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This lecture is part of lecture series for Pharmokinetics course. it was delivered by Prof. Aneela Usman at Pakistan Institute of Engineering and Applied Sciences, Islamabad (PIEAS). It includes: Compartment, Models, Mathematical, Structural, Parameter Estimation, Construction, Pharmacokinetic
Typology: Slides
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Lecture#
Quantitative Analysis and Data Processing in Nuclear Medicine
Islamabad, Pakistan Da NangVietnam
Dome of the Rock,Jerusalem, Israel
Lecture#
●
Structural modeling is the process by which ones
●
Structural
modeling
is
the
process
by
which
ones
knowledge
and
assumptions
about
the
system
are
formalized
first
as
a
schematic
and
then
mathematically.
●
Parameter estimation is the process by which the
●
Parameter
estimation
is
the
process
by
which
the
parameters
characterizing
the
model
are
adjusted
so
as
to
obtain
a
best
fit
of
the
available
data.
●
For
any
hypothesized
structural
model,
parameter
estimation
provides
information
to
assess
the
adequacy
of
the model.the
model. Criteria
based
upon
goodness
‐ of
‐ fit,
precision
of
the
parameter
estimates,
parsimony,
and
plausibility
permit
an
investigator
to
judge the quality of the modeljudge
the
quality
of
the
model
.
●
Such model can be used for predictive purposes e g
●
Such
model
can
be
used
for
predictive
purposes
e
.g.
estimating
the
system
parameters
and
simulating
future
experiments.
●
The
model
will
either
correctly
predict
the
results
of
these
experiments
or
not.
If it does not then the model structure will have to be changedIf
it
does
not
,^
then
the
model
structure
will
have
to
be
changed
,
and
the
process
of
compatibility
with
previous
data
and
physiological
plausibility
reexamined.
7
●
There are many types of mathematical models that can be
●
There
are
many
types
of
mathematical
models
that
can
be
used
to
interpret
tracer
kinetic
data.
All
have
assumptions
associated
with
them.
These
assumptions
need
to
be
understood
in
order
to
apply
them
correctly.
In
addition,
Selection
of
an
appropriate
model
for
a
p
articular
situation
can
pp
p
p
depend
upon
the
information
that
is
needed.
8
●
A model is a hypothesis using mathematical terms to
●
model
is
a
hypothesis
using
mathematical
terms
to
describe
quantitative
relationships
concisely.
●
Such
mathematical
models
can
be
devised
to
simulate
the
rate
processes
of
drug
absorption,
distribution,
and
elimination
to
describe
and
predict
drug
concentrations
in
the body as a function of time
the
body
as
a
function
of
time
●
The
p
redictive
capability
of
a
model
lies
in
the
p
roper
p
p
y
p
p
selection
and
development
of
mathematical
function(s)
that
parameterize
the
essential
factors
governing
the
kinetic
p
rocess. p
●
The
key
parameters
in
a
process
are
commonly
estimated
by
fitting
the
model
to
the
experimental
data,
known
as
variablesvariables
●
pharmacokinetic
parameter
is
a
constant
for
the
drug
that
is
estimated
from
the
experimental
data.
For
example,
estimated
pharmacokinetic
parameters
such
as
k
depend
on
the
method
of
tissue
sampling,
the
timing
of
the
sample,
drug
analysis,
and
the
predictive
model
selected.
●
Pharmacokinetic
models
are
used
to:
Predict
plasma,
tissue,
and
urine
drug
levels
with
any
dosage
regimen 2
. Calculate the optimum dosage regimen for each patient 2 .^
Calculate
the
optimum
dosage
regimen
for
each
patient
individually
Estimate
the
possible
accumulation
of
drugs
and/or
metabolites
4
Correlate drug concentrations with pharmacologic or toxicologic
4
.^
Correlate
drug
concentrations
with
pharmacologic
or
toxicologic
activity
Evaluate
differences
in
the
rate
or
extent
of
availability
between
formulations (bioequivalence)formulations
(bioequivalence)
Describe
how
changes
in
physiology
or
disease
affect
the
absorption,
distribution,
or
elimination
of
the
drug
7
Explain drug interactions
7
.^
Explain
drug
interactions
●
Simplifying assumptions are made in pharmacokinetic
●
Simplifying
assumptions
are
made
in
pharmacokinetic
models
to
describe
a
complex
biologic
system
concerning
the
movement
of
drugs
within
the
body.
For
example,
most
pharmacokinetic
models
assume
that
the
plasma
drug
concentration
reflects
drug
concentrations
globally
within
the
body.
●
These models use an empirical formula to estimate drug
●
These
models
use
an
empirical
formula
to
estimate
drug
level
over
time
and
it
is
justified
when
limited
information
is
available.
●
Empirical
models
are
practical
but
not
very
useful
in
explaining
the
mechanism
of
the
actual
process
by
which
the drug is absorbed, distributed, and eliminated in thethe
drug
is
absorbed,
distributed,
and
eliminated
in
the
body.
●
If the tissue drug concentrations and binding are known
●
If
the
tissue
drug
concentrations
and
binding
are
known
physiologic
pharmacokinetic
models,
which
are
based
on
actual
tissues
and
their
respective
blood
flow,
describe
the
d t
li ti
ll
d
ata
realistically.
●
Physiologic
pharmacokinetic
models
are
frequently
used
in
describing drug distribution in animals, because tissuedescribing
drug
distribution
in
animals,
because
tissue
samples
are
easily
available
for
assay.
On
the
other
hand,
tissue
samples
are
often
not
available
for
h
bj
t
t
h
i l
i^
l^
d l
h
uman
subjects,
so
most
physiological
models
assume
an
average
set
of
blood
flow
for
individual
subjects.
●
The
mammillary
model is the most common compartment
●
The
mammillary
model
is
the
most
common
compartment
model
used
in
pharmacokinetics.
●
The
mammillary model
is
a
strongly
connected
system,
because
one
can
estimate
the
amount
of
drug
in
any
compartment
of
the
system
after
drug
is
introduced
into
a
given compartment.given
compartment.
●
In the one
compartment model drug is both added to and
●
In
the
one
compartment
model
drug
is
both
added
to
and
eliminated
from
a
central
compartment.
The
central
compartment
is
assigned
to
represent
plasma
and
highly
f
d
ti
th t
idl
ilib
t
ith d
perfused tissues
th
at
rapidly
equilibrate
with
d
rug.
When
an
intravenous
dose
of
drug
is
given,
the
drug
enters
directly
into
the
central
compartment.
Elimination
of
drug
occurs
from
the
central
compartment
because
the
organs
involved
in
drug
elimination,
primarily
kidney
and
liver,
are
well
‐ perfused
tissues.