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A statistical shape model of trochlear dysplasia of the knee.
[trochlear dysplasia]
Trochlear
dysplasia
is
known
as
the
primary
predisposing
factor
for
patellar
dislocation
.
Current
methods
to
describe
trochlear
dysplasia
are
mainly
qualitative
or
based
on
a
limited
number
of
discrete
measurements
.
The
purpose
of
this
study
is
to
apply
statistical
shape
analysis
to
take
the
full
geometrical
complexity
of
trochlear
dysplasia
into
account
.
Statistical
shape
analysis
was
applied
to
20
normal
and
20
trochlear
dysplastic
distal
femur
models
,
including
the
cartilage
.
This
study
showed
that
the
trochlea
was
anteriorized
,
proximalized
and
lateralized
and
that
the
mediolateral
width
and
the
notch
width
were
decreased
in
the
trochlear
dysplastic
femur
compared
to
the
normal
femur
.
The
first
three
principal
components
of
the
trochlear
dysplastic
femurs
,
accounting
for
79
.
7
%
of
the
total
variation
,
were
size
,
sulcus
angle
and
notch
width
.
Automated
classification
of
the
trochlear
dysplastic
and
normal
femora
achieved
a
sensitivity
of
85
%
and
a
specificity
of
95
%
.
This
study
shows
that
shape
analysis
is
an
outstanding
method
to
visualise
the
location
and
magnitude
of
shape
abnormalities
.
Improvement
of
automated
classification
and
subtyping
within
the
trochlear
dysplastic
group
are
expected
when
larger
training
sets
are
used
.
Classification
of
trochlear
dysplasia
,
especially
borderline
cases
may
be
facilitated
by
automated
classification
.
Furthermore
,
the
identification
of
a
decreased
notch
width
in
association
with
an
increased
sulcus
angle
can
also
contribute
to
the
diagnosis
of
trochlear
dysplasia
.
