1. bookVolume 54 (2020): Issue 4 (December 2020)
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1581-3207
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Experimental validation of Monte Carlo based treatment planning system in bone density equivalent media

Published Online: 16 Sep 2020
Volume & Issue: Volume 54 (2020) - Issue 4 (December 2020)
Page range: 495 - 504
Received: 10 Jun 2020
Accepted: 09 Jul 2020
Journal Details
License
Format
Journal
eISSN
1581-3207
First Published
30 Apr 2007
Publication timeframe
4 times per year
Languages
English
Introduction

Implementation of advanced radiation therapy techniques into clinical practice has set high demands on the quality and accuracy of various devices used for radiation treatment planning, treatment delivery, and dose verification. Besides the required high performance of medical linear accelerators and their ancillary systems, there are also strict requirements on dose calculation and optimization using treatment planning systems (TPS). Precise dose calculation is one of the most critical steps in the radiation therapy process since it is the basis for accurate and safe treatment delivery using high-energy photon beams. To provide necessary dosimetric accuracy, the verification of the calculated doses should be performed using a reproducible and reliable methodology. To ensure acceptable reliability of the verification results, an appropriate methodology for dose verification should be carefully selected, while the limitations of the specific method must be fully understood. The latter is essential for an adequate interpretation of the verification results.

Comprehensive verification methodology for the evaluation of calculation algorithms built in the TPSs has been proposed by the International Atomic Energy Agency (IAEA).1, 2 However, the rapid development of treatment delivery devices and, consequently, the utilization of the advanced radiation therapy techniques call for further development of the verification methods. In some published studies and documents3, 4, 5, methodologies for the verification of dosimetry parameters for the implementation of Intensity Modulated Radiotherapy (IMRT) have been proposed. However, neither the means of verification nor the methods were explicitly spelled out.

Presently, Monte Carlo based dose calculation algorithms built in the TPS are assumed to be the most accurate computational systems for the appropriate simulation of particle transport and dose calculation.6,7 Those algorithms offer two alternative options for the calculation and reporting of the absorbed dose: dose-to-medium as calculated by Monte Carlo algorithms, referred as dose to medium-in-medium, Dm,m, and dose-to-water converted from dose-to-medium using stopping power ratios water-to-medium, referred as dose to water-in-medium, Dw,m, or sometimes “biological dose to water”.8, 9, 10 The first approach calculates absorbed energy in a medium voxel divided by the mass of the medium element, while the second calculates the absorbed energy in a small cavity of water divided by the mass of that cavity. For brevity, Dm,m and Dw,m calculation options will be denoted as Dm (dose-to-medium) and Dw (dose-to-water) respectively in the rest of the paper.

Since it is a matter of debate whether to use Dm or Dw calculation approach for dose planning9, 10, 11, 12, 13, the American Association of Physicists in Medicine (AAPM) Task Group 10510 recommended that the material to which the dose is computed should be explicitly indicated and conversion between dose-to-medium and dose-to-water calculation modes should be available. Several previously published studies9,12,14, 15, 16 were dedicated to comparisons of the two mentioned calculation modes built in the contemporary TPSs. Those studies have shown that differences between dose-to-medium and dose-to-water calculation modes can be expected in bone density equivalent (BDE) material. While Dm is the quantity inherently computed by MC dose algorithms, Dw calculation approach is still indispensable in clinical radiation therapy due to some practical and historical experience of prescribers.10 Because there is still no agreement regarding the calculation approach that should be used as a clinical standard and due to the absence of the appropriate verification methodology, the present work aimed to propose a supplement to the existing verification methodology to establish the validity of both approaches. For that purpose, calculated absorbed doses using Dm and Dw options were compared to those determined experimentally in the semi-anthropomorphic phantom focusing on the dose differences in the part of the phantom having density close to the bone density.

The ultimate goal of the study was to define and propose an additional verification procedure as a supplement to the set of existing preclinical commissioning tests provided in the IAEA TECDOC 15832, for the specific case where TPS uses Monte Carlo based calculation algorithms. Such additional test may well eliminate potential misinterpretations of the commissioning results for bone density material, where Dm and Dw calculation approaches lead to different conclusions.9,12,14, 15, 16

We have to note that the proposed addendum to the verification methodology has no intention to be an answer to which reporting mode, Dm or Dw, should be used for radiotherapy treatment prescription or dose calculation, neither to discuss possible limitations of the conversion methodology from Dm to Dw, which is based on stopping power ratios water-to-medium.8

Materials and methods

In this work we used 6 MV photon beam generated by Siemens Oncor Expression (Siemens Healthineers, Erlangen, Germany) linear accelerator, Siemens Somatom Open Computerized Tomography (CT) simulator (Siemens Helthineers, Erlangen, Germany) and Elekta Monaco treatment planning system version 5.11 (Elekta, Stockholm, Sweden). Monaco TPS is a Monte Carlo based system which calculates absorbed dose using the Dm approach that can be converted to Dw mode using water-to-medium stopping power ratios to account for different energy absorption in both media.17 Linear accelerator and Elekta Monaco ver. 5.11 TPS were commissioned and prepared for the clinical implementation of Intensity Modulated Radiotherapy according to the international recommendations.1,2,4,18, 19, 20, 21 All dosimetric measurements were performed using a PTW 30013 Farmer type ionization chamber and PTW UNIDOS electrometer (PTW, Freiburg, Germany).

Standard measurements in the CIRS Thorax phantom

Accuracy of the TPS Monaco ver. 5.11 calculation algorithm was experimentally verified using a semi-anthropomorphic CIRS Thorax phantom (CIRS Inc., Norfolk, VA, USA) consisting of a body made of water equivalent material (ρ = 1.003 g/cm3), lung equivalent parts (ρ = 0.207 g/cm3), and bone equivalent part (ρ = 1.506 g/cm3) with cylindrical holes for placement of ionization chamber into interchangeable rod inserts having three different densities.2 The phantom was scanned using the Somatom Open CT simulator. Acquired CT images were used for the delineation of volumes of interest and subsequent dose calculations. Measurements of absorbed dose were performed at ten measuring positions within the phantom (Figure 1) for 15 different irradiation set-ups (Table 1), using a PTW Farmer-type ionization chamber. All measurements were carried out at the central part of the selected radiation fields, excluding the regions of high dose gradients.

Figure 1

Photo of the semi-anthropomorphic CIRS Thorax phantom with interchangeable rod inserts (left) and its CT image (right). Positions of 10 interchangeable rod inserts are marked with numbers from 1 to 10. Five measuring points are in the water equivalent part of the phantom (grey area), four points are in the lung density equivalent material (black area), and one point is in the bone density equivalent part of the phantom (white area).

Irradiation set-ups for measurements in 6 MV photon beam used for experimental verification of the Monaco ver. 5.11 treatment planning systems (TPS) calculation algorithm in the semi-anthropomorphic CIRS Thorax phantom. Reference and measuring points (I1 to I10) are shown in the last two columns; subscripts 1 to 10 correspond to the labelling in Figure 1

Set-upIrradiation geometryField size [cm2]SSD/SADGantry angle [°]reference pointmeasuring points
1Single square fields10×10SSD0I5I1, I3, I5-10
210×10SAD0I5I, I, I135-10
34×4SAD0I5I1-9
410×10SAD90I3I2-10
5Rectangular field10× 15SAD300I1I1, I4, I6-8, I10
6Single asymmetric fields(6+8)×15SAD0I5I1-10
7(3+8)×15SAD90I5I, I15-10
8(4+10)×15SAD180I5I1-3, I5-10
9(3+7)×15SAD300I5I2-10
12×10SAD0
104 fields (box)12×10SAD180I5I2-5
12×8SAD90
12×8SAD270
4×4SAD30
113 fields16×4SAD90I5I2, I5-9
16×4SAD270
12Diamond-shaped field14×14SAD0I3I1, I3, I5-10
13Irregular L shaped field/SAD45I1I1-2, I4-6, I8-10
14MLC cylinder shaped field/SAD0I2I1,2, I5, I8,9, I10
16×4SAD90
153 non-coplanar fields16×4SAD270I5I1, I5-6, I8, I10
4×4

Couch angle = 270°

SAD30

SAD = source to axis distance; SSD = source to surface distance

Measured doses were compared to the corresponding doses obtained by both calculation options, Dm and Dw. Dose differences δDm$\delta {{D}_{m}}$and δDw$\delta {{D}_{w}}$between measured and calculated values for dose-to-medium and dose-to-water calculation approach, were calculated according to the IAEA methodology1,2 as:

δDm=100DmDmeasDmeas,ref$$\delta {{D}_{m}}=100\cdot \frac{{{D}_{m}}-{{D}_{meas}}}{{{D}_{meas,ref}}}$$δDw=100DwDmeasDmeas,ref$$\delta {{D}_{w}}=100\cdot \frac{{{D}_{w}}-{{D}_{meas}}}{{{D}_{meas,ref}}}$$

where Dmeas denotes measured absorbed dose at the selected measuring point, while Dmeas,ref stands for the absorbed dose measured at the reference point, which was chosen on the central axis of the beam at the isocenter (Table 1).

Dose differences δDm$\delta {{D}_{m}}$and δDw$\delta {{D}_{w}}$between calculated and measured doses were analysed for both calculation options through the comparison of the respective average values δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$

δD¯m=1ni=1i=nδDm,i$${{\overline{\delta D}}_{m}}=\frac{1}{n}\sum\limits_{i=1}^{i=n}{\delta {{D}_{m,i}}}$$δD¯w=1ni=1i=nδDw,i$${{\overline{\delta D}}_{w}}=\frac{1}{n}\sum\limits_{i=1}^{i=n}{\delta {{D}_{w,i}}}$$

The index i stands for a particular dose difference for i-th dose measurement and corresponding calculated dose for two different calculation modes in the selected part of the CIRS Thorax phantom (water equivalent part, lung equivalent part, or bone density equivalent part).

Throughout the study, all calculations within Monaco TPS were performed on a 0.2 cm calculation grid, with 0.5% statistical uncertainty per control point.

Differences between Dm and Dw calculation modes in the bone density equivalent part of the CIRS Thorax phantom

In the second part of the study, we were aiming to determine differences between Dm and Dw calculation approaches in the Monaco ver. 5.11 TPS in the bone equivalent part of the CIRS Thorax phantom, following the same methodology as described in the preceding section.

Three irradiation geometries (single asymmetric rectangular fields having different gantry angles: 0°, 90°, and 180°) were selected for this part of the study (Table 1, set-ups 6, 7, and 8). For each of those irradiation geometries, two phantom assemblies were used to analyze differences between the two calculation approaches with respect to the measurements performed by PTW 30013 Farmer type ionization chamber in the bone density equivalent (BDE) part of the CIRS Thorax phantom. In the first assembly, referred to as non-standard, the water equivalent insert with the ionization chamber was placed into the BDE part of the phantom (Figure 2A). In this way, the measuring point in the phantom was surrounded by water equivalent material of sufficient thickness to fulfill conditions required by the Bragg-Gray cavity theory for the determination of absorbed dose in terms of dose to water. In the second assembly, referred to as standard, the BDE insert was placed in the BDE part of the phantom (Figure 2B).

Figure 2

CT image of the CIRS Thorax phantom: water equivalent insert inside BDE part of the phantom (A); a BDE insert inside bone density equivalent (BDE) part of the phantom (B) and cross-section of small “water cylinders” of different dimensions delineated inside BDE part of the phantom to find limits for calculating geometry where cavity theory applies (top right).

In the last part of the study, the phantom assembly was additionally virtually modified for the calculation purposes in the Monaco TPS: cylinders of various volumes (constant length and different diameters) were delineated inside the BDE insert on the CT scans (Figure 2, top right). This approach was utilized to obtain the limits above which the differences between Dm and Dw calculation approaches become non-significant and in agreement with experimentally determined absorbed doses. The length of the cylinders was set equal to the length of the cavity volume of the PTW 30013 ionization chamber, while the electron density of such cylinders was set to be equal to the electron density of the water. According to the IAEA TRS-398 Code of practice22, the charge measured by an ionization chamber calibrated in terms of absorbed dose to water is directly proportional to the absorbed dose in water at the point of measurement in the absence of the chamber. By delineating cylinders having the electron density of water inside the BDE part of the phantom, we have tried to simulate the mentioned theoretical situation to different degrees.

To verify the accuracy of dose-to-medium and dose-to-water calculation modes, we have analyzed differences δDm$\delta {{D}_{m}}$and δDw$\delta {{D}_{w}}$between calculated and measured absorbed doses for both calculation modes and different volumes of “water cylinders” smaller than the volume of the PTW 30013 ionization chamber’s cavity volume (0.6 cm3), using Eqs. [1] to [4]. We were aiming to find the volume of “water cylinder,” above which there will exist an agreement between calculated and measured doses without a statistically significant difference between both calculation approaches. Our final challenge was to define an addendum to the existing TPS verification methodology based on the described method and experimental findings from the present work.

Evaluation of results and estimation of uncertainties

The uncertainty of δD¯m${{\overline{\delta D}}_{m}}$was estimated as the combination in quadrature of the statistical uncertainty of δD¯m${{\overline{\delta D}}_{m}}$and the uncertainty of Monte Carlo calculation of 0.5% (1 SD) for Dm, using a coverage factor k = 2 (2 SD). The uncertainty of δD¯w${{\overline{\delta D}}_{w}}$was calculated in the same manner.

We considered that the Dm and Dw calculation modes differed significantly within 95% confidence limits (two standard deviations – 2 SD, i.e., coverage factor k = 2) if the relation

|δD¯mδD¯w|>uc(k=2)$$\left| {{\overline{\delta D}}_{m}}-{{\overline{\delta D}}_{w}} \right|>{{u}_{c}}\left( k=2 \right)$$

was satisfied. uc is a combined uncertainty which was determined as the combination in quadrature of the individual uncertainties of δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$. This estimation was considered conservative due to the fact that the uncertainties of the terms Dmeas/Dmeas,ref were included in the compute of the individual uncertainties δD¯m${{\overline{\delta D}}_{m}}$and δD¯w.${{\overline{\delta D}}_{w}}.$

Secondly, we considered that the dose calculations within Monaco TPS were in agreement with the experimentally determined doses if the conditions

|δD¯m|<1%$$\left| {{\overline{\delta D}}_{m}} \right|<1\text{%}$$|δD¯w|<1%$$\left| {{\overline{\delta D}}_{w}} \right|<1\text{%}$$

were satisfied. At this point we note, that throughout the rest of the paper all combined uncertainties are stated within two standard deviations, i.e., using a coverage factor k = 2.

Results
Standard measurements in the CIRS Thorax phantom

Differences between calculated and measured absorbed doses for two calculation modes, dose-to-medium Dm and dose-to-water Dw were determined using Eqs. [1] and [2] for all 15 standard irradiation configurations and ten measurement points in the CIRS Thorax semi-anthropomorphic phantom (Table 1). Mean values of percentage dose differences δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$calculated by Eqs. [3] and[4] are presented with corresponding uncertainties in terms of two standard deviations in Figure 3, separately for the water equivalent part (five measurement points), lung density equivalent part (four measurement points), and BDE part (one measurement point) of the phantom. Statistical significance of the obtained differences between δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$was evaluated using the relations shown in Eqs. [5] to [7].

Figure 3

Mean percentage dose differences δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$between calculated and measured doses in different parts of the CIRS Thorax phantom (water, lung, and bone density equivalent materials) for both calculation options built in the Monaco TPS: dose-to-medium Dm and dose-to-water Dw. Error bars represent corresponding combined uncertainties.

Comparison of measured and calculated doses in the water equivalent part of the phantom showed that the mean percentage dose difference for all points was - 0.6% (uc=1.1%)$\left( {{u}_{c}}=1.1\text{%} \right)$for the dose-to-medium calculation mode and - 0.6% (uc=1.1%)$\left( {{u}_{c}}=1.1\text{%} \right)$for the dose-to-water calculation mode (Figure 3). The two calculations were found not to be significantly different within 95% confidence limits since the condition from Eq. [5] was not satisfied: |δD¯mδD¯w|=0.0%(uc=1.5%).$\left| {{\overline{\delta D}}_{m}}-{{\overline{\delta D}}_{w}} \right|=0.0\text{%}\left( {{u}_{c}}=1.5\text{%} \right).$

Comparison of measured and calculated doses in the lung density equivalent part of the phantom showed that δD¯m=0.1%(uc=1.1%)${{\overline{\delta D}}_{m}}=0.1\text{%}\left( {{u}_{c}}=1.1\text{%} \right)$for the dose-to-medium calculation approach, while δD¯w${{\overline{\delta D}}_{w}}$= 0.0% (uc=1.1%)$\left( {{u}_{c}}=1.1\text{%} \right)$for the dose-to-water mode (Figure 3). Also in this case, the difference between both applied calculation approaches was statistically non-significant within 95% confidence limits: δD¯mδD¯w=0.1%uc=1.5%. $\left| {{\overline{\delta D}}_{m}}-{{\overline{\delta D}}_{w}} \right|=0.1\text{%}\left( {{u}_{c}}=1.5\text{%} \right).$

In the bone density equivalent part of the CIRS Thorax phantom, the percentage dose differences between the two calculation options were larger than in the previous two cases (Figure 3). Mean difference δD¯m${{\overline{\delta D}}_{m}}$for the dose-to-medium calculation mode was - 2.8% (uc=2.0%),$\left( {{u}_{c}}=2.0\text{%} \right),$while for the dose-to-water calculation approach the mean difference δD¯w${{\overline{\delta D}}_{w}}$was 2.9% (uc=1.8%).$\left( {{u}_{c}}=1.8\text{%} \right).$Consequently and importantly, in the BDE part of the phantom, the absolute differences between the two calculation modes were found to be statistically significant within 95% confidence limits: |δD¯mδD¯w|=5.7%(uc=2.6%).$\left| {{\overline{\delta D}}_{m}}-{{\overline{\delta D}}_{w}} \right|=5.7\text{%}\left( {{u}_{c}}=2.6\text{%} \right).$

Dose calculations within Monaco TPS were in agreement with experimentally determined doses for water equivalent and lung equivalent parts of the CIRS Thorax phantom, since the conditions from Eqs. [6] and [7] were satisfied. On the contrary, for the BDE part of the phantom, conditions from Eqs. [6] and [7] were not satisfied. Therefore, we can conclude that the dose calculations in Monaco TPS ver. 5.11 were not in agreement with measured absorbed doses for the BDE part of the phantom, regardless of the calculation mode.

Differences between Dm and Dw calculation modes in the bone density equivalent part of the CIRS Thorax phantom

The second part of the study was focused on the differences between calculated and measured absorbed doses in the BDE part of the CIRS Thorax phantom. Three simple asymmetric fields with different gantry angles were selected for that purpose utilizing two different phantom assemblies, standard and non-standard, as described in the section Materials and methods and shown in Table 1 (set-ups 6, 7, and 8) and Table 2.

Differences δDm$\delta {{D}_{m}}$and δDw$\delta {{D}_{w}}$between two different calculation options in the Monaco ver. 5.11. treatment planning systems (TPS) and measured data obtained in the bone density equivalent (BDE) part of the CIRS Thorax phantom, according to Eqs. [1] and [2]. Two phantom assemblies and three simple beam setups were considered for this part of the study

Irradiation geometry (field, gantry)Phantom assemblyδDm[%]$\delta {{D}_{m}}\left[ \text{%} \right]$δDw[%]$\delta {{D}_{w}}\left[ \text{%} \right]$
(6+8) x 15 cm2Gantry = 0°standard

BDE insert with the ionization chamber placed in the BDE part of the phantom

- 2.92.9
non-standard

Water equivalent insert with the ionization chamber placed in the BDE part of the phantom

- 0.7- 0.2
(3+8) x 15 cm2Gantry = 90°standard

BDE insert with the ionization chamber placed in the BDE part of the phantom

- 3.05.1
non-standard

Water equivalent insert with the ionization chamber placed in the BDE part of the phantom

- 0.7- 0.1
(4+10) x 15 cm2Gantry = 180°standard

BDE insert with the ionization chamber placed in the BDE part of the phantom

- 5.75.4
non-standard

Water equivalent insert with the ionization chamber placed in the BDE part of the phantom

0.51.3

For non-standard phantom geometry, we did not find statistically significant differences between measured and calculated absorbed doses: δD¯m=0.3%(uc=1.3%)${{\overline{\delta D}}_{m}}=-0.3\text{%}\,\,\,\,\,\left( {{u}_{c}}=1.3\text{%} \right)$and δD¯w=0.3%${{\overline{\delta D}}_{w}}=0.3\text{%}$(uc=1.3%).$\left( {{u}_{c}}=1.3\text{%} \right).$In this case, the absolute difference |δD¯mδD¯w|$\left| {{\overline{\delta D}}_{m}}-{{\overline{\delta D}}_{w}} \right|$between both approaches was 0.6% and was statistically non-significant within 95% confidence limits (uc=1.8%).$\left( {{u}_{c}}=1.8\text{%} \right).$

In the standard phantom geometry, however, the differences δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$between measured and calculated doses were larger and statistically significant (Table 2). δD¯m=3.9%(uc=2.1%)${{\overline{\delta D}}_{m}}=-3.9\text{%}\left( {{u}_{c}}=2.1\text{%} \right)$and δD¯w=4.4%(uc=1.9%).${{\overline{\delta D}}_{w}}=4.4\text{%}\left( {{u}_{c}}=1.9\text{%} \right).$

The absolute value of the difference between both approaches was in this case statistically significant: |δD¯mδD¯w|=8.3%(uc=2.8%).$\left| {{\overline{\delta D}}_{m}}-{{\overline{\delta D}}_{w}} \right|=8.3\text{%}\,\,\,\left( {{u}_{c}}=2.8\text{%} \right).$

As a final point, we investigated differences between calculated and measured doses in the phantom, which was virtually modified for the calculation purposes, as described in the section Materials and methods. Results for five delineated “water cylinders,” including the results for standard geometry (V = 0 cm3), are presented in Table 3. Differences gradually decrease as the volumes of delineated “water cylinders” become larger. The maximal difference was |δD¯mδD¯w|=8.3%,$\left| {{\overline{\delta D}}_{m}}-{{\overline{\delta D}}_{w}} \right|=8.3\text{%},$for V = 0 cm3 (i.e., BDE plug without delineated “water cylinder”). The smallest difference of 0.1% between δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$was found for the largest investigated “water cylinder” of volume 0.573 cm3. This difference was statistically non-significant within 95% confidence limits (uc=1.9%).$\left( {{u}_{c}}=1.9\text{%} \right).$

Mean differences, δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$between calculated and measured doses in the bone density equivalent (BDE) part of the CIRS Thorax phantom for Dm and Dw calculation approaches, respectively. The absorbed doses were calculated using the Monaco ver. 5.11 treatment planning systems (TPS) in the center of delineated “water cylinders” of volume V, in the BDE part of the phantom. Corresponding combined uncertainties are denoted as uc,m and uc,w for dose-to-medium and dose-to-water calculation options, respectively

V [cm3]δD¯m${{\overline{\delta D}}_{m}}$[%]uc,m[%]δD¯w${{\overline{\delta D}}_{w}}$[%]uc,w[%]
0- 3.92.14.41.9
0.035- 2.61.52.51.9
0.141- 1.41.31.81.7
0.279- 0.31.21.21.5
0.5730.31.40.41.3
Discussion
Standard measurements in the CIRS Thorax phantom

Differences between calculated and measured doses in the water equivalent part of the CIRS Thorax semi-anthropomorphic phantom were within 1% and not significantly different from zero (Eqs. [6] and [7]), regardless of the applied calculation option. The latter is in good agreement with previously published data.9,16 Similarly, in lung density equivalent material, the calculated mean percentage dose differences were not significantly different than zero for both calculation modes, confirming the results from previously published studies.3,9,13

The differences between the two calculation approaches, dose-to-medium and dose-to-water, were, however, significant in BDE media (Table 2 and Figure 3). Andreo et al.9 have shown that a 10% difference in ICRP bone can be expected for Monaco ver. 5.0 TPS between two calculation modes after conversion of Dm to Dw. Results of the present study confirm those findings as well as the opposite signs of mean percentage dose differences for Dm and Dw reporting modes in the case when Monaco ver. 5.11 TPS has been used. Considerable differences between calculated dose distributions using Dm and Dw calculation approaches have also been reported in clinical studies.15,23

Differences between Dm and Dw calculation modes in the bone density equivalent part of the CIRS Thorax phantom

In the BDE part of the CIRS Thorax semi-anthropomorphic phantom, mean percentage dose differences δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$were calculated by applying Eqs. [1] and [2] for two phantom assemblies - standard and non-standard and three selected irradiation geometries, as shown in Table 2. In the case of nonstandard geometry, both δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$were within 1%, demonstrating that there is a negligible difference between applied calculation modes.

However, differences between the respective mean values δD¯m=3.9%${{\overline{\delta D}}_{m}}=-3.9\text{%}$and δD¯w=4.4%${{\overline{\delta D}}_{w}}=4.4\text{%}$were statistically significant if standard geometry was utilized. The latter case was also assumed as our first result in the part of the study where we attempted to find the volume of “water cylinder” delineated in the Monaco ver. 5.11 TPS for which the difference between δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$would become non-significant.

For further discussion, analysis, and graphical presentation, the exponential function was selected to fit the data from Table 3. The general form of the fitting function is given as

y=a+becx$$y=a+b\cdot {{e}^{cx}}$$

with fitting coefficients, a, b, and c. The dependent variable y denotes average values δD¯m${{\overline{\delta D}}_{m}}$and δD¯w,${{\overline{\delta D}}_{w}},$while x stands for volumes of delineated “water cylinders”. The explicit forms of the exponential fitting functions obtained were

δD¯m=0.3973.995e6.274.V$${{\overline{\delta D}}_{m}}=0.397-3.995\cdot {{e}^{-6.274.V}}$$δD¯w=0.526+3.510e8.131V$${{\overline{\delta D}}_{w}}=0.526+3.510\cdot {{e}^{-8.131\cdot V}}$$

for Dm and Dw reporting modes, respectively. Both functions from Eqs. [9] and[10] are graphically presented in Figure 4 having residual standard errors of the fit equal to 0.340% and 0.165% (on two degrees of freedom) for Dm and Dw calculation modes, respectively.

Figure 4

Average differences δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$between calculated and measured doses in the bone density equivalent (BDE) part of the CIRS Thorax phantom, as a function of the volumes of the simulated “water cylinders” (see Figure 2 and Table 3). δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$are presented as individual values/points calculated using Eqs. [1] to[4], and in the form of two analytical functions from Eqs. [9] and [10]. Error bars represent corresponding uncertainties within 95% confidence limits.

Applying Eqs. [9] and[10] for large volumes, we can see that δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$converge to the values of the free fitting coefficients a, i.e., δD¯m=am${{\overline{\delta D}}_{m}}={{a}_{m}}\cong $0.397% and δD¯w=aw${{\overline{\delta D}}_{w}}={{a}_{w}}\cong $0.526%. am and aw denote free fitting coefficients in Eqs. [9] and [10], respectively. Those values are non-significantly different from zero, thus in agreement with experimentally determined absorbed doses. From the latter observations, we can deduct two key facts, which form a basis for the recommended additional procedure to the existing methodology for the verification of the accuracy of the Monte Carlo based TPS we were aiming at. Briefly:

Differences |δD¯mδD¯w|$\left| {{\overline{\delta D}}_{m}}-{{\overline{\delta D}}_{w}} \right|$between dose-to-medium and dose-to-water calculation approaches gradually fade away as the volumes of “water cylinders” become larger and closer to the volume of the Farmer chamber;

|δD¯m|$\left| {{\overline{\delta D}}_{m}} \right|$and |δD¯w|$\left| {{\overline{\delta D}}_{w}} \right|$fall below 1% for volumes of delineated “water cylinders” larger than 0.3 cm3.

Irrespective of the fact that the ionization chamber is calibrated in terms of dose to water, we propose an additional verification test of the accuracy of the Monaco TPS calculation modes for BDE regions considering the mentioned observations:

One can select three simple irradiation geometries (single fields, different gantry angles) and perform measurements of absorbed doses with the Farmer type ionization chamber in the BDE part of CIRS Thorax semi-anthropomorphic phantom, using a BDE insert (“standard” geometry). The ionization chamber should be positioned at the central part of the radiation field, where the measured signal is sufficiently large.

Measured doses are compared to the calculated ones using both calculation modes, Dm and Dw applying Eqs. [1] to [4] for the additional four “water cylinders” delineated in the TPS.

Obtained mean values δDm¯$\overline{\delta {{D}_{m}}}$and δD¯w${{\overline{\delta D}}_{w}}$of the percentage dose differences are fitted by the analytical function from Eq. [8].

Finally, the acceptability of the tested TPS algorithm is based on two conditions, which have to be fulfilled concurrently:

Differences |δD¯mδD¯w|$\left| {{\overline{\delta D}}_{m}}-{{\overline{\delta D}}_{w}} \right|$between dose-to-medium and dose-to-water calculation approaches should fall within 1% for the “water cylinder” of volume 0.6 cm3,i.e.,

|δD¯m(V=0.6cm3)δD¯w(V=0.6cm3)|<1%$$\left| {{\overline{\delta D}}_{m}}\left( V=0.6\,c{{m}^{3}} \right)-{{\overline{\delta D}}_{w}}\left( V=0.6\,c{{m}^{3}} \right) \right|<1\text{%}$$

Fulfilment of this condition means that both calculation options yield to the same results within statistical uncertainty for large volumes, as expected. Since significant differences do exist for small volumes of delineated “water cylinders,” we have to consider this fact as well. The maximal difference |δD¯mδD¯w|$\left| {{\overline{\delta D}}_{m}}-{{\overline{\delta D}}_{w}} \right|$can be obtained from the corresponding fitting functions for V = 0 cm3 (in our study, the maximal difference between both calculation options was 7.6%).

Obtained values |δD¯m|$\left| {{\overline{\delta D}}_{m}} \right|$and |δD¯w|$\left| {{\overline{\delta D}}_{w}} \right|$have to fall below 1% (see Eqs [6] and [7]) for large volumes of delineated “water cylinders”. If this condition is fulfilled, one can conclude that TPS dose calculations are in agreement with experimentally determined doses for both calculation modes.

It is important to note that our investigation was limited to the region of charged particle equilibrium (CPE) and for 6 MV photon beam only.

Conclusions

In the present study, a Monte Carlo based calculation algorithm built in the Elekta Monaco ver. 5.11 TPS was analyzed for 6 MV photon beam. It was confirmed that both calculation approaches, dose-to-medium and dose-to-water, yield to the similar results in the water equivalent and lung density equivalent parts of the semi-anthropomorphic phantom and are in agreement with experimentally determined absorbed doses.

In the bone density equivalent part of the phantom, significant differences were observed when calculations were compared to the measured absorbed doses. While the dose-to-medium approach yields to lower doses compared to the measured ones, calculations utilizing the dose-to-water computing approach revealed similar differences but of opposite sign. The observed differences can lead to ambiguity regarding the acceptability of the verification results before the clinical implementation of a newly commissioned TPS Monaco.

To overcome the ambiguity on the pertinence of the verification results in the bone density equivalent material, a supplement to the current TPS commissioning methodology has been proposed, having in mind inherent differences between the two calculation modes. This supplement relies on the findings from the present study. We consider it as a consistent and efficient method for the experimental verification of the absorbed dose calculation in both calculation modes Dm and Dw. A proposed supplementary test to the present verification methodology of the algorithm built in the Monaco TPS can assure higher accuracy and confidence compared to the current methodology.

While the selection of beams in this study assumes conditions of charged particle equilibrium, it would be highly interesting and worthwhile to set-up the study where CPE is violated, e.g., for small fields where lateral CPE does not exist. However, an experimental determination of absorbed doses in small fields is demanding. It requires determination of detector specific correction factors, which have to be utilized individually for the selected detector and are associated with additional uncertainties.24, 25, 26 The latter can pose a problem to conduct such a study with sufficient reliability and robustness.

Figure 1

Photo of the semi-anthropomorphic CIRS Thorax phantom with interchangeable rod inserts (left) and its CT image (right). Positions of 10 interchangeable rod inserts are marked with numbers from 1 to 10. Five measuring points are in the water equivalent part of the phantom (grey area), four points are in the lung density equivalent material (black area), and one point is in the bone density equivalent part of the phantom (white area).
Photo of the semi-anthropomorphic CIRS Thorax phantom with interchangeable rod inserts (left) and its CT image (right). Positions of 10 interchangeable rod inserts are marked with numbers from 1 to 10. Five measuring points are in the water equivalent part of the phantom (grey area), four points are in the lung density equivalent material (black area), and one point is in the bone density equivalent part of the phantom (white area).

Figure 2

CT image of the CIRS Thorax phantom: water equivalent insert inside BDE part of the phantom (A); a BDE insert inside bone density equivalent (BDE) part of the phantom (B) and cross-section of small “water cylinders” of different dimensions delineated inside BDE part of the phantom to find limits for calculating geometry where cavity theory applies (top right).
CT image of the CIRS Thorax phantom: water equivalent insert inside BDE part of the phantom (A); a BDE insert inside bone density equivalent (BDE) part of the phantom (B) and cross-section of small “water cylinders” of different dimensions delineated inside BDE part of the phantom to find limits for calculating geometry where cavity theory applies (top right).

Figure 3

Mean percentage dose differences δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$between calculated and measured doses in different parts of the CIRS Thorax phantom (water, lung, and bone density equivalent materials) for both calculation options built in the Monaco TPS: dose-to-medium Dm and dose-to-water Dw. Error bars represent corresponding combined uncertainties.
Mean percentage dose differences δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$between calculated and measured doses in different parts of the CIRS Thorax phantom (water, lung, and bone density equivalent materials) for both calculation options built in the Monaco TPS: dose-to-medium Dm and dose-to-water Dw. Error bars represent corresponding combined uncertainties.

Figure 4

Average differences δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$between calculated and measured doses in the bone density equivalent (BDE) part of the CIRS Thorax phantom, as a function of the volumes of the simulated “water cylinders” (see Figure 2 and Table 3). δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$are presented as individual values/points calculated using Eqs. [1] to[4], and in the form of two analytical functions from Eqs. [9] and [10]. Error bars represent corresponding uncertainties within 95% confidence limits.
Average differences δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$between calculated and measured doses in the bone density equivalent (BDE) part of the CIRS Thorax phantom, as a function of the volumes of the simulated “water cylinders” (see Figure 2 and Table 3). δD¯m${{\overline{\delta D}}_{m}}$and δD¯w${{\overline{\delta D}}_{w}}$are presented as individual values/points calculated using Eqs. [1] to[4], and in the form of two analytical functions from Eqs. [9] and [10]. Error bars represent corresponding uncertainties within 95% confidence limits.

Differences δDm$\delta {{D}.{m}}$and δDw$\delta {{D}.{w}}$between two different calculation options in the Monaco ver. 5.11. treatment planning systems (TPS) and measured data obtained in the bone density equivalent (BDE) part of the CIRS Thorax phantom, according to Eqs. [1] and [2]. Two phantom assemblies and three simple beam setups were considered for this part of the study

Irradiation geometry (field, gantry)Phantom assemblyδDm[%]$\delta {{D}_{m}}\left[ \text{%} \right]$δDw[%]$\delta {{D}_{w}}\left[ \text{%} \right]$
(6+8) x 15 cm2Gantry = 0°standard

BDE insert with the ionization chamber placed in the BDE part of the phantom

- 2.92.9
non-standard

Water equivalent insert with the ionization chamber placed in the BDE part of the phantom

- 0.7- 0.2
(3+8) x 15 cm2Gantry = 90°standard

BDE insert with the ionization chamber placed in the BDE part of the phantom

- 3.05.1
non-standard

Water equivalent insert with the ionization chamber placed in the BDE part of the phantom

- 0.7- 0.1
(4+10) x 15 cm2Gantry = 180°standard

BDE insert with the ionization chamber placed in the BDE part of the phantom

- 5.75.4
non-standard

Water equivalent insert with the ionization chamber placed in the BDE part of the phantom

0.51.3

Mean differences, δD¯m${{\overline{\delta D}}.{m}}$and δD¯w${{\overline{\delta D}}.{w}}$between calculated and measured doses in the bone density equivalent (BDE) part of the CIRS Thorax phantom for Dm and Dw calculation approaches, respectively. The absorbed doses were calculated using the Monaco ver. 5.11 treatment planning systems (TPS) in the center of delineated “water cylinders” of volume V, in the BDE part of the phantom. Corresponding combined uncertainties are denoted as uc,m and uc,w for dose-to-medium and dose-to-water calculation options, respectively

V [cm3]δD¯m${{\overline{\delta D}}_{m}}$[%]uc,m[%]δD¯w${{\overline{\delta D}}_{w}}$[%]uc,w[%]
0- 3.92.14.41.9
0.035- 2.61.52.51.9
0.141- 1.41.31.81.7
0.279- 0.31.21.21.5
0.5730.31.40.41.3

Irradiation set-ups for measurements in 6 MV photon beam used for experimental verification of the Monaco ver. 5.11 treatment planning systems (TPS) calculation algorithm in the semi-anthropomorphic CIRS Thorax phantom. Reference and measuring points (I1 to I10) are shown in the last two columns; subscripts 1 to 10 correspond to the labelling in Figure 1

Set-upIrradiation geometryField size [cm2]SSD/SADGantry angle [°]reference pointmeasuring points
1Single square fields10×10SSD0I5I1, I3, I5-10
210×10SAD0I5I, I, I135-10
34×4SAD0I5I1-9
410×10SAD90I3I2-10
5Rectangular field10× 15SAD300I1I1, I4, I6-8, I10
6Single asymmetric fields(6+8)×15SAD0I5I1-10
7(3+8)×15SAD90I5I, I15-10
8(4+10)×15SAD180I5I1-3, I5-10
9(3+7)×15SAD300I5I2-10
12×10SAD0
104 fields (box)12×10SAD180I5I2-5
12×8SAD90
12×8SAD270
4×4SAD30
113 fields16×4SAD90I5I2, I5-9
16×4SAD270
12Diamond-shaped field14×14SAD0I3I1, I3, I5-10
13Irregular L shaped field/SAD45I1I1-2, I4-6, I8-10
14MLC cylinder shaped field/SAD0I2I1,2, I5, I8,9, I10
16×4SAD90
153 non-coplanar fields16×4SAD270I5I1, I5-6, I8, I10
4×4

Couch angle = 270°

SAD30

Andreo P, Cramb J, Fraass BA, Ionescu-Farca F, Izewska J, Levin V, et al. Technical report series No. 430: commissioning and quality assurance of computerised planning system for radiation treatment of cancer. Vienna: International Atomic Energy Agency; 2004.AndreoPCrambJFraassBAIonescu-FarcaFIzewskaJLevinVet alTechnical report series No. 430: commissioning and quality assurance of computerised planning system for radiation treatment of cancerViennaInternational Atomic Energy Agency;2004Search in Google Scholar

Brunckhorst E, Gershkevitsh E, Ibbott G, Korf G, Miller D, Schmidt R, et al. IAEA-TECDOC-1583 Commissioning of radiotherapy treatment planning systems: testing for typical external beam treatment techniques. Vienna: International Atomic Energy Agency; 2008.BrunckhorstEGershkevitshEIbbottGKorfGMillerDSchmidtRet alIAEA-TECDOC-1583 Commissioning of radiotherapy treatment planning systems: testing for typical external beam treatment techniquesViennaInternational Atomic Energy Agency;2008Search in Google Scholar

Kry SF, Alvarez P, Molineu A, Amador C, Galvin J, Followill DS, et al. Algorithms used in heterogeneous dose calculations show systematic differences as measured with the radiological Physics Center’s anthropomorphic thorax phantom used for RTOG credentialing. Int J Radiat Oncol Biol Phys 2013; 85: 95-100. doi: 10.1016/j.ijrobp.2012.08.039KrySFAlvarezPMolineuAAmadorCGalvinJFollowillDSet alAlgorithms used in heterogeneous dose calculations show systematic differences as measured with the radiological Physics Center’s anthropomorphic thorax phantom used for RTOG credentialingInt J Radiat Oncol Biol Phys2013859510010.1016/j.ijrobp.2012.08.039352285523237006Open DOISearch in Google Scholar

The Netherlands Commission of Radiation Dosimetry. Code of practice for the quality assurance and control for intensity modulated radiotherapy. Delft, Netherlands; 2013.The Netherlands Commission of Radiation Dosimetry. Code of practice for the quality assurance and control for intensity modulated radiotherapyDelft, Netherlands;2013Search in Google Scholar

Smilowitz JB, Das IJ, Feygelman V, Fraass BA, Kry SF, Marshall IR, et al. AAPM Medical Physics Practice Guideline 5.a.: Commissioning and QA of treatment planning dose calculations - megavoltage photon and electron beams. J Appl Clin Med Phys 2015; 16: 14-34. doi: 10.1120/jacmp.v16i5.5768SmilowitzJBDasIJFeygelmanVFraassBAKrySFMarshallIRet alAAPM Medical Physics Practice Guideline 5.a.: Commissioning and QA of treatment planning dose calculations - megavoltage photon and electron beamsJ Appl Clin Med Phys201516143410.1120/jacmp.v16i5.5768569015426699330Open DOISearch in Google Scholar

Van Dyk J, Battista J. Has the use of computers in radiation therapy improved the accuracy in radiation dose delivery? J Phys Conf Ser 2014; 489: 012098. doi: 10.1088/1742-6596/489/1/012098VanDyk JBattistaJHas the use of computers in radiation therapy improved the accuracy in radiation dose delivery?J Phys Conf Ser201448901209810.1088/1742-6596/489/1/012098Open DOISearch in Google Scholar

Fogliata A, Cozzi L. Dose calculation algorithm accuracy for small fields in non-homogeneous media: the lung SBRT case. Phys Med 2017; 44: 157-62. doi: 10.1016/j.ejmp.2016.11.104FogliataACozziLDose calculation algorithm accuracy for small fields in non-homogeneous media: the lung SBRT casePhys Med2017441576210.1016/j.ejmp.2016.11.10427890568Open DOISearch in Google Scholar

Reynaert N, Crop F, Sterpin E. On the conversion of dose to bone to dose to water in radiotherapy treatment planning systems. Phys Imaging Radiat Oncol 2018; 5: 26-30. 2018. doi: 10.1016/j.phro.2018.01.004ReynaertNCropFSterpinEOn the conversion of dose to bone to dose to water in radiotherapy treatment planning systemsPhys Imaging Radiat Oncol201852630201810.1016/j.phro.2018.01.004780755533458365Open DOISearch in Google Scholar

Andreo P. Dose to ‘water-like’ media or dose to tissue in MV photons radiotherapy treatment planning: still a matter of debate. Phys Med Biol 2015; 60: 309-37. doi: 10.1088/0031-9155/60/1/309AndreoPDose to ‘water-like’ media or dose to tissue in MV photons radiotherapy treatment planning: still a matter of debatePhys Med Biol2015603093710.1088/0031-9155/60/1/30925503312Open DOISearch in Google Scholar

Chetty IJ, Curran B, Cygler JE, DeMarco JJ, Ezzell G, Faddegonet BA, et al. Report of the AAPM Task Group No. 105: issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning. Med Phys 2007; 34: 4818-53. doi: 10.1118/1.2795842ChettyIJCurranBCyglerJEDeMarcoJJEzzellGFaddegonetBAet alReport of the AAPM Task Group No105: issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning. Med Phys20073448185310.1118/1.279584218196810Open DOISearch in Google Scholar

Liu HH, Keal P. Dm rather than Dw should be used in Monte Carlo treatment planning. (Point/Counterpoint), Med Phys 2002; 29: 922-4. doi. 10.1118/1.1473137LiuHHKealPDm rather than Dw should be used in Monte Carlo treatment planning(Point/Counterpoint), Med Phys200229922410.1118/1.147313712033589Open DOISearch in Google Scholar

Ma C-M, Li J, Dose specification for radiation therapy: dose to water or dose to medium? Phys Med Biol 2011; 56: 3073-89. doi: 10.1088/00319155/56/10/012MaC-MLiJDose specification for radiation therapy: dose to water or dose to medium?Phys Med Biol20115630738910.1088/00319155/56/10/012Open DOISearch in Google Scholar

Reynaert N, Van der Marck S, Schaart D, Van der Zee W, Van VlietVroegindeweij C, Tomsej M, et al. Monte Carlo treatment planning for photon and electron beams. Radiat Phys Chem 2007; 76: 643-86. doi: 10.1016/j.radphyschem.2006.05.015ReynaertNVander Marck SSchaartDVander Zee WVanVlietVroegindeweij CTomsejMet alMonte Carlo treatment planning for photon and electron beamsRadiat Phys Chem2007766438610.1016/j.radphyschem.2006.05.015Open DOISearch in Google Scholar

Dogan N, Siebers JV, Keall PJ. Clinical comparison of head and neck and prostate IMRT plans using absorbed dose to medium and absorbed dose to water Phys Med Biol 2006; 51: 4967-80. doi: 10.1088/0031-9155/51/19/015DoganNSiebersJVKeallPJClinical comparison of head and neck and prostate IMRT plans using absorbed dose to medium and absorbed dose to waterPhys Med Biol20065149678010.1088/0031-9155/51/19/01516985281Open DOISearch in Google Scholar

Walters BRB, Kramer R, Kawrakow I. Dose to medium versus dose to water as an estimator of dose to sensitive skeletal tissue. Phys Med Biol 2010; 55: 4535-46. doi: 10.1088/0031-9155/55/16/S08WaltersBRBKramerRKawrakowIDose to medium versus dose to water as an estimator of dose to sensitive skeletal tissuePhys Med Biol20105545354610.1088/0031-9155/55/16/S0820668336Open DOISearch in Google Scholar

Sterpin E. Potential pitfalls of the PTV concept in dose-to-medium planning optimization. Phys Med 2016; 32: 1103-10. doi: 10.1016/j.ejmp.2016.08.009SterpinEPotential pitfalls of the PTV concept in dose-to-medium planning optimizationPhys Med20163211031010.1016/j.ejmp.2016.08.00927546868Open DOISearch in Google Scholar

Siebers JV, Keall PJ, Nahum AE. Converting absorbed dose to medium to absorbed dose to water for Monte Carlo based photon beam dose calculations. Phys Med Biol 2000 45: 983-95. doi: 10.1088/0031-9155/45/4/313SiebersJVKeallPJNahumAEConverting absorbed dose to medium to absorbed dose to water for Monte Carlo based photon beam dose calculationsPhys Med Biol2000459839510.1088/0031-9155/45/4/31310795986Open DOISearch in Google Scholar

Abratt R, Aguirre F, Andreo P, Coffey M, Drew J, El Gueddari B, et al. IAEA Comprehensive audits of radiotherapy practices: a tool for quality improvement quality assurance team for radiation oncology-QUATRO. Vienna: International Atomic Energy Agency; 2007.AbrattRAguirreFAndreoPCoffeyMDrewJElGueddari Bet alIAEA Comprehensive audits of radiotherapy practices: a tool for quality improvement quality assurance team for radiation oncology-QUATROViennaInternational Atomic Energy Agency;2007Search in Google Scholar

Ezzell GA, Galvin JM, Low D, Palta J, Rosen I, Sharpe MB, et al. Guidance document on delivery, treatment planning, and clinical implementation of IMRT: report of the IMRT Subcommittee of the AAPM radiation therapy committee. Med Phys 2003; 30: 2089-115. doi: 10.1118/1.1591194EzzellGAGalvinJMLowDPaltaJRosenISharpeMBet alGuidance document on delivery, treatment planning, and clinical implementation of IMRT: report of the IMRT Subcommittee of the AAPM radiation therapy committeeMed Phys200330208911510.1118/1.159119412945975Open DOISearch in Google Scholar

Klein EE, Hanley J, Bayouth J, Yin FF, Simon W, Dresser S, et al. Task Group 142 report: quality assurance of medical accelerators. Med Phys 2009; 36: 4197-212. doi: 10.1118/1.3190392KleinEEHanleyJBayouthJYinFFSimonWDresserSet alTask Group 142 report: quality assurance of medical acceleratorsMed Phys200936419721210.1118/1.319039219810494Open DOISearch in Google Scholar

Ezzell GA, Burmeister JW, Dogan N, LoSasso TJ, Mechalakos JG, Mihailidis D, IMRT commissioning: multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119. Med Phys 2009; 36: 5359-73. doi: 10.1118/1.3238104EzzellGABurmeisterJWDoganNLoSassoTJMechalakosJGMihailidisDIMRT commissioning: multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119Med Phys20093653597310.1118/1.323810419994544Open DOISearch in Google Scholar

Andreo P, Burns DT, Hohlfeld K, Huq MS, Kanai T, Laitano F, et al. 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: International Atomic Energy Agency; 2006.AndreoPBurnsDTHohlfeldKHuqMSKanaiTLaitanoFet alAbsorbed dose determination in external beam radiotherapy: An international code of practice for dosimetry based on standards of absorbed dose to water. IAEA TRS-398ViennaInternational Atomic Energy Agency;2006Search in Google Scholar

Smilović Radojčić Đ, Švabić Kolacio M, Radojčić M, Rajlić D, Casar B, Faj D, et al. Comparison of calculated dose distributions reported as dose-to-water and dose-to-medium for intensity-modulated radiotherapy of nasopharyngeal cancer patients. Med Dos 2018; 43: 363-9. doi: 10.1016/j. meddos.2017.11.008SmilovićRadojčić ĐŠvabićKolacio MRadojčićMRajlićDCasarBFajDet alComparison of calculated dose distributions reported as dose-to-water and dose-to-medium for intensity-modulated radiotherapy of nasopharyngeal cancer patientsMed Dos201843363910.1016/j.meddos.2017.11.00829306538Open DOISearch in Google Scholar

Palmans H, Andreo P, Huq MS, Christaki K, Alfonso R, Izewska J, et al. Dosimetry of small static fields used in external beam radiotherapy: An International Code of Practice for reference and relative dose determination. Technical Report Series No. 483. IAEA TRS483. Vienna: International Atomic Energy Agency; 2017. doi: 10.1002/mp.13208PalmansHAndreoPHuqMSChristakiKAlfonsoRIzewskaJet alDosimetry of small static fields used in external beam radiotherapy: An International Code of Practice for reference and relative dose determination. Technical Report Series No. 483. IAEA TRS483ViennaInternational Atomic Energy Agency;201710.1002/mp.1320830247757Open DOISearch in Google Scholar

Casar B, Gershkevitsh E, Mendez I, Jurkovic S, Huq MS. A novel method for the determination of field output factors and output correction factors for small static fields for six diodes and a microdiamond detector in megavoltage photon beams. Med Phys 2019; 46: 944-63. doi: 10.1002/mp.13318CasarBGershkevitshEMendezIJurkovicSHuqMSA novel method for the determination of field output factors and output correction factors for small static fields for six diodes and a microdiamond detector in megavoltage photon beamsMed Phys2019469446310.1002/mp.13318737962930521073Open DOISearch in Google Scholar

Casar B, Gershkevitsh E, Mendez I, Jurkovic S, Huq MS. Output correction factors for small static fields in megavoltage photon beams for seven ionization chambers in two orientations - perpendicular and parallel. Med Phys 2020; 47: 242-59. doi: 10.1002/mp.13894CasarBGershkevitshEMendezIJurkovicSHuqMSOutput correction factors for small static fields in megavoltage photon beams for seven ionization chambers in two orientations - perpendicular and parallelMed Phys2020472425910.1002/mp.13894700376331677278Open DOISearch in Google Scholar

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