Ba. Pickut et al., DISCRIMINATIVE USE OF SPECT IN FRONTAL LOBE-TYPE DEMENTIA VERSUS (SENILE) DEMENTIA OF THE ALZHEIMERS TYPE, The Journal of nuclear medicine, 38(6), 1997, pp. 929-934
Dementia of the Alzheimer's type [(S)DAT] and dementia with frontal fe
atures (FLD) are nosological entities with different prognoses and pre
sumed pathophysiology. There is a need for noninvasive differential di
agnostic tools. To evaluate whether SPECT perfusion imaging could disc
riminate between these neurodegenerative disorders, we performed a com
parative study. Methods: SPECT scans using Tc-99m-hexamethylpropylene
amine oxime (Tc-99m-HMPAO) of 21 patients with FLD were compared with
those obtained in a group of 19 age- and severity-matched patients suf
fering from (S)DAT. Brain SPECT perfusion deficits were scored by visu
al qualitative analysis with respect to location, lateralization and s
everity. A total severity score of cerebral hypoperfusion (maximal val
ue = 18) was calculated by adding all severity scores (scored between
0 and 3; 0 = no perfusion deficit; 1 = 13%-30% hypoperfusion; 2 = 30%-
50% hypoperfusion and 3 = >50% hypoperfusion including breaching of th
e cortex) for right and left frontal, parietal and temporal lobes. Mor
eover, bifrontal hypoperfusion (F-s) was scored, yielding a value betw
een 0 and 6 by adding the two frontal severity scores. Results: No sig
nificant correlation was found between MMSE scores and total severity
scores on SPECT. A statistically significant correlation was found bet
ween the Middelheim frontality score and frontal severity score. Stati
stically more significant bilateral hypoperfusion of the parietal lobe
s was found in the (S)DAT group. Conversely, bifrontal hypoperfusion w
as found more in the FLD group. Stepwise logistic regression analysis
identified the severity of bifrontal hypoperfusion as the most signifi
cant contributing parameter to correctly classifying (S)DAT versus FLD
on SPECT. The probability of predicting (S)DAT based on the SPECT sca
n is calculated with the following formula: p(DAT) = 1/[1 + e(-(1.1-0.
661xFs))]. Using this equation, a value above 0.5 was predictive for (
S)DAT and a calculated value under 0.5 was predictive for FLD. Using t
his model, 81% of the FLD group and 74% of the (S)DAT were correctly c
lassified. Conclusion: Technetium-99m-HMPAO SPECT may help in discrimi
nating FLD from (S)DAT. Bifrontal hypoperfusion was found to be the mo
st powerful predictor of clinical classification. Further validation o
f the presented logistic regression model is warranted.