Clinical 3-tesla FLAIR* MRI improves diagnostic accuracy in multiple sclerosis

Author:

George Ilena C1,Sati Pascal2,Absinta Martina3,Cortese Irene CM2,Sweeney Elizabeth M4,Shea Colin D2,Reich Daniel S5

Affiliation:

1. Division of Neuroimmunology and Neurovirology, NINDS, National Institutes of Health (NIH), Bethesda, MD, USA/Yale University, New Haven, CT, USA

2. Division of Neuroimmunology and Neurovirology, NINDS, National Institutes of Health (NIH), Bethesda, MD, USA

3. Division of Neuroimmunology and Neurovirology, NINDS, National Institutes of Health (NIH), Bethesda, MD, USA/ Raffaele Scientific Institute, Milan, Italy

4. Division of Neuroimmunology and Neurovirology, NINDS, National Institutes of Health (NIH), Bethesda, MD, USA/ Johns Hopkins School of Public Health, Baltimore, MD, USA

5. Translational Neuroradiology Unit, Division of Neuroimmunology and Neurovirology, NINDS, National Institutes of Health (NIH), Bethesda, MD, USA/Johns Hopkins School of Public Health, Baltimore, MD, USA

Abstract

Objective: To evaluate clinical fluid-attenuated inversion recovery (FLAIR)* 3T magnetic resonance imaging (MRI), which is sensitive to perivenular inflammatory demyelinating lesions, in diagnosing multiple sclerosis (MS). Background: Central veins may be a distinguishing feature of MS lesions. FLAIR*, a combined contrast derived from clinical MRI scans, has not been studied as a clinical tool for diagnosing MS. Methods: Two experienced MS neurologists evaluated 87 scan pairs (T2-FLAIR/FLAIR*), separately and side-by-side, from 68 MS cases, 8 healthy volunteers, and 11 individuals with other neurological diseases. Raters judged cases based on experience, published criteria, and a visual assessment of the “40% rule,” whereby MS is favored if >40% of lesions demonstrate a central vein. Diagnostic accuracy was determined with area under the receiver operating characteristic curve (AUC), and inter-rater reliability was assessed with Cohen’s kappa (κ). Results: Diagnostic accuracy was high: rater 1, AUC 0.94 (95% confidence interval: 0.89, 0.97) for T2-FLAIR, 0.95 (0.92, 0.98) for FLAIR*; rater 2, 0.94 (0.90, 0.98) and 0.90 (0.85, 0.95). AUC improved when images were considered together: rater 1, 0.99 (0.98, 1.00); rater 2, 0.98 (0.96, 0.99). Inter-rater agreement was substantial for T2-FLAIR (κ = 0.68) and FLAIR* (κ = 0.74), despite low agreement on the 40% rule (κ = 0.47) ([Formula: see text] in all cases). Conclusions: Joint clinical evaluation of T2-FLAIR and FLAIR* images modestly improves diagnostic accuracy for MS and does not require counting lesions with central veins.

Publisher

SAGE Publications

Subject

Clinical Neurology,Neurology

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