Is all perfusion-weighted magnetic resonance imaging for stroke equal? Thetemporal evolution of multiple hemodynamic parameters after focal ischemiain rats correlated with evidence of infarction
G. Zaharchuk et al., Is all perfusion-weighted magnetic resonance imaging for stroke equal? Thetemporal evolution of multiple hemodynamic parameters after focal ischemiain rats correlated with evidence of infarction, J CEREBR B, 20(9), 2000, pp. 1341-1351
Although perfusion-weighted imaging techniques are increasingly used to stu
dy stroke, no particular hemodynamic variable has emerged as a standard mar
ker for accumulated ischemic damage. To better characterize the hemodynamic
signature of infarction, the authors have assessed the severity and tempor
al evolution of ischemic hemodynamics in a middle cerebral artery occlusion
model in the rat. Cerebral blood flow (CBF) and total and microvascular ce
rebral blood volume (CBV) changes were measured with arterial spin labeling
and steady-state susceptibility contrast magnetic resonance imaging (MRI),
respectively, and analyzed in regions corresponding to infarcted and spare
d ipsilateral tissue, based on 2,3,5-triphenyltetrazolium chloride histolog
y sections after 24 hours ischemia. Spin echo susceptibility contrast was u
sed to measure microvascular-weighted CBV, which had a maximum sensitivity
for vessels with radii between 4 and 30 mu m. Serial measurements between 1
and 3 hours after occlusion showed no change in CBF (22 +/- 20% of contral
ateral, mean +/- SD) or in total CBV (78 +/- 13% of contralateral) in regio
ns destined to infarct. However, microvascular CBV progressively declined f
rom 72 +/- 5% to 64 +/- 11% (P < 0.01) during this same period. Microvascul
ar CBV changes with time were entirely due to decreases in subcortical infa
rcted zones (from 73 +/- 9% to 57+/-14%, P < 0.001) without changes in the
cortical infarcted territory. The hemodynamic variables showed differences
in magnitude and temporal response, and these changes varied based on histo
logic outcome and brain architecture. Such factors should be considered whe
n designing imaging studies for human stroke.