British Journal of Radiology (2003) 76, 163-176
© 2003 British Institute of Radiology
doi: 10.1259/bjr/42085182
Commissioning and quality assurance of the Pinnacle3 radiotherapy treatment planning system for external beam photons
J L Bedford, PhD1,
P J Childs, MSc1,
V Nordmark Hansen, PhD1,
M A Mosleh-Shirazi, PhD1,
F Verhaegen, PhD2 and
A P Warrington, MSc1
1 Joint Department of Physics, The Institute of Cancer Research and the Royal Marsden NHS Trust, Downs Road, Sutton, Surrey SM2 5PT and 2 National Physical Laboratory, Centre for Ionising Radiation Metrology, Dosimetry Group, Kaye Building, Queens Road, Teddington TW11 0LW, UK.
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Abstract
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The commissioning of a Pinnacle3 treatment planning system is described. Four Elekta linear accelerators were commissioned for external beam photons. Measured data were used to derive parameter values for the Pinnacle3 beam model by (1) fitting a Monte Carlo model of the accelerator head to measured data and then extracting the parameters for the Pinnacle3 beam model, and by (2) using the auto-modelling facility within Pinnacle3. Both of these methods yielded dose distributions in accord with published recommendations. A separate small-field beam model, customized for an in-house compact blocking system, was also created, which satisfied appropriate acceptance criteria for stereotactically guided conformal brain treatments. Inhomogeneous, oblique, asymmetrical and irregular fields were also assessed, with calculated and measured doses agreeing to within ±3%. Dosevolume histogram calculation was found to be accurate to within ±5% dose or volume for a grid size of 4 mm x 4 mm x 4 mm, with better accuracy being achieved for finer grids. Isocentric doses were compared between Pinnacle3's collapsed cone convolution algorithm and the BentleyMilan algorithm within the Target-2 treatment planning system. Dose differences were generally less than 3% in the dose prescribed, with larger values for breast plans, where the Pinnacle3 algorithm calculated scatter more accurately. Pelvic and thoracic plans were also verified using an anthropomorphic phantom, with local dose differences between calculated and delivered dose of up to 8%, but mainly less than 3%, and with no systematic difference. Ionization chamber verifications using START and RT-01 trial procedures demonstrated differences between calculated and measured doses of less than 2%. Following satisfactory performance in the commissioning process, Pinnacle3 has now been introduced into routine clinical use.
Key Words: 1(i)(j)(a)
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Introduction
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The Pinnacle3 treatment planning system (Philips Radiation Oncology Systems, Milpitas, CA) for three-dimensional (3D) conformal radiotherapy treatment planning has been used in the United States for several years. However, it has been less used in Europe and until recently, it has not been used at all in the UK [1]. Moreover, its main application has been in conjunction with Varian (Varian Associates, Palo Alto, CA) and Siemens (Erlangen, Germany) linear accelerators, with almost no use with Elekta (Crawley, UK) machines.
Since the patterns of treatment differ in Europe from the US, and since there are a large number of centres in the UK using Elekta linear accelerators, the experience gained by the use of Pinnacle3 in the US is not necessarily applicable in the UK [1, 2]. Some degree of familiarization and experience is therefore required. Accordingly, this paper presents details of the commissioning and quality assurance of Pinnacle3 at the Royal Marsden NHS Trust. It is not intended that this should be a guideline or recommendation for the use of Pinnacle3, but that other users or potential users may benefit from the approach taken for the commissioning process.
Several papers are of relevance to the present work. The most comprehensive guideline is the report by the Radiation Therapy Committee Task Group 53 (TG53) of the American Association of Physicists in Medicine on quality assurance for clinical radiotherapy treatment planning [3]. This is a complete description of the test procedures that should be carried out when commissioning a new treatment planning system. The paper by Van Dyk et al [4] is somewhat less involved and more practically realizable. Venselaar et al [5] have also provided a comprehensive list of tolerances for acceptance of treatment planning system accuracy, and applied these criteria to systematic tests of a variety of treatment planning systems, including Pinnacle3 [6]. Several other authors have reported on aspects of the commissioning process [710]. In particular, Starkschall et al [11] have described the beam modelling procedure used in conjunction with Pinnacle3, but have not discussed the complete set of tests required fully to commission the treatment planning system. Thus, the present paper provides a broader overview of the commissioning process for Pinnacle3, as carried out at this centre.
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Methods and materials
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Beam data measurement
The treatment planning system was commissioned for four Elekta linear accelerators; an SL25 (6 MV and 10 MV), two SL15s (6 MV and 10 MV), and an SL75-5 (6 MV). The treatment planning system and the accelerators are connected by a secure local area network, so that treatment prescriptions can be sent directly from the planning system to the treatment units. Photon beam data were measured using an energy-compensated p-type photon diode detector (Scanditronix, Uppsala, Sweden) in conjunction with a plotting tank and electrometer (Wellhöfer, Schwarzenbruck, Germany). Results using the diode were checked for a variety of field sizes against those obtained using a 0.13 cm3 ionization chamber (Wellhöfer, Schwarzenbruck, Germany). Since the agreement was good (see Results) the diode was used for all subsequent profile and depth dose measurements. Beam data for modelling were collected at a source-to-surface distance (SSD) of 90 cm for the dual energy accelerators, and at 95 cm for the SL75-5. These SSDs represented typical treatment SSDs. A limited set of data was collected at SSDs of 100 cm, 120 cm and 142 cm for verification of the models. Depth doses were measured for a range of field sizes between 3 cm and 40 cm, where applicable. For each field size, profiles along the length and width of the field through the central axis were measured at the depth of maximum dose, and at depths of 5 cm, 10 cm and 20 cm. Output factors for both square and rectangular fields were measured, using a 0.13 cm3 ionization chamber (Wellhöfer, Schwarzenbruck, Germany) in conjunction with a Farmer dosemeter (Saint Gobain Crystals and Detectors, Reading, UK). With wedged fields, mean factors were calculated from pairs of measurements taken at collimator angles of 90° and 270° to reduce the effect of chamber positioning errors.
For a separate small-field beam model (see below), dose profiles were measured using the above-mentioned diode and/or film for field sizes down to 2 cm. Output factors were measured using a 0.13 cm3 ionization chamber (Wellhöfer, Schwarzenbruck, Germany) down to a 1 cm field.
CT-to-density table
An RMI 465 density phantom (Radiation Measurements Inc., Middleton, WI) was used to generate CT-to-density tables at the 120 kV and 140 kV CT voltages commonly used at this centre [10]. These CT-to-density tables were used for all subsequent testing. An in-house CT quality assurance phantom [12] was also scanned. This phantom was a cylindrical water-filled phantom, 25 cm in diameter and 16 cm in length, containing 6 eccentric cylinders, each of 5 cm diameter, filled with various materials. These materials included water, air, lung-equivalent material (0.28 g cm-3) and two densities of bone-equivalent material (1.35 g cm-3 and 1.85 g cm-3). A central cavity allowed a 0.6 cm3 ionization chamber to be inserted into the phantom along its axis. This phantom was used for periodical verification of the CT-to-density tables and to perform dosimetric tests (see below).
Pinnacle3 beam model
The measured data were imported into Pinnacle3 using the import facilities provided. The Pinnacle3 approach was then to use the measured data to generate a model of the accelerator head, from which dose in any arbitrary situation could be calculated. The principal elements of the beam model were as follows [11, 13]:
- A detailed description of the accelerator geometry. This included the primary collimation angle, position of the flattening filter, wedge dimensions, the position, orientation, thickness and maximum travel of the jaws, and multileaf collimator (MLC) geometry.
- An energy spectrum described by relative weights of discrete energies of the photons generated at the source. This spectrum was determined from the depth dose characteristics of the measured data.
- Parameters describing build-up near the surface of the phantom or patient, including electron contamination. These parameters included a surface dose due to electrons, a maximum depth of electron contamination, several parameters describing the shape of the electron dose distribution between the surface and the maximum depth, and an off-axis factor describing the reduction in electron contamination off-axis.
- In-field model parameters. The flattening filter was modelled as a conical reduction in fluence over the beam area. The in-field parameters therefore included a fluence increase factor, describing the prominence of the beam "horns", and a cone radius setting the distance from the central axis after which no additional increase or decrease to fluence magnitude was seen. There was also a factor governing the spectral off-axis softening as a result of the flattening filter. A scatter factor giving the contribution of scattered radiation from wedges and other attenuating devices was also required. The in-field parameters primarily controlled the beam flatness characteristics.
- Out-of-field model parameters. The effect of the finite source size was modelled by convolving the fluence distribution with a Gaussian whose full width at half maximum was specified by effective source width and length. The scatter contribution of the flattening filter was also modelled as a Gaussian whose magnitude and width could be specified. Scattered fluence from the flattening filter was determined by back-projecting from the point of fluence calculation to the plane of the flattening filter, and integrating the Gaussian over the visible extent of the flattening filter. Jaw transmission was also required to be specified. The out-of-field parameters primarily governed the outer penumbra and the dose outside of the treatment field (the beam "tails").
These parameters were generated from the measured data using either Monte Carlo techniques combined with manual adjustments or using the automatic modelling procedure included with Pinnacle3.
Use of Monte Carlo generated accelerator data
Most of the above parameters represented physical features of the linear accelerator head. It was therefore possible to use the data generated from a Monte Carlo model of the accelerator as a starting point for these parameters. Hence, a Monte Carlo model was derived from measured dose distributions in water using the approach described by De Vlamynck et al [14]. The energy distribution and the lateral width of the primary electron beam hitting the target were obtained by matching calculated and measured dose distributions in water. The Pinnacle3 parameters were extracted from the Monte Carlo simulation data. The resulting dose distributions in water were compared with measurements [15], and the Pinnacle3 parameters were, where necessary, manually adjusted to provide the best possible fit of the dose distributions to the measurements.
Automodelling
The option within Pinnacle3 to generate beam parameters automatically according to measured data was also used. For each combination of linear accelerator and beam energy, separate models were produced for open and wedged fields. The Pinnacle3 sequence D_TuneAllInSections was first run to produce an approximate model [11, 13]. This process tuned the energy spectrum of the incident photon beam and the electron contamination parameters, while adjusting the entire model. The dimensions of the focal spot were also adjusted by this process. The process FineTuneECAndSpect was then run to improve the energy spectrum and electron contamination characteristics simultaneously. The process FineTuneCrossBeam was also run, to improve the cross-beam profiles for a range of field sizes. For the wedge model, processes FineTuneAllForWedge and FineTuneModifierScatter were both used to provide additional accuracy. Output factors were then computed.
Small-field beam model
The treatment planning system was required for stereotactically guided conformal radiotherapy of benign brain tumours, where multiple static beams were to be delivered with small non-coplanar fields. The beam data used by the planning system to plan these precise treatments was required to be highly representative of the treatment machine beams for the range of field sizes used. At this centre, an in-house conformal blocking system is used, which improves collision-free beam access around the patient compared with the standard accessory tray. Given the differences between this system and the tray-mounted blocks, in addition to the need to extend the field size range down to 2 cm and the greater beam modelling accuracy required for high-precision brain treatments, a separate small-field beam model was desirable. Therefore, small-field 6 MV treatment machine data incorporating two beam models, manually optimized for the field size range 2 cm to 12 cm, were created on Pinnacle3. A 0.15 cm grid resolution was used for the modelling. The two models used the same Monte Carlo generated spectrum as above. However, a different combination of modelling parameters was arrived at, which also produced reasonable agreement with measurements.
Dose profiles and blocked field output factors for various regular and irregular conformal blocks were compared with measurements. A circular block aperture of diameter 3.7 cm and a square block aperture of side 3.7 cm were both tested with secondary jaw sizes of 4.5 cm x 4.5 cm. Also tested were two blocks with irregularly shaped apertures previously used for a patient's treatment. These had approximately 40% of the secondary beam area shielded, the field dimensions ranging from 5.5 cm to 7.5 cm, one beam being symmetrical and the other asymmetrical. In order to remove the block production and light/radiation field discrepancies, each block shape was digitized into Pinnacle3 from the 50% isodose contour obtained using film. Accordance with the TG53 example criteria [3] was taken as a minimum requirement for validation of the model.
Assessment of heterogeneity correction
Several tests were carried out to verify the heterogeneity correction in a similar manner to that described by Kappas and Rosenwald [16] and Rice et al [17]. To test the fundamental performance of the heterogeneity correction, blocks of the same lung- and bone-equivalent material as used in the in-house CT phantom (see above) were positioned between slabs of "solid water" (Radiation Measurements Inc., Middleton, WI). A thickness of 5 cm of solid water was used for build-up in all cases. The thickness of the lung-equivalent material was 10.0 cm, whilst that of the 1.35 g cm-3 bone was 8.7 cm and that of the 1.85 g cm-3 bone was 8.6 cm. Approximately 15 cm of solid water was positioned beyond the inhomogeneity.
By dividing the solid water and inhomogeneous material into two widths, it was possible to sandwich an extended dose range verification film (EDR2, Eastman Kodak, Rochester, NY) through the cross-section of the material. This was then irradiated with 5 cm x 5 cm fields of energy 6 MV and 10 MV to provide a depth dose curve through the inhomogeneous material. The gantry was angled at 5° so as to minimize the perturbation caused by the presence of the film through the inhomogeneity. The films were calibrated using a similar geometry, but with solid water only. The depth dose curves were normalized to the dose at 3 cm in depth, so as to avoid any instability at the depth of maximum dose, but while sufficiently shallow to avoid being affected by the inhomogeneities. The depth doses obtained in the presence of inhomogeneities were divided by the corresponding depth dose in water, to provide a correction factor representing the influence of the inhomogeneity, following the benchmark measurements of Rice et al [17].
Measurements with a 0.6 cm3 ionization chamber were also made at 2 cm, 5 cm and 10 cm beyond the inhomogeneity. These measurements were made for gantry angles of both 0° and 5°, in the absence of film. Corresponding measurements were also made in homogeneous solid water, so that the ratio of the measurements with and without heterogeneity could be used as the correction factor.
Within Pinnacle3, depth dose curves were created using the collapsed cone convolution algorithm on a 2 mm x 2 mm x 2 mm grid. Correction factor curves were created by taking the ratio of heterogeneous and homogeneous curves.
To provide a more clinically applicable assessment of the inhomogeneity correction within Pinnacle3, a variety of six-field treatment plans were created and delivered to the in-house CT quality assurance phantom [12], and the resulting isocentric dose measured for each field using the ionization chamber. The planned and delivered doses were then compared. For this test, 5 cm x 5 cm fields were used so as to correspond with the 5 cm diameter inserts in the phantom.
Assessment of dosimetry for oblique, asymmetric and irregular field shapes
Various water phantoms were used to check the absolute accuracy of the treatment planning system in calculating oblique, asymmetrical and irregular fields. These fields were planned and delivered to the phantoms, and an ionization chamber was used to check the absolute dose. In addition, verification film was used to determine the correspondence of the isodoses predicted by the treatment planning system for MLC and block penumbra, with the corresponding measurements.
Quality assurance of dosevolume histograms
For the assessment of Pinnacle3's dosevolume histograms (DVHs), three methods were used: (1) calculation for the case of a precisely known dose distribution; (2) variation of the grid size; and (3) comparison with an independent algorithm. For the first of these tests, a cubic phantom of side 30 cm was defined, containing a cubic volume of side 6 cm at the centre. A dose distribution consisting of eight cubic octants, each with a dose of between 10 Gy and 80 Gy, in discrete intervals of 10 Gy, was created externally from the planning system using custom software. The dose distribution was then imported into the planning system. The DVH was computed on a grid with 4 mm x 4 mm x 4 mm spacing, which was a typical clinical setting. Since the volume of interest was positioned centrally, the expected result was that one eighth of the structure would receive 10 Gy, one eighth would receive 20 Gy, and so on. The structure was then shifted in various directions by either 2 mm or 4 mm, to observe the influence on the DVH of the position of the structure relative to the dose grid. Although this was an artificial test, it enabled a thorough examination of the DVH algorithm, providing greater precision than was possible by simple interaction with the treatment planning system. This type of approach was taken by Jacky and White [18] for testing a complete radiotherapy treatment planning system.
The second test was to contour three concentric spherical volumes of interest, with diameters of 6 cm, 8 cm and 10 cm, respectively. Four treatment fields, each of size 5 cm x 5 cm, were defined at gantry angles of 0°, 90°, 180° and 270°. DVHs were then calculated on a grid with 4 mm x 4 mm x 4 mm spacing. These were then compared with DVHs calculated on a grid with 2 mm x 2 mm x 2 mm spacing, representing a DVH without grid errors. Although this test did not examine the existence of systematic errors in the calculation, it provided a useful estimate of the approximate accuracy of a typical clinical DVH.
The final test was to export the above spherical volumes of interest and dose distribution, and recalculate the DVHs using independent software [19]. Grid spacing was 4 mm x 4 mm x 5 mm for this test.
Comparisons with a second treatment planning system
In commissioning the new treatment planning system, it was important to be aware of any possible changes in calculated dose and prescribed monitor units arising from the transition between the previous system, upon which clinical experience had been built, and the new one. Hence, in-house software was written to allow CT scans and outline sets to be transferred from the Target-2 treatment planning system (Prism Microsystems, Borehamwood, UK) previously used at the Royal Marsden NHS Trust, to Pinnacle3. This facilitated the comparison of treatment plans between the two systems. By specifying identical monitor units on both treatment planning systems, both absolute dosimetry and dose distributions were compared. Target-2 used a BentleyMilan dose calculation based directly upon measured beam data, in conjunction with CT-corrected radiological path length [20]. The collapsed cone convolution technique was used for Pinnacle3 [21, 22].
Comparison of planned and delivered dose for simulated clinical cases using thermoluminescent dosemeters
To test the overall performance of the treatment planning system, two treatment plans were created for an anthropomorphic phantom, the plans were delivered, and the planned and measured dose distributions compared. This approach was also used by McCullough and Krueger [23]. The present study was carried out for two simulated clinical cases: a pelvic (prostate) treatment and a thoracic (oesophagus) treatment. An Alderson Rando phantom was CT scanned and simulated clinical target volumes were delineated using Pinnacle3. A 3D margin of 10 mm was applied to the prostate volume and a 3D margin of 15 mm was applied to the oesophagus volume, to provide planning target volumes. The prostate case was then planned using three 6 MV fields, with gantry angles of 0°, 90° and 270° [24, 25]. The three fields were conformally shaped to the beam's eye view (BEV) of the planning target volume, with a margin of 6 mm allowed for penumbra. The fields were weighted 0.5: 0.25: 0.25 (anterior: left: right) at the isocentre, with universal wedges being applied to the lateral fields. The oesophagus case was planned using four 6 MV fields, with gantry angles of 0°, 100°, 180° and 260°. The fields were rectangular, with a 6 mm margin being allowed between the field edge and the BEV of the planning target volume [26]. Straight-edged blocks were used on the corners of the posterior oblique fields to shield the spinal cord. The fields were weighted 0.3: 0.2: 0.3: 0.2 (anterior: left posterior oblique: posterior: right posterior oblique), and no wedges were used.
Lithium fluoride thermoluminescent dosemeters (TLD) were used to verify the planned dose distributions. The TLDs were individually calibrated, using the method described by Mayles et al [27]. By delivering a prescribed dose of 1 Gy, the TLD doseresponse relationship could be taken as linear. The measured doses were corrected according to the output of the linear accelerator at the time of measurement, relative to its reference output.
Comparison of planned and delivered dose for simulated clinical cases using ionization chambers (national trial comparisons)
Our centre participated in the quality assurance procedures for the START (STAndardisation of RadioTherapy) breast trial [28, 29] and Medical Research Council RT-01 prostate dose escalation trial [30]. This entailed creating standard plans, as used at this centre, for each of the treatment sites, i.e. a tangential wedged plan for the START trial and a three-field MLC plan for the RT-01 trial. These plans were then delivered to anthropomorphic phantoms and the dose measured using ionization chambers.
Quality assurance of digitally reconstructed radiographs
Attention was given to digitally reconstructed radiographs (DRRs) since these were to be used as the standard for verifying patient position. A simulated cuboidal water phantom with an off-centre cuboidal cavity of lung-equivalent density was digitized into the treatment planning system, together with planning target volume (PTV) and heterogeneity outlines. The principal dimensions of DRRs and BEVs of the phantom, with respect to the central axis of an applied field, were then measured and compared with manually calculated dimensions. The DRRs were then compared with BEVs for cardinal beam angles, together with several less regular angles. DRRs were also evaluated at several source-to-film distances. DRRs for a conformally blocked brain plan and an MLC prostate plan were also compared with corresponding BEVs.
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Results
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Beam data measurement
The percentage difference between depth doses measured using an ionization chamber and a photon diode detector on the central axis of a 10 MV beam is shown as a function of field size in Figure 1
. It can be seen that the errors are less than the measurement noise for field sizes up to 20 cm x 20 cm. Even for field size 40 cm x 40 cm, the largest difference is just over 1% at depths less than 10 cm. For wedges, the difference increases to 2% at the maximum field size of 30 cm x 40 cm. The differences between ionization chamber and diode are larger in the buildup region, possibly due to geometrical and positioning discrepancies.

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Figure 1. Differences between depth dose curves measured with an ionization chamber and an energy-compensated photon diode for a 10 MV beam. Results are shown for 10 cm x 10 cm (bold line) 20 cm x 20 cm (feint line) and 40 cm x 40 cm (broken line) field sizes. The differences are percentages of maximum dose, and a positive difference indicates that the ionization chamber records a higher dose than the diode. Large differences are seen in the build-up region, but thereafter the differences are comparable with the magnitude of the noise in the respective measurements.
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Use of Monte Carlo generated accelerator data
The electron sources for the 6 MV and 10 MV beams of an Elekta SL15 accelerator, derived from the Monte Carlo simulations, are quasi-Gaussian energy distributions with mean energies 6.0 MeV and 9.4 MeV, respectively, with a standard deviation of 0.4 MeV. The diameter of the electron beam at the target is 1.0 mm. Photon spectra for these beams, generated by Monte Carlo simulation, are shown in Figure 2a
, where the energy bins of the photons are equally spaced at 0.1 MeV. However, the spectra used in Pinnacle3 are based upon a discrete set of kernels, which are not equally spaced in energy. If the values generated by Monte Carlo simulation were to be simply entered into Pinnacle3 without adjustment, the effect would be that at the higher energies, where there are fewer bins, there would appear to be fewer photons than there really were. The spectra from Monte Carlo simulation must therefore be rebinned before use, and these rebinned spectra are shown in Figure 2b
. The discontinuities in the rebinned spectra occur because the spectrum in Figure 2a
represents the number of photons per 0.1 MeV energy range, whereas the spectrum in Figure 2b
represents the total number of photons in each energy bin. In Pinnacle3, the energy bins are 0.1 MeV wide up to 0.6 MeV, then 0.2 MeV wide up to 1.0 MeV, then 0.25 MeV wide up to 1.5 MeV, etc. Thus, each time the bin width increases, the number of photons throughout that increased energy range increases accordingly. Hence, the spectrum in Figure 2b
is similar to that in Figure 2a
up to 1 MeV (apart from rescaling), but then rises considerably as the curve is weighted by the increasing energy bin width.

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Figure 2. (a) The energy spectra of the 6 MV and 10 MV beams of an Elekta SL15 linear accelerator (Elekta, Crawley, UK) as generated by Monte Carlo simulation, using energy bins all 0.1 MeV in width. (b) The spectra rebinned for use in Pinnacle3 (Philips Radiation Oncology Systems, Milpitas, CA), with the unequally spaced energy bins depicted along the top of the graph.
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To model the beam profile, there are three parameters available in Pinnacle3. The first two of these parameters are the radius and steepness of a rotationally symmetrical fluence distribution, which increases in magnitude from the central axis towards the outside of the field. This conical fluence distribution simulates the effect of the beam flattening filter and adjusts the prominence of the beam "horns". The third factor adjusts the off-axis softening due to the flattening filter [11, 13] (see above). In Figure 3
, the primary fluence as simulated by Monte Carlo methods is shown for field sizes 4 cm x 4 cm, 10 cm x 10 cm and 40 cm x 40 cm. For the smaller field sizes, the fluence increase is very small, whereas for the 40 cm x 40 cm field size, the fluence increase as found by linear fit is 0.018 cm-1. However, the fluence increase which must be specified within Pinnacle3 to fit the measured dose profiles is only 0.004 cm-1 for the large field size. This difference must reflect the use of an empirical accelerator model within Pinnacle3. The model of beam softening only allows the beam energy to vary as a linear function of the angular distance from the central axis. However, as can be seen in the Monte Carlo simulations of the off-axis softening, the average energy does approximately reduce linearly (Figure 4a
).

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Figure 3. The Monte Carlo generated primary fluence at the exit of the accelerator head for 6 MV fields of size 4 cm x 4 cm, 10 cm x 10 cm and 40 cm x 40 cm. The off-axis fluence increase can be represented by the straight lines shown. Results are shown for X- (heavy lines) and Y- (feint lines) directions.
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Figure 4. (a) Mean photon energy as a function of off-axis distance, calculated by Monte Carlo simulation for the 6 MV (solid line) and 10 MV (broken line) beams of an Elekta SL15 accelerator (Elekta, Crawley, UK). The energy reduction is approximately linear. (b) Electron contamination for the 6 MV beam of an Elekta SL15 accelerator, as modelled by Monte Carlo simulation. The solid curve is the electron contamination predicted by Monte Carlo simulation, while the broken curve represents the formula available in Pinnacle3 (Philips Radiation Oncology Systems, Milpitas, CA), with the parameters fitted to the Monte Carlo curve. The equation for the fitted curve is: , where Fd (d, s) is the electron contamination factor as a function of depth d and field size s, Fs (s) is the dependence of electron contamination on field size, k is a constant, and dme is the maximum depth at which electron contamination occurs. SF is the ratio of electron contamination at the surface to that described by the above equation at d=0. Fs (s)=0.06, SF=0.6, k=1.3, and dme=2.2 cm. At depths less than DF.dme, where DF=0.2, the curve is linear, such that the surface dose is Fs (s).
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In Pinnacle3, the dose in the build-up region is calculated by adding the electron contamination dose to the convolved photon dose near to the surface of the object. The electron contamination dose has therefore been extracted from the Monte Carlo data, and used to obtain the shape of the "electron contamination" in Pinnacle3. In Figure 4b
, the electron contamination, as simulated by a Monte Carlo method, is shown with a curve fit for input into Pinnacle3, i.e. the Monte Carlo simulated curve has been fitted with the parameters available in Pinnacle3 at depths below the maximum depth of electron contamination. Appropriate values of surface fraction (SF) and depth fraction (DF) have then been applied to create the linear part of the fitted curve near to the surface (less than 0.5 cm). However, in Pinnacle3, the electron contamination at the surface required to account for the difference between photon dose and measured dose is approximately 25% of the maximum dose. This is about 10 times higher than that predicted by Monte Carlo simulation. It is therefore evident that the electron contamination parameters within Pinnacle3 account for other effects beside true electron contamination. Hence, in using the result of Figure 4b
, the magnitude of the electron contamination has been manipulated to fit the measured data.
Beam model accuracy
Using the comparison tools supplied with Pinnacle3, most dose distributions calculated using the Monte Carlo simulated and auto-modelled beam parameters match the measured data to within ±2%, with slightly larger discrepancies of up to ±5% observed at the peak of the dose profile for wedges. This is in accord with TG53 recommendations [3]. Absolute output measurements carried out for a range of field sizes at SSDs between 90 cm and 120 cm all show agreement with calculated values to within 2%. In addition, absolute measurements performed at SSD 441 cm, to evaluate the possibility of using Pinnacle3 for total body irradiation at extended SSD, show an agreement with calculations still within 2%.
Small-field beam model
Computed dose distributions agree with measurements to within (and in most cases significantly better than) the TG53 example acceptability criteria. Central axis depth doses for all beams (including blocked and wedged) agree with diode measurements to within 10%, 3% and 1% beyond depths of 1.5 mm, 5 mm and 10 mm, respectively. For unblocked fields, computed profiles agree with measurements to within ±1% in the in-field region, a 11.5% discrepancy for up to 5% of the open in-field profile width being observed in about 10% of the measurements at 20 cm depth. The corresponding discrepancy in approximately 30% of 20 cm deep, unblocked wedge profiles is 12% for up to 25% of the in-field profile length. Greater importance has been given to depths less than 20 cm in the modelling process as the 20 cm depth has less relevance in brain treatments. The maximum discrepancy in open beams is 1.5% while the peaks of unblocked wedge profiles show a maximum 3% disagreement. Figure 5
shows a computed planar dose distribution from an irregular block aperture compared with that measured using film. The block shape has been digitized from the 50% isodose contour on the film. Having matched the 50% isodoses, the 10%, 20%, 80% and 95% isodoses agree in most places to within 0.5 mm, the maximum difference being approximately 1.0 mm. In general, isodose lines in computed planar dose distributions for individual blocked fields are within 1 mm of film measurements. The agreement between calculated and measured blocked/unblocked dose ratio at the isocentre is ±0.4% or better for the range of blocks tested.

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Figure 5. Planar dose distribution from an irregular block aperture computed using the small-field beam model (broken lines) compared with film measurement (solid lines). The large grid squares represent 2 cm. Both distributions are normalized on the central axis at the measurement depth (5 cm in water-equivalent material). The block shape has been digitized from the 50% isodose contour on the film in order to remove the uncertainties due to block production and light/radiation field disagreement.
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Assessment of heterogeneity correction
Results are presented in Figure 6
for 5 cm x 5 cm 10 MV fields delivered to layered inhomogeneous materials at gantry angle 5°. The depth dose results for lung (Figure 6a
) show good agreement between Pinnacle3 and measurements both in and beyond the lung region. The treatment planning system takes into account the loss of scatter in the low density inhomogeneity (correction factor less than unity) and correctly predicts the increased dose (correction factor greater than unity) beyond the inhomogeneity due to reduced equivalent path length. The results for bone (Figure 6b,c
) show poorer agreement in the inhomogeneity itself. In particular, Pinnacle3 does not seem to take account of the increased scatter in the bone, and this is particularly noticeable in the more dense bone (Figure 6c
). However, extended regions of such dense bone are not often seen in clinical practice. Beyond the bone, which is more clinically applicable, the agreement between Pinnacle3 and measurements is good, with the planning system correctly accounting for the increased equivalent path length (correction factor less than unity). Figure 6d
shows the inhomogeneity correction factor at different distances beyond lung for both 6 MV and 10 MV beams at gantry angle 0°. These results show that the differences between calculated and measured values are less than 2%.

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Figure 6. Ratios between depth dose curves with and without heterogeneities for (a) lung, (b) 1.35 g cm-3 bone, and (c) 1.85 g cm-3 bone. The shaded region in each graph shows the position of the inhomogeneity. Measurements with film (squares) and ionization chamber (circles) are compared with calculated values (lines). All measurements are for a 5 cm x 5 cm 10 MV field at gantry angle 5°. (d) Ratios between doses with and without heterogeneities at various distances beyond a region of lung density. Measurements using an ionization chamber are compared with calculated values for 6 MV and 10 MV beams with gantry angle 0°.
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Results are given in Figure 7
for 5 cm x 5 cm fields delivered to the CT phantom. It can be seen that the measured dose agrees with the calculated dose to within 2.5%. These results are representative of other similar comparisons.

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Figure 7. Differences between calculated and measured doses at the centre of the in-house inhomogeneity phantom for 6 MV and 10 MV open beams on three SL-series linear accelerators, LA 1, LA 2 and LA 3. Differences are shown for fields passing through 0.28 g cm-3 lung, 1.35 g cm-3 bone and 1.85 g cm-3 bone. A positive difference indicates that Pinnacle3 predicts a higher dose than is actually measured. The differences between Pinnacle3 and measurements in water have been subtracted from the results, so that the figure represents the differences due to inhomogeneities only, rather than differences due to the beam models.
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Assessment of dosimetry for oblique, asymmetric and irregular field shapes
Table 1
compares measured and calculated dose for oblique MLC fields delivered to a square phantom. The measured and calculated doses are found to agree to within 0.5%. Table 2
shows measured and calculated dose for irregular fields whose shapes were comparable with those described in TG53 [3]. Figure 8
shows the correspondence of calculated and measured isodoses for a diagonal MLC field. The agreement of the 50%, 80% and 95% isodoses is within 1 mm. A larger discrepancy occurs at lower doses, due to the low dose gradient. In this region, the treatment planning system predicts a lower background radiation beneath the MLC leaves than is measured, the difference being around 3%. Since the measured isodoses are similar to those planned, MLC fields can be fitted to the planning target volume with confidence. Other similar comparisons show comparable results.
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Table 1. Calculated and measured dose for four oblique 10 cm x 10 cm 6 MV fields, shaped by multileaf collimator. A positive difference indicates that Pinnacle3 (Philips Radiation Oncology Systems, Milpitas, CA) calculates a higher dose than is actually measured
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Table 2. Calculated and measured dose for three irregular field shapes. A positive difference indicates that Pinnacle3 (Philips Radiation Oncology Systems, Milpitas, CA) calculates a higher dose than is actually measured
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Figure 8. Calculated (broken lines) and measured (solid lines) isodoses for a diagonal multileaf collimator (MLC) field. The MLC leaves project downwards from the upper right hand corner of the figure. The isodoses are normalized to the central axis of the field. The graduations represent 1.0 cm.
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Quality assurance of dosevolume histograms
The DVH resulting from an artificial dose distribution comprised of eight octants is shown in Figure 9a
. The centrally positioned volume receives eight distinct doses, each occupying approximately 12.5% of the volume of the cubic structure, as expected. A small volume of the structure receives doses in between the discrete levels of 10 Gy, 20 Gy, etc. i.e. slight gradient on the DVH between these doses, probably due to interpolation of the dose distribution within the treatment planning system. Absence of dose between 40 Gy and 50 Gy, i.e. DVH horizontal between 40 Gy and 50 Gy, suggests that this interpolation occurs only between doses on a given CT slice, not between. This is because regions with 10 Gy, 20 Gy, 30 Gy and 40 Gy are located inferiorly within the cubic structure, and regions receiving 50 Gy, 60 Gy, 70 Gy and 80 Gy are located superiorly. Interpolation between doses on different CT slices would therefore yield values between 40 Gy and 50 Gy.

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Figure 9. (a) Dose-volume histogram (DVH) for a dose distribution comprised of eight uniform regions, calculated with a voxel size of 4 mm x 4 mm x 4 mm. The region of interest is placed centrally (heavy line), or displaced 2 mm laterally and 2 mm posteriorly (feint line). (b) DVHs for spherical structures of 6 cm, 8 cm and 10 cm diameter, calculated using either a 4 mm x 4 mm x 4 mm grid spacing (heavy lines) or a 2 mm x 2 mm x 2 mm grid spacing (feint lines). (c) DVHs for spherical structures of 6 cm, 8 cm and 10 cm diameter, calculated using Pinnacle3 (heavy lines) and an independent program (feint lines). Grid size is 4 mm x 4 mm x 5 mm.
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When the region of interest is moved either 2 mm or 4 mm laterally, or 2 mm laterally and 2 mm posteriorly (this latter situation is shown in Figure 9a
), corresponding to either a half or a whole voxel, the DVHs are modified by up to 2%, the precise details being governed by the handling of the voxels within Pinnacle3. This test therefore gives confidence that the DVH calculation, although inevitably affected by the finite size of the voxels, provides an accurate result.
Figure 9b
shows the comparison of DVHs using 4 mm x 4 mm x 4 mm grid spacing with those using 2 mm x 2 mm x 2 mm. Taking the DVH produced with the finer resolution to be the standard, this figure shows that errors of up to 5% dose or volume can occur. However, the previous test indicates that this is simply due to the effect of finite grid spacing, rather than any form of error.
Finally, Figure 9c
gives the comparison of DVHs produced by Pinnacle3 and by an independent program. Again, differences of up to 5% dose and volume are observed, due to the finite size of the voxels, and probable differences in handling of the voxels between the two independent calculations.
Comparisons with a second treatment planning system
Table 3
shows a summary of isocentric doses calculated by Target-2 and Pinnacle3 for a range of tumour sites and treatment techniques, occurring in a range of patients. It can be seen that the doses are generally within 2%, but with a few excursions beyond this. The breast treatments differ most between the two planning systems, with Pinnacle3 always calculating a lower dose. This is due to Pinnacle3 taking into account the lack of surrounding tissue in its convolution dose calculation, whereas Target-2 simply applies a pixel-by-pixel equivalent path length correction to the dose calculation point. No changes to clinical prescriptions have been made as a result of these data.
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Table 3. Comparison of calculated isocentric dose between Target-2 (Prism Microsystems, Borehamwood, UK) and Pinnacle3 (Philips Radiation Oncology Systems, Mipitas, CA) treatment planning systems for various patients. A positive difference indicates that Pinnacle3 calculates a larger dose
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Comparison of planned and delivered dose for simulated clinical cases using TLD
Figure 10a
shows the results of the pelvic treatment verification using TLD. The mean difference between the planned and delivered doses is 0.1±3.0% (1 standard deviation) of the isocentric dose, confirming that there is no systematic difference. The largest single difference is 8%, although this must be interpreted in relation to the accuracy of the TLDs. A 2% standard deviation is observed in the calibration TLDs, after correction for individual chip sensitivity.

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Figure 10. TLD verification of (a) pelvic and (b) thoracic treatment plans using an anthropomorphic phantom. Differences between calculated and measured doses are given as percentages of the isocentric dose. A positive difference indicates that Pinnacle3 predicts a higher dose than is actually measured.
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For the thoracic treatment, the results of the 40 verification TLDs are shown in Figure 10b
. The mean difference between the planned and delivered doses is 0.7±2.2%, and the largest individual difference is again 8%, although most differences are significantly less than this.
Comparison of planned and delivered dose for simulated clinical cases using ionization chambers (national trial comparisons)
The dose measured at any point within the START trial phantom is always within 2.5% of the dose predicted by Pinnacle3 (Figure 11a
). The largest errors are seen near the inhomogeneous lung insert. However, these results are very acceptable. Note that these measurements are included with those for other centres in reference [29].

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Figure 11. Differences between calculated and measured doses for national trial phantoms. (a) The START trial phantom [29], showing results for reference, lung, medial and apex points. A positive difference indicates that Pinnacle3 predicts a higher dose than is actually measured. Position relative to the central slice increases superiorly. (b) The RT-01 trial phantom. The error bars represent the maximum and minimum doses calculated by Pinnacle3 within a region of radius 4 mm around the point of interest, indicating the possible influence of positioning errors on the results, particularly in the penumbra, e.g. points CRECT and IRPTV. The first letter of each abbreviation represents the superior/inferior position: SBLAD, superior bladder; SRPTV, superior right PTV; SRECT, superior rectum; SSVL, superior seminal vesicles; CREF, central reference point; CBLAD, central bladder; CRPTV, central right PTV; CLPTV, central left PTV; CRECT, central rectum; CFMLT, central left femoral head; IAPEX, inferior apex of prostate; IRPTV, inferior right PTV; IRECT, inferior rectum.
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Figure 11b
shows the differences between measured and calculated doses within the RT-01 quality assurance phantom. In this case, the differences are greater, but many of the points of interest lie within the region of high dose gradient. These differences are therefore almost certainly due to small positioning errors when irradiating the phantom.
Quality assurance of digitally reconstructed radiographs
All evaluated BEVs and DRRs agree with manual calculations to within ±1 mm. The DRRs also agree with the BEVs to within ±1 mm. This aspect of the treatment planning system is therefore found to be acceptable.
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Discussion
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The procedures and tests required for commissioning a treatment planning system are largely independent of which system is being commissioned, so that reports such as TG53 give general guidelines that can be followed by all centres. This paper therefore describes procedures that are set out in such publications. However, the performance of the Pinnacle3 treatment planning system is not yet widely appreciated, particularly for the Elekta linear accelerator, and this paper accordingly presents a new perspective.
In addition to standard commissioning procedures, it has been possible to carry out further work that provides confidence in the treatment planning system. This includes (1) generation of beam parameters using Monte Carlo data, (2) use of auto-modelling facilities within Pinnacle3, (3) testing of DVHs using precise tests and independent programs, and (4) comparison of Pinnacle3 against a well established treatment planning system. It has also been possible to include results of standard tests carried out as part of national trials. This work complements the procedures given in TG53, providing additional confidence in the use of Pinnacle3.
The use of Monte Carlo simulation significantly assists in generating an accurate model within Pinnacle3. However, there are still several parameters in Pinnacle3 that are a combination of physical factors and parameters to make the model fit the measured data. It would be desirable to have a physical basis for all the parameters used in the Pinnacle3 planning system, although this may not be realistically achievable.
The auto-modelling utility provided with Pinnacle3 has been found to be very useful. This allows the user to generate beam models conveniently, and to an accuracy with which they are satisfied. Although the final models are somewhat different to those produced through the application of Monte Carlo methods, the accuracy is comparable.
For each linear accelerator and beam energy, at least two beam models have been used: one for the open fields and one for the wedged fields. For two machines, four models were used for the open fields, corresponding to field sizes of 3 cm x 3 cm, 10 cm x 10 cm, 20 cm x 20 cm and 40 cm x 40 cm. This has provided improved accuracy over the range of field sizes. Most of the models are for an SSD of 90 cm. This is a sensible arrangement because this SSD is fairly typical for a variety of clinical isocentric treatments. Accuracy of dose at other SSDs then relies on the ability of Pinnacle3's machine model to extrapolate accurately. We have verified the doses calculated at other SSDs for one linear accelerator and found the result to be acceptable. In general, the accuracy of the beam model is slightly variable over the four accelerators modelled. This experience has also been reported by Kermode et al [31] when commissioning a different treatment planning system. This probably represents the limitation of the beam model in representing the geometry and output of the linear accelerator.
Stereotactically guided conformal radiotherapy of small brain tumours demands a highly accurate dose calculation model to match the steps taken in the other processes during the design and delivery of a high-precision treatment. The fact that the effort in modelling the small-field machine data could be concentrated on a limited set of treatment parameters (limited field size range and single energy and method of field shaping) has meant that a model that is clinically acceptable for such treatments has been achieved in a practical time scale.
In general, the TPS has been commissioned to within the tolerances specified by TG53 [3]. However, even using such a sophisticated planning system as Pinnacle3, there are inevitably small regions of dose profiles that lie outside of the recommended tolerance. Complete fulfilment of all criteria within TG53 would require an impractical length of time for commissioning. Venselaar et al [5] also made the same conclusion and introduced the concept of confidence interval, in which 6.5% of dose test results were allowed to lie outside of this range. Although this criterion has not been followed in detail in the present commissioning, the results approximately satisfy it. One area where dose accuracy could be improved is in the build-up region. Here, in order to achieve an accurate prediction of dose, the maximum depth of electron contamination must be set to an unrealistically high value, compared with both Monte Carlo simulations and other measurements [32]. The parameters within Pinnacle3 evidently include other effects besides electron contamination. Dose profiles for wedged fields could also be improved. The current Pinnacle3 model assumes a single axial profile for the wedge shape, whereas in reality, the wedge is a multifaceted device. Hence, part of the wedge profile is modelled as off-axis fluence increase. This may limit the accuracy of wedged field calculations.
Assessment of 3D treatment plans is increasingly based upon DVHs and confidence in their accuracy is therefore important. However, checking the accuracy of a DVH is difficult due to the difficulty in determining the expected result, when the histogram is based upon a continuous distribution of dose. To date, the only practical method has been to choose a structure whose shape is constant in the superiorinferior direction, and then to apply fields that are long in the superiorinferior direction, and therefore approximately constant along the length of the structure, thereby reducing the problem to a two-dimensional one. Volumes and doses can then be calculated by measuring regions between isodose lines [33]. However, this is not very accurate due to the assumptions made regarding the dose distribution along the length of the structure and due to the difficulty of measuring isodose lines. Results are therefore given of more detailed examinations intended to assess accurately the performance of the DVH algorithm.
The comparison with the well-established Target-2 treatment planning system has revealed no significant systematic differences between isocentric doses for the two systems. Since the Target-2 system is based upon beam data measured on a previous occasion, the correspondence between the doses calculated by both systems gives confidence in the beam data and calculation results in the present commissioning. The lower isocentric doses predicted by Pinnacle3 for breast plans are taken to be a reflection of the superior accuracy of its scatter calculation, rather than inaccuracy, which is also confirmed with the START measurements in this paper and measurements reported elsewhere [34]. The comparison of Pinnacle3 with results obtained from TLD measurements in a humanoid phantom also provide additional confidence. Although differences of up to 8% between calculated and measured dose are observed in specific regions, the differences are generally much less than this, and there is no systematic difference. Similarly, the comparisons of Pinnacle3 with measurements in the START and RT-01 phantoms using ionization chambers show excellent agreement.
This paper describes the clinical commissioning of the Pinnacle3 planning system for traditional and conformal techniques. Further work is underway to commission the planning system for intensity-modulated radiotherapy using multiple static fields. In this case, the accuracy of the inverse planning module, the suitability of field segments, and the dosimetric accuracy of the computed dose distributions relative to measurements in realistic phantoms, must all be taken into account. The commissioning described in this paper is expected to provide a foundation for this work.
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Acknowledgments
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A number of physicists contributed to the commissioning and quality assurance of the Pinnacle3 treatment planning system, including Ms E Donovan, Ms S Reise, Mrs N Bleackley, Ms E Adams, Dr C Hector and Mr C South, to whom we are grateful. We also thank the START and RT-01 teams for their contributions to the work on national trial comparisons.
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Footnotes
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This work was generously supported by Cancer Research UK (programme grant reference SP2312/0201), Philips Radiation Oncology Systems and the Children's Cancer Unit of the Royal Marsden NHS Trust. 
Received for publication April 23, 2002.
Revision received August 30, 2002.
Accepted for publication September 26, 2002.
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References
|
|---|
- McNee SG, Rampling R, Dale AJ, Gregor A. An audit of 3D treatment planning facilities and practice in the UK. Clin Oncol 1998;10:1823.[CrossRef]
- Burnet NG. Three-dimensional treatment planning for radiotherapy. Clin Oncol 1998;10:12.
- Fraass B, Doppke K, Hunt M, Kutcher G, Starkschall G, Stern R, et al. American Association of Physicists in Medicine Radiation Therapy Committee Task Group 53: quality assurance for clinical radiotherapy treatment planning. Med Phys 1998;25:1773829.[CrossRef][Medline]
- Van Dyk J, Barnett RB, Cygler JE, Shragge PC. Commissioning and quality assurance of treatment planning computers. Int J Radiat Oncol Biol Phys 1993;26:26173.[Medline]
- Venselaar J, Welleweerd H, Mijnheer B. Tolerances for the accuracy of photon beam dose calculations of treatment planning systems. Radiother Oncol 2001;60:191201.[CrossRef][Medline]
- Venselaar J, Welleweerd H. Application of a test package in an intercomparison of the photon dose calculation performance of treatment planning systems used in a clinical setting. Radiother Oncol 2001;60:20313.[CrossRef][Medline]
- Knöös T, Ceberg C, Weber L, Nilsson P. The dosimetric verification of a pencil beam based treatment planning system. Phys Med Biol 1994;39:160928.[CrossRef][Medline]
- Westermann CF, Mijnheer BJ, van Kleffens HJ. Determination of the accuracy of different computer planning systems for treatment with external photon beams. Radiother Oncol 1984;1:33947.[Medline]
- Whilde NJ, Conway J, Bomford CK. Technical note: the development of quality assurance for Sheffield's radiotherapy treatment planning systems. Br J Radiol 1993;66:11825.[Abstract]
- The Institution of Physics, Engineering in Medicine, Biology. Report No. 68: A guide to commissioning and quality control of treatment planning systems. Shaw JE, editor. York, UK: IPEM, 1994.
- Starkschall G, Steadham RE, Popple RA, Ahmad S, Rosen II. Beam-commissioning methodology for a three-dimensional convolution/superposition photon dose algorithm. J Appl Clin Med Phys 2000;1:827.[Medline]
- Lord C, Warrington AP. A combined CT quality assurance and radiotherapy dosimetry phantom. In: Proceedings of The Third Biennial Radiotherapy Physics Meeting of The Institution of Physics and Engineering in Medicine and Biology; 1996 September 1112; Leeds. York, UK: IPEM, 1996:27.
- ADAC Laboratories. Pinnacle3 Physics Guide: External Beam and Brachytherapy Physics, P/N 9201-2048A Rev. A (Version 4.2). Milpitas, CA: ADAC Laboratories, 1999:5-25-12.
- De Vlamynck K, Palmans H, Verhaegen F, De Wagter C, De Neve W, Thierens H. Dose measurements compared with Monte Carlo simulations of narrow 6 MV multileaf collimator shaped photon beams. Med Phys 1999;26:187482.[Medline]
- Hansen VN, Verhaegen F, Mosleh-Shirazi MA, Childs P. The use of Monte Carlo generated accelerator data in the photon model of the Pinnacle planning system. Radiother Oncol 2001;61:S21.[CrossRef]
- Kappas C, Rosenwald J-C. Quality control of inhomogeneity correction algorithms used in treatment planning systems. Int J Radiat Oncol Biol Phys 1995;32:84758.[Medline]
- Rice RK, Mijnheer BJ, Chin LM. Benchmark measurements for lung dose corrections for x-ray beams. Int J Radiat Oncol Biol Phys 1988;15:399409.[Medline]
- Jacky J, White CP. Testing a 3-D radiation therapy planning program. Int J Radiat Oncol Biol Phys 1990;18:25361.[Medline]
- Bedford JL, Khoo VS, Webb S. An inverse treatment planning scheme for conformal radiotherapy. In: Allen R, Fleming JS, Petley GW, editors. Proceedings of the sixth Annual Scientific Conference of the Institute of Physics and Engineering in Medicine; 2000 September 1214; Southampton. York UK: IPEM, 2000:26.
- Milan J, Bentley RE. The storage and manipulation of radiation dose data in a small digital computer. Br J Radiol 1974;47:11521.[Medline]
- Mackie TR, Scrimger JW, Battista JJ. A convolution method of calculating dose for 15-MV x rays. Med Phys 1985;12:18896.[CrossRef][Medline]
- Ahnesjö A. Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous media. Med Phys 1989;16:57792.[CrossRef][Medline]
- McCullough EC, Krueger AM. Performance evaluation of computerized treatment planning systems for radiotherapy: external photon beams. Int J Radiat Oncol Biol Phys 1980;6:1599605.[Medline]
- Khoo VS, Bedford JL, Webb S, Dearnaley DP. An evaluation of three-field coplanar plans for conformal radiotherapy of prostate cancer. Radiother Oncol 2000;55:3140.[Medline]
- Bedford JL, Khoo VS, Warrington AP, Bidmead AM, Webb S, Dearnaley DP. A comparison of multileaf collimator with conformal blocks for the boost phase of dose-escalated conformal prostate radiotherapy. Radiother Oncol 2001;59:4550.[Medline]
- Bedford JL, Viviers L, Guzel Z, Childs PJ, Webb S, Tait DM. A quantitative treatment planning study evaluating the potential of dose escalation in conformal radiotherapy of the oesophagus. Radiother Oncol 2000;57:18393.[Medline]
- Mayles WPM, Heisig S, Mayles HMO. Treatment verification and in vivo dosimetry. In: Williams JR, Thwaites DI, editors. Radiotherapy Physics in Practice. Oxford, UK: Oxford University Press, 1993:22751.
- Venables K., Winfield E, Deighton A, Aird E, Hoskin P. A survey of radiotherapy quality control practice in the United Kingdom for the START trial. Radiother Oncol 2001;60:31118.[Medline]
- Venables K, Winfield E, Deighton A, Aird E, Hoskin P, on behalf of the START Trial management group. The START Trial measurements in semi-anatomical breast and chest wall phantoms. Phys Med Biol 2001;46:193748.[CrossRef][Medline]
- Seddon B, Bidmead M, Wilson J, Khoo V, Dearnaley D. Target volume definition in conformal radiotherapy for prostate cancer: quality assurance in the MRC RT-01 trial. Radiother Oncol 2000;56:7383.[Medline]
- Kermode RH, Little BG, Richmond ND, Lawrence GP, Lambert GD. Validation of treatment planning system data: variation in the modelling of three 6 MV beams for extreme rectangular fields. Radiother Oncol 2001;60:32932.[Medline]
- Zhu TC, Palta JR. Electron contamination in 8 and 18 MV photon beams. Med Phys 1998;25:129.[Medline]
- Panitsa E, Rosenwald JC, Kappas C. Quality control of dose volume histogram computation characteristics of 3D treatment planning systems. Phys Med Biol 1998;43:280716.[Medline]
- Kirsner SM, Prado KL, Tailor RC, Bencomo JA. Verification of the accuracy of 3D calculations of breast dose during tangential irradiation: measurements in a breast phantom. J Appl Clin Med Phys 2001;2:14956.[Medline]
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