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001     866646
005     20210130003552.0
024 7 _ |a 10.3174/ajnr.A6033
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037 _ _ |a FZJ-2019-05725
082 _ _ |a 610
100 1 _ |a Sichtermann, T.
|0 0000-0002-9115-9548
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245 _ _ |a Increased Water Content in Periventricular Caps in Patients without Acute Hydrocephalus
260 _ _ |a Oak Brook, Ill.
|c 2019
|b Soc.
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520 _ _ |a BACKGROUND AND PURPOSE: Periventricular caps are a common finding on MR imaging and are believed to reflect focally increased interstitial water content due to dysfunctional transependymal transportation rather than ischemic-gliotic changes. We compared the quantitative water content of periventricular caps and microvascular white matter lesions, hypothesizing that periventricular caps associated with increased interstitial fluid content display higher water content than white matter lesions and are therefore differentiable from microvascular white matter lesions by measurement of the water content.MATERIALS AND METHODS: In a prospective study, we compared the water content of periventricular caps and white matter lesions in 50 patients using a quantitative multiple-echo, gradient-echo MR imaging water-mapping sequence.RESULTS: The water content of periventricular caps was significantly higher than that of white matter lesions (P = .002). Compared with normal white matter, the mean water content of periventricular caps was 17% ± 5% higher and the mean water content of white matter lesions was 11% ± 4% higher. Receiver operating characteristic analysis revealed that areas in which water content was 15% higher compared with normal white matter correspond to periventricular caps rather than white matter lesions, with a specificity of 93% and a sensitivity of 60% (P < .001). There was no significant correlation between the water content of periventricular caps and whole-brain volume (P = .275), white matter volume (P = .243), gray matter volume (P = .548), lateral ventricle volume (P = .800), white matter lesion volume (P = .081), periventricular cap volume (P = .081), and age (P = .224).CONCLUSIONS: Quantitative MR imaging allows differentiation between periventricular caps and white matter lesions. Water content quantification of T2-hyperintense lesions may be a useful additional tool for the characterization and differentiation of T2-hyperintense diseases.
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700 1 _ |a Furtmann, J. K.
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700 1 _ |a Dekeyzer, S.
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700 1 _ |a Gilmour, G.
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700 1 _ |a Oros-Peusquens, Ana-Maria
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700 1 _ |a Bach, J. P.
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700 1 _ |a Wiesmann, M.
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700 1 _ |a Shah, N. J.
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700 1 _ |a Nikoubashman, Omid
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773 _ _ |a 10.3174/ajnr.A6033
|g Vol. 40, no. 5, p. 784 - 787
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