OBJECTIVE: Quantitative studies of cerebral blood flow (CBF) combined
with a vasodilatory challenge have defined a subgroup of patients with
symptomatic carotid occlusion who have an increased risk for stroke.
These are patients whose CBF paradoxically decreases in response to a
vasodilatory challenge. Recent reports suggest that qualitative CBF te
chniques, such as single photon emission tomography with 99m-hexamethy
lpropyleneamine oxime, can also define the same high-risk subgroup. To
determine whether qualitative measures of CBF are sufficient for pred
icting the risk of stroke, we converted our quantitative CBF data, obt
ained with xenon-enhanced computed tomography (Xe/CT), to qualitative
ratios in a manner similar to that used with single photon emission to
mography data. METHODS: We analyzed CBF values within the territory of
the middle cerebral artery for 94 patients with symptomatic carotid o
cclusion. Values obtained using Xe/CT before and after the intravenous
administration of 1 g of acetazolamide were used to derive an asymmet
ry index: (C-occl - C-non)/C-avg x 100. The difference between the pos
tacetazolamide asymmetry index and the baseline asymmetry index was us
ed to classify the patients into groups according to CBF values. The t
hreshold for abnormal qualitative CBF reactivity was defined as a perc
ent change in the asymmetry index of less than -10%. Quantitative (Xe/
CT) CBF was considered abnormal (''steal'' response) when the response
to acetazolamide (percent change) on the occluded side was a decrease
of 5% or greater. RESULTS: Of 34 patients whose cerebrovascular reser
ves were considered compromised based on qualitative criteria, 17 (50%
) did not have a steal response as defined by quantitative Xe/CT CBF (
i.e., false positive). Eleven of 62 (18%) who were not considered comp
romised by qualitative criteria had a steal response (i.e., false nega
tive). Our data indicate that a qualitative approach has a 61% sensiti
vity and a 75% specificity for detecting patients with compromised res
erves. Further, the positive predictive value of this method is only 5
0%. Therefore, the two methodologies do not predict the same patients
as having compromised reserves. CONCLUSION: Previous studies have show
n that patients at high risk for stroke can be identified with quantit
ative CBF methods. This study shows that the important subgroup cannot
be accurately defined with qualitative methodology. The implications
of using the more reliable methodology are important for individual pa
tient management and for designing clinical trials.