Elastography in Reproductive Medicine, a Game-Changer for Diagnosing Polycystic Ovary Syndrome, Predicting Intrauterine Insemination Success, and Enhancing In Vitro Fertilization Outcomes: A Systematic Review
Biomedicines,
Journal Year:
2025,
Volume and Issue:
13(4), P. 784 - 784
Published: March 24, 2025
Background:
Elastography
is
an
ultrasound-based
imaging
technology
that
allows
for
quantitative
measurement
of
tissue
stiffness
and
elasticity.
In
reproductive
medicine,
it
a
potential
non-invasive
method
assessing
ovarian
activity,
uterine
contractility,
endometrial
receptivity.
While
conventional
ultrasound
provides
anatomical
vascular
information,
does
not
assess
biomechanical
properties,
which
are
important
understanding
polycystic
ovary
syndrome
(PCOS),
predicting
intrauterine
insemination
(IUI)
success,
determining
receptivity
in
vitro
fertilization
(IVF).
Methods:
A
systematic
review
was
conducted
accordance
with
the
PRISMA
principles,
protocol
recorded
PROSPERO.
comprehensive
literature
search
across
several
databases
to
uncover
studies
used
real-time
elastography
(RTE)
or
shear
wave
(SWE)
PCOS
diagnosis,
IUI
result
prediction,
evaluation
IVF.
The
risk
bias
assessed
using
ROBINS-I
technique.
Results:
Four
fulfilled
inclusion
criteria.
One
study
indicated
patients
had
considerably
increased
stiffness,
supports
as
diagnostic
marker.
Another
found
flexibility
decreased
contractility
were
related
better
outcomes.
retrospective
cohort
research
discovered
non-uniform
echogenicity
no
influence
on
IVF
results.
Furthermore,
SWE
successfully
evaluated
unexplained
infertility,
higher
being
reduced
implantation
potential.
Conclusions:
gives
real-time,
insights
into
biomechanics,
applications
infertility
diagnosis
ART
improvement.
However,
absence
defined
procedures
confirmed
clinical
criteria
prevent
its
broad
use.
More
large-scale
prospective
investigations
required
improve
elastographic
parameters
define
cutoffs
Language: Английский
Systemic low-dose anti-fibrotic treatment attenuates ovarian aging in the mouse
GeroScience,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 16, 2024
Language: Английский
Systemic low-dose anti-fibrotic treatment attenuates ovarian aging in the mouse
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 25, 2024
The
female
reproductive
system
is
one
of
the
first
to
age
in
humans,
resulting
infertility
and
endocrine
disruptions.
aging
ovary
assumes
a
fibro-inflammatory
milieu
which
negatively
impacts
gamete
quantity
quality
as
well
ovulation.
Here
we
tested
whether
systemic
delivery
anti-inflammatory
(Etanercept)
or
anti-fibrotic
(Pirfenidone)
drugs
attenuates
ovarian
mice.
We
evaluated
ability
these
decrease
expression
genes
primary
stromal
cells.
Whereas
Etanercept
did
not
block
Language: Английский
Flexural Eigenfrequency Analysis of Healthy and Pathological Tissues Using Machine Learning and Nonlocal Viscoelasticity
Computers,
Journal Year:
2024,
Volume and Issue:
13(7), P. 179 - 179
Published: July 19, 2024
Biomechanical
characteristics
can
be
used
to
assist
the
early
detection
of
many
diseases,
including
breast
cancer,
thyroid
nodules,
prostate
liver
fibrosis,
ovarian
and
tendon
disorders.
In
this
paper,
a
scale-dependent
viscoelastic
model
is
developed
assess
biomechanical
behaviour
biological
tissues
subject
flexural
waves.
The
nonlocal
strain
gradient
theory,
in
conjunction
with
machine
learning
techniques
such
as
extreme
boosting,
k-nearest
neighbours,
support
vector
machines,
random
forest,
utilised
develop
computational
platform
for
analysis.
coupled
governing
differential
equations
are
derived
using
Hamilton’s
law.
Transverse
wave
analysis
conducted
investigate
different
normal
pathological
human
conditions
fibrosis.
Viscoelastic,
gradient,
effects
describe
impact
fluid
content,
stiffness
hardening
caused
by
gradients
components,
softening
associated
nonlocality
stress
components
within
cells.
integration
continuum
facilitates
adoption
practical
applications
allowing
from
clinical
data,
alongside
intrinsic
mechanical
laws
that
govern
responses.
Language: Английский
Mathematical Models for Ultrasound Elastography: Recent Advances to Improve Accuracy and Clinical Utility
Bioengineering,
Journal Year:
2024,
Volume and Issue:
11(10), P. 991 - 991
Published: Sept. 30, 2024
Changes
in
biomechanical
properties
such
as
elasticity
modulus,
viscosity,
and
poroelastic
features
are
linked
to
the
health
status
of
biological
tissues.
Ultrasound
elastography
is
a
non-invasive
imaging
tool
that
quantitatively
maps
these
characteristics
for
diagnostic
treatment
monitoring
purposes.
Mathematical
models
essential
ultrasound
they
convert
raw
data
obtained
from
tissue
displacement
caused
by
waves
into
images
observed
clinicians.
This
article
reviews
available
mathematical
frameworks
continuum
mechanics
extracting
tissues
elastography.
Continuum-mechanics-based
approaches
classical
viscoelasticity,
elasticity,
poroelasticity
models,
well
nonlocal
continuum-based
described.
The
accuracy
can
be
increased
with
recent
advancements
modelling
techniques
including
hyperelasticity,
biphasic
theory,
inversion-based
incorporating
scale
effects.
However,
time
taken
clinical
increases
more
complex
this
major
challenge
expanding
utility
As
we
strive
provide
most
accurate
patients,
further
research
needed
refine
incorporation
workflow.
Language: Английский
Three-dimensional quantitative micro-elastography reveals alterations in spatial elasticity patterns of follicles and corpora lutea in murine ovaries during ageing
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 12, 2024
Summary
Fibrosis
and
tissue
stiffening
are
hallmarks
of
ovarian
ageing,
linked
to
a
decrease
in
fertility.
However,
the
lack
three-dimensional
(3D)
characterization
ovary
elasticity
limits
our
understanding
localized
patterns
their
connection
composition.
Here,
we
developed
an
integrated
approach
link
elasticity,
volume,
cell-matrix
composition
using
quantitative
micro-elastography
(QME),
label-free,
non-invasive
study
3D
microscale
conjunction
with
immunofluorescence
microscopy.
QME
revealed
distinct
spatial
compartments,
namely
follicles
corpora
lutea
(CLs),
local
alterations
different
age
cohorts.
For
example,
CL
significantly
increased
during
ageing
while
follicle
changed
minimally.
CLs
showed
size-dependent
changes,
exhibited
variations
correlated
emergence
theca
cell
layers
development.
These
findings
have
potential
guide
development
novel
diagnostic
tools
identify
therapeutic
targets,
improving
women’s
reproductive
health
longevity.
Graphical
Abstract
Language: Английский