2011
DOI: 10.1177/1352458511402113
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The impact of intensity variations in T1-hypointense lesions on clinical correlations in multiple sclerosis

Abstract: Intensity variations can have a large impact on black hole-EDSS correlation. Restricting the measurement to a subset of the darkest voxels may yield stronger correlations.

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Cited by 37 publications
(39 citation statements)
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“…Gadolinium-enhancing (Gd+) lesion counts on T1-weighted images, and new or enlarging T2-hyperintense lesions, give an indication of recent inflammation and may predict relapse rate in the short term [2, 3]. T2-weighted images allow a quantitation of the accumulated extent, or overall burden, of focal white matter disease [1, 4], whereas chronic (unenhancing) T1-hypointense lesions have been more strongly associated with tissue destruction and axonal loss, and their persistence is associated with increased disability and permanent neurological deficit [5, 6]. Overall reduction in brain volume over time is considered to be a marker of neurodegeneration, and shows a relatively strong correlation with physical disability and cognitive impairment [7].…”
Section: Introductionmentioning
confidence: 99%
“…Gadolinium-enhancing (Gd+) lesion counts on T1-weighted images, and new or enlarging T2-hyperintense lesions, give an indication of recent inflammation and may predict relapse rate in the short term [2, 3]. T2-weighted images allow a quantitation of the accumulated extent, or overall burden, of focal white matter disease [1, 4], whereas chronic (unenhancing) T1-hypointense lesions have been more strongly associated with tissue destruction and axonal loss, and their persistence is associated with increased disability and permanent neurological deficit [5, 6]. Overall reduction in brain volume over time is considered to be a marker of neurodegeneration, and shows a relatively strong correlation with physical disability and cognitive impairment [7].…”
Section: Introductionmentioning
confidence: 99%
“…We perform comparisons between the unpaired and paired methods at nine different intensity thresholds. The motivation for analyzing BHs at different intensities comes from a recent small study (Tam et al, 2011) in which we observed that the cross-sectional correlation between BH volume and clinical disability can be strongly influenced by the intensity range used to define the BHs, and limiting the measurement to the darker regions can yield stronger correlations. In this study, we incorporate a similar analysis, but with a much larger data set and an added longitudinal dimension.…”
Section: Introductionmentioning
confidence: 99%
“…Myelitis is typically segmental. Persistent hypointensities (‘black holes’) on T 1 -weighted imaging and brain atrophy have been used as markers of axonal loss and neuronal destruction to measure disease activity [3,4,5,6]. Hypointense lesion load on T 1 -weighted imaging correlates well with clinical measures of disability.…”
Section: Introductionmentioning
confidence: 99%
“…Black holes are more common in patients with secondary progression than with relapsing-remitting MS and in aggressive than in benign MS. A black hole is defined as an area that is hypointense compared with white matter on T 1 -weighted sequence and is concordant with a hyperintense lesion on T 2 -weighted sequence. The range of hypointensity is variable, ranging from signal intensities resembling gray matter to signal intensities resembling CSF [4,6]. There is no maximum size limit defining black holes.…”
Section: Introductionmentioning
confidence: 99%