TP for EBT

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Aplikasi radiasi dalam kesehatan oleh Rena

Transcript of TP for EBT

  • Treatment Planning for EBT

    Rena Widita

    The aims of treatment planning To localize the tumour volume in patient To define the target volume for treatment To measure the outline of the patient and to place

    within it the target volume and other anatomical structures which may affect the dose distribution

    To determine the optimum treatment configuration required to irradiate the target volume

    To calculate the resultant dose distribution in the patient

    To prepare an unambiguous set of treatment instructions for the radiographers.

    Imaging/diagnostic

    In treatment planning consideration must not only be given to the accuracy and precision of dose to a specified point/s, but also to the geometric tolerance of dose delivery

    It has been estimated that there is a 4 mm positional error in treatment and this should be taken into account when the target volume is defined

    Optimisation of treatment may be constrained by several factors

    Physical factors: Fundamental nature of the radiation used The limitation of treatment equipment

    Clinical factors, which may make it inappropriate to give the most sophisticated treatment when the patient will not gain any significant benefit.

    SINGLE FIELDS

    In photon therapy, treatments with a single field are generally used only for palliative purposes

    It is only with low energy x-rays that single-photon beams are used curatively

  • Calculation Two data charts are required for the

    calculation of the monitor units or a linac or the time to be set on a cobalt unit to deliver the prescribed dose to the target An output chart A depth dose table

    The data are normally tabulated for square fields

    Output Chart for 6 MV X-rays beam

    Giving the required number of monitor units to deliver a dose of100cGy to the position of the dose maxon the central axis at 100 cm SSD

    Field Size (cm2) Output (mu/100cGy)6 x 6 104.38 x 8 102

    10 x 10 10012 x 12 98.515 x 15 96.720 x 20 94.8

    Depth dose chart for 6 MV (SSD = 100 cm)

    Depth (cm) Field Size (cm)6 x 6 8 x 8 10 x 10

    1.5 100 100 1002 98.1 98.2 98.34 89.3 89.8 90.26 80.6 81.8 82.68 71.6 72.9 74

    10 63.7 65.1 66.2

    If the field is rectangular, an equivalent square field size which would have the same output and depth dose characteristics is used

    s = the side of the equivalent square a,b = the sides of the rectangular field

    Example Prescribed dose : 1500 cGy No. Of fractions : 5 Target depth : 6 cm Field size : 12 cm x 7 cm SSD : 100 cm Equivalent square : 8.8 cm PDD : 82.1% Output Factor : 101.2 mu/100cGy

    Daily monitor units = (1500/5)*(101.2/100)*(100/82.1)= 370 mu

    Output and depth dose data have been interpolated

    Non-standard treatment distance

    When the field size needed is larger than can be obtained at the standard SSD, and so an extended SSD is required

    Shortened SSD can be used to increase the dose rate and therefore to decrease treatment time

    Altering SSD causes a change in output factor and to a lesser, in the depth dose

    The variation in output factor with SSD can be assumed to depend on the inverse square law (ISL) provided that the deviation from the standard SSD is not large (less than about 10 cm)

  • The correction for the output factor

    f = the treatment distance fo = the nominal SSD dmax = the depth of dose max

    The variation of dose with depth depends on both the attenuating properties of tissue and on the ISL

    For a point at a depth d in a beam with its dose max at dmax, the correction to the depth dose measured at an SSD of fo is:

    Opposed Coaxial Fields

    Can be used to irradiate volume of tissue in which the tumour cannot be accurately defined

    Or because the intention is to give a relatively low dose of palliation

    For isocentric opposed field: separations of 12-24 cm would produce an error of 0.5% or less

    Example for opposed coaxial fields

    Prescribed dose : 3000 cGy No. Of fractions : 10 Separation : 18 cm Field size : 14 cm x 8 cm SSD : 100 cm Equivalent square : 10.2 cm Central depth dose : 70.2 * 2 = 140.4% Maximum percentage dose : 100 + 46.5 = 146.5% Output Factor : 99.8 mu/100cGy

    Daily monitor units = (3000/10)*(99.8/100)*(100/140.4)= 213 mu

    Maximum dose = 3000*(146.5/140.4) = 3130 cGy

    Output and depth dose data have been interpolated

    MULTIPLE FIELDS

  • Curative treatments generally require a higher dose

    > 3 fields are used (except head & neck, 2 fields)

    TP is concerned with the selection of the parameters required to produce the optimum dose distribution: Number of fields Orientation of fields Field sizes Wedges Weights

    Beam Weighting A method of achieving uniformity in the

    target volume to adjust the contribution from each beam

    A

    B D

    C

    O

    I

    IIIII

    Point I II IIIA 70 48 44

    B 58 62 40C 52 56 50D 58 42 56

    O 60 52 48

    Depth dose data for the field arrangement

    Make sure that the doses to B and D from field I are equal. If not use a wedge on this field to make them equal

    Dose to B = 62 w2 + 40 w3 and Dose to D = 42 w2 + 56 w3

    20 w2 = 16 w3 (if w2 = 1, w3 = 1.25) Determine the weight for field I so that the total doses to point A and C

    are equal Dose to A = 70 w1+ 48 w2 + 44 w3 and Dose to C = 52 w1+ 56 w2

    + 50 w3 18 w1 = 8w2 + 6w3 w1 = 0.86 Use the weights to calculate the doses to each point: Dose A = dose C = 163, dose B = dose D = 162, dose O = 164

    A three field treatment technique. The dose to 5 points within the target volume is to be balanced by altering the relative weights of the three fields

    Dose calculation Dose calculation for multiple fields involves the sumation of the dose

    distributions of the individual fields. The total relative dose Dp at a point P for an irradiation with n fields

    is given by

    DDi,p = the depth dose at point P from the ith fieldwi = the weight for that field

    Dose calculation within the patient

    In the previous section, in the calculation of the dose at a point it was assumed that the radiation beam was normally incident on a unit density medium in practise, a patient differs from this homogeneous situation both in shape and composition these differences must be taken into account when calculating the depth dose.

    For routine treatment planning by computer it is not necessary to know how these algorithms work.

    However, the physicist responsible for the purchase of new planning software should understand the limitations and accuracy of the methods used

    Algorithms for dose calculation in an inhomogeneous medium can be divided into 4 types that are essentially a compromise between speed and accuracy.

    Type Algorithm Account for

    1 [1] manual methods Effective depth2 [2] power law TAR Distance between inhomogeneity and

    point of calculation3 [3] equivalent TAR Scatter correction Volume

    integration of differential scatter-air ratiosPosition and shape of inhomogeneity

    4 [3] convolution methods Monte Carlo As type 3 but includes electron equilibrium at interfaces

    [1] manual methods Can be used manually but occasionally

    are used in computer calculations

    Only correct for the effective depth of a point, considering only changes in the primary component of dose

  • [2] power law TAR Takes account of the position of the

    calculation point with respect to the inhomogeneity, but considers the inhomogeneity to be of uniform thickness over the beam width

    This is known as the tissue-air-ratio (TAR) power law method

    [3] equivalent TAR Scatter correction Volume integration of differential

    scatter-air ratios

    Takes into account the [3] shape of the inhomogeneity

    These algorithms are the most complex used on commercial planning systems

    [3] convolution methods Monte Carlo

    Not considered to be practical owing to the lengthy calculation times involves

    Monte carlo calculations are not practical but the technique has been used to provide the input data for convolution methods.