2019
DOI: 10.3174/ajnr.a6057
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Evaluating the Utility of a Postprocessing Algorithm for MRI Evaluation of Optic Neuritis

Abstract: BACKGROUND AND PURPOSE: MR imaging is useful for the detection and/or confirmation of optic neuritis. The objective of this study was to determine whether a postprocessing algorithm selectively increases the contrast-to-noise ratio of abnormal optic nerves in optic neuritis, facilitating this diagnosis on MR imaging. MATERIALS AND METHODS: In this retrospective case-control study, coronal FLAIR images and coronal contrast-enhanced T1WI from 44 patients (31 eyes with clinically confirmed optic neuritis and 28 c… Show more

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Cited by 5 publications
(6 citation statements)
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“…As reported previously, 15 rates of false-positive accentuation of signal in control ONs (3.4% for FLAIR and 0% for CE images) were low in our study. This finding translated into an improvement in the specificity and PPVs for FLAIR and CE images (Table 2).…”
Section: Discussionsupporting
confidence: 75%
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“…As reported previously, 15 rates of false-positive accentuation of signal in control ONs (3.4% for FLAIR and 0% for CE images) were low in our study. This finding translated into an improvement in the specificity and PPVs for FLAIR and CE images (Table 2).…”
Section: Discussionsupporting
confidence: 75%
“…It has been previously shown that the detection of optic neuritis on FLAIR and CE-T1WI can be improved using an imagepostprocessing algorithm that can selectively accentuate the CNR between diseased ONs and the normal white matter. 15 We observed a similar beneficial effect of the algorithm on the CNR of diseased ONs on FLAIR as well as CE-T1WI (Table 4 and Fig 1). While this resulted in an improvement of diagnostic accuracy, unlike in the previous study, this improvement in the CNR did not translate into improvement in the sensitivity for the detection of signal alterations on FLAIR images (Table 2).…”
Section: Discussionsupporting
confidence: 71%
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