Automatic prediction of obstructive sleep apnea in patients with temporomandibular disorder based on multidata and machine learning
Yeon‐Hee Lee,
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Seonggwang Jeon,
No information about this author
Q‐Schick Auh
No information about this author
et al.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Aug. 21, 2024
Obstructive
sleep
apnea
(OSA)
is
closely
associated
with
the
development
and
chronicity
of
temporomandibular
disorder
(TMD).
Given
intricate
pathophysiology
both
OSA
TMD,
comprehensive
diagnostic
approaches
are
crucial.
This
study
aimed
to
develop
an
automatic
prediction
model
utilizing
multimodal
data
diagnose
among
TMD
patients.
We
collected
a
range
data,
including
clinical
characteristics,
portable
polysomnography,
X-ray,
MRI
from
55
patients
who
reported
problems.
was
then
analyzed
using
advanced
machine
learning
techniques.
Three-dimensional
VGG16
logistic
regression
models
were
used
identify
significant
predictors.
Approximately
53%
(29
out
55)
had
OSA.
Performance
accuracy
evaluated
regression,
multilayer
perceptron,
area
under
curve
(AUC)
scores.
in
80.00-91.43%.
When
added
algorithm,
AUC
score
increased
1.00,
indicating
excellent
capability.
Only
obstructive
index
statistically
predicting
patients,
threshold
4.25
events/h.
The
learned
features
convolutional
neural
network
visualized
as
heatmap
gradient-weighted
class
activation
mapping
revealing
that
it
focuses
on
differential
anatomical
parameters
depending
absence
or
presence
In
OSA-positive
cases,
nasopharynx,
oropharynx,
uvula,
larynx,
epiglottis,
brain
region
recognized,
whereas
OSA-negative
tongue,
nose,
nasal
turbinate,
hyoid
bone
recognized.
Prediction
heat
map
analyses
support
plausibility
usefulness
this
artificial
intelligence-based
diagnosis
providing
deeper
understanding
regions
distinguishing
between
non-OSA.
Language: Английский
Depression and Related Clinical Factors in Adolescent Patients with Temporomandibular Disorder
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 11, 2024
Abstract
Temporomandibular
disorder
(TMD)
is
a
musculoskeletal
characterized
by
functional
limitations
and
pain
in
the
masticatory
muscle
temporomandibular
joint.
In
adolescent,
TMD
can
significantly
impact
mental
health
lead
to
psychosocial
disabilities.
This
study
aims
investigate
correlation
between
depression,
as
assessed
Symptom-Checklist-90-Revised
(SCL-90-R)
clinical
factors
adolescent
patients
with
TMD.
included
total
of
185
adolescents
(69
males,
116
females,
mean
age
15.15
±
2.17)
Korea,
who
was
diagnosed
November
2020
May
2023.
Patients
were
categorized
into
three
groups:
46
young
aged
10–13,
78
middle
14–16,
61
older
17–18.
Clinical
data
collected
from
medical
records
at
patients’
initial
visit.
Depression
evaluated
SCL-90-R.
exhibited
strong
age.
patients,
depression
scores
associated
stressful
conditions,
sleep
problems,
dysfunction
index,
presence
tinnitus,
craniomandibular
history
trauma,
habitual
irregular
diet.
generalized
linear
model,
most
significant
association
aging,
followed
clenching
habits,
obsessive-compulsiveness,
somatization.
contrast,
intensity
duration
not
related
patients.
Also,
osteoarthritis
panoramic
image
The
results
suggest
that
clinicians
evaluate
state
concise
information,
enhancing
management
treatment
this
population.
Language: Английский
Distinguishing Between Acute and Chronic Temporomandibular Disorder in Adolescent Patients
Yeon‐Hee Lee,
No information about this author
Q‐Schick Auh,
No information about this author
Seonggwang Jeon
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 23, 2024
Abstract
This
study
compared
the
clinical
and
imaging
characteristics
of
chronic
temporomandibular
disorder
(TMD)
to
those
acute
TMD
in
adolescent
patients
identify
factors
contributing
symptom
chronicity
with
TMD.
The
158
participants
were
divided
into
(symptom
duration
<
6
months)
≥
groups.
Clinical
reports,
panoramic
radiographs,
magnetic
resonance
images
(MRIs)
joint
retrospectively
reviewed
between
results
showed
that
overall
women-to-men
ratio
among
was
1.87:1
did
not
differ
significantly
Moreover,
group,
group
a
longer
treatment
duration;
smaller
anterior
posterior
spaces;
greater
nasomaxillary
(Na-Mx)
midline
discrepancy;
more
prevalent
disc
displacement
(ADD);
higher
rates
bruxism,
poor
posture,
sleep
problems,
headache,
irregular
diet.
Treatment
1
year
most
strongly
associated
TMD,
followed
by
space
narrowing,
ADD
on
MRI,
Na-Mx
discrepancy,
bruxism.
Therefore,
as
progresses,
tends
increase,
are
likely
experience
structural
changes.
Clinicians
should
consider
these
findings
diagnosis
adolescents
Language: Английский