Accuracy for detection of simulated lesions: Comparison of fluid-attenuated inversion-recovery, proton density-weighted, and T2-weighted synthetic brain MR imaging
Eh. Herskovits et al., Accuracy for detection of simulated lesions: Comparison of fluid-attenuated inversion-recovery, proton density-weighted, and T2-weighted synthetic brain MR imaging, AM J ROENTG, 176(5), 2001, pp. 1313-1318
Citations number
27
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Medical Research Diagnosis & Treatment
OBJECTIVE. The objective of our study was to determine the effects of MR se
quence (fluid-attenuated inversion-recovery [FLAIR], proton density-weighte
d, and T2-weighted) and of lesion location an sensitivity and specificity o
f lesion detection.
MATERIALS AND METHODS. We generated FLAIR, proton density-weighted, and T2-
weighted brain images with 3-mm lesions using published parameters for acut
e multiple sclerosis plaques. Each image contained from zero to five lesion
s that were distributed among cortical-subcortical, periventricular, and de
ep white matter regions; on either side; and anterior or posterior in posit
ion. We presented images of 540 lesions, distributed among 2592 image regio
ns, to six neuroradiologists. We constructed a contingency table for image
regions with lesions rind another for image regions without lesions (normal
). Each table included the following: the reviewer's number (1-6); the MR s
equence; the side, position, and region of the lesion; and the reviewer's r
esponse (lesion present or absent [normal]). We performed chi-square and lo
g-linear analyses.
RESULTS. The FLAIR sequence yielded the highest true-positive rates (p < 0.
001) and the highest true-negative rates (p < 0.001). Regions also differed
in reviewers' true-positive rates (p < 0.001) and true-negative rates (p =
0.002). The true-positive rate model generated by log-lineal analysis cont
ained an additional sequence-location interaction. The true-negative rate m
odel generated by log-linear analysis confirmed these associations, but no
higher order interactions were added.
CONCLUSION. We developed software with which we can generate brain images o
f a wide range of pulse sequences and that allows us to spetify the locatio
n, size, shape, and intrinsic characteristics of simulated lesions. We foun
d that the use of FLAIR sequences increases detection accuracy for cortical
-subcortical and periventricular lesions; over that associated with proton
density- and T2-weighted sequences.