Journal of the Egyptian Ophthalmological Society,
Год журнала:
2024,
Номер
117(1), С. 43 - 49
Опубликована: Янв. 1, 2024
Background
Diabetic
retinopathy
(DR)
is
a
major
complication
of
diabetes,
leading
to
vision
impairment
and
blindness
worldwide.
As
early
detection
crucial,
our
study
investigated
the
potential
radial
peripapillary
capillary
plexus
(RPCP)
retinal
nerve
fiber
layer
(RNFL)
thickness
as
biomarkers
for
assessment
in
diabetic
patients.
Methods
We
conducted
cross-sectional
involving
48
participants,
categorized
into
three
groups:
healthy
controls,
patients
without
DR
(No
DR),
with
mild
moderate
nonproliferative
(NPDR).
Vascular
density
(VD)
RNFL
were
evaluated
using
optical
coherence
tomography
(OCT),
OCT-Angiography
(OCT-A).
Results
The
showed
significant
difference
VD
among
groups.
mean
whole
image
VD%
control
group
was
51.28%,
while
No
NPDR
groups
had
percentages
49.27%
49.46%,
respectively
(
P
=0.015).
These
differences
also
=0.003),
superior-hemi
=0.035),
inferior-hemi
percentage
=0.002).
Conversely,
there
no
=0.138).
In
group,
positive
correlations
found
between
percentages,
including
(r=0.724,
<0.001),
average
(r=0.655,
r
=0.647,
<0.001).
Conclusion
This
research
emphasizes
value
an
indicator
preclinical
changes
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 28, 2025
Abstract
Glaucoma
poses
a
growing
health
challenge
projected
to
escalate
in
the
coming
decades.
However,
current
automated
diagnostic
approaches
on
diagnosis
solely
rely
black-box
deep
learning
models,
lacking
explainability
and
trustworthiness.
To
address
issue,
this
study
uses
optical
coherence
tomography
(OCT)
images
develop
an
explainable
artificial
intelligence
(XAI)
tool
for
diagnosing
staging
glaucoma,
with
focus
its
clinical
applicability.
A
total
of
334
normal
268
glaucomatous
eyes
(86
early,
72
moderate,
110
advanced)
were
included,
signal
processing
theory
was
employed,
model
interpretability
rigorously
evaluated.
Leveraging
SHapley
Additive
exPlanations
(SHAP)-based
global
feature
ranking
partial
dependency
analysis
(PDA)
estimated
decision
boundary
cut-offs
machine
(ML)
novel
algorithm
developed
implement
XAI
tool.
Using
selected
features,
ML
models
produce
AUC
0.96
(95%
CI:
0.95–0.98),
0.98
0.96–1.00)
1.00
1.00–1.00)
respectively
differentiating
moderate
advanced
glaucoma
patients.
Overall,
outperformed
clinicians
early
stage
overall
10.4
–11.2%
higher
accuracy.
The
user-friendly
software
shows
potential
as
valuable
eye
care
practitioners,
offering
transparent
interpretable
insights
improve
decision-making.
Clinical and Experimental Optometry,
Год журнала:
2021,
Номер
104(7), С. 795 - 804
Опубликована: Фев. 25, 2021
Henrietta
Wangab
&
Michael
Kalloniatisab*
a
Centre
for
Eye
Health,
Sydney,
Australiab
School
of
Optometry
and
Vision
Science,
University
New
South
Wales,
Australia
Clinical and Experimental Optometry,
Год журнала:
2024,
Номер
107(5), С. 482 - 498
Опубликована: Март 7, 2024
Clinical
imaging
provided
by
optical
coherence
tomography
(OCT)
and
its
variant,
OCT-angiography
(OCT-A),
has
revolutionised
eyecare
practice.
The
techniques
allow
for
the
identification
quantification
of
ocular
structures,
supporting
diagnosis
prognosis
eye
disease.
In
this
review,
an
overview
usefulness
OCT-A
in
management
a
range
conditions
is
when
used
isolation
or
combination
with
other
modalities
measures
visual
function
(visual
field
results).
capacity
to
identify
quantify
vasculature
non-invasively,
thereby
assisting
clinician
determine
efficacy
intervention
impacting
retinal
vasculature.
Thus,
additional
clinically
useful
information
can
be
obtained
diseases
involving
such
as
those
vessel
occlusion,
diabetic
retinopathy,
inherited
dystrophy,
age-related
macular
degeneration,
choroidal
neovascularisation
optic
nerve
disorders.
Through
clinical
case
series,
various
are
reviewed,
impact
discussed.
Although
great
promise
already
management,
there
lack
set
standards
characterise
altered
vascular
features
disease
consequently
prognostication,
primarily
due
large-scale
trials
variability
algorithms
generating
quantitative
parameters.
Asia-Pacific Journal of Ophthalmology,
Год журнала:
2021,
Номер
10(5), С. 486 - 494
Опубликована: Сен. 1, 2021
The
eye,
with
its
distinctive
anatomy,
not
only
reflects
a
wide
variety
of
diseases
in
life
but
also
undergoes
myriad
post-mortem
changes.
Consequently,
the
eye
has
long
been
an
area
interest
forensic
science,
primarily
for
estimation
interval
and
therefore
time
death
assistance
ascertaining
cause
death.
There
significant
progress
knowledge
ophthalmic
science
using
new
technologies
which
have
allowed
further
possibilities
to
arise
where
understanding
this
field
can
assist
pathologist.
This
review
aims
highlight
current
exists
identify
important
avenues
investigation.
Post-mortem
changes
along
applications
challenges
will
be
discussed.
These
include
areas
iris
biometrics,
pupil
size
correlation
interval,
use
point-of-care
technology
on
vitreous
humor,
imaging
pediatric
abusive
head
trauma.
Clinical and Experimental Optometry,
Год журнала:
2020,
Номер
104(3), С. 367 - 384
Опубликована: Авг. 18, 2020
Glaucoma
is
the
leading
cause
of
irreversible
blindness
worldwide.
As
a
chronic
disease,
glaucoma
presents
significant
burden
to
individual,
health‐care
provider
and
system.
Currently,
strategies
for
treating
are
focused
on
lowering
intraocular
pressure,
which
aimed
at
slowing
or
arresting
disease
progression
over
time.
This
only
current
accepted
therapeutic
strategy
glaucoma,
can
be
achieved
using
topical
drugs,
laser
trabeculoplasty,
filtration
surgery
cyclodestructive
techniques.
The
pressure
has
been
well‐supported
by
numerous
large‐scale
seminal
clinical
trials
in
primary
open‐angle
both
its
early
advanced
stages.
Although
such
guidance
remains
current,
last
10-years,
there
evolution
preferred
first‐line
therapies
treatment
with
resultant
shift
practice
patterns,
particularly
course
disease.
These
changes
reflect
from
perspective
doctor
–
titrating
most
effective
least
risky
modality
patient,
consenting
that
preserves
vision
results
minimal
negative
impact
quality
life.
In
this
review,
recent
evidence
regarding
modalities
presented
an
updated
framework
management
proposed.
Ophthalmology Glaucoma,
Год журнала:
2020,
Номер
3(4), С. 274 - 287
Опубликована: Апрель 27, 2020
To
use
factor
analysis
to
visualize
and
assess
the
reproducibility
consistency
of
clinical
quantitative
parameters
that
can
optimally
distinguish
among
healthy,
glaucoma
suspect,
manifest
patients
at
a
cross-sectional
level
thus
describe
transition
change
diagnostic
categories.Retrospective
study.The
medical
records
(diagnosed
by
expert
clinicians)
seen
Centre
for
Eye
Health
in
2015
(n
=
148,
n
664,
129,
respectively)
2018
242,
464,
126,
were
reviewed.
One
eye
was
selected
study.Quantitative
measures
(intraocular
pressure
[IOP],
central
corneal
thickness
[CCT],
visual
field
[VF],
OCT)
extracted
binary
logistic
(backward
stepwise)
regression
performed
identify
factors
dictated
separation
between
pairs.
These
used
systematically
as
inputs
determine
final
model
could
potentially
predict
diagnosis.Intraocular
pressure,
CCT,
VF
(mean
deviation
pattern
standard
deviation)
indices,
OCT
optic
nerve
head
values
(retinal
fiber
layer
[RNFL]
ganglion
cell-inner
plexiform
layer).Few
identified
commonly
significant
across
all
pairings
(3
23:
IOP,
deviation,
7-o'clock
RNFL
thickness)
(1
vertical
cup-to-disc
ratio).
Few
overlapped
when
comparing
results,
highlighting
inconsistencies
models
years.
Factor
showed
good
healthy
persons
patients.
Using
biplots
data
2-dimensional
clusters,
suspect
demonstrated
substantial
overlap
with
cohorts.
The
contributions
each
parameter
changed
groups
years.Despite
advances
ocular
imaging
perimetry,
remains
confounded
lack
consistent,
reproducible
combinations
criteria.
results
highlight
nebulousness
(at
patient-,
instrument-,
clinician-related
levels)
diagnosis
contingent
on
individual
expertise
assessment.
The Journal of Comparative Neurology,
Год журнала:
2023,
Номер
531(11), С. 1108 - 1125
Опубликована: Апрель 19, 2023
Abstract
This
study
sought
to
identify
demographic
variations
in
retinal
thickness
measurements
from
optical
coherence
tomography
(OCT),
enable
the
calculation
of
cell
density
parameters
across
neural
layers
healthy
human
macula.
From
macular
OCTs
(
n
=
247),
ganglion
(GCL),
inner
nuclear
(INL),
and
segment–outer
segment
(ISOS)
layer
were
extracted
using
a
customized
high‐density
grid.
Variations
with
age,
sex,
ethnicity,
refractive
error
assessed
multiple
linear
regression
analyses,
age‐related
distributions
further
hierarchical
cluster
analysis
models.
Models
tested
on
naïve
cohort
40)
Mann–Whitney
tests
determine
generalizability.
Quantitative
data
calculated
histological
previous
studies.
Eccentricity‐dependent
OCT
closely
resemble
topographic
maps
Age
was
consistently
identified
as
significantly
impacting
p
.0006,
.0007,
.003
for
GCL,
INL
ISOS),
gender
affecting
ISOS
only
<
.0001).
Regression
models
demonstrated
that
changes
GCL
begin
30th
decade
ISOS.
Model
testing
revealed
significant
differences
.0008
.0001;
however,
fell
within
OCT's
axial
resolution.
Qualitative
comparisons
show
close
alignment
between
densities
when
unique,
high‐resolution
data,
correction
demographics‐related
variability.
Overall,
this
describes
process
calculate
vivo
all
retina,
providing
framework
basic
science
clinical
investigations.