Rare Diseases Symptoms Automatic Extraction
Home
A random Abstract
Our Project
Our Team
Computational analysis of p63(+) nuclei distribution pattern by graph theoretic approach in an oral pre-cancer (sub-mucous fibrosis).
[oral submucous fibrosis]
Oral
submucous
fibrosis
(
OSF
)
is
a
pre-cancerous
condition
with
features
of
chronic
,
inflammatory
and
progressive
sub-epithelial
fibrotic
disorder
of
the
buccal
mucosa
.
In
this
study
,
malignant
potentiality
of
OSF
has
been
assessed
by
quantification
of
immunohistochemical
expression
of
epithelial
prime
regulator
-
p
63
molecule
in
correlation
to
its
malignant
(
oral
squamous
cell
carcinoma
[
OSCC
]
and
normal
counterpart
[
normal
oral
mucosa
[
NOM
]
)
.
Attributes
of
spatial
extent
and
distribution
of
p
63
(
+
)
expression
in
the
epithelium
have
been
investigated
.
Further
,
a
correlated
assessment
of
histopathological
attributes
inferred
from
H
&
E
staining
and
their
mathematical
counterparts
(
molecular
pathology
of
p
63
)
have
been
proposed
.
The
suggested
analytical
framework
envisaged
standardization
of
the
immunohistochemistry
evaluation
procedure
for
the
molecular
marker
,
using
computer-aided
image
analysis
,
toward
enhancing
its
prognostic
value
.
In
histopathologically
confirmed
OSF
,
OSCC
and
NOM
tissue
sections
,
p
63
(
+
)
nuclei
were
localized
and
segmented
by
identifying
regional
maxima
in
plateau-like
intensity
spatial
profiles
of
nuclei
.
The
clustered
nuclei
were
localized
and
segmented
by
identifying
concave
points
in
the
morphometry
and
by
marker-controlled
watersheds
.
Voronoi
tessellations
were
constructed
around
nuclei
centroids
and
mean
values
of
spatial-relation
metrics
such
as
tessellation
area
,
tessellation
perimeter
,
roundness
factor
and
disorder
of
the
area
were
extracted
.
Morphology
and
extent
of
expression
are
characterized
by
area
,
diameter
,
perimeter
,
compactness
,
eccentricity
and
density
,
fraction
of
p
63
(
+
)
expression
and
expression
distance
of
p
63
(
+
)
nuclei
.
Correlative
framework
between
histopathological
features
characterizing
malignant
potentiality
and
their
quantitative
p
63
counterparts
was
developed
.
Statistical
analyses
of
mathematical
trends
were
evaluated
between
different
biologically
relevant
combinations
:
(
i
)
NOM
to
oral
submucous
fibrosis
without
dysplasia
(
OSFWT
)
(
ii
)
NOM
to
oral
submucous
fibrosis
with
dysplasia
(
OSFWD
)
(
iii
)
OSFWT-OSFWD
(
iv
)
OSFWD-OSCC
.
Significant
histopathogical
correlates
and
their
corroborative
mathematical
features
,
inferred
from
p
63
staining
,
were
also
investigated
into
.
Quantitative
assessment
and
correlative
analysis
identified
mathematical
features
related
to
hyperplasia
,
cellular
stratification
,
differentiation
and
maturation
,
shape
and
size
,
nuclear
crowding
and
nucleocytoplasmic
ratio
.
It
is
envisaged
that
this
approach
for
analyzing
the
p
63
expression
and
its
distribution
pattern
may
help
to
establish
it
as
a
quantitative
bio-marker
to
predict
the
malignant
potentiality
and
progression
.
The
proposed
work
would
be
a
value
addition
to
the
gold
standard
by
incorporating
an
observer-independent
framework
for
the
associated
molecular
pathology
.
Diseases
Validation
Diseases presenting
"significant histopathogical correlates"
symptom
oral submucous fibrosis
You can validate or delete this automatically detected symptom
Validate the Symptom
Delete the Symptom