / Q000379:methods*; D010539:Permeability