Artificial multiple sclerosis lesions on simulated FLAIR brain MR images: echo time and observer performance in detection.
Publication/Presentation Date
4-1-2006
Abstract
The institutional review board approved the described HIPAA-compliant study, which was performed to prospectively evaluate observer performance in the detection of artificial multiple sclerosis (MS) lesions that were randomly distributed supra- and infratentorially on simulated fluid-attenuated inversion-recovery (FLAIR) magnetic resonance (MR) images obtained at different echo times (TEs). MR parametric maps were derived from mixed multi-echo inversion-recovery images obtained in a 40-year-old healthy male volunteer and in a patient with MS, both of whom gave informed consent. Pseudo-randomly distributed artificial MS lesions of varying size, number, and location were equally represented on the FLAIR images (11 000/100-200/2600 [repetition time msec/TE msec/inversion time msec]). Twelve images obtained in both regions at each of 11 TEs spaced 10 msec apart were rated by seven neuroradiologists by using a four-point scale. Observer performance in the detection of MS lesions on the FLAIR images, as estimated by using areas under the alternative free-response receiver operating characteristic curve, was highest and most consistent at the 100-msec TE, both supratentorially (93.0% +/- 8.6 [standard error of the mean]) and infratentorially (87.4% +/- 10.0).
Volume
239
Issue
1
First Page
238
Last Page
245
ISSN
0033-8419
Published In/Presented At
Pikus, L., Woo, J. H., Wolf, R. L., Herskovits, E. H., Moonis, G., Jawad, A. F., Krejza, J., & Melhem, E. R. (2006). Artificial multiple sclerosis lesions on simulated FLAIR brain MR images: echo time and observer performance in detection. Radiology, 239(1), 238–245. https://doi.org/10.1148/radiol.2383050211
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
16507750
Department(s)
Administration and Leadership
Document Type
Article