Journal of Prosthodontics,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 7, 2024
Abstract
Purpose
This
study
aimed
to
assess
the
influence
of
magnetic
resonance
imaging
(MRI)
protocol
on
decision‐making
for
positioning
dental
implants
in
edentulous
arches
comparison
planning
based
cone
beam
computed
tomography
(CBCT).
Materials
and
Methods
One
phantom
was
scanned
with
CBCT
two
MRI
protocols
(T1‐
T2‐weighted).
Two
calibrated
examiners
performed
digital
implant
(coDiagnostiX,
Dental
Wings),
considering
a
prosthetic
alveolar
ridge
surface
scan.
Four
were
planned
each
patient
dataset,
angular
deviation
between
long
axis
occlusal
plane
measured.
Results
Each
examiner
40
implants,
12
28
(16
T1
T2
images).
Significant
differences
angle
observed
CBCT,
T1,
anterior
region
both
(
p
=
0.009
1
0.042
2).
Implants
showed
significantly
lower
than
those
scans
0.028
0.046
0.027
No
significant
difference
found
(examiner
1:
0.600,
2:
0.916).
Conclusion
Compared
planning,
influenced
deviations
within
acceptable
clinical
thresholds,
but
further
studies
are
needed
validate
these
findings.
Periodontology 2000,
Journal Year:
2024,
Volume and Issue:
95(1), P. 51 - 69
Published: June 1, 2024
Accurate
diagnosis
of
periodontal
and
peri-implant
diseases
relies
significantly
on
radiographic
examination,
especially
for
assessing
alveolar
bone
levels,
defect
morphology,
quality.
This
narrative
review
aimed
to
comprehensively
outline
the
current
state-of-the-art
in
diseases,
covering
both
two-dimensional
(2D)
three-dimensional
(3D)
modalities.
Additionally,
this
explores
recent
technological
advances
imaging
diagnosis,
focusing
their
potential
integration
into
clinical
practice.
Clinical
probing
intraoral
radiography,
while
crucial,
encounter
limitations
effectively
complex
defects.
Recognizing
these
challenges,
3D
modalities,
such
as
cone
beam
computed
tomography
(CBCT),
have
been
explored
a
more
comprehensive
understanding
structures.
The
significance
assessment
approach
is
evidenced
by
its
ability
offer
an
objective
standardized
means
evaluating
hard
tissues,
reducing
variability
associated
with
manual
measurements
contributing
precise
health.
However,
clinicians
should
be
aware
challenges
related
CBCT
assessment,
including
beam-hardening
artifacts
generated
high-density
materials
present
field
view,
which
might
affect
image
Integration
digital
technologies,
artificial
intelligence-based
tools
radiography
software,
enhances
diagnostic
process.
overarching
recommendation
judicious
combination
enhanced
assessment.
Therefore,
it
crucial
weigh
benefits
against
risks
higher
radiation
exposure
case-by-case
basis,
prioritizing
patient
safety
treatment
outcomes.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology,
Journal Year:
2024,
Volume and Issue:
138(3), P. 427 - 439
Published: April 6, 2024
To
evaluate
the
state-of-the-art
evidence
for
applying
low-dose
CBCT
protocols
in
3
stages
of
implant
therapy
(planning,
insertion,
and
follow-up
examination
peri-implantitis)
assess
overall
body
presented
literature.
Clinical Oral Implants Research,
Journal Year:
2024,
Volume and Issue:
35(11), P. 1394 - 1405
Published: July 5, 2024
Abstract
Aim
To
evaluate
the
performance
of
low‐dose
cone
beam
computed
tomography
(CBCT)
protocols
with
regard
to
linear
bone
measurements
in
posterior
mandible
for
implant
planning
compared
higher
dose
protocols.
Materials
and
Methods
Forty‐two
edentulous
sites
human
cadaveric
mandibles
were
imaged
three
CBCT
scanners
using
or
four
varying
exposure
parameters
achieve
lower
dose.
Co‐registration
was
performed
generate
sagittal
cross‐sectional
image
sections
representative
site.
Three
observers
measured
height,
from
alveolar
crest
mandibular
canal,
width,
mm
top
crest.
Intra‐
interobserver
reproducibility
assessed
cases
rated
as
nonmeasurable
well
completed
measurements.
The
analyzed
paired
t
‐tests
differences
among
frequency
distribution
a
Pearson
Chi‐square
test.
Results
Reproducibility
registering
varied
observers;
however,
no
consistent
significant
found
these
observers,
units,
Intraclass
correlation
coefficients
(ICC)
>0.9
all
height
width.
Mean
<0.5
regardless
protocol;
one
observer
did
some
produce
larger
differences.
Conclusion
Linear
not
differ
significantly
could
be
excellent
reliability,
standard
high‐resolution
ones.
Varying
approaches
rating
found,
indicating
diagnostic
strategies
related
observers.
Journal of Esthetic and Restorative Dentistry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 5, 2025
ABSTRACT
Objectives
This
case
report
describes
a
digital
workflow
that
integrates
restorative
and
surgical
planning
through
the
design
fabrication
of
multifunctional
guide
to
optimize
outcomes
in
treatment
combined
lesions.
Clinical
Considerations
Gingival
recessions
frequently
occur
alongside
non‐carious
cervical
lesions
(NCCLs),
forming
defects
complicate
cementoenamel
junction
(CEJ)
identification
planning.
A
40‐year‐old
male
presenting
with
gingival
recession
NCCLs
on
teeth
#14
#15.
restoration
was
planned
reconstruct
lost
CEJ
using
clinical
reference
points.
custom
subsequently
designed
replicate
restoration’s
contour
delineate
intended
incision
patterns
for
coronally
advanced
flap
(CAF)
procedure.
The
executed
composite
resin,
assisting
achieving
precise
contouring.
Root
coverage
then
performed
CAF
connective
tissue
graft,
facilitating
accurate
scalpel
blade
placement
during
preparation.
At
one‐year
follow‐up,
complete
root
observed
maintained
stability
terms
marginal
adaptation,
color,
surface
integrity.
Conclusions
use
can
enhance
precision
both
procedures
management
NCCL
defects,
potentially
improving
predictability
outcomes.
Significance
highlights
benefits
3D‐printed
treating
associated
NCCLs.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(12), P. 5028 - 5028
Published: June 9, 2024
Continuous
progress
in
dentistry
and
orthodontics
is
crucial
to
ensuring
high-quality
diagnosis
treatment
of
patients,
especially
since
malocclusions
occur
up
half
the
population.
In
addition
limiting
physiological
functions
masticatory
system,
they
are
often
an
aesthetic
defect
that
may
directly
affect
well-being
even
self-esteem
their
teenage
years
early
adulthood.
A
holistic
model
perceiving
treating
orthodontic
diseases,
such
as
Biocreative
Orthodontic
Strategy,
focusing
not
only
on
correction
itself
but
also
taking
into
account
least
possible
interference
physiology
use
appliances
a
minimum,
patient’s
preferences,
special
alternative
conventional
therapeutic
models.
this
review,
we
presenting
current
knowledge
regarding
applications
temporary
skeletal
anchorage
devices
(TSAD)
cone
beam
computed
tomography
(CBCT)
orthodontics.
Background/Objectives:
Dental
implants
have
become
a
cornerstone
of
restorative
dentistry,
providing
long-lasting
method
for
tooth
replacement.
The
level
osseointegration
has
big
impact
on
the
biomechanical
stability
at
bone-implant
contact
(BIC),
which
determines
how
long
these
will
work.
However,
exact
consequences
changing
levels
different
implant
designs,
especially
in
bones
with
variable
densities,
are
not
well
known.
Three
short
dental
were
tested
this
study:
BioMet
3iT3,
Straumann®
Standard
Plus
Short
Regular
Neck
(SPS-RN),
and
Short-Wide
(SPS-WN).
3D
finite
element
analysis
(FEA)
was
used
to
look
they
worked
biomechanically.
This
paper
tests
four
stages
osseointegration:
25%,
50%,
75%,
100%
both
high-density
(Bone
Type
III)
low-density
IV)
cancellous
bone.
It
also
created
examined
realistic
CAD
models
under
static
occlusal
loading
conditions
assess
stress
distribution
major
strains
contact.;
Results:
study
discovered
that
as
osteointegration
increases,
von
Mises
principal
go
down
significantly
all
types.
SPS-WN
had
lowest
strain
values,
bone
low
density.
These
reductions
demonstrate
increased
mechanical
inter-face
becomes
more
capable
dispersing
stresses,
minimizing
potential
localized
deformation
resorption.;
Conclusions:
results
highlight
importance
achieving
optimum
reduce
increase
lifespan
implants.
type
performed
better
than
others,
when
ideal.
makes
it
great
choice
clinical
applications
need
long-term
success.Keywords:
x
Journal of Oral Implantology,
Journal Year:
2024,
Volume and Issue:
50(1), P. 1 - 2
Published: Feb. 1, 2024
Implant
dentistry
has
progressed
rapidly
due
to
improved
digital
diagnostic
imaging
and
Artificial
Intelligence
(AI).
These
two
technologies
have
assisted
in
accurate
treatment
planning
implementation
of
surgical
prosthetic
successes.
Digital
AI
are
the
sine
qua
non
implant
dentistry.1The
concept
was
created
1950s
refers
artificial
machines
that
can
perform
tasks
typically
performed
by
humans.2
This
a
wild,
futuristic
bordering
on
science
fiction!
subset
referred
as
Machine
learning
(ML).
ML
algorithms
applied
understand
core
statistical
patterns
structures
collected
data,
which
be
used
predict
unobserved
data.
A
further
is
neural
network
(NN),
outperforms
traditional
algorithms,
particularly
complex
data
such
imagery
(i.e.,
radiographic
images).
NN
mathematical
non-linear
model.
Understanding
human
neuron
guided
creation
NN.
By
stacking
concatenating
neurons
then
connecting
those
layers
using
operations,
designed
solve
specific
task,
image
interpretation,
defining
presence
tooth
decay
yes
or
no
scenario.2Computer
intelligence
deviates
from
natural
does
not
replace
responses;
however,
it
support
interpretation
action.
Traditional
computer
software
(1.0)
rules-based
system
takes
programs
logical
rules
generate
limited,
conclusions
while
outperforming
humans
time
accuracy
when
performing
these
tasks.2,3Computer
2.0
uses
outcomes
infer
rules.
In
machine
learning,
experts
first
engineered
features
learned
(e.g.,
regression
modeling).
Advancing
this
information
exposes
"deep
learning,"
process
submitting
deep
multi-layered
architectures.
relevant
mapped
one
step
without
feature
engineering;
allows
for
leveraging
observed
imagery.2,3
led
radiomics,
extraction
even
more
scans
than
what
visual
assessments
capable
of.
Radiomics
enables
assess
observable
measurable
characteristics
(information)
found
CBCT
scan.
observe
things
eye
cannot.
DL
analyze
increased
information.
Utilizing
power
massive
collection,
build
predictive
model
artificially
mimics
intelligence.2,3
AI,
through
NN,
similar
our
brains
problems
make
fast,
decisions.4NN
plays
role
all
aspects
dentistry.
helpful
Restorative
Dentistry
(i)
helping
detect
caries,
(ii)
identifying
hidden
existing
restorations,
(iii)
determining
cavity
preparation
technique
would
best
caries
removal.
Endodontics,
valid
detecting
periapical
lesions
root
fractures,
evaluating
canal
anatomy,
pulp
stem
cells,
(iv)
file
working
length
measurements,
(v)
locating
minor
apical
foramen,
(vi)
predicting
possible
endodontic
retreatment
success.
Orthodontics,
predicts
whether
patients
need
pre-treatment
extractions,
considers
anchorage
patterns,
Class
II
III
patients,
detects
TMJ
osteoarthritis,
diagnoses
pathology
before
morphological
degeneration
occurs.
Periodontics,
helps
minimize
errors
diagnosis
periodontal
bone
loss
examination,
standardize
probing
techniques,
condition
teeth
surrounding
hard
tissues,
systematize
level
oral
hygiene,
evaluates
psychophysiological
effectively
risk
developing
disease.
Oral
Surgery,
characterizes
impact
orthognathic
surgery
facial
attractiveness
age
appearance
post-treatment,
third
molar
may
lead
paresthesia
inferior
alveolar
nerve,
odontogenic
lesions.4
Forensic
will
improve
efficiency
cumbersome,
time-consuming
work
automating
some
enhance
quality
evidence.5Diagnostic
transitioned
analog
techniques
two-dimensional
(2D)
three-dimensional
(3D)
formats.1
changes
accommodated
development
applications,
continue
dental
procedures.6
currently
being
recognize
type/brand
examining
images,
success,
optimize
design,
cone-beam
tomography
(CBCT)
imaging,
determine
osseointegration
quality,
identification
non-mineralized
tissue
around
bone-implant
interface,
(vii)
measure
peri-implant
loss,
(viii)
facilitate
placement
(ix)
help
clinicians
avoid
complications
difficulties
occur
during
treatment.4,6Because
scans,
an
comprehension
patient's
anatomical
structures.
Implantologists
consider
optimal
position
restorative
perspective.7
Virtual
AI-assisted
precisely
identifies
needs
place,
proximity
crucial
structures,
tooth-to-implant
distances,
ideal
depth,
precise
inter-implant
distances.7–9
Currently,
technology
3-D
superimposition
merge
intraoral
surfaces
combined
with
skeletal
anatomy
permits
pre-operative
simulations
post-operative
success.10
The
discipline
must
acquisition
protocols
should
tailored
clinical
needs,
there
trade-off
between
radiation
exposure
necessary
advancements
eventually
real-time
4-D
virtual
patient-in-motion
simulations.10
develop
because
demand
high
precision
meticulous
planning.AI
become
tool
Implantologist.
There
strong
evidence
supporting
synergy
expertise
well-trained
Comprehensive
Implantologist
AI-driven
intelligence.
benefit
workflows,
procedural
execution.
sophisticated,
predictable,
technology-driven
developed
functional
esthetic
expectations.
Clinicians
master
workflows
well-accomplished
Implantologists.
It
Implantology
recognized
specialty
sub-specialty
Maxillo-facial
surgery,
Prosthodontics,
General
Dentistry.
too
leave
unguided
position.