Evaluating the quality of radiomics-based studies for endometrial cancer using RQS and METRICS tools
European Radiology,
Год журнала:
2024,
Номер
35(1), С. 202 - 214
Опубликована: Июль 16, 2024
To
assess
the
methodological
quality
of
radiomics-based
models
in
endometrial
cancer
using
radiomics
score
(RQS)
and
METhodological
radiomICs
(METRICS).
Язык: Английский
Prediction of Lymph Node Metastasis in Endometrial Cancer Based on Color Doppler Ultrasound Radiomics
Academic Radiology,
Год журнала:
2024,
Номер
31(11), С. 4499 - 4508
Опубликована: Сен. 3, 2024
Язык: Английский
Diagnostic Value of MRI for Pelvic Lymph Node Extracapsular Invasion in Early-Stage Endometrial Carcinoma
International Journal of Women s Health,
Год журнала:
2025,
Номер
Volume 17, С. 1409 - 1419
Опубликована: Май 1, 2025
Endometrial
cancer
(EC)
is
the
major
female
malignant
tumor
in
developed
countries.
MRI
frequently
applied
gynecologic
malignancies.
We
probed
diagnostic
value
of
for
pelvic
lymph
node
extracapsular
invasion
(PLNEI)
early-stage
EC
patients.
Totally
142
patients
were
retrospectively
enrolled
and
divided
into
PLNEInegative/PLNEIpositive
groups.
Differences
parameters
[volume
index
(VI),
total
volume
(TTV),
ratio
(TVR),
mean
apparent
diffusion
coefficient
(ADCmean)]
analyzed.
Early-stage
with
PLNEI
categorized
high/low
VI,
TTV,
TVR,
ADCmean
The
relationships
TVR
clinicopathological
characteristics
Independent
influencing
factors
PLNEI,
analyzed
by
logistic
univariate/multivariate
regression
receiver
operating
characteristic
curve,
differences
areas
under
curves
compared
Delong
test.
There
significant
histological
type,
grade,
myometrial
depth,
LVSI
positive
detection,
cervical
involvement,
CA125
level
between
two
TTV
values
elevated
was
reduced
which
associated
level,
independent
showing
high
PLNEI.
had
a
good
method
to
detect
Язык: Английский
Integrating plasma exosomal miRNAs, ultrasound radiomics and tPSA for the diagnosis and prediction of early prostate cancer: a multi-center study
Clinical & Translational Oncology,
Год журнала:
2024,
Номер
27(3), С. 1248 - 1262
Опубликована: Авг. 28, 2024
Язык: Английский
Diagnostic utility of apparent diffusion coefficient in preoperative assessment of endometrial cancer: are we ready for the 2023 FIGO staging?
BMC Medical Imaging,
Год журнала:
2024,
Номер
24(1)
Опубликована: Авг. 28, 2024
Although
endometrial
cancer
(EC)
is
staged
surgically,
magnetic
resonance
imaging
(MRI)
plays
a
critical
role
in
assessing
and
selecting
the
most
appropriate
treatment
planning.
We
aimed
to
assess
diagnostic
performance
of
quantitative
analysis
diffusion-weighted
(DWI)
preoperative
assessment
EC.
Язык: Английский
Artificial intelligence in fracture detection on radiographs: a literature review
Japanese Journal of Radiology,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 14, 2024
Язык: Английский
Exploratory Analysis of Radiomics and Pathomics in Uterine Corpus Endometrial Carcinoma
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Дек. 28, 2024
Uterine
corpus
endometrial
carcinoma
(EC)
is
one
of
the
most
common
malignancies
in
female
reproductive
system,
characterized
by
tumor
heterogeneity
at
both
radiological
and
pathological
scales.
Both
radiomics
pathomics
have
potential
to
assess
this
support
EC
diagnosis.
This
study
examines
correlation
between
features
from
Apparent
Diffusion
Coefficient
(ADC)
maps
post-contrast
T1
(T1C)
images
with
pathomic
pathology
32
patients
CPTAC-UCEC
database.
91
were
extracted
ADC
T1C
images,
566
cell
detections
density
four
different
resolutions.
Spearman's
Bayes
Factor
analysis
used
evaluate
radio-pathomic
correlations.
Significant
cross-scale
correlations
found,
strengths
ranging
0.57
0.89
absolute
value
(9.47
×
104
<
BF
4.77
1014)
for
task,
0.64
0.70
(1.80
5.69
105)
task.
Most
significant
high
associations
observed
textural
maps.
Correlations
involving
morphometric
first-order
also
observed,
reflecting
variations
aggressiveness
tissue
composition.
These
findings
suggest
that
correlating
radiomic
histopathological
can
enhance
understanding
intratumoral
heterogeneity.
Язык: Английский