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    Tracer kinetic modelling

    Department of Nuclear Medicine & Molecular Imaging

    Chapter 20

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    Dept. Of Nuclear Medicine & Molecular ImagingChapter 20

    Tracer Kinetic Modelling

    The spatial distribution of a radiotracer in the body is determined

    by the characteristics of the tracer.

    by the characteristics of the tissue under investigation.

    This distribution is time-varying.

    So study of the tracer kinetics may give insight into the

    underlying processes.

    Perfusion/transport

    Metabolism

    Binding

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    Dept. Of Nuclear Medicine & Molecular ImagingChapter 20

    Tracer Kinetic Modelling

    As an example, consider a tracer which is injected at point A and

    measured at point B.

    The time-activity curve will depend on the flow in the tube.

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    Dept. Of Nuclear Medicine & Molecular ImagingChapter 20

    Kinetic modeling in a nutshell

    Tissue distributionInjection

    Tissue

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    Kinetic modeling in a nutshell

    Model

    Tissue distributionInjection

    Tissue

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    Kinetic modeling in a nutshell

    Plasma sampling PET MeasurementModel

    Tissue distributionInjection

    Tissue

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    Kinetic modeling in a nutshell

    Plasma sampling PET MeasurementModel

    Tissue distributionInjection

    Tissue

    Model fit

    Model parameters

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    Dept. Of Nuclear Medicine & Molecular ImagingChapter 20

    Tracers

    A tracer is a substance that follows (traces) a physiologic or

    biochemical process. Some characteristic of an ideal tracer are:

    Its behavior should be identical or at least directly related to a known

    natural substance.

    Its mass should not influence the process which is being studied. This

    requires a high specific activity (MBq/mmol).

    It should not exhibit an isotope effect, or this effect must be

    predictable.

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    Dept. Of Nuclear Medicine & Molecular ImagingChapter 20

    Isotopes

    Single photon isotopes such as 99mTc, 67Ga, 111In or 123I and

    positron emitters such 18F or 89Zr are not normally present in the

    body.

    This is not a major problem with distribution, transport or

    excretion measurements.

    However, a biochemical reaction is much more selective and may

    not work, or work differently, when one of these isotopes is used.

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    Isotopes

    The positron emitters 11C, 13N and 15O are common in biological

    substances.

    So their use is advantageous since they will have no isotope

    effect. (The mass effect can be neglected.)

    However, their use is not simple considering their half-lives of

    only 20, 10 and 2 min.

    For PET, 11C is probably the best tracer in principle, but often 18F

    is used due to its longer half-live.

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    Compartments

    Tracer kinetic modeling uses the concept of compartments.

    The changes in tracer concentration are described by transports

    between compartments.

    Compartments may have a physical analog such as the

    intracellular fluid but they can also represent a transport from

    one chemical form to another of from a free tracer to a bound

    tracer.

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    Compartments

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    Linearity of transport

    Passive diffusion is linear with the concentration.

    However, since we have a finite number of transporters, enzymes or

    receptors, their associated processes are non-linear by definition.

    For example the Michaelis-Menten equation for tracer transport

    when there is competition between the tracer and an endogenous

    compound is given by:

    )()(

    1

    )(max

    tCKK

    tC

    tCTTtt

    me

    m

    e

    ttt

    +

    +

    =

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    Dept. Of Nuclear Medicine & Molecular ImagingChapter 20

    Linearity of transport

    Now devise the experiment in such a way that:

    The endogenous concentration is constant. (Steady-state condition)

    The tracer concentration is negligible. (Tracer condition)

    The tracer transport can then be approximated by:

    Thus under these conditions the tracer transport is indeed linear with its

    concentration.

    )()(

    1)()(

    1

    )( maxmax tkCtC

    KK

    C

    T

    tCKK

    tC

    tCTT

    tt

    t

    me

    m

    e

    t

    tt

    me

    m

    e

    ttt

    =

    +

    =

    +

    +

    =

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    Compartment Models: Linearity

    Since the transport is linear with the tracer concentration, the above model is

    described by:

    C1

    K1

    k2

    k3C2Cp

    132

    13211 )(

    Ckdt

    dC

    CkkCK

    dt

    dCp

    =

    +=

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    Dept. Of Nuclear Medicine & Molecular ImagingChapter 20

    Compartment Models: Linearity

    Since the transport is linear with the tracer concentration, the above model is

    described by:

    2413

    2

    241321

    1 )(

    CkCkdt

    dC

    CkCkkCKdt

    dCp

    =

    ++=

    C1

    K1

    k2

    k3

    C2Cpk4

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    Dept. Of Nuclear Medicine & Molecular ImagingChapter 20

    Rate of metabolism

    Let us assume that k3 represents some metabolic process.

    Since this process is uni-directional, the transport from C1 to C2 represents

    the net metabolism of the tissue.

    This transport is given by: k3C1

    Under steady state conditions, the concentrations Cp and C1 are constant.

    Thus:

    So we find that:

    C1 C2Cp

    ppC

    kk

    KCCkkCK

    32

    1

    11321)(0

    +

    =+=

    pC

    kk

    kKCk

    dt

    dCM

    32

    31

    13

    2

    +

    ===

    k3

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    Rate of metabolism

    The total tissue signal is then given by:

    and since Cp is assumed constant, the tissue-plasma ratio thus becomes:

    C1 C2Cp

    dCkk

    kKC

    kk

    KCCC

    t

    ppt)(

    032

    31

    32

    1

    21 +

    +

    +

    =+=

    tkk

    kK

    kk

    K

    C

    dC

    kk

    kK

    kk

    K

    C

    C

    p

    t

    p

    p

    t

    32

    31

    32

    1

    0

    32

    31

    32

    1

    )(

    +

    +

    +

    =

    +

    +

    +

    =

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    The distribution volume gives the ratio of tissue and plasma concentration

    at equilibrium.

    We also use the partition coefficient which uses a different concept but

    gives exactly the same value.

    This can be determined directly from the data if steady state conditions

    are fulfilled.

    Distribution volumeC1 C2Cp

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    Under steady state conditions all concentrations will be constant. Thus:

    and the distribution volume thus equals:

    p

    pp

    Ckk

    kKC

    k

    kCCkCk

    Ck

    KCCkCkkCK

    42

    31

    1

    4

    3

    22413

    2

    1

    1241321

    0

    )(0

    ===

    =++=

    Distribution volumeC1 C2Cp

    +=+==

    4

    3

    2

    121 1kk

    kK

    CCC

    CCDV

    pp

    t

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    The derivation of the metabolic rate and the distribution volume assumes

    steady state for the tracer.

    This is only possible if the underlying processes are also in steady state.

    However, given the resulting equations, one can also calculate them from the

    individual rate constants.

    We can calculate the rate constants by fitting the measured data to the

    model.

    Thus, with this approach it is not essential that the tracer is in steady state.

    However, it remains essential that the system is in steady state.

    Steady state condition

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    Compartment models solutions

    Plasma sampling PET Measurement

    Tissue distributionInjectionTissue

    Model fit

    K1, k2

    tA

    t CkCKdt

    dC21

    =

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    Example: FDG measurement

    FDG PET measurement and fit

    Time [min]

    0 10 20 30 40 50 60

    Activity[Bq

    /cc]

    0

    5000

    10000

    15000

    20000

    Target

    Fitted

    Free

    Fixed

    Blood

    minccmlR

    b

    mink

    mink

    minccmlK

    tissueplasma

    v

    1

    1

    tissueplasma

    029.0

    024.0

    067.0

    108.0

    075.0

    3

    2

    1

    =

    =

    =

    =

    =

    Free

    K1

    k2

    k3

    FixedPlasma

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    SA4503 PET measurement and fit

    Time [min]

    0 20 40 60 80

    Activity[Bq

    /cc]

    0

    2000

    4000

    6000

    8000

    10000

    12000

    14000

    Target

    Fitted

    Free

    Bound

    Blood

    tissueplasma

    v

    1

    1

    1

    tissueplasma

    ccmlDV

    BP

    b

    mink

    mink

    mink

    minccmlK

    0.6

    6.0

    024.0

    021.0

    013.0

    107.0

    394.0

    4

    3

    2

    1

    =

    =

    =

    =

    =

    =

    =

    Example: Receptor measurement

    Free

    K1

    k2

    k3

    k4

    BoundPlasma

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    Extraction

    The Renkin-Crone model describes the extraction

    for a rigid tube with identical arterial/venous flow

    and extraction of a surface S with permeability P.

    This model can also be transformed into a

    compartment model with perfusion F and a tissue

    extraction PS.

    ( )F

    PS

    eE

    =1

    FPS

    PSE

    +

    =

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    Extraction & Clearance

    From the extraction we can calculate the

    clearance i.e. the product of extraction

    and flow.

    For low flow, the extraction is ~1 i.e. the

    clearance becomes dependent of flow.

    For high flow, the extraction behaves

    like 1/F. Thus the clearance becomes

    independent of flow.

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    Tracer Tracee revisited

    We showed the importance of the steady-state and tracer condition.

    We also showed that the individual rate constants can be measured using

    PET.

    However, the rate constants are determined for the tracer.

    How do they relate to the process under investigation?

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    Tracer Tracee revisited

    Consider the model for glucose (tracee) and FDG (tracer) i.e. by

    measuring the FDG kinetics we want to learn something about the glucose

    consumption.

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    Tracer - Tracee

    Shown are the tracer kinetic models for glucose and FDG.

    Not that both are transported by the same transport systems and both are

    metabolized by hexokinase.

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    Tracer - Tracee

    We can measure

    The total tissue activity as a function of time using PET.

    The plasma activity by taking plasma samples.

    We can then solve the tracer kinetic model using the measured input and

    output to obtain the optimal parameter set K1*, k2

    *, k3* and k4

    *.

    Generally, it is assumed that k4*=0. The rate of metabolism for FDG is

    then given by:

    *

    3

    *

    2

    *

    3

    *

    1

    kkkKR+

    =

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    Tracer - Tracee

    We can measure K1*, k2* and k3* and thus the rate of FDG metabolism.

    However, FDG is not identical to glucose so:

    This is incorporated into the lumped constant LC as:

    So, under the model assumptions, the measurement of FDG kinetics gives

    information about the steady-state glucose metabolism.

    ppC

    kk

    kKC

    kk

    kKM

    *

    3

    *

    2

    *

    3

    *

    1

    32

    31

    +

    +

    =

    LC

    C

    kk

    kKC

    kk

    kKM p

    p *

    3

    *

    2

    *

    3

    *

    1

    32

    31

    +

    =

    +

    =

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    Take home message

    PET allows the quantitative measurement (in Bq/ml) of the

    distribution of an injected tracer.

    From blood samples, the plasma input curve can be obtained.

    So given a specific I/O model, the model parameters can be

    measured.

    These model parameters give insight into the fate of the tracer in

    terms of transport, metabolism and/or binding.

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    Take home message

    These kinetic models require the system to be in steady-state.

    (Steady-state condition.)

    Generally, the tracer itself will fluctuate in time however its

    concentration should be negligible. (Tracer condition.)

    If the tracer has an endogenous analog, its model parameters will

    be identical or at least related to those of the analog.

    Thus, the tracer tells us something about this endogenous analog. For example 18FDG can be used to determine the glucose

    metabolism.

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    Take home message

    The individual rate constants can be of interest e.g. K1 can be

    related to perfusion.

    Often we need to combine the model parameters to get

    meaningful results.

    The most used are the rate of metabolism and the distribution

    volume.

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    Tracer Kinetic Modelling

    As an example, consider a tracer which is injected at point A and

    measured at point B.

    The time-activity curve will depend on the flow in the tube.