The Effect of Ultrasound Image Pre-Processing on Radiomics Feature Quality: A Study on Shoulder Ultrasound
Matthaios Triantafyllou,
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Evangelia E. Vassalou,
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Alexia Maria Goulianou
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et al.
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 6, 2025
Abstract
Radiomics,
the
extraction
of
quantitative
features
from
medical
images,
has
shown
great
promise
in
enhancing
diagnostic
and
prognostic
models,
particularly
CT
MRI.
However,
its
application
ultrasound
(US)
imaging,
especially
musculoskeletal
(MSK)
remains
underexplored.
The
inherent
variability
ultrasound,
influenced
by
operator
dependency
various
imaging
settings,
presents
significant
challenges
to
reproducibility
radiomic
features.
This
study
aims
identify
whether
commonly
used
image
pre-processing
methods
can
increase
radiomics
features,
increasing
quality
analysis.
is
performed
with
shoulder
calcific
tendinopathy
as
a
case
study.
Ultrasound
images
84
patients
rotator
cuff
calcifications
were
retrospectively
analysed.
Three
techniques—Histogram
Equalization,
Standard
CLAHE,
Advanced
CLAHE—were
applied
adjust
quality.
Manual
segmentation
was
performed,
followed
849
these
assessed
using
intraclass
correlation
coefficient
(ICC),
comparing
results
across
within
dataset.
CLAHE
method
consistently
yielded
highest
ICC
values,
indicating
superior
compared
other
methods.
Wavelet-transformed
GLCM
GLRLM
subgroups,
demonstrated
robust
all
techniques.
Shape
however,
continued
show
lower
reproducibility.
significantly
enhances
calcifications.
underscores
importance
achieving
reliable
analyses,
operator-dependent
modalities
like
ultrasound.
Language: Английский
Advances in Ultrasound-Guided Surgery and Artificial Intelligence Applications in Musculoskeletal Diseases
S. Hattori,
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Rachit Saggar,
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Eva Heidinger
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et al.
Diagnostics,
Journal Year:
2024,
Volume and Issue:
14(18), P. 2008 - 2008
Published: Sept. 11, 2024
Ultrasound
imaging
is
a
vital
tool
in
musculoskeletal
medicine,
with
the
number
of
publications
on
ultrasound-guided
surgery
increasing
recent
years,
especially
minimally
invasive
procedures
sports,
foot
and
ankle,
hand
surgery.
However,
ultrasound
has
drawbacks,
such
as
operator
dependency
image
obscurity.
Artificial
intelligence
(AI)
deep
learning
(DL),
subset
AI,
can
address
these
issues.
AI/DL
enhance
screening
practices
for
hip
dysplasia
osteochondritis
dissecans
(OCD)
humeral
capitellum,
improve
diagnostic
accuracy
carpal
tunnel
syndrome
(CTS),
provide
physicians
better
prognostic
prediction
tools
patients
knee
osteoarthritis.
Building
advancements,
DL
methods,
including
segmentation,
detection,
localization
target
tissues
medical
instruments,
also
have
potential
to
allow
surgeons
perform
more
accurately
efficiently.
This
review
summarizes
advances
diseases
provides
comprehensive
overview
utilization
particularly
focusing
Language: Английский
AI (as an Ally) for Musculoskeletal Ultrasound in PRM - Haute Couture After Renaissance
Levent Özçakar
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American Journal of Physical Medicine & Rehabilitation,
Journal Year:
2024,
Volume and Issue:
103(11), P. 967 - 969
Published: Aug. 1, 2024
This
DeLisa
lecture
highlights
the
invaluable
role
of
musculoskeletal
ultrasound
(i.e.
renaissance)
in
Physical
and
Rehabiltation
Medicine.
In
particular,
update
as
regards
how
artificial
intelligence
is
also
being
incorporated
prompt
utility
ultrasound.
The
discussion
does
not
only
pertain
to
its
use
daily
clinical
practice
but
comprises
exemplary
cutting
edge
research.
Language: Английский
Comparison of ultrasonographic parameters in the diagnosis of carpal tunnel syndrome in pregnancy
Journal of Health Sciences and Medicine,
Journal Year:
2024,
Volume and Issue:
7(3), P. 284 - 289
Published: May 27, 2024
Aims:
The
aim
is
to
evaluate
sonographic
parameters
in
pregnant
women
diagnosed
with
carpal
tunnel
syndrome
compared
electrodiagnostic
tests,
determine
whether
these
have
sufficient
accuracy
allow
their
use
clinical
practice.
Methods:
This
retrospective
study
examines
aged
18-40
the
3rd
trimester
who
received
a
final
diagnosis
of
between
2021-2023
at
Prof.
Dr.
Cemil
Taşçıoğlu
City
Hospital.
Pregnant
symptomatic
complaints
were
divided
into
two
groups:
those
positive
test
results
indicating
and
negative
results,
forming
control
group.
All
participating
had
median
nerve
cross-sectional
area,
flexor
carpi
radialis,
wrist-to-forearm
ratio,
MN-CSA/FCR
ratio
(expressed
as
percentage
called
NTR)
values
examined.
Results:
In
syndrome,
area
observed
surpass
cohort
(10.06±3.24
vs.
7.84±2.52)(p0.84%.
best
cut-off
for
was
calculated
>1.4
mm².
A
receiver
operating
characteristic
curve
generated,
point
1.4
showed
sensitivity
97.1%
specificity
69.2%.
Conclusion:
Ultrasonography
useful
pregnancy-related
CTS.
It
has
provided
comparable
tests
additionally
practical,
cost-effective,
swift.
Language: Английский
ETIOLOGY OF CARPAL TUNNEL SYNDROME
Rheumatology Quarterly,
Journal Year:
2024,
Volume and Issue:
2(4), P. 189 - 194
Published: Dec. 13, 2024
Aim:
Carpal
tunnel
syndrome
(CTS)
is
the
most
common
entrapment
neuropathy
resulting
from
compression
of
median
nerve
at
wrist
level.Increased
intercarpal
canal
pressure
plays
an
important
role
in
etiology
CTS.Although
cases
are
idiopathic,
there
may
also
be
some
systemic
or
local
causes.The
aim
this
study
was
to
evaluate
demographic
and
etiological
characteristics
patients
with
CTS
who
applied
our
electroneuromyography
(ENMG)
laboratory
within
3
months.
Material
Methods:Material
Methods:
One
hundred
forty-nine
(=298
hands)
were
sent
ENMG
for
evaluation
diagnosed
included
study.Cases
cervical
vertebral
root
lesions,
thoracic
outlet
syndrome,
polyneuropathy,
trauma
such
as
injury,
tumors
secondary
pregnancy
excluded
study.Results:
Results:
six
(71.1%)
women
43
(28.9%)
men.The
average
age
54.27±13.10,and
body
mass
index
(BMI)
27.92±3.98.BMI
≥30
found
47
(31.5%)
patients.In
study,
we
that
housewives
occupational
group
highest
risk
terms
(n=94,
63.1%).In
bilateral
hand
involvement
93
(62.4%)
patients.The
condition
idiopathic
(n=81,
54.6%).
Conclusion:
Conclusion:CTS
more
postmenopausal
work
usually
seen
dominant
hand.It
concluded
would
useful
diagnosis
CTS.
Language: Английский