Purpose: The aim of this study was to assess whether lesion heterogeneity t
hrough pixel-by-pixel analysis of contrast-enhanced MR parameter maps would
improve breast lesion differentiation.
Method: Forty-nine female patients with primary tumors of the breast were i
maged using contrast-enhanced MRI. The rate of transfer of contrast medium
between the lesion and plasma was calculated via compartmental modeling ove
r semiautomatically delineated regions of interest. The distributions of tr
ansfer rate values were subdivided into 10 segments for each lesion. The ra
te of change of the statistical moments of the transfer rate measured over
the 10 segments allowed a quantitative measure of heterogeneity.
Results: In this patient group of 25 malignant and 25 benign lesions, impro
ved differentiation was achieved by using a measure of lesion heterogeneity
. The sensitivity and specificity obtained were 88 and 88%. respectively, c
ompared with 84 and 76% when using the mean value of the transfer rate coef
ficient.
Conclusion: Pixel-by-pixel analysis of contrast medium transfer rate maps a
llows the examination of lesion heterogeneity and offers improved lesion di
fferentiation. The new method used to quantify lesion heterogeneity relies
on the manner in which the exchange rate parameter varies when calculated o
ver different segments of the distribution.