% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Zhang:285357,
author = {Zhang, Ruiting and Chen, Chih-Hao and Lambert, Louis and
Cheng, Yu-Wen and Lebenberg, Jessica and Tezenas Du Montcel,
Sophie and Hervé, Dominique and Guey, Stephanie and
Dichgans, Martin and Tang, Sung-Chun and Chabriat, Hugues},
title = {{S}imple {MRI} {L}esion {L}evels {I}mprove {T}wo-{Y}ear
{P}rognostic {A}ccuracy {B}eyond {C}linical {H}istory in
{CADASIL}.},
journal = {Stroke},
volume = {57},
number = {3},
issn = {0039-2499},
address = {New York, NY},
publisher = {Association},
reportid = {DZNE-2026-00223},
pages = {758 - 769},
year = {2026},
abstract = {Cerebral autosomal dominant arteriopathy with subcortical
infarcts and leukoencephalopathy (CADASIL) is the most
common hereditary cerebral small-vessel disease. The CADASIL
MRI Inventory Tool summarizes individual MRI findings as
simple, type-specific lesion levels. We assessed the
predictive value of these levels beyond clinical
information.At baseline, CADASIL MRI Inventory Tool levels
were assigned for periventricular, deep, and superficial
white matter hyperintensities, lacunes, cerebral
microbleeds, perivascular spaces in the centrum semiovale
and basal ganglia, superficial and deep atrophy, large
infarcts, and macrobleeds. Outcomes included stroke,
migraine with aura (MA), moderate or severe cognitive
impairment, and disability, which were assessed at baseline
and during 2-year follow-up. Multivariable logistic
regression was performed, with adjustment for age, sex,
vascular risk factors, mutation location, and education
level.We analyzed 743 patients from France, Germany, and
Taiwan (mean age, 53±12; $55\%$ with prior stroke; $35\%$
with MA; $15\%$ with disability; $18\%$ with cognitive
impairment). At baseline, higher deep white matter
hyperintensities and lacune levels were associated with
stroke, whereas cerebral microbleeds and superficial atrophy
were inversely associated with MA. Superficial atrophy and
periventricular white matter hyperintensities were higher,
and superficial white matter hyperintensities were lower,
among those with cognitive impairment, whereas deep atrophy
and lacunes were linked to disability. Over 2 years (n=547),
$11.7\%$ experienced ischemic stroke events, $22.2\%$ MA
attacks, $6.5\%$ developed disability, and $6.9\%$ moderate
or severe cognitive impairment. After adjustment, lacune
levels independently predicted ischemic stroke events (odds
ratio, 6.10 $[95\%$ CI, 2.09-26.02] for all levels
combined). Superficial atrophy and higher superficial white
matter hyperintensities predicted a lower risk of MA (odds
ratio, 0.29 and 0.21 $[95\%$ CI, 0.12-0.68] and
[0.06-0.77]). Lacunes and deep atrophy predicted disability,
and lacunes with superficial atrophy predicted cognitive
impairment.CADASIL MRI Inventory Tool lesion levels are
differentially associated with CADASIL manifestations and
provide independent 2-year prognostic information beyond
clinical covariates. These simple measures may supplement
clinical evaluation to improve short-term risk
stratification and support patient selection in clinical
trials.},
keywords = {Humans / CADASIL: diagnostic imaging / CADASIL: pathology /
Male / Female / Middle Aged / Magnetic Resonance Imaging:
methods / Prognosis / Adult / Aged / White Matter:
diagnostic imaging / White Matter: pathology / Stroke /
Cognitive Dysfunction / Atrophy / NOTCH3 mutation (Other) /
cerebral atrophy (Other) / ischemic stroke (Other) / lacune
(Other) / longitudinal (Other) / microbleed (Other) / white
matter hyperintensities (Other)},
cin = {AG Dichgans},
ddc = {610},
cid = {I:(DE-2719)5000022},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:41439314},
doi = {10.1161/STROKEAHA.125.053727},
url = {https://pub.dzne.de/record/285357},
}