Abstract
A practical and accurate generalized procedure to reconstruct the isocenter dose for 3D conformal radiotherapy (3DCRT) has been developed for X‐ray open beams supplied by linacs of different manufacturers and equipped with aSi electronic portal imaging devices (aSi EPIDs). This paper reports an extension of the method, to be applied at the wedged X‐ray beams characterized by the wedge attenuation factor .
Using water‐equivalent solid phantoms (SPs) of different thicknesses, w, and photon square fields of sizes, L, the generalized midplane doses and generalized transit signals by 38 beams of six different linacs were determined. The generalized data were fitted by surface equations and used together with the information of the ‘record & verify’ network of the centers. In this manner, for every beam, the reconstruction was obtained in about 25 seconds after the treatment.
To test the in vivo dosimetric procedure, six pelvic treatments that used conformed wedged beams were carried out with three linacs of different manufacturers. For every beam, the comparison between the reconstructed and the computed by the TPS, resulted in an acceptable tolerance level of , estimated for this kind of treatment.
Generally the in vivo dosimetry methods that use EPIDs require: (i) a special effort for the dosimetric commissioning with SPs of different thicknesses, and (ii) extra time for the analysis of the EPID signals. The proposed procedure simplifies the commissioning step and supplies for Varian, Elekta, and Siemens linacs equipped with the aSi EPIDs a quasi‐real time in vivo dosimetry for open and wedged 3DCRT fields.
PACS number: 87.53Xd
Keywords: in vivo dosimetry, real time, generalized procedure, quality assurance, wedged photon beams
I. INTRODUCTION
Recently, overdosages of patients due to the absence of adequate quality controls have been discovered in some radiotherapy centers of the United States of America and reported by the media.( 1 ) Professional training and dosimetric controls could have avoided these accidents. In particular, the in vivo dosimetry could discover the discrepancies between the reconstructed and the expected doses due to pretreatment and intreatment errors. The in vivo dose verification is actually one of the major concerns in radiotherapy, and we believe it will become mandatory in many countries in the future.( 2 ) Some researchers have demonstrated the advantages of reconstructing the delivered dose during the treatment using a 2D array as the amorphous silicon electronic portal imaging device (aSi EPID).( 3 ) The present authors have developed an in vivo dosimetry method for the 3D conformed radiotherapy technique (3DCRT) for open beams based on the ratios between the transit signals measured by aSi EPIDs, and the midplane doses of a water‐equivalent solid phantom (SP).( 4 ) The method has been applied to test head, thorax, pelvic, and breast tumors in radiotherapy treatments.( 4 , 5 )
However all the procedures based on the transit signals by the EPIDs( 6 , 7 , 8 ) require specific measurements with SPs for every beam. Recently, the authors have developed a generalized procedure for the in vivo dosimetric reconstruction at the isocenter point of the 3DCRT that used open photon beams of different linacs characterized by the quality index (herein named TPR). The method can be easily commissioned for linacs manufactured by Varian, Elekta, and Siemens and equipped with aSi EPIDs( 9 ) reducing the measurements with SPs.
The aim of this work was the implementation of the generalized procedure for the 3DCRT wedged beams characterized by the wedge attenuation factor, . A dedicated software that uses the ‘record and verify’ (R&V) network of the center supplied the in vivo dosimetry tests in quasi‐real time.
II. MATERIALS AND METHODS
A. Wedged beams
Table 1 reports same geometric and dosimetric characteristics of the 38 wedged X‐ray beams examined. The beams of 6, 10, and 15 MV were supplied by six linacs operating in five centers:
two Clinac Varian linacs (Varian Medical System, CA), one supplying 6 MV and 10 MV and one supplying 6 MV and 15 MV
two Elekta Precise linacs (Elekta, Stockholm, Sweden) supplying 6, 10 and 15 MV
two Oncor Siemens (Siemens A.G. Erlangen, Germany) one supplying 6 MV, and 10 MV and one supplying 6MV and 15 MV
Table 1.
Linacs | Clinac 2100 Varian | Elekta Precise | Siemens Oncor | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nominal Megavoltage (MV) | 6 | 10 | 15 | 6 | 10 | 15 | 6 | 10 | 15 | ||||||
Range MU/min | 100 | 200 | 300 | 400 a | 500 | 600 | 80 | 160 | 240 | 360 | 400 | 50 | 200 | 300 | 500 |
Wedge Angle (°) | 15 | 30 | 45 | 60 | 60 | 15 | 30 | 45 | 60 | ||||||
Wedgep Position | external | internal | external | ||||||||||||
aSi‐EPIDs Pixel Resolution Pitch (μm) | aS1000 392 | aS500 784 | XRD 1640 AL5 400 | OptiVue 1000ST 800 | |||||||||||
Plate material Thickness Plate (mm) | Copper 1 | Copper 1 | Aluminum 1 | ||||||||||||
SED range (cm) | 110–160 | 158.2–159.5 | 115–160 |
The range MU/min used in clinical routine in the centers are underlined.
The linacs were equipped with aSi EPIDs, based on panels of aSi sensors operating as a two‐dimensional photodiode array. A more detailed description of the functionality and basic properties of such devices is reported in the literature.( 10 , 11 ) The EPIDs included a metal plate that provides some buildup for the photons, and absorbs enough low energy scattered radiation that reduces image quality. A common source‐EPID metal plate distance (SED) equal to 159 cm was used in this work for every linac. The linacs were equipped with multileaf collimators and the X‐ray beams have been calibrated in water‐phantom following the IAEA protocol.( 12 )
Figure 1 shows the central sections of the wedge filters supplied by the three manufactures for their linacs.
The wedged beams were characterized by the wedge attenuation factor( 13 ) , defined for a reference beam at the SAD as the ratio between the doses obtained by an ion chamber at the reference depth in water phantom, measured with the filter (Fig. 2(a)) and without filter (Fig. 2(b)).
(1) |
Generally this factor is obtained during the commissioning measurements in water phantom.
However, in this work the index TPR( 12 ) for each wedge beam was also measured.
Table 2 reports some parameters that characterize the wedged beams supplied by (a) Varian, (b) Siemens, and (c) Elekta linacs. In particular, as a function of the nominal potential MV Table 2 reports, the wedge angles (defined as the angle between the beam central axis and the isodose direction at the , the thickness, t, of the filtered material on the beam central axis, , and the TPR indexes for open and wedged beams.
Table 2.
a) | ||||||||||||||||
Nominal Megavoltage (MV) | 6 | 10 | 15 | |||||||||||||
Wedge Angle (°) | 0 | 15 | 30 | 45 | 60 | 0 | 15 | 30 | 45 | 60 | 0 | 15 | 30 | 45 | 60 | |
t (mm) | – | 6 | 12 | 20 | 25 | – | 6 | 12 | 20 | 25 | – | 6 | 12 | 20 | 25 | |
|
– | 0.775 | 0.620 | 0.492 | 0.403 | – | 0.804 | 0.668 | 0.521 | 0.428 | – | 0.819 | 0.684 | 0.523 | 0.429 | |
TPR | 0.668 | 0.677 | 0.682 | 0.689 | 0.695 | 0.738 | 0.740 | 0.744 | 0.745 | 0.739 | 0.762 | 0.767 | 0.770 | 0.765 | 0.767 | |
b) | ||||||||||||||||
Nominal Megavoltage (MV) | 6 | 10 | 15 | |||||||||||||
Wedge Angle (°) | 0 | 15 | 30 | 45 | 60 | 0 | 15 | 30 | 45 | 60 | 0 | 15 | 30 | 45 | 60 | |
t (mm) | – | 9 | 16 | 34 | 30 | – | 9 | 16 | 34 | 30 | – | 9 | 16 | 34 | 30 | |
|
– | 0.692 | 0.530 | 0.323 | 0.357 | – | 0.735 | 0.588 | 0.386 | 0.418 | – | 0.752 | 0.607 | 0.404 | 0.438 | |
TPR | 0.675 | 0.685 | 0.691 | 0.700 | 0.695 | 0.747 | 0.755 | 0.763 | 0.760 | 0.768 | 0.773 | 0.773 | 0.774 | 0.770 | ||
c) | ||||||||||||||||
Nominal Megavoltage (MV) | 6 | 10 | 15 | |||||||||||||
Wedge Angle (°) | 0 | 60 | 0 | 60 | 0 | 60 | ||||||||||
t (mm) | – | 24.6 | – | 24.6 | – | 24.6 | ||||||||||
|
– | 0.276 | – | 0.287 | – | 0.286 | ||||||||||
TPR | 0.683 | 0.703 | 0.730 | 0.735 | 0.759 | 0.760 |
In previous papers,( 14 – 16 ) the quality index TPR resulted a good parameter to select the generalized dose at midplane phantom and the transit signals. Indeed, these data showed for every couple of phantom thicknesses, w, and photon square field side, L, a proportional trend as a function of the TPR. The presence of the wedged filters for beams of the same MV reduces the soft radiation component and TPR values for open and wedged beams changed within 4%, 1.5%, and 0.7% for 6, 10, and 15 MV beams, respectively, confirming literature data.( 17 ) However, the TPR values for 15° and 60° filters change within 2.5%, 1.0%, and 0.5% for 6, 10, and 15 MV beams, respectively. It is important to underline that the TPR indexes are obtained as the ratios between the doses (at distance of 100 cm from the source) at depth 20 cm and 10 cm for open beams indicating the different beam hardness. For wedged beams, the filter shapes (Fig. 1) are projected to obtain modulated fluence with a minimum variation of the percentage depth dose along the beam central axis. In particular, the TPR index for wedged beams takes into account the hardening and the spatial photon fluence modulation, loosing the proportional trend with filter thickness, t. In this regard, TPRs for the wedged beams did not correlate with the dose at the mid plane phantom and the transit signals. The index changes about 180% for the different wedge angles (Table 2), and it is well correlated with the doses and transit signals. For this reason the was selected in this work to characterize the wedge beams.
B. Isocenter dose reconstruction method
The method used for the dose reconstruction at the isocenter point has been described in previous papers for open beams.( 14 – 16 ) Following that approach, correlation ratios between the transit signals, measured by an aSi EPID at the SED, positioned below an SP of thickness, w, and the dose values at the SP midplane along the beam central axis at the SAD (Fig. 2(c)) were determined for each beam of the same MV. In particular, for the wedged X‐ray beams of square field size L, specific correlation ratios were determined by:
(2) |
where are the transit signals and the is the midplane dose in SP.
Moreover, a set of measurements were carried out positioning the phantom midplane (at distances d up to ) below and above the SAD. This produced the different scattered photon contributions on the EPID due to the different distances between the portal detector and the bottom surface of the phantom that were taken into account by the ratios:
(3) |
These ratios also take into account the eventual changes of beam hardening due to the presence of the patient along the beam central axis that can be responsible for an aSi detector reading dependence.
B.1 Midplane doses by wedged fields
The SP, an RMI model 457 (Gammex, RMI Middelton, WI) with 30 cm square slabs of various thicknesses, presented a density of . A water equivalency correction factor, ( 18 ) for the SP resulted equal to ( 14 ) so the ion chamber reading in SP was multiplied by the before the midplane dose determination.
The midplanes of the SPs of different thicknesses, w, equal to 10, 22, 30 and 42 cm, were positioned at the SAD and irradiated with six square field sizes, , and 20 cm (Fig. 2(c)). The midplane doses measured in the five centers were carried out following the IAEA report( 12 ) and using the same cylindrical ion chamber, a PTW model 31010 type Farmer (PTW‐Freiburg, Germany), and a PTW Tandem (PTW‐Freiburg, Germany) as electrometer. One hundred MUs were delivered for each measurement.
However, MU calibrations were carried out in the centers using different source water‐phantom surface distances (SSD) or different dose values at the reference depth, in water phantom. In particular, using an open field at the SSD, a reference output factor of 1 cGy/MU was assigned at the depth of the maximum dose, , for the Varian and Siemens linacs, while for the Elekta linacs the reference output factor was assigned at . For this reason, a factor has been defined as
(4) |
In this way, the midplane doses were normalized by the factor
(5) |
thus obtaining a set of generalized dose values in terms of cGy/MU that were independent of the MU calibration adopted by the centers.
B.2 EPID calibration and transit signal measurements
The EPID images were exported as Digital Imaging Communication in Medicine (DICOM) files to be analyzed. Some characteristics of the aSi EPIDs and their running acquisition modes have been well reported in previous works for the open beams( 14 – 16 ) where the EPID signal, s, on the beam central axis in terms of arbitrary units (a.u.) was obtained by the average of the signals supplied by a number of central pixels around the beam's central axis for a area.
It is well known that aSi EPIDs present a nonlinearity response with the treatment exposure times due to the combination of the ‘image lag’ and the ‘gain ghosting’ effects. As reported by Mc Dermott et al.,( 10 ) to assess the linearity response of the different aSi EPIDs, the signals were measured delivering a number, N, of MUs equal to 5, 20, 50, 100, 200, 300, and 400 MU.
A correction factor for the linearity, , was determined for each clinical MU rate utilized (Table 1), as
(6) |
where and were the signals obtained for 100 and N MU, respectively. Moreover, the signal dependence on the dose rate was analyzed by the factors, obtained irradiating SPs with different thickness, (Fig. 2(c)).
The EPIDs were calibrated determining a reference transit signal, , (in terms of arbitrary units a.u.) in the configuration reported in Fig. 2(c). In particular, the SP with a thickness was irradiated by a field , with 100 MU and the value in a.u./MU was converted to one centi‐calibration unit per MU (1 cCU/MU). This way 38 sensitivity factors, , in terms of cCU/a.u were determined for every EPID and wedged beam by:
(7) |
Thus, irradiating the SP of different thicknesses, w, with wedge beams of field sizes, L, the transit signals in a.u./MU were multiplied by the factors, obtaining the generalized transit signals
(8) |
The values in terms of cCU/MU resulted independently from the MU calibration and the aSi EPID sensitivity. Of course, an integral transit signal, (a.u.) (obtained by a number of MUs) multiplied by can be read in terms of cCU and resulted independent from the EPID sensitivity and the MU calibration.
The measurements of the were also carried out, positioning the phantom midplane below and above the SAD (at distances, d, up to ) as a function of w, and L. These last data were used to determine the generalized ratios, , defined by Eq. (3).
B.3 An interactive software for the generalized dose reconstruction
Using a commercial software package, TableCurve 3D, SPSS‐Science2000 (Systat Software, Inc., San Jose, CA),( 19 ) the data reported by Eqs. (5) and (8) were analyzed and fitted by surface equations. The software package automates the surface‐fitting process minimizing the sum of squares of the residuals (where a residual is simply the difference between the experimental value and the one computed from the surface‐fit equation).( 20 ) This way, the surface equations for the and the experimental data can be used to obtain generalized correlation ratios (in terms of CU/Gy, Eq. (2)).
In this work, a dedicated software DISO that uses all the information stored in the R&V system of the center has been used to supply the dose reconstruction in quasi‐real time. DISO is configured by the user introducing the dosimetric parameters of the wedged beams and of the EPIDs . DISO has been developed in two modules: the first one for the pretreatment step where the DICOM files supplied by the CT scanner and the TPS can be used to obtain the equivalent square field, the water‐equivalent thicknesses, w and the depth , independently from the TPS.
The second module of the DISO is for the ‘posttreatment step’. The DICOM files from the EPID after the patient's daily treatment have been analyzed to determine, for every beam, the value, as well as the ratio . In particular, for every beam, the images of the isocenter CT scan with the beam geometrical edges and the central axis direction have been reported.
A preliminary test to verify the accuracy of the generalized procedure was obtained following 12 radiotherapy treatments of prostatic tumors, four cases for each of the three linacs (Varian, Elekta, and Siemens) (not included in Table 1). This meant that the factors , , and of the new linacs were determined. The selection of these pelvic treatments assured a good accuracy in terms of: (i) the computation in quasi‐homogeneous tissues, and (ii) the patient setup. For each patient, six tests were carried out for a total of 144 tests for wedge beams of 10 and 15 MV used for the later‐lateral irradiations. In particular, the 15 MV Siemens beams used 30° and 45° wedges, while the 10 MV Varian beams used a 30° wedge, and the 10 MV Elekta beams used the 60° wedge.
The TPSs used for the MU computations to deliver the were two 3D Eclipse (Eclipse 7.3.10 Varian, Palo Alto CA, USA) and one 3.0 Oncentra Masterplan (Nucletron BV, Venendal, The Netherlands) in the center that used the Elekta linac.
The aim of these 144 tests was to verify the ratios, R, obtained by the generalized procedure and that were within the tolerance level 5%, estimated for this treatment.
III. RESULTS
A. Midplane doses and transit signals
Table 3 reports the factors and determined for 15 of the 38 wedged beams. The long‐term stability was estimated equal to — that means within the experimental uncertainty. A long‐term stability for the was equal to 2% (2 SD). This means that when the changes in time over this tolerance level, a new factor should be adopted to take into account the change of the EPID sensitivity.
Table 3.
Clinac 2100 Varian | Elekta Precise | Siemens Oncor | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nominal Mega Voltage (MV) | 6 | 10 | 15 | 6 | 10 | 15 | 6 | 10 | 15 | |||||||
Wedge Angle (°) | 15 | 60 | 15 | 60 | 15 | 60 | 60 | 60 | 60 | 15 | 60 | 15 | 60 | 15 | 60 | |
|
1.63 | 3.13 | 1.42 | 2.67 | 1.33 | 2.53 | 3.01 | 2.89 | 2.90 | 1.77 | 3.44 | 1.85 | 3.25 | 1.43 | 2.45 | |
|
7.79 | 14.72 | 6.36 | 12.22 | 5.58 | 10.63 | 8.75 | 6.36 | 6.12 | 3.05 | 6.68 | 2.74 | 4.21 | 2.36 | 4.05 |
The factors for the same EPID model resulted within independent of the nominal MV and the dose rate, in agreement with the data reported by McDermott et al.( 10 ) Table 4 reports the average values of the factors determined for the aSi EPID models here used (Table 1).
Table 4.
5 MU | 20 MU | 50 MU | 100 MU | 200 MU | 300 MU | 400 MU | |
---|---|---|---|---|---|---|---|
Varian (UCSC) | 1.020 | 1.010 | 1.005 | 1.000 | 0.997 | 0.995 | 0.994 |
Elekta (UCSC) | 1.020 | 1.011 | 1.008 | 1.000 | 0.997 | 0.995 | 0.994 |
Siemens (VT) | 1.029 | 1.016 | 1.007 | 1.000 | 0.993 | 0.990 | 0.989 |
Figure 3 reports the linear fits of the generalized transit signals for fields of the same MV as a function of the and for phantom thicknesses , and 42 cm. The fits reproduce the measured data, well within the experimental uncertainties (2SD) estimated for these data, and the same accuracy was obtained for the other field sizes. Figure 3 shows that the generalized signals for are equal to the unity for all the MV beams (Eq. (8)). Of course, increasing or decreasing the phantom thickness w, data result, respectively, less or greater than the unity and, in particular, the changes from the unity increase for beams of minor MV values. As reported in Table 2, the poor variations of the TPRs for wedged beams of the same MV, (in particular, for 10 MV and 15 MV) is coherent with the small variations of the relative photon transmissions given by Eq. (8). For example, the heavy line for 15 MVs reported in Fig. 3 for the is obtained by the ratios
(9) |
and for different values, these ratios are constant enough, while for the beams of 6 MV, the ratios change for the different wedges.
The generalized experimental transit signals (Eq. (8)) were fitted by surface equations, once for every square field, L, by:
(10) |
where the ten adjustable coefficients, are real numbers obtained through the fitting procedure.
Similar trends as from Fig. 3 were obtained for the midplane dose and the linear fits reproduced the experimental data well within the experimental uncertainty (2SD) estimated for the generalized doses. In conclusion, for every MV, the experimental doses (Eq. (5)) were fitted by surface equations once for every square field L by:
(11) |
where the six adjustable coefficients, , are real numbers obtained through the fitting procedure. The number of adjustable parameters (10 and 6 in Eqs. (10) and (11)) were chosen to obtain the computed data within the uncertainties of the experimental data estimated for the midplane doses and the transit signals.
Figure 4 reports, for the 6 MV X‐ray beams with , and 20 cm, the surfaces (Eq. (11)) that fitted the experimental data (Fig. 4(a)) and the fitting surfaces (Eq. (10)) for the experimental data (Fig. 4(b)). The differences between the generalized experimental data and the computed data given by Eqs. (10) and (11) were, respectively, within 1.3% (2SD) with maximum residuals up to 1.8% and 2.0% (2SD) with maximum residuals up to 2.5%. This means that the generalized ratios
(12) |
were within 3% equal to the ratios obtained by the experimental data.
The resulted independently from the (within 0.3%). Figure 5 shows for the the factors (Eq. (3)) for the 6 MV wedged beams (supplied by the three linacs: Elekta, Varian, and Siemens) with the field sizes , and . The values were obtained averaging the ratios in Eq. (3) for different indexes. This way, the data were tabulated for each nominal MV parameter in terms of (w, L, d).
B. Isocenter dose determination
Following in part the approach used for open beams,( 9 ) the dose for a generic wedged beam has been obtained by:
(13) |
where in terms of a.u. is the EPID integral signal that is corrected by: (i) the sensitivity factor to take into account for the EPID sensitivity, (ii) by the factor to take into account for the MU calibration, and (iii) by the factor , to take into account for the nonlinearity of the EPID signal with the MUs. In square brackets, Eq. (13) reports, for every MV, the correlation ratio (Eq. (12)), the factors and the tissue maximum ratios .( 21 ) In particular, by the beam index and the patient's radiological thickness w (Eqs. (10) and (11)), supplied the data for the ratio , while the and the ratios were selected by interpolations of tabulated data for each MV parameter.
The dosimetric accuracy of the method was analyzed in a previous paper( 4 ) and, in particular, for the ratio, R, between the in vivo reconstructed dose and the predicted dose, , a tolerance level of 5% was assumed.( 5 )
Figure 6 reports the histogram of 131 tests over the 144 carried out for six pelvic treatments. In fact, 13 tests on three patients showed dose overestimations between 8% and 12% due to the presence of air pockets along the beam central axis, and these results were not reported in Fig. 6. In these last tests, the transit signal profiles that crossed the beam central axis showed small localized increases if compared with other previous controls. The visual portal imaging (VPIs) obtained before the treatment confirmed the presence of gas pockets. However, for every patient, the sum of doses (obtained by the beams reported in Fig. 6) were well within 4% of the stated doses, . Figure 6 confirmed the ratios, R, well within the tolerance level of 5% estimated for each test of the 3DCRT pelvic treatment. Moreover, the generalized procedure that adopts a new software for the DISO, supplied the reconstructions after 1.5 minutes at the end of a treatment with four beams.
IV. DISCUSSION
The dosimetric procedure for the in vivo dosimetry here reported is based on the use of generalized functions and obtained fitting the experimental data of 38 wedged beams of linacs of different manufacturers. Original calibration procedures were adopted for the (Eq. (5)) that resulted independently of the MU calibration adopted by the centers and the (Eq. (8)) that resulted independent of both the EPID sensitivity and the MU calibration of the beams.
The linacs, as the EPIDs manufactured by Varian, Elekta, and Siemens, present a different collimator and wedge filter assemblage( 22 , 23 ) (different distances from the source), as well as different EPID‐building.( 8 , 24 , 11 ) This can be a cause of different scatter photon contributions by collimators, wedges, and by the EPID itself. However, the effect of the different photon scattered contributions from the collimators and the wedges as a function of the beam size seems to be negligible, and is based on the low residuals for the fits of Eq. (11). In other words, the generalized seems to be independent of linac type. Moreover, the low residuals by Eq. (10) suggested that the effects of different backscatter contributions from the EPIDs of different manufacturers were negligible for the SP thicknesses and field sizes here used. In other words, the generalized values seemed to be independent of linac type.
The time required for the measurements with the SPs for the correlation ratios (Eq. (2)) and the ratios of Eq. (3) were estimated to be six hours per open and wedged beams of the same MV. Using the generalized functions, the measurements to be carried out in the centers were reduced to those for the determination of the , , , and parameters. We have verified that in 2 hours it is possible to determine the four parameters for all the linac beams. In particular, Eq. (7) supplies the factors obtained with of SP. At the moment, we have determined for each beam of the different linacs, the ratios between and . The latter was obtained in the same manner but in the absence of the SP. In this way, the stability could be tested every month, determining the .
The extra time needed for the pretreatment step resulted in about 40 sec per beam, while for the post‐treatment step, it resulted about 25 sec per beam.
V. CONLUSIONS
In vivo dosimetry is today considered a special tool to avoid accidents,( 2 ) and many researchers are studying new methods based on the use of EPIDs that are easy to implement, simple, efficient in their daily use, and sufficiently accurate for the purpose they are serving.( 25 ) Recent methods based on transit dosimetry require specific measurements in phantom( 10 , 7 , 4 ) and data analysis after the treatment. This paper extends a generalized procedure developed for open beams at the 3DCRT wedged beams supplied by linacs manufactured by Varian, Elekta, and Siemens. This way, the implementation measurements in solid water phantoms can be strongly reduced and the method can be easily included in the QA program( 26 ) of the centers. Moreover, the dedicated software DISO supplies an accurate reconstruction at the end of the fractioned therapy in quasi‐real time.
The method based on the correction functions can be applied for breast treatment( 27 ) using measurements in cylindrical water phantoms. This means that new generalized functions could be determined for this technique.
At the moment, the authors are studying the possibility of extending the generalized procedure for the reconstruction for intensity‐modulated radiotherapy beams, in particular for a 2D in vivo dose investigation.
ACKNOWLEDGEMENTS
This work was supported by the “Istituto Nazionale di Fisica Nucleare applicata alla Medicina (INFN‐MED)” project DISO (2011).
REFERENCES
- 1. Bogdanich W. As technology surges, radiation safeguards lag. The New York Times. 2010. Jan 26. Available from: http://www.nytimes.com/2010/01/27/us/27radiation.html.
- 2. Swedish Radiation Safety Authority . SSI 2000: The Swedish Radiation Institute's regulations on radiation therapy SSTFS 2000:4. Stockholm, Sweden: Swedish Radiation Safety Authority; 2000. [Google Scholar]
- 3. van Elmpt W, McDermott L, Nijsten S, Wendling M, Lambin P, Mijnheer B. A literature review of electronic portal imaging for radiotherapy dosimetry. Radiother Oncol. 2008;88(3):289–309. [DOI] [PubMed] [Google Scholar]
- 4. Piermattei A, Fidanzio A, Stimato G, et al. In vivo dosimetry by an aSi‐based EPID. Med Phys. 2006;33(11):4414–22. [DOI] [PubMed] [Google Scholar]
- 5. Piermattei A, Fidanzio A, Azario L, et al. Application of a pratical method for the isocenter point in vivo dosimetry by a transit signal. Phys Med Biol. 2007;52(16):5101–17. [DOI] [PubMed] [Google Scholar]
- 6. Nijsten S, Mijnheer B, Dekker A, Lambin P, Minken AW. Routine individualised patient dosimetry using electronic portal imaging devices. Radiother Oncol. 2007;83(1):65–75. [DOI] [PubMed] [Google Scholar]
- 7. Pasma KL, Kroonwijk M, Quint S, Visser AG, Heijmen BJ. Transit dosimetry with an electronic portal imaging device (EPID) for 115 prostate cancer patients. Int J Rad Oncol Biol Phys. 1999;45(5):1297–303. [DOI] [PubMed] [Google Scholar]
- 8. Van Esch A, Depuydt T, Huyskens DP. The use of an aSi‐based EPID for routine absolute dosimetric pre‐treatment verification of dynamic IMRT fields. Radiother Oncol. 2004;71(2):223–34. [DOI] [PubMed] [Google Scholar]
- 9. Piermattei A, Cilla S, Fidanzio A, et al. Calibration of portal imaging devices for radiotherapy in‐vivo dosimetry. NIM A. 2010;623(2):829–31. [Google Scholar]
- 10. McDermott LN, Louwe RJW, Sonke JJ, van Herk M, Mijnheer BJ. Dose‐response and ghosting effects of an amorphous silicon electronic portal imaging device. Med Phys. 2004;31(2):285–95. [DOI] [PubMed] [Google Scholar]
- 11. Nijsten S, van Elmpt W, Jacobs M, et al. A global calibration model for a‐Si EPIDs used for transit dosimetry. Med Phys. 2007;34(10):3872–84. [DOI] [PubMed] [Google Scholar]
- 12. IAEA (International Atomic Energy Agency) . Absorbed dose determination in external beam radiotherapy: an international code of practice for dosimetry based on standards of absorbed dose to water. IAEA TRS 398. Vienna, Austria: IAEA; 2000. [Google Scholar]
- 13. International Commission for Radiation Units and Measurement . Determination of absorbed dose in a patient irradiated by beams of X‐ or gamma rays in radiotherapy procedures. ICRU Report 24. Washington, DC: ICRU; 1976. [Google Scholar]
- 14. Cilla S, Fidanzio A, Greco F, et al. Correlation functions for Elekta aSi EPIDs used as transit dosimeter for open fields. J Appl Clin Med Phys. 2010;12(1):3279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Fidanzio A, Cilla S, Greco F, et al. Generalized EPID calibration for in vivo dosimetry. Phys Med. 2010;27(1):30–38. [DOI] [PubMed] [Google Scholar]
- 16. Fidanzio A, Greco F, Gargiulo L, et al. A generalized calibration procedure for in vivo transit dosimetry using Siemens electronic portal imaging device. Med Biol Eng & Computing. 2011;49(3):373–83. [DOI] [PubMed] [Google Scholar]
- 17. Mijhneer B, Bridier A, Garibaldi C, Torzsok K, Venselaar J. Monitor unit calculation for high energy photon beams – pratical examples. ESTRO booklet No. 6. Brussels, Belgium: ESTRO; 2001. [Google Scholar]
- 18. Tello VM, Tailor RC, Hanson WF. How water equivalent are water‐equivalent solid materials for output calibration of photon and electron beams. Med Phys. 1995;22(7):1177–89. [DOI] [PubMed] [Google Scholar]
- 19. Systat Software, Inc. TableCurve 3D Ver. 4. San Jose, CA: Systat Software, Inc.; 2004. [Google Scholar]
- 20. Cilla S, Fidanzio A, Greco F, et al. Correlation functions for Elekta aSi EPIDs used as transit dosimeter for open fields. J Appl Clin Med Phys. 2010;12(1):218–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. British Institute of Radiology . Central axis depth dose data for use in radiotherapy departments. Suppl. 25. London, UK: Br Inst Radiol; 1996. [Google Scholar]
- 22. Galvin JM. The multileaf collimator, a complete guide. In: Proceedings of the 1999 Annual Meeting of the AAPM. Madison (WI): AAPM; 1999. [Google Scholar]
- 23. Georg D, Olofsson J, Künzler T, Aiginger H, Karlsson M. A practical method to calculate head scatter factors in wedged rectangular and irregular MLC shaped beams for external and internal wedges. Phys Med Biol. 2004;49(20):4689–700. [DOI] [PubMed] [Google Scholar]
- 24. Louwe R, McDermott L, Sonke J, et al. The long‐term stability of amorphous silicon flat panel imaging devices for dosimetry purposes. Med Phys. 2004;31(11):2989–95. [DOI] [PubMed] [Google Scholar]
- 25. Mijnheer B. State of the art of in vivo dosimetry. Radiat Prot Dosimetry. 2008;131(1):117–22. [DOI] [PubMed] [Google Scholar]
- 26. Morganti A, Deodato F, Zizzari S, et al. Complexity index (COMIX) and not type of treatment predicts undetected errors in radiotherapy planning and delivery. Radiother Oncol. 2008;89(3):320–29. [DOI] [PubMed] [Google Scholar]
- 27. Fidanzio A, Greco F, Mameli A, et al. Breast in vivo dosimetry by EPID. J Appl Clin Med Phys. 2010;11(4):249–62. [DOI] [PMC free article] [PubMed] [Google Scholar]