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@ARTICLE{Sichtermann:866646,
author = {Sichtermann, T. and Furtmann, J. K. and Dekeyzer, S. and
Gilmour, G. and Oros-Peusquens, Ana-Maria and Bach, J. P.
and Wiesmann, M. and Shah, N. J. and Nikoubashman, Omid},
title = {{I}ncreased {W}ater {C}ontent in {P}eriventricular {C}aps
in {P}atients without {A}cute {H}ydrocephalus},
journal = {American journal of neuroradiology},
volume = {40},
number = {5},
issn = {1936-959X},
address = {Oak Brook, Ill.},
publisher = {Soc.},
reportid = {FZJ-2019-05725},
pages = {784 - 787},
year = {2019},
abstract = {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.},
cin = {INM-4 / INM-11 / JARA-BRAIN},
ddc = {610},
cid = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
$I:(DE-82)080010_20140620$},
pnm = {573 - Neuroimaging (POF3-573)},
pid = {G:(DE-HGF)POF3-573},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:30975653},
UT = {WOS:000468119900009},
doi = {10.3174/ajnr.A6033},
url = {https://juser.fz-juelich.de/record/866646},
}