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Calculating optimal surveillance for detection of von Hippel-Lindau-related manifestations.
[von hippel-lindau disease]
von
Hippel-
Lindau
(
VHL
)
mutation
carriers
develop
benign
and
malignant
tumors
,
requiring
regular
surveillance
.
The
aim
of
this
study
was
to
calculate
the
optimal
organ-
specific
age
to
initiate
surveillance
and
optimal
intervals
to
detect
initial
and
subsequent
VHL
-related
manifestations
.
In
this
study
,
we
compare
these
results
with
the
current
VHL
surveillance
guidelines
.
We
collected
data
from
82
VHL
mutation
carriers
in
the
Dutch
VHL
surveillance
program
.
The
cumulative
proportion
of
carriers
diagnosed
with
a
first
VHL
-related
manifestation
was
estimated
by
the
Kaplan-
Meier
method
.
The
Poisson
distribution
model
was
used
to
calculate
average
time
to
detection
of
the
first
VHL
-related
manifestation
and
subsequent
manifestations
.
We
used
this
to
calculate
the
optimal
organ-
specific
age
to
initiate
surveillance
and
the
surveillance
interval
that
results
in
a
detection
probability
of
5
%
.
The
calculated
organ-
specific
ages
to
initiate
surveillance
were
0
years
(
birth
)
for
adrenal
glands
,
7
years
for
the
retina
,
14
years
for
the
cerebellum
,
15
years
for
the
spinal
cord
,
16
years
for
pancreas
,
and
18
years
for
the
kidneys
.
The
calculated
surveillance
intervals
were
4
years
for
the
adrenal
glands
,
biennially
for
the
retina
and
pancreas
,
and
annually
for
the
cerebellum
,
spinal
cord
,
and
kidneys
.
Compared
with
current
VHL
guidelines
,
the
calculated
starting
age
of
surveillance
was
6
years
later
for
the
retina
and
5
years
earlier
for
adrenal
glands
.
The
surveillance
intervals
were
two
times
longer
for
the
retina
and
four
times
longer
for
the
adrenal
glands
.
To
attain
a
5
%
detection
probability
rate
per
organ
,
our
mathematical
model
indicates
that
several
modifications
of
current
VHL
surveillance
guidelines
should
be
considered
.
Diseases
Validation
Diseases presenting
"a first vhl-related manifestation was estimated by the kaplan-meier method"
symptom
von hippel-lindau disease
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