American Journal of Neuroradiology · 2020 · 29 citations · 23 references
MedicineNeurologyRadiologyDiagnostic ImagingDiagnostic RadiologyNeuroradiologyBrain ImagingImage Quality AssessmentImaging AssessmentMagnetic Resonance Image ReconstructionMagnetic Resonance ImagingMedical ImagingHigh-resolution Magnetic Resonance ImagingImage Acquisition QualityImage Quality BenchmarkingImaging Time OptimizationMcnemar's TestT1 ContrastT1-weighted ImagingWilcoxon Signed-rank Test
BACKGROUND AND PURPOSE: The long scan time of MR imaging is a major drawback limiting its clinical use in neuroimaging; therefore, we aimed to investigate the clinical feasibility of a 1-minute full-brain MR imaging using a multicontrast EPI sequence on a different MR imaging scanner than the ones previously reported. MATERIALS AND METHODS: We retrospectively reviewed the records of 146 patients who underwent a multicontrast EPI sequence, including T1-FLAIR, T2-FLAIR, T2WI, DWI, and T2*WI sequences. Two attending neuroradiologists assessed the image quality of each sequence to compare the multicontrast EPI sequence with routine MR imaging protocols. We used the Wilcoxon signed rank test and McNemar test to compare the 2 MR imaging protocols. RESULTS: > .05), attesting to noninferiority of the multicontrast EPI, whereas there were significant differences in the other 4 sequences between the 2 MR imaging protocols. CONCLUSIONS: The multicontrast EPI sequence showed sufficient image quality for clinical use with a shorter scan time; however, it was limited by inferior image quality and frequent susceptibility artifacts compared with routine brain MR imaging. Therefore, the multicontrast EPI sequence cannot completely replace the routine MR imaging protocol at present; however, it may be a feasible option in specific clinical situations such as screening, time-critical diseases or for use with patients prone to motion.
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A technique for measurement of attitudes
Rensis Likert · Medical Entomology and Zoology · 1932 · 8.2K citations
Understanding interobserver agreement: the kappa statistic.
Anthony J. Viera, Joanne M. Garrett · PubMed · 2005 · 7.1K citations
Lawrence Tanenbaum, Apostolos John Tsiouris, Angela N. Johnson et al. · American Journal of Neuroradiology · 2017 · 288 citations · Full text