Artificial Multiple Sclerosis Lesions on Simulated FLAIR Brain MR Images: Echo Time and Observer Performance in Detection
| Autor: | Edward H. Herskovits, Elias R. Melhem, Lana Pikus, John H. Woo, Jaroslaw Krejza, Abbas F. Jawad, Ronald L. Wolf, Gul Moonis |
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| Rok vydání: | 2006 |
| Předmět: |
Adult
Multiple Sclerosis Time Factors medicine.diagnostic_test business.industry Multiple sclerosis Echo time Inversion Time Magnetic resonance imaging Fluid-attenuated inversion recovery medicine.disease Magnetic Resonance Imaging Repetition Time Observer performance medicine Humans Computer Simulation Female Radiology Nuclear Medicine and imaging Prospective Studies Mr images Nuclear medicine business |
| Zdroj: | Radiology. 239:238-245 |
| ISSN: | 1527-1315 0033-8419 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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