Abstract
Background
Widely used physical wedges in clinical radiotherapy lead to beam intensity attenuation as well as the beam hardening effect, which must be considered. Dynamic wedges devised to overcome the physical wedges (PWs) problems result in dosimetry complications due to jaw movement while the beam is on. This study was aimed to investigate the usability of physical wedge data instead of enhanced dynamic wedge due to the enhanced dynamic wedge (EDW) dosimetry measurement hardships of Varian 2100CD in inhomogeneous phantom by Monte Carlo code as a reliable method in radiation dosimetry.
Materials and methods
A PW and EDW-equipped-linac head was simulated using BEAMnrc code. DOSXYZnrc was used for three-dimensional dosimetry calculation in the CIRS phantom.
Results
Based on the isodose curves, EDW generated a less scattered as well as lower penumbra width compared to the PW. The depth dose variations of PWs and EDWs were more in soft tissue than the lung tissue. Beam profiles of PW and EDW indicated good coincidence in all points, except for the heel area.
Conclusion
Results demonstrated that it is possible to apply PW data instead of EDW due to the dosimetry and commissioning hardships caused by EDW in inhomogeneous media.
Keywords: physical wedge, enhanced dynamic wedge, Monte Carlo code, inhomogeneous medium
Introduction
In conformal radiotherapy, physical wedges (PWs) made of high-density materials (e.g. steel or lead) are used to change isodose curves in order to achieve more complete target dose conformity while also preserving nearby normal tissues better. However, the main concern related to PWs is beam intensity attenuation, which results in the beam hardening effect across the beam path, and must be taken into account in treatment planning systems. This problem introduced the idea of using dynamic or virtual wedges [1–4]. Wedge-Shaped dose distribution in dynamic wedges is created by sweeping of an independent jaw within the treatment field during irradiation. This design includes considerable advantages compared to physical wedges, such as the absence of beam hardening, out-of-field dose reduction, shorter treatment time, and being automatic and easy to handle [6–8].
The presented dynamic wedges by Varian could offer angles of 15°, 30°, 45°, and 60° for symmetrical field sizes of 4 to 20 cm. This limited accessibility to wedge angles and field sizes was overcome by developing enhanced dynamic wedges (EDWs) which produce more wedge angles and also asymmetric field sizes [6].
In the presence of EDWs, the dosimetry measurements required for implementation in treatment planning systems are complicated due to the jaw movement. Monte Carlo simulation as a reliable and accurate method can be used, which is acknowledged in radiotherapy dosimetry [9, 10].
Studies considering the difference between physical wedges and enhanced dynamic wedges were confined to homogeneous media, and few studies were conducted to investigate these differences in inhomogeneous media [4, 8–14, 15–19].
The goal of this study was to compare the dosimetric properties of PWs and EDWs to assess the possibility of applying physical wedge data instead of enhanced dynamic wedge due to the dosimetry and commissioning hardships caused by enhanced dynamic wedges. This study was conducted based on Monte Carlo studies in chest radiotherapy in breast cancer as a technique with the highest usage of wedges.
Materials and methods
Open field, PW, and EDW-equipped-linac head simulation
Geometry and radiation transport simulation of the Varian 2100CD for a nominal 6MV photon beam was performed using the BEAMnrc code, the user code of EGSnrc. The EGSnrc is a developed version of the EGS4 code in which transport physics is greatly improved compared to EGS4 [22]. Pre-made components called module presented by the BEAMnrc code for geometry simulation have made this code different from other simulation codes. For modeling linac head, modules of SLABS, CONS3R, FLATFILT, CHAMBER, MIROR, and JAWS were used to model target, primary collimator, flattening filter, ion chamber, mirror, and secondary collimator, respectively. PW and EDW with wedge angles (15°, 30°, 45°, and 60°) and (10°, 15°, 20°, 25°, 30°, 45°, and 60°) were simulated by PYRAMIDS and DJAWS, respectively. To simulate EDW, AUTO-JAWS, a MATLAB-based program written by Kakakhel [23] was used. A Gaussian electron pencil beam with 6.1 MeV energy and 2.8 cm FWHM as the best match was selected [13, 24, 25]. Photon and electron cut-off energies were set to 0.01 and 0.7 MeV, respectively. Moreover, 5 × 108 initial photons were simulated to achieve statistical uncertainties < 1%. To improve uncertainty and enhance simulation speed, directional bremsstrahlung splitting (DBS), a bremsstrahlung splitting technique, was employed as a variance reduction technique [26].
DOSXYZnrc, another EGSnrc user code, was implemented for three-dimensional (3D) dose calculations [27]. To that end, a voxel-based water phantom with voxel sizes of 0.5 cm and 0.2 cm in the penumbra region was simulated to obtain PDD and beam profiles. The phase space file produced by BEAMnrc execution was used as a source in the DOSXYZnrc code. To achieve statistical errors < 1%, 109 histories were allocated. Afterwards, PDD curves and beam profiles at the 1.6, 3.5, and 10 cm depths, for field sizes of 10 × 10 and 15 × 15 cm2, were calculated through the STATDOSE program by reading the “.3ddose” file for all three simulated modes of wedge free (i.e. open field), PW, and EDW fields.
Measurement
To obtain PDD curves and beam profiles for open and physical wedged fields with wedge angles of 15°, 30°, 45°, and 60°, a 0.6 cc Farmer ionization chamber and a 50 × 50 × 50cm3 water phantom were used. PDD and beam profile measurements were performed at SSD = 100 cm and 1.6, 3.5, and 10 cm depths, for field sizes of 10 × 10 and 15 × 15 cm2. For enhanced dynamic wedged fields, calibrated EBT3 films inserted vertically between Perspex phantom layers were used for PDD curve measurement for seven wedge angles, SSD = 100 cm and 10 × 10 cm2 field size. Beam profile measurements were performed using the calibrated SUN NUCLEAR PROFILER2 profiler at depths of 1.6 and 10 cm in a Perspex phantom, SSD = 100 cm, and field sizes of 10 × 10 and 15 × 15 cm2. Finally, all simulated and measured PDD curves and beam profiles were compared to validate the Monte Carlo simulation model.
Then, the CIRS Model 002LFC IMRT Thorax phantom was employed to investigate dose distribution in lung heterogeneity. The 002LFC has an elliptical shape to simulate an average human torso phantom with dimensions of 30 × 30 × 20 cm3.
CT scanned slices of the Thorax phantom were inserted into the Coreplan treatment planning system and, then, a treatment plan with tangential beams (medial and lateral) of 6 MV was designed to prescribe a daily dose of 200 cGy to the central point (in the lung tissue) (Fig. 1).
Figure 1.
Dose distribution of CIRS inhomogeneous phantom treatment planning
PW and EDW simulations in the inhomogeneous medium
For dose calculation in the inhomogeneous medium, the CT-based phantom through CTCREATE program was made from CT images of CIRS phantom. The phase space file, created by the BEAMnrc code, was used as a source in DOSXYZnrc code. Moreover, to apply the treatment plan to the CT data in the code and draw isodose curves (Fig. 2), the DOCTP program based on MATLAB program by Dr. Chow was used [28].
Figure 2.
Isodose curves on a CT cut in DOCTP program
Results
Validation
To validate the Monte Carlo simulation process, simulated depth dose curves and beam profiles of open, physical, and dynamic wedged fields were compared to those of the measurements. The agreement between simulated and measured profiles of open field was 2% and 2 mm for 6.1MeV energy and 2.8 cm FWHM. Moreover, the differences between simulated and measured profiles and depth dose curves of PW and EDW were within 2% and 2 mm for low- and high-gradient dose regions, respectively.
Dosimetric features comparison of PW and EDW in the inhomogeneous medium
Simulated isodose curves, depth dose curves, and beam profiles parallel and perpendicular to the tangential beams were adopted for the quantitative and qualitative comparison of PW and EDW in the inhomogeneous phantom.
Isodose curve
Figure 3 illustrates the simulated isodose curves for PW and EDW in the inhomogeneous breast phantom. Evidently, isodose curves become curved out at the lung entrance owing to the lateral electron equilibrium loss.
Figure 3.
The physical wedge (PW) (A) and the enhanced dynamic wedge (EDW) (B) isodose curves in the inhomogeneous phantom
Depth dose
Depth dose curves parallel to the tangential beam in the inhomogeneous phantom for PW and EDW are presented in Figure. 4. Table 1 shows the mean and maximum discrepancies of two curves within the soft tissue (in the initial 11 cm, left of the arrow) and in the lung tissue (the next 9 cm, right of the arrow).
Figure 4.
Depth dose variations along the radiation beams passing through the physical wedge (PW) and the enhanced dynamic wedge (EDW) in the inhomogeneous phantom; the arrow indicates the soft tissue-lung interface
Table 1.
The mean and maximum differences of the physical wedge (PW) and the enhanced dynamic wedge (EDW) depth dose (DD) curves in soft and lung tissue
Max DD (%) | ||
---|---|---|
Within the soft tissue (central area) | −4.27 ± 0.25 | 7.92 |
Within the lung tissue | 2.03 ± 0.17 | 2.65 |
STD — standard deviation
Beam profile
The beam profile perpendicular to the tangential beam in the inhomogeneous phantom for PW and EDW is depicted in Figure. 5. Two curves differences within various central, toe, and heel areas are presented in Table 2.
Figure 5.
Beam profile variations perpendicular to the radiation beams passing through the physical wedge (PW) and the enhanced dynamic wedge (EDW) in the inhomogeneous phantom; blue and red arrows indicate the air-soft tissue and soft tissue-lung interface, respectively
Table 2.
DD and DTA comparative values of PW and EDW profile comparison in the inhomogeneous medium
Toe area |
Heel area |
Central area |
---|---|---|
1.24 ± 0.14 | 1.95 ± 0.32 | 0.1 ± 0.00 |
Discussion
In this study, dosimetric characteristics of PW and EDW fields were investigated using Monte Carlo simulation in an inhomogeneous CIRS phantom for the first time. Isodose curves become curved out at the lung entrance because of the lateral electron equilibrium loss due to lower lung density which increases the secondary electron range and scattered photons. As shown in Figure 3, the curvature of the PW isodose lines near the beam edge is more than the EDW. In other words, the PW penumbra widening is higher compared to the EDW. This can be attributed to the bigger hardening effect produced by PW resulting in increased secondary electron range, which is in accordance with previous studies [21]. On the other hand, EDWs generate less scattered radiation in comparison with PWs which is also reported by Akram et al. [20]. Thus, penumbra widening mainly resulting from scattered photons and secondary electrons is lower for EDW fields. This feature is in agreement with that reported in other studies [15, 29].
The 80 and 90% isodose lines curvature is observed towards the denser tissue due to the diminished backscattered photons arising from the lung tissue. This curvature was observed more prominently for the EDW than the PW. This can be justified by the fact that, with more beam hardening produced by PW, scattered photons are more forward as a result of enhanced energy. Therefore, a greater curvature of the EDW isodose lines was observed resulting from the more lateral scattering.
According to the Figure 4 and Table 1, depth dose variations along the tangential beams, the central axis of the PW and EDW fields is higher in the homogeneous soft tissue compared to the inhomogeneous lung tissue, since the beam central axis passes near the soft tissue-lung interface which leads to increased lateral scattering. Decreased scattering angle of the hardened beam produced by the PW is responsible for less received dose compared to the EDW. Where the central axis passes through the lung tissue, the role of lateral scattered dose and two curves variations is diminished due to the increased distance from the tissues border.
The physical wedge and EDW beam profiles show good adaption in all points (Fig. 5). The variations in the heel area are a little higher than the central and toe areas (Tab. 2), which is consistent with the previous studies [21].
The blue arrow in Figure 5 represented the air-soft tissue interface. This part corresponds to the wedge heel in the negative area of the X-axis. Due to the electron equilibrium loss in the air and soft tissue intersection, dose reduction is observed. At the entrance to the soft tissue, the EDW absorbed dose is slightly higher than that of PW, because the higher importance of the beam hardening effect in the PW heel area results in more forward scattering of the radiation passing the PW. Thus, less scattered radiation is involved in the absorbed dose. In contrast, the increased scattering angle of enhanced dynamic wedged-beam increases the scattered photon contribution in the absorbed dose near the tissue interfaces.
In the positive area of the X-axis corresponding to the wedge toe and inside the lung tissue, two curves are perfectly matched because of the lower beam hardening effect in the wedge toe. Furthermore, this part of the tissue is placed farther away from the border, so the absorbed dose is chiefly arising from the primary radiation. Despite all the differences between PW and EDW profiles, the two curve discrepancies are negligible. Thus, the PW profiles can be used instead of the EDW. In general, according to the comparisons, it is possible to apply PW dosimetry parameters instead of EDW in the heterogeneous medium.
Conclusion
In this study, the PW and EDW isodose, depth dose, and profile were compared by Monte Carlo studies in a heterogeneous medium. Quantitative comparison of PW and EDW characteristics in the inhomogeneous medium demonstrated the possibility of applying profiles data of PW instead of EDW.
Footnotes
Conflict of interest
None declared.
Funding
This study was funded and supported by Tehran University of Medical Sciences (TUMS), Tehran, Iran; Grant no. 29995.
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