Background: Identifying tissue at risk for infarction is important in decid
ing which patients would benefit most from potentially harmful therapies an
d provides a way to evaluate newer therapies with regard to the amount of i
schemic tissue salvaged. Objective: To operationally define and characteriz
e cerebral tissue at risk for stroke progression. Methods: We retrospective
ly selected 25 patients with an acute onset of a hemispheric stroke from ou
r database who had undergone a combination of two diffusion-weighted MRI st
udies and a perfusion-weighted MRI study. We applied a logistic regression
model using maps of the relative mean transit time and relative cerebral bl
ood flow (rCBF) as well as three different maps of the relative cerebral bl
ood volume (rCBV) to predict an operationally defined penumbra (region of m
ismatch between the diffusion lesion on day 1 and its extension 24 to 72 ho
urs later). Results: Maps of the rCBF and initial rCBV were significant pre
dictors for identifying penumbral tissue. Our operationally defined penumbr
al region was characterized by a reduction in the initial rCBV (47% of cont
ralateral control region [CCR]), an increase (163% of CCR) in the total rCB
V, and a reduction (37% of CCR) in the rCBF, whereas the operationally defi
ned ischemic core showed a more severe reduction in the rCBF (12% of CCR) a
nd in the initial rCBV (19% of CCR). Conclusion: These MR indexes may allow
the identification and quantification of viable but ischemically threatene
d cerebral tissue amenable to therapeutic interventions in the hyperacute c
are of stroke patients.