Perfusion MRI of infarcted and noninfarcted brain tissue in stroke - A comparison of conventional hemodynamic imaging and factor analysis of dynamic studies
Al. Martel et al., Perfusion MRI of infarcted and noninfarcted brain tissue in stroke - A comparison of conventional hemodynamic imaging and factor analysis of dynamic studies, INV RADIOL, 36(7), 2001, pp. 378-385
Citations number
30
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Medical Research Diagnosis & Treatment
RATIONALE AND OBJECTIVES. TO investigate the hemodynamics of infarcted and
noninfarcted regions of the brain in patients with stroke secondary to a co
mplete middle cerebral artery occlusion, Also, to compare factor analysis,
a novel method of analyzing perfusion-weighted images, with more convention
al techniques,
METHODS. Twenty-two patients with complete unilateral occlusion of the midd
le cerebral artery were examined by T1-weighted, contrast-enhanced, perfusi
on-weighted imaging, diffusion- weighted imaging, and magnetic resonance an
giography, Quantitative cerebral blood volume (CBV), cerebral blood flow (C
BF), and time-to-peak-intensity (TTP) images were generated. Factor analysi
s of dynamic studies (FADS) was used to generate "early" and "late" images.
The hemodynamic parameters for the infarcted and noninfarcted regions of t
he occluded territory were compared with those for the brain territory on t
he nonoccluded side.
RESULTS. Three regions were shown: (1) Normal tissue on the unaffected side
; (2) an infarcted region, which was characterized by reduced CBV, CBF, and
early FADS values with increased TTP values; and (3) a noninfarcted region
with reduced early FADS and increased late FADS and TTP values compared wi
th the normal region, Cerebral blood volume and CBF values were not reduced
significantly in the noninfarcted region.
CONCLUSIONS. The differences in parameters such as TTP, CBV, and CBF are si
gnificant, and it is necessary to use more than one parameter when interpre
ting magnetic resonance imaging perfusion data. Factor analysis of dynamic
studies provides additional information to conventional methods of analyzin
g perfusion data.