Predicting progression of cerebral small vessel disease: relevance of carotid perivascular fat density based on computed tomography angiography
Quantitative Imaging in Medicine and Surgery,
Journal Year:
2025,
Volume and Issue:
15(2), P. 1582 - 1598
Published: Jan. 24, 2025
Symptomatic
carotid
lesions
surrounded
by
perivascular
fat
have
been
found
to
be
associated
with
the
presence
of
cerebral
small
vessel
disease
(CSVD).
In
this
study,
we
investigated
possible
relationship
density
(PFD)
CSVD
and
its
progression,
independent
stenosis.
This
study
retrospectively
evaluated
consecutive
patients
without
stenosis
who
underwent
computed
tomography
angiography
(CTA),
perfusion
(CTP),
two
brain
magnetic
resonance
imaging
(MRI)
scans
at
Zhejiang
Provincial
People's
Hospital
(hospital
I)
from
January
2019
March
2024.
Patients
were
categorized
into
three
groups:
(n=34),
progression
(n=83),
(n=146)
according
MRI
markers
CSVD.
Additionally,
65
(including
22
43
progression)
collected
Hangzhou
Traditional
Chinese
Medicine
II)
for
external
validation.
PFD
was
quantified
using
a
dedicated
software.
The
association
between
status
on
CTP
assessed.
associations
also
analyzed.
Six
models
based
PFD,
significant
clinical
factors,
radiomic
signatures
developed
validated
predict
progression.
values
positively
lacunes,
microbleeds
(CMBs),
white
matter
hyperintensities
(WMH)
(all
P<0.05).
addition,
had
higher
than
those
[-51.38±7.35
vs.
-57.19±7.31
Hounsfield
unit
(HU);
P<0.001].
Multivariate
analysis
indicated
that
diabetes,
coronary
artery
disease,
predictors
Moreover,
hybrid
model
showed
enhanced
performance
yielded
highest
area
under
receiver
operating
characteristic
curve
(AUC)
operator
[training:
AUC
=0.818,
95%
confidence
interval
(CI):
0.758-0.876;
internal
validation:
=0.805,
CI:
0.690-0.908;
=0.807,
0.676-0.921].
that,
in
participants
stenosis,
predictive
suggesting
involvement
inflammation
present
pathogenesis
Language: Английский
Neuroimaging Findings From Cerebral Structure and Function in Coronary Artery Disease
Wanbing Wang,
No information about this author
Xinghua Zhang,
No information about this author
Jinhao Lyu
No information about this author
et al.
Journal of Magnetic Resonance Imaging,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 28, 2024
An
increasing
number
of
evidence
suggests
that
bidirectional
communication
between
the
cardiovascular
system
and
central
nervous
(CNS),
known
as
heart–brain
interaction,
is
crucial
in
understanding
impact
coronary
artery
disease
(CAD)
on
brain
health.
The
multifactorial
role
CAD
involves
processes
such
inflammation,
oxidative
stress,
neuronal
activity,
neuroendocrine
imbalances,
reduced
cerebral
perfusion,
leading
to
various
abnormalities.
mechanisms
underlying
relationship
injury
are
complex
involve
parallel
pathways
CNS,
endocrine
system,
immune
system.
Although
exact
remain
partially
understood,
neuroimaging
techniques
offer
valuable
insights
into
subtle
abnormalities
patients.
Neuroimaging
techniques,
including
assessment
neural
function,
metabolism,
white
matter
microstructure,
volume,
provide
information
evolving
nature
CAD‐related
over
time.
This
review
provides
an
overview
pathophysiological
interaction
summarizes
recent
studies
utilizing
multiparametric
investigate
associated
with
CAD.
application
advanced
neuroimaging,
particularly
functional,
diffusion,
perfusion
offers
high
resolution,
capabilities,
contrast,
thereby
allowing
for
early
detection
changes
structure
facilitating
further
exploration
intricate
Level
Evidence
5
Technical
Efficacy
Stage
3
Language: Английский