Automatic detecting multiple bone metastases in breast cancer using deep learning based on low-resolution bone scan images
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 6, 2025
Whole-body
bone
scan
(WBS)
is
usually
used
as
the
effective
diagnostic
method
for
early-stage
and
comprehensive
metastases
of
breast
cancer.
WBS
images
with
cancer
metastasis
have
characteristics
low
resolution,
small
foreground,
multiple
lesions,
hindering
widespread
application
deep
learning-based
models.
Automatically
detecting
a
large
number
densely
lesions
on
low-resolution
remains
challenge.
We
aim
to
develop
unified
framework
based
images.
propose
novel
detection
detect
Considering
difficulties
feature
extraction
caused
by
resolution
we
innovatively
plug-and-play
position
auxiliary
module
fusion
enhance
ability
global
information
extraction.
In
order
accurately
in
WBS,
designed
self-attention
transformer-based
target
head.
This
retrospective
study
included
512
patients
from
Peking
Union
Medical
College
Hospital.
The
data
type
whole-body
image.
For
our
study,
ratio
training
set,
validation
set
test
about
6:2:2.
benchmarks
are
four
representative
baselines,
SSD,
YOLOR,
Faster_RCNN_R
Scaled-YOLOv4.
performance
metrics
Average
Precision
(AP),
Recall.
results
obtained
through
proposed
were
assessed
using
Bonferroni-adjusted
Wilcoxon
rank
test.
significant
level
adjusted
according
different
comparisons.
conducted
extensive
experiments
ablation
studies
private
dataset
public
scans
West
China
Hospital
validate
effectiveness
generalization.
Experiments
evaluate
method.
First,
compared
network
architectures,
AP
55.0
±
6.4%
(95%
confidence
intervals
(CI)
49.9–60.1%,
$$p<0.05$$
),
which
improved
45.2%
SSD
baseline
9.8
2%
CI
8.1–11.4%).
metric
recall,
achieved
average
54.3
4.2%
50.9–57.6%,
has
recall
values
49.01%
model
5.2
12.7%
10–21.3%).
Second,
studies.
On
dataset,
adding
head
will
increase
14.03%
(from
33.3
47.6
4.4%)
19.3%
52.6
6.1%),
respectively.
addition,
generalization
was
also
verified
BS-80K
Extensive
experimental
demonstrated
superiority
To
best
knowledge,
work
first
attempt
developing
automatic
detector
considering
unique
foreground
Our
tailored
can
be
clinical
decision
support
tool
early
decision-making
metastases.
Language: Английский
A Review on Multicellular Spheroids and Organoids for Breast Cancer Diagnosis and Therapy
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 20, 2024
In
response
to
escalating
ethical
and
regulatory
concerns
surrounding
animal
testing
in
drug
development,
bodies
such
as
the
Food
Drug
Administration
(FDA)
have
implemented
updated
guidelines
encourage
exploration
of
alternative
methodologies.
Simultaneously,
European
regulations
instituted
stringent
restrictions
on
for
assessment.
Consequently,
researchers
increasingly
turned
innovative
approaches
like
Three-dimensional
spheroid
cultures
organoids
address
these
challenges.
These
advanced
models
offer
promising
avenues
investigating
breast
cancer
efficacy,
they
accurately
mimic
intricate
architecture
cellular
diversity
human
tumors.
This
strategic
pivot
toward
methodologies
reflects
a
collective
commitment
advancing
research
while
ensuring
compliance
with
evolving
standards,
thereby
fostering
development
more
precise
personalized
therapeutic
strategies.
Language: Английский
Recent advancements and challenges in 3D bioprinting for cancer applications
Bioprinting,
Journal Year:
2024,
Volume and Issue:
43, P. e00357 - e00357
Published: Sept. 13, 2024
Language: Английский
PLLA Porous Scaffold as a 3D Breast Cancer Model to Investigate Drug Resistance
Journal of Biomedical Materials Research Part A,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 16, 2024
ABSTRACT
Multidrug
resistance
remains
one
of
the
major
challenges
in
breast
cancer
research,
often
leading
to
treatment
failure.
To
better
understand
this
mechanism,
sophisticated
three‐dimensional
(3D)
tumor
models
are
necessary,
as
they
offer
several
advantages
over
traditional
bidimensional
(2D)
cultures.
In
study,
poly‐
l
‐lactic‐acid
porous
scaffolds
were
produced
using
a
thermally
induced
phase
separation
technique
and
employed
3D
for
cell
lines:
MDA‐MB‐231,
MCF‐7,
its
multidrug‐resistant
variant,
MCF‐7R.
The
MTS
assay
was
used
compare
growth
inhibition
following
doxorubicin
2D
3D.
Remarkably,
IC
50
values
increased
cultures
compared
2D:
MDA‐MB‐231
(445
vs.
54.5
ng/mL),
MCF‐7
(7.45
0.75
μg/mL),
MCF‐7R
(165
39
μg/mL).
MCF‐7R,
which
usually
shows
greater
2D,
demonstrated
even
higher
fact,
not
reached
within
3
days
with
other
models,
but
only
after
6
days.
Cellular
morphology
also
played
crucial
role.
When
treated
concentrations
than
,
cells
lost
their
physiological
clustered
structure,
while
resistant
variant
exhibited
disrupted
layers.
All
lines
showed
chemoresistance,
suggesting
more
biomimetic
spatial
architecture.
Our
work
bridges
gap
between
monolayer
animal
highlighting
potential
polymeric
research.
Language: Английский
Immunotherapy in the Battle Against Bone Metastases: Mechanisms and Emerging Treatments
Fatheia N. Hamza,
No information about this author
Khalid S. Mohammad
No information about this author
Pharmaceuticals,
Journal Year:
2024,
Volume and Issue:
17(12), P. 1591 - 1591
Published: Nov. 26, 2024
Bone
metastases
are
a
prevalent
complication
in
advanced
cancers,
particularly
breast,
prostate,
and
lung
associated
with
severe
skeletal-related
events
(SREs),
including
fractures,
spinal
cord
compression,
debilitating
pain.
Conventional
bone-targeted
treatments
like
bisphosphonates
RANKL
inhibitors
(denosumab)
reduce
osteoclast-mediated
bone
resorption
but
do
not
directly
impact
tumor
progression
within
the
bone.
This
review
focuses
on
examining
growing
potential
of
immunotherapy
targeting
unique
challenges
posed
by
metastases.
Even
though
immune
checkpoint
(ICIs)
have
significantly
changed
cancer
treatment,
their
appears
limited
because
microenvironment’s
immunosuppressive
traits,
which
include
high
levels
transforming
growth
factor-beta
(TGFβ)
immune-suppressing
cells,
such
as
regulatory
T
cells
(Tregs)
myeloid-derived
suppressor
(MDSCs).
underscores
investigation
combined
therapeutic
approaches
that
might
ease
these
difficulties,
synergy
agents
aimed
at
bones
(denosumab,
bisphosphonates),
chemotherapy,
radiotherapy,
well
combination
different
immunotherapeutic
methods,
CAR
T-cell
therapy.
provides
comprehensive
analysis
preclinical
studies
clinical
trials
show
synergistic
approaches,
aim
to
both
enhance
responses
mitigate
destruction.
By
offering
an
in-depth
exploration
how
strategies
can
be
tailored
microenvironment,
this
need
for
personalized
treatment
approaches.
The
findings
emphasize
urgent
further
research
into
overcoming
evasion
metastases,
goal
improving
patient
survival
quality
life.
Language: Английский