Accuracy for detection of simulated lesions: Comparison of fluid-attenuated inversion-recovery, proton density-weighted, and T2-weighted synthetic brain MR imaging

被引:35
作者
Herskovits, EH
Itoh, R
Melhem, ER
机构
[1] Johns Hopkins Hosp, Dept Radiol, Baltimore, MD 21287 USA
[2] Johns Hopkins Med Inst, Div Neuroradiol, Baltimore, MD 21287 USA
[3] Johns Hopkins Sch Publ Hlth, Dept Biostat, Baltimore, MD 21287 USA
[4] Kennedy Krieger Inst, MR Percept Lab, Baltimore, MD 21287 USA
关键词
D O I
10.2214/ajr.176.5.1761313
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
OBJECTIVE. The objective of our study was to determine the effects of MR sequence (fluid-attenuated inversion-recovery [FLAIR], proton density-weighted, and T2-weighted) and of lesion location an sensitivity and specificity of lesion detection. MATERIALS AND METHODS. We generated FLAIR, proton density-weighted, and T2-weighted brain images with 3-mm lesions using published parameters for acute multiple sclerosis plaques. Each image contained from zero to five lesions that were distributed among cortical-subcortical, periventricular, and deep white matter regions; on either side; and anterior or posterior in position. We presented images of 540 lesions, distributed among 2592 image regions, 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 sequence; the side, position, and region of the lesion; and the reviewer's response (lesion present or absent [normal]). We performed chi-square and log-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 contained an additional sequence-location interaction. The true-negative rate model 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 of a wide range of pulse sequences and that allows us to spetify the location, size, shape, and intrinsic characteristics of simulated lesions. We found 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.
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收藏
页码:1313 / 1318
页数:6
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