검색
검색 팝업 닫기

Ex) Article Title, Author, Keywords

Article

Split Viewer

Original Article

Progress in Medical Physics 2020; 31(4): 163-171

Published online December 31, 2020

https://doi.org/10.14316/pmp.2020.31.4.163

Copyright © Korean Society of Medical Physics.

Improvement of Calculation Accuracy in the Electron Monte Carlo Algorithm with Optional Air Profile Measurements

Jiwon Sung1 , Hyeongmin Jin1 , Jeongho Kim1 , Jong Min Park1,2,3,4 , Jung-in Kim1,2,3 , Chang Heon Choi1,2,3 , Minsoo Chun1,2,3

1Department of Radiation Oncology, Seoul National University Hospital, 2Biomedical Research Institute, Seoul National University Hospital, 3Institute of Radiation Medicine, Seoul National University Medical Research Center, 4Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea

Correspondence to:Minsoo Chun
(ms1236@snu.ac.kr)
Tel: 82-2-2072-4160
Fax: 82-2-765-3317

Received: September 1, 2020; Revised: October 23, 2020; Accepted: November 9, 2020

Purpose: In this study, the accuracies of electron Monte Carlo (eMC) calculation algorithms were evaluated to determine whether electron beams were modeled by optional air profiles (APs) designed for each applicator size.
Methods: Electron beams with the energies of 6, 9, 12, and 16 MeV for VitalBeam (Varian Medical System, Palo Alto, CA, USA) and 6, 9, 12, 16, and 20 MeV for Clinac iX (Varian Medical System) were used. Optional APs were measured at the source-to-detector distance of 95 cm with jaw openings appropriate for each machine, electron beam energy, and applicator size. The measured optional APs were postprocessed and converted into the w2CAD format. Then, the electron beams were modeled and calculated with and without optional APs. Measured profiles, percentage depth doses, penumbras with respect to each machine, and energy were compared to calculated dose distributions.
Results: For VitalBeam, the profile differences between the measurement and calculation were reduced by 0.35%, 0.15%, 0.14%, and 0.38% at 6, 9, 12, and 16 MeV, respectively, when the beams were modeled with APs. For Clinac iX, the differences were decreased by 0.16%, -0.31%, 0.94%, 0.42%, and 0.74%, at 6, 9, 12, 16, and 20 MeV, respectively, with the insertion of APs. Of note, no significant improvements in penumbra and percentage depth dose were observed, although the beam models were configured with APs.
Conclusions: The accuracy of the eMC calculation can be improved in profiles when electron beams are modeled with optional APs.

KeywordsElectron Monte Carlo, Air profile measurement, Electron applicator, Beam configuration, Eclipse treatment planning system

Monte Carlo (MC) simulation is one of the most accurate methods for calculating dose distributions, particularly in heterogeneous tissues, where the effects of electron transport cannot be accurately modeled with conventional deterministic dose calculation algorithms [1,2]. Despite the accuracy of the MC simulation, large calculation times have limited its application in clinical routines [3]. Recently, with an increase in the computer processing speed, the performance of the MC algorithm has been improved, and the MC dose calculation became acceptable for clinical treatment planning with electron beams [4-6]. The electron Monte Carlo (eMC) algorithm is based on the macro MC method for the electron beam in the Eclipse treatment planning system (Varian Medical System, Palo Alto, CA, USA) [7-9]. The eMC algorithm increases the calculation speed while preserving the calculation accuracy in heterogeneous internal parts of patients, such as the lung and oral cavity [10,11].

However, some limitations hinder the use of the eMC algorithm. Several studies have demonstrated discrepancies between measurements and calculations, particularly for lower electron energies, smaller applicator sizes, and larger source-to-surface distances (SSDs) [10,12-14]. In the buildup region at 4 MeV, the eMC algorithm produces up to 5.4% lower absorbed dose than that of the full MC model. In the penumbra and out-of-field regions in water, the eMC calculation underestimates the absorbed doses by up to 3.3%, compared to the full MC model [15]. The eMC calculation overestimates the absorbed dose toward the shoulder region with a 25×25 cm2 applicator at increased SSDs [15].

Varian Medical System has announced that the beam configuration with air profiles (APs) can improve the calculation accuracy with AP measurements at the source-to-detector distance (SDD) of 95 cm where the collimator jaws open appropriately for each machine, energy, and applicator [16]. The purpose of this study is to evaluate the performances of the eMC algorithm with the insertion of APs in terms of profile, percentage depth dose (PDD), and penumbra.

1. AP measurements and beam configuration

This study was conducted within electron energy ranges used at the author’s hospital. The electron energies of 6, 9, 12, and 16 MeV for VitalBeam (Varian Medical System) and 6, 9, 12, 16, and 20 MeV for the Clinac iX linear accelerator were used in this study. A Blue Phantom2 scanning system (IBA Dosimetry GmbH, Schwarzenbruck, Germany) and two CC13 cylindrical ionization chambers (IBA Dosimetry GmbH) were used to acquire APs. The field chamber was placed at the SDD of 95 cm in air to measure APs. To remove pulsed beam fluctuations, the reference chamber was placed so that the active volume could be fully covered by the corresponding field sizes [17]. The measurement setup for APs is illustrated in Fig. 1a. The in-line and cross-line APs were measured, in which jaw positions were opened according to the applicator without an attached applicator [16]. The jaw sizes for each machine, energy, and applicator size are shown in Table 1. The measured APs were postprocessed by smoothing and rescaling; then, they were converted into the w2CAD format to register the measured beam data to Eclipse. The final APs with the w2CAD format were imported and configured according to the Eclipse reference guide document [16].

Table 1 Jaw openings according to the applicator sizes and energies for VitalBeam and Clinac iX

Applicator size (cm2)Jaw openings (cm2)

VitalBeamClinac iX


6 MeV9 MeV12 MeV16 MeV6 MeV9 MeV12 MeV16 MeV20 MeV
6×620×2020×2011×1111×1120×2020×2011×1111×1111×11
10×1022×2220×2015×1515×1520×2020×2014×1414×1414×14
15×1522×2220×2019×1918×1820×2020×2017×1717×1717×17
20×2027×2725×2525×2523×2325×2525×2525×2523×2322×22
25×2532×3230×3030×3028×2830×3030×3030×3028×2827×27

Figure 1.Schematic diagrams of the measurement setup for (a) optional air profiles and (b) verifications.

2. Measurement of the reference dose distribution

To evaluate the accuracy of the eMC algorithm with APs, the dose profiles and PDD curves were measured using the Blue Phantom2 scanning system. The measurement setup for reference dose distributions is shown in Fig. 1b. Blue Phantom2 was positioned with the SSD of 100 cm. Similar to the measurement of APs, to remove pulsed beam fluctuations, the reference chamber was placed where the active volume could be fully covered by the corresponding field sizes [17]. For VitalBeam, the profiles were measured at the depth of 1.18, 1.58, 2.20 and 2.90 cm at 6, 9, 12, and 16 MeV, respectively. For Clinac iX, the measurement depths were 1.00, 1.40, 2.00, 2.70, and 3.30 cm at 6, 9, 12, 16, and 20 MeV, respectively. The depths were shifted upward by 0.15 cm, considering the effective measurement point, with an A25 applicator (25×25 cm2) and normalized to 100% at the center of the profiles. The PDD curves were measured with an A10 applicator (10×10 cm2) and normalized to 100% at the depth of the maximum dose.

3. eMC calculation

The dose distributions were calculated in a 40×40×40 cm3 virtual water phantom using beam models with and without APs. The eMC calculation options used in this study are listed in Table 2. For the number of particle histories option, the zero value means that the eMC calculation uses as many particles as required to reach the statistical uncertainty set in statistical uncertainty option. The random generator seed number is defined as the random number sequence used in the particle generator. If the seed value is set to 0, the EMC algorithm uses a randomly selected seed. The dose threshold for uncertainty was defined as the dose threshold to calculate statistical uncertainty [16]. The dose distributions with A25 applicators were exported in the coronal plane and normalized to 100% at the center of the profile using the RIT software (Radiological Imaging Technology, Inc., Colorado Springs, CO, USA). The absolute differences between calculated and measured dose distributions were averaged in the range of −10 to 10 cm to represent the discrepancies between the models with and without APs. The PDDs with A10 applicators were obtained and normalized to 100% at the depth of the dose maximum. Considering the effective measurement point, the comparison between the calculated and measured PDDs was started from the depth of 0.15 cm. Both calculated and measured penumbras were obtained by averaging the distances of the right and left sides between 20% and 90% of the central axis dose in the dose profiles [18].

Table 2 Electron Monte Carlo (eMC) calculation parameters used in this study

Calculation parameterValue
Statistical uncertainty1
Statistical uncertainty limit3
Calculation grid size in cm0.25
Random generator seed number0
Number of particle histories0
Dose threshold for uncertainty50
Smoothing methodThree-dimensional Gaussian
Smoothing levelMedium

The discrepancies in the profiles between the measurements and calculations for VitalBeam are summarized in Table 3, while the sample distributions at 6 and 16 MeV are shown in Fig. 2. The accuracy of calculated profile was improved by 0.35%, 0.15%, 0.14%, and 0.38% on average at 6, 9, 12, and 16 MeV, respectively, when the beams were modeled with APs. For all energies, the calculations with APs improved the accuracy up to 0.5%. Although the calculations with APs still exhibited over- and under-estimation tendencies, the discrepancies were reduced at both low and high energies. The discrepancies in the profiles between the measurements and calculations for Clinac iX are summarized in Table 3, while the sample distributions at 6 and 20 MeV are shown in Fig. 3. The discrepancies were reduced by 0.16%, −0.31%, 0.94%, 0.42%, and 0.74% on average at 6, 9, 12, 16, and 20 MeV, respectively, with the insertion of APs. Except at 9 MeV, the calculations with APs improved the accuracy up to 0.95%. The calculations with APs at 9 MeV had lower accuracy than those without APs of 0.17% and 0.45% for the in-line and cross-line profiles, respectively.

Table 3 Improvements between measurements and calculations for VitalBeam and Clinac iX

Energy (MeV)DirectionVitalBeamClinac iX


Measurement depth (cm)Calculation–measurement* (%)Improvement (%)Measurement depth (cm)Calculation–measurement* (%)Improvement (%)


Without APWith APWithout APWith AP
6In-line1.181.080.690.381.000.650.450.20
Cross-line1.070.750.320.480.370.11
9In-line1.580.910.670.241.400.230.40−0.17
Cross-line0.760.710.050.150.60−0.45
12In-line2.200.320.120.202.001.160.210.95
Cross-line0.190.110.081.200.280.92
16In-line2.900.960.460.502.700.690.220.47
Cross-line0.660.400.260.950.590.36
20In-line----3.301.310.450.86
Cross-line---1.070.460.61

Figure 2.Measured and calculated profiles with and without air profiles (APs) for VitalBeam: (a, c) in-line and (b, d) cross-line profiles at 6 and 16 MeV, respectively.

Figure 3.Measured and calculated profiles with and without air profiles (APs) for Clinac iX: (a, c) in-line and (b, d) cross-line profiles at 6 and 20 MeV, respectively.

The penumbras are shown in Table 4. For Clinac iX, the penumbra difference between the measurement and calculation without AP was up to 0.10 cm, while that with AP was up to 0.15 cm. For VitalBeam, the maximum difference between the measurement and calculation was 0.25 cm for both cases. Of note, no significant change in the difference between the measured and calculated penumbras was observed between the cases with and without AP. Table 5 shows the maximum and average difference between the PDD measurement and calculation with or without APs, while the sample distributions at low (6 MeV) and high (16 and 20 MeV) energies are shown in Fig. 4. For VitalBeam, although the measured PDDs exhibited differences up to 6.09%, 2.99%, 1.71%, and 1.45% without APs, those with APs were 5.68%, 3.02%, 1.95%, and 1.13% at 6, 9, 12, and 16 MeV, respectively. For Clinac iX, the measured PDDs exhibited differences up to 5.07%, 2.82%, 1.72%, 1.74%, and 0.82% without APs, while those with APs were 5.24%, 3.03%, 1.50%, 1.29%, and 1.00% at 6, 9, 12, 16, and 20 MeV, respectively. Large discrepancies were usually observed in the buildup region, particularly at low energies. This could not be improved even using eMC models with APs.

Table 4 Comparison between the measurements and calculations for the penumbras for VitalBeam and Clinac iX

Energy(MeV)DirectionVitalBeamClinac iX


Measurement depth (cm)Calculation (cm)Measurement (cm)Measurement depth (cm)Calculation (cm)Measurement (cm)


Without APWith APWithout APWith AP
6In-line1.181.301.381.331.001.201.301.30
Cross-line1.301.351.30 1.201.301.28
9In-line1.581.101.100.981.401.151.181.15
Cross-line1.051.100.95 1.101.151.05
12In-line2.201.151.150.952.001.131.181.05
Cross-line1.151.150.95 1.151.101.08
16In-line2.901.251.281.032.701.181.231.13
Cross-line1.251.251.00 1.201.201.15
20In-line----3.301.331.431.28
Cross-line---1.301.401.30

Table 5 Comparison of the mean and maximum differences in PDDs between the measurements and calculations for VitalBeam and Clinac iX

Energy(MeV)VitalBeamClinac iX


With APWithout APWith APWithout AP




Mean (%)Maximum (%)Mean (%)Maximum (%)Mean (%)Maximum (%)Mean (%)Maximum (%)
61.455.681.526.090.645.240.625.07
91.283.021.352.990.503.030.472.82
120.941.950.841.710.291.500.361.72
160.481.130.421.450.331.290.551.74
20----0.161.000.220.82

Figure 4.Comparison of the measured and calculated percentage depth dose (PDD) curves with and without air profiles (Aps) and corresponding dose differences at (a) 6 and (c) 16 MeV for VitalBeam and at (b) 6 and (d) 20 MeV for Clinac iX. Calculation with AP–measurement, difference between the calculation with AP and measurement value; Calculation without AP–measurement, difference between the calculation without AP and measurement value.

In this study, the accuracy of the eMC calculation was evaluated when the electron beams were modeled with optional APs in the treatment planning system. The accuracies of profiles were improved by modeling the electron beam with optional APs. The differences could be minimized when the electron beams were modeled by adding optional APs. Specifically, this reduction was considerable in the shoulder regions where the profiles were near the dose fall-off. According to the manufacturer’s document, optional APs could construct two-dimensional fluences in beam modeling. If optional AP was not measured, the radially symmetric fluences from the open field APs (40×40 cm2) are used for dose calculation. Because the actual fluences for each applicator size differ from those of open fields, the jaw size-specific measurements can improve the accuracies. The dose calculation accuracy for a given applicator can be improved by constructing a two-dimensional fluence that is appropriate for each applicator. Otherwise, the symmetric fluence in air with a 40×40 cm2 open field can be applied for all applicators during the dose calculation [14,16]. To consider these properties, Varian Medical System recommends to include optional APs for the electron beam configuration [16].

Although no significant improvements in PDDs and penumbras were observed when eMCs were modeled with optional APs, the accuracies of profiles were improved overall. The PDD differences between measurement and eMC calculation have been reported in many studies [4,19,20], although electron beams have been modeled without optional APs. For 4 MeV, the eMC algorithm produced up to 5.4% lower doses than those of the full MC model in the buildup region and over-estimated the dose by up to 5.2% beyond the depth of the dose maximum, particularly at the end of the electron range [15]. This result could not be improved even with APs. The eMC algorithm largely underestimated the doses near the surface and overestimated them near the end point of the fall-off region compared to the measurement. Because this behavior was emphasized at low energies, the treatment plan should be carefully designed at low electron energy and prescription depth in the superficial region. It is necessary to improve the eMC algorithm to improve the calculation accuracy at low energy.

The accuracy of eMC calculation can be improved in dose profiles when the electron beams are modeled with optional APs.

This work was supported by the National Research Foundation of Korea (NRF), grant funded by the Korea government (MSIT) (2019R1F1A1041944), and the Radiation Technology R&D program through the National Research Foundation of Korea funded by the Ministry of Science and ICT (2019M2A2B4095126).


Conceptualization: Minsoo Chun, Jung-in Kim. Data curation and formal analysis: Jeongho Kim, Jiwon Sung. Funding acquisition: Minsoo Chun, Chang Heon Choi. Investigation: Jiwon Sung, Minsoo Chun. Methodology: Jiwon Sung, Hyeongmin Jin, Minsoo Chun. Supervision: Minsoo Chun, Jong Min Park, Jung-in Kim. Validation: Jiwon Sung, Jeongho Kim. Writing–original draft: Jiwon Sung. Writing–review & editing: Minsoo Chun.

  1. Ma CMC, Chetty IJ, Deng J, Faddegon B, Jiang SB, Li J, et al. Beam modeling and beam model commissioning for Monte Carlo dose calculation-based radiation therapy treatment planning: Report of AAPM Task Group 157. Med Phys. 2020;47:e1-e18.
    Pubmed CrossRef
  2. Wanklyn MD, Kidane G, Crees L. Verification measurements of an eMC algorithm using a 2D ion chamber array. J Appl Clin Med Phys. 2016;17:320-328.
    Pubmed KoreaMed CrossRef
  3. Chetty IJ, Curran B, Cygler JE, DeMarco JJ, Ezzell G, Faddegon 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;34:4818-4853.
    Pubmed CrossRef
  4. Pemler P, Besserer J, Schneider U, Neuenschwander H. Evaluation of a commercial electron treatment planning system based on Monte Carlo techniques (eMC). Z Med Phys. 2006;16:313-329.
    Pubmed CrossRef
  5. Fix MK, Frei D, Volken W, Neuenschwander H, Born EJ, Manser P. Monte Carlo dose calculation improvements for low energy electron beams using eMC. Phys Med Biol. 2010;55:4577-4588.
    Pubmed CrossRef
  6. Cygler JE, Daskalov GM, Chan GH, Ding GX. Evaluation of the first commercial Monte Carlo dose calculation engine for electron beam treatment planning. Med Phys. 2004;31:142-153.
    Pubmed CrossRef
  7. Xu Z, Walsh SE, Telivala TP, Meek AG, Yang G. Evaluation of the eclipse electron Monte Carlo dose calculation for small fields. J Appl Clin Med Phys. 2009;10:75-85.
    Pubmed KoreaMed CrossRef
  8. Ding GX, Duggan DM, Coffey CW, Shokrani P, Cygler JE. First macro Monte Carlo based commercial dose calculation module for electron beam treatment planning--new issues for clinical consideration. Phys Med Biol. 2006;51:2781-2799.
    Pubmed CrossRef
  9. Neuenschwander H, Born EJ. A macro Monte Carlo method for electron beam dose calculations. Phys Med Biol. 1992;37:107-125.
    CrossRef
  10. Zhang A, Wen N, Nurushev T, Burmeister J, Chetty IJ. Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm. J Appl Clin Med Phys. 2013;14:127-145.
    Pubmed KoreaMed CrossRef
  11. Chamberland E, Beaulieu L, Lachance B. Evaluation of an electron Monte Carlo dose calculation algorithm for treatment planning. J Appl Clin Med Phys. 2015;16:60-79.
    Pubmed KoreaMed CrossRef
  12. Łukomska S, Kukołowicz P, Zawadzka A, Gruda M, Giżyńska M, Jankowska A, et al. Evaluation of the usefulness of the electron Monte Carlo algorithm for planning radiotherapy with the use of electron beams. Pol J Med Phys Eng. 2016;22:49-54.
    CrossRef
  13. Jong WL, Ung NM, Tiong AHL, Rosenfeld AB, Wong JHD. Characterisation of a MOSFET-based detector for dose measurement under megavoltage electron beam radiotherapy. Radiat Phys Chem. 2018;144:76-84.
    CrossRef
  14. Fix MK, Cygler J, Frei D, Volken W, Neuenschwander H, Born EJ, et al. Generalized eMC implementation for Monte Carlo dose calculation of electron beams from different machine types. Phys Med Biol. 2013;58:2841-2859.
    Pubmed CrossRef
  15. Ojala J, Kapanen M, Hyödynmaa S. Full Monte Carlo and measurement-based overall performance assessment of improved clinical implementation of eMC algorithm with emphasis on lower energy range. Phys Med. 2016;32:801-811.
    Pubmed CrossRef
  16. Varian Medical Systems. Eclipse photon and electron algorithms reference guide. Palo Alto: Varian Medical Systems; 2015.
  17. Shimozato T, Kojima T, Sakamoto M, Hata Y, Sasaki K, Araki N. Evaluating the output stability of LINAC with a reference detector using 3D water phantom. Igaku Butsuri. 2012;32:176-181.
    Pubmed
  18. Khan FM, Gibbons JP. Khan’s the physics of radiation therapy. Philadelphia: Lippincott Williams & Wilkins; 2014.
  19. Brualla L, Palanco-Zamora R, Wittig A, Sempau J, Sauerwein W. Comparison between PENELOPE and electron Monte Carlo simulations of electron fields used in the treatment of conjunctival lymphoma. Phys Med Biol. 2009;54:5469-5481.
    Pubmed CrossRef
  20. Edimo P, Kwato Njock MG, Vynckier S. Validation of XiO Electron Monte Carlo-based calculations by measurements in a homogeneous phantom and by EGSnrc calculations in a heterogeneous phantom. Phys Med. 2013;29:631-638.
    Pubmed CrossRef

Article

Original Article

Progress in Medical Physics 2020; 31(4): 163-171

Published online December 31, 2020 https://doi.org/10.14316/pmp.2020.31.4.163

Copyright © Korean Society of Medical Physics.

Improvement of Calculation Accuracy in the Electron Monte Carlo Algorithm with Optional Air Profile Measurements

Jiwon Sung1 , Hyeongmin Jin1 , Jeongho Kim1 , Jong Min Park1,2,3,4 , Jung-in Kim1,2,3 , Chang Heon Choi1,2,3 , Minsoo Chun1,2,3

1Department of Radiation Oncology, Seoul National University Hospital, 2Biomedical Research Institute, Seoul National University Hospital, 3Institute of Radiation Medicine, Seoul National University Medical Research Center, 4Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea

Correspondence to:Minsoo Chun
(ms1236@snu.ac.kr)
Tel: 82-2-2072-4160
Fax: 82-2-765-3317

Received: September 1, 2020; Revised: October 23, 2020; Accepted: November 9, 2020

Abstract

Purpose: In this study, the accuracies of electron Monte Carlo (eMC) calculation algorithms were evaluated to determine whether electron beams were modeled by optional air profiles (APs) designed for each applicator size.
Methods: Electron beams with the energies of 6, 9, 12, and 16 MeV for VitalBeam (Varian Medical System, Palo Alto, CA, USA) and 6, 9, 12, 16, and 20 MeV for Clinac iX (Varian Medical System) were used. Optional APs were measured at the source-to-detector distance of 95 cm with jaw openings appropriate for each machine, electron beam energy, and applicator size. The measured optional APs were postprocessed and converted into the w2CAD format. Then, the electron beams were modeled and calculated with and without optional APs. Measured profiles, percentage depth doses, penumbras with respect to each machine, and energy were compared to calculated dose distributions.
Results: For VitalBeam, the profile differences between the measurement and calculation were reduced by 0.35%, 0.15%, 0.14%, and 0.38% at 6, 9, 12, and 16 MeV, respectively, when the beams were modeled with APs. For Clinac iX, the differences were decreased by 0.16%, -0.31%, 0.94%, 0.42%, and 0.74%, at 6, 9, 12, 16, and 20 MeV, respectively, with the insertion of APs. Of note, no significant improvements in penumbra and percentage depth dose were observed, although the beam models were configured with APs.
Conclusions: The accuracy of the eMC calculation can be improved in profiles when electron beams are modeled with optional APs.

Keywords: Electron Monte Carlo, Air profile measurement, Electron applicator, Beam configuration, Eclipse treatment planning system

Introduction

Monte Carlo (MC) simulation is one of the most accurate methods for calculating dose distributions, particularly in heterogeneous tissues, where the effects of electron transport cannot be accurately modeled with conventional deterministic dose calculation algorithms [1,2]. Despite the accuracy of the MC simulation, large calculation times have limited its application in clinical routines [3]. Recently, with an increase in the computer processing speed, the performance of the MC algorithm has been improved, and the MC dose calculation became acceptable for clinical treatment planning with electron beams [4-6]. The electron Monte Carlo (eMC) algorithm is based on the macro MC method for the electron beam in the Eclipse treatment planning system (Varian Medical System, Palo Alto, CA, USA) [7-9]. The eMC algorithm increases the calculation speed while preserving the calculation accuracy in heterogeneous internal parts of patients, such as the lung and oral cavity [10,11].

However, some limitations hinder the use of the eMC algorithm. Several studies have demonstrated discrepancies between measurements and calculations, particularly for lower electron energies, smaller applicator sizes, and larger source-to-surface distances (SSDs) [10,12-14]. In the buildup region at 4 MeV, the eMC algorithm produces up to 5.4% lower absorbed dose than that of the full MC model. In the penumbra and out-of-field regions in water, the eMC calculation underestimates the absorbed doses by up to 3.3%, compared to the full MC model [15]. The eMC calculation overestimates the absorbed dose toward the shoulder region with a 25×25 cm2 applicator at increased SSDs [15].

Varian Medical System has announced that the beam configuration with air profiles (APs) can improve the calculation accuracy with AP measurements at the source-to-detector distance (SDD) of 95 cm where the collimator jaws open appropriately for each machine, energy, and applicator [16]. The purpose of this study is to evaluate the performances of the eMC algorithm with the insertion of APs in terms of profile, percentage depth dose (PDD), and penumbra.

Materials and Methods

1. AP measurements and beam configuration

This study was conducted within electron energy ranges used at the author’s hospital. The electron energies of 6, 9, 12, and 16 MeV for VitalBeam (Varian Medical System) and 6, 9, 12, 16, and 20 MeV for the Clinac iX linear accelerator were used in this study. A Blue Phantom2 scanning system (IBA Dosimetry GmbH, Schwarzenbruck, Germany) and two CC13 cylindrical ionization chambers (IBA Dosimetry GmbH) were used to acquire APs. The field chamber was placed at the SDD of 95 cm in air to measure APs. To remove pulsed beam fluctuations, the reference chamber was placed so that the active volume could be fully covered by the corresponding field sizes [17]. The measurement setup for APs is illustrated in Fig. 1a. The in-line and cross-line APs were measured, in which jaw positions were opened according to the applicator without an attached applicator [16]. The jaw sizes for each machine, energy, and applicator size are shown in Table 1. The measured APs were postprocessed by smoothing and rescaling; then, they were converted into the w2CAD format to register the measured beam data to Eclipse. The final APs with the w2CAD format were imported and configured according to the Eclipse reference guide document [16].

Table 1 . Jaw openings according to the applicator sizes and energies for VitalBeam and Clinac iX.

Applicator size (cm2)Jaw openings (cm2)

VitalBeamClinac iX


6 MeV9 MeV12 MeV16 MeV6 MeV9 MeV12 MeV16 MeV20 MeV
6×620×2020×2011×1111×1120×2020×2011×1111×1111×11
10×1022×2220×2015×1515×1520×2020×2014×1414×1414×14
15×1522×2220×2019×1918×1820×2020×2017×1717×1717×17
20×2027×2725×2525×2523×2325×2525×2525×2523×2322×22
25×2532×3230×3030×3028×2830×3030×3030×3028×2827×27


Figure 1. Schematic diagrams of the measurement setup for (a) optional air profiles and (b) verifications.

2. Measurement of the reference dose distribution

To evaluate the accuracy of the eMC algorithm with APs, the dose profiles and PDD curves were measured using the Blue Phantom2 scanning system. The measurement setup for reference dose distributions is shown in Fig. 1b. Blue Phantom2 was positioned with the SSD of 100 cm. Similar to the measurement of APs, to remove pulsed beam fluctuations, the reference chamber was placed where the active volume could be fully covered by the corresponding field sizes [17]. For VitalBeam, the profiles were measured at the depth of 1.18, 1.58, 2.20 and 2.90 cm at 6, 9, 12, and 16 MeV, respectively. For Clinac iX, the measurement depths were 1.00, 1.40, 2.00, 2.70, and 3.30 cm at 6, 9, 12, 16, and 20 MeV, respectively. The depths were shifted upward by 0.15 cm, considering the effective measurement point, with an A25 applicator (25×25 cm2) and normalized to 100% at the center of the profiles. The PDD curves were measured with an A10 applicator (10×10 cm2) and normalized to 100% at the depth of the maximum dose.

3. eMC calculation

The dose distributions were calculated in a 40×40×40 cm3 virtual water phantom using beam models with and without APs. The eMC calculation options used in this study are listed in Table 2. For the number of particle histories option, the zero value means that the eMC calculation uses as many particles as required to reach the statistical uncertainty set in statistical uncertainty option. The random generator seed number is defined as the random number sequence used in the particle generator. If the seed value is set to 0, the EMC algorithm uses a randomly selected seed. The dose threshold for uncertainty was defined as the dose threshold to calculate statistical uncertainty [16]. The dose distributions with A25 applicators were exported in the coronal plane and normalized to 100% at the center of the profile using the RIT software (Radiological Imaging Technology, Inc., Colorado Springs, CO, USA). The absolute differences between calculated and measured dose distributions were averaged in the range of −10 to 10 cm to represent the discrepancies between the models with and without APs. The PDDs with A10 applicators were obtained and normalized to 100% at the depth of the dose maximum. Considering the effective measurement point, the comparison between the calculated and measured PDDs was started from the depth of 0.15 cm. Both calculated and measured penumbras were obtained by averaging the distances of the right and left sides between 20% and 90% of the central axis dose in the dose profiles [18].

Table 2 . Electron Monte Carlo (eMC) calculation parameters used in this study.

Calculation parameterValue
Statistical uncertainty1
Statistical uncertainty limit3
Calculation grid size in cm0.25
Random generator seed number0
Number of particle histories0
Dose threshold for uncertainty50
Smoothing methodThree-dimensional Gaussian
Smoothing levelMedium

Results

The discrepancies in the profiles between the measurements and calculations for VitalBeam are summarized in Table 3, while the sample distributions at 6 and 16 MeV are shown in Fig. 2. The accuracy of calculated profile was improved by 0.35%, 0.15%, 0.14%, and 0.38% on average at 6, 9, 12, and 16 MeV, respectively, when the beams were modeled with APs. For all energies, the calculations with APs improved the accuracy up to 0.5%. Although the calculations with APs still exhibited over- and under-estimation tendencies, the discrepancies were reduced at both low and high energies. The discrepancies in the profiles between the measurements and calculations for Clinac iX are summarized in Table 3, while the sample distributions at 6 and 20 MeV are shown in Fig. 3. The discrepancies were reduced by 0.16%, −0.31%, 0.94%, 0.42%, and 0.74% on average at 6, 9, 12, 16, and 20 MeV, respectively, with the insertion of APs. Except at 9 MeV, the calculations with APs improved the accuracy up to 0.95%. The calculations with APs at 9 MeV had lower accuracy than those without APs of 0.17% and 0.45% for the in-line and cross-line profiles, respectively.

Table 3 . Improvements between measurements and calculations for VitalBeam and Clinac iX.

Energy (MeV)DirectionVitalBeamClinac iX


Measurement depth (cm)Calculation–measurement* (%)Improvement (%)Measurement depth (cm)Calculation–measurement* (%)Improvement (%)


Without APWith APWithout APWith AP
6In-line1.181.080.690.381.000.650.450.20
Cross-line1.070.750.320.480.370.11
9In-line1.580.910.670.241.400.230.40−0.17
Cross-line0.760.710.050.150.60−0.45
12In-line2.200.320.120.202.001.160.210.95
Cross-line0.190.110.081.200.280.92
16In-line2.900.960.460.502.700.690.220.47
Cross-line0.660.400.260.950.590.36
20In-line----3.301.310.450.86
Cross-line---1.070.460.61


Figure 2. Measured and calculated profiles with and without air profiles (APs) for VitalBeam: (a, c) in-line and (b, d) cross-line profiles at 6 and 16 MeV, respectively.

Figure 3. Measured and calculated profiles with and without air profiles (APs) for Clinac iX: (a, c) in-line and (b, d) cross-line profiles at 6 and 20 MeV, respectively.

The penumbras are shown in Table 4. For Clinac iX, the penumbra difference between the measurement and calculation without AP was up to 0.10 cm, while that with AP was up to 0.15 cm. For VitalBeam, the maximum difference between the measurement and calculation was 0.25 cm for both cases. Of note, no significant change in the difference between the measured and calculated penumbras was observed between the cases with and without AP. Table 5 shows the maximum and average difference between the PDD measurement and calculation with or without APs, while the sample distributions at low (6 MeV) and high (16 and 20 MeV) energies are shown in Fig. 4. For VitalBeam, although the measured PDDs exhibited differences up to 6.09%, 2.99%, 1.71%, and 1.45% without APs, those with APs were 5.68%, 3.02%, 1.95%, and 1.13% at 6, 9, 12, and 16 MeV, respectively. For Clinac iX, the measured PDDs exhibited differences up to 5.07%, 2.82%, 1.72%, 1.74%, and 0.82% without APs, while those with APs were 5.24%, 3.03%, 1.50%, 1.29%, and 1.00% at 6, 9, 12, 16, and 20 MeV, respectively. Large discrepancies were usually observed in the buildup region, particularly at low energies. This could not be improved even using eMC models with APs.

Table 4 . Comparison between the measurements and calculations for the penumbras for VitalBeam and Clinac iX.

Energy(MeV)DirectionVitalBeamClinac iX


Measurement depth (cm)Calculation (cm)Measurement (cm)Measurement depth (cm)Calculation (cm)Measurement (cm)


Without APWith APWithout APWith AP
6In-line1.181.301.381.331.001.201.301.30
Cross-line1.301.351.30 1.201.301.28
9In-line1.581.101.100.981.401.151.181.15
Cross-line1.051.100.95 1.101.151.05
12In-line2.201.151.150.952.001.131.181.05
Cross-line1.151.150.95 1.151.101.08
16In-line2.901.251.281.032.701.181.231.13
Cross-line1.251.251.00 1.201.201.15
20In-line----3.301.331.431.28
Cross-line---1.301.401.30


Table 5 . Comparison of the mean and maximum differences in PDDs between the measurements and calculations for VitalBeam and Clinac iX.

Energy(MeV)VitalBeamClinac iX


With APWithout APWith APWithout AP




Mean (%)Maximum (%)Mean (%)Maximum (%)Mean (%)Maximum (%)Mean (%)Maximum (%)
61.455.681.526.090.645.240.625.07
91.283.021.352.990.503.030.472.82
120.941.950.841.710.291.500.361.72
160.481.130.421.450.331.290.551.74
20----0.161.000.220.82


Figure 4. Comparison of the measured and calculated percentage depth dose (PDD) curves with and without air profiles (Aps) and corresponding dose differences at (a) 6 and (c) 16 MeV for VitalBeam and at (b) 6 and (d) 20 MeV for Clinac iX. Calculation with AP–measurement, difference between the calculation with AP and measurement value; Calculation without AP–measurement, difference between the calculation without AP and measurement value.

Discussion

In this study, the accuracy of the eMC calculation was evaluated when the electron beams were modeled with optional APs in the treatment planning system. The accuracies of profiles were improved by modeling the electron beam with optional APs. The differences could be minimized when the electron beams were modeled by adding optional APs. Specifically, this reduction was considerable in the shoulder regions where the profiles were near the dose fall-off. According to the manufacturer’s document, optional APs could construct two-dimensional fluences in beam modeling. If optional AP was not measured, the radially symmetric fluences from the open field APs (40×40 cm2) are used for dose calculation. Because the actual fluences for each applicator size differ from those of open fields, the jaw size-specific measurements can improve the accuracies. The dose calculation accuracy for a given applicator can be improved by constructing a two-dimensional fluence that is appropriate for each applicator. Otherwise, the symmetric fluence in air with a 40×40 cm2 open field can be applied for all applicators during the dose calculation [14,16]. To consider these properties, Varian Medical System recommends to include optional APs for the electron beam configuration [16].

Although no significant improvements in PDDs and penumbras were observed when eMCs were modeled with optional APs, the accuracies of profiles were improved overall. The PDD differences between measurement and eMC calculation have been reported in many studies [4,19,20], although electron beams have been modeled without optional APs. For 4 MeV, the eMC algorithm produced up to 5.4% lower doses than those of the full MC model in the buildup region and over-estimated the dose by up to 5.2% beyond the depth of the dose maximum, particularly at the end of the electron range [15]. This result could not be improved even with APs. The eMC algorithm largely underestimated the doses near the surface and overestimated them near the end point of the fall-off region compared to the measurement. Because this behavior was emphasized at low energies, the treatment plan should be carefully designed at low electron energy and prescription depth in the superficial region. It is necessary to improve the eMC algorithm to improve the calculation accuracy at low energy.

Conclusions

The accuracy of eMC calculation can be improved in dose profiles when the electron beams are modeled with optional APs.

Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF), grant funded by the Korea government (MSIT) (2019R1F1A1041944), and the Radiation Technology R&D program through the National Research Foundation of Korea funded by the Ministry of Science and ICT (2019M2A2B4095126).

Conflicts of Interest


The authors have nothing to disclose.

Availability of Data and Materials


All relevant data are within the paper and its Supporting Information files.

Author Contributions


Conceptualization: Minsoo Chun, Jung-in Kim. Data curation and formal analysis: Jeongho Kim, Jiwon Sung. Funding acquisition: Minsoo Chun, Chang Heon Choi. Investigation: Jiwon Sung, Minsoo Chun. Methodology: Jiwon Sung, Hyeongmin Jin, Minsoo Chun. Supervision: Minsoo Chun, Jong Min Park, Jung-in Kim. Validation: Jiwon Sung, Jeongho Kim. Writing–original draft: Jiwon Sung. Writing–review & editing: Minsoo Chun.

Fig 1.

Figure 1.Schematic diagrams of the measurement setup for (a) optional air profiles and (b) verifications.
Progress in Medical Physics 2020; 31: 163-171https://doi.org/10.14316/pmp.2020.31.4.163

Fig 2.

Figure 2.Measured and calculated profiles with and without air profiles (APs) for VitalBeam: (a, c) in-line and (b, d) cross-line profiles at 6 and 16 MeV, respectively.
Progress in Medical Physics 2020; 31: 163-171https://doi.org/10.14316/pmp.2020.31.4.163

Fig 3.

Figure 3.Measured and calculated profiles with and without air profiles (APs) for Clinac iX: (a, c) in-line and (b, d) cross-line profiles at 6 and 20 MeV, respectively.
Progress in Medical Physics 2020; 31: 163-171https://doi.org/10.14316/pmp.2020.31.4.163

Fig 4.

Figure 4.Comparison of the measured and calculated percentage depth dose (PDD) curves with and without air profiles (Aps) and corresponding dose differences at (a) 6 and (c) 16 MeV for VitalBeam and at (b) 6 and (d) 20 MeV for Clinac iX. Calculation with AP–measurement, difference between the calculation with AP and measurement value; Calculation without AP–measurement, difference between the calculation without AP and measurement value.
Progress in Medical Physics 2020; 31: 163-171https://doi.org/10.14316/pmp.2020.31.4.163

Table 1 Jaw openings according to the applicator sizes and energies for VitalBeam and Clinac iX

Applicator size (cm2)Jaw openings (cm2)

VitalBeamClinac iX


6 MeV9 MeV12 MeV16 MeV6 MeV9 MeV12 MeV16 MeV20 MeV
6×620×2020×2011×1111×1120×2020×2011×1111×1111×11
10×1022×2220×2015×1515×1520×2020×2014×1414×1414×14
15×1522×2220×2019×1918×1820×2020×2017×1717×1717×17
20×2027×2725×2525×2523×2325×2525×2525×2523×2322×22
25×2532×3230×3030×3028×2830×3030×3030×3028×2827×27

Table 2 Electron Monte Carlo (eMC) calculation parameters used in this study

Calculation parameterValue
Statistical uncertainty1
Statistical uncertainty limit3
Calculation grid size in cm0.25
Random generator seed number0
Number of particle histories0
Dose threshold for uncertainty50
Smoothing methodThree-dimensional Gaussian
Smoothing levelMedium

Table 3 Improvements between measurements and calculations for VitalBeam and Clinac iX

Energy (MeV)DirectionVitalBeamClinac iX


Measurement depth (cm)Calculation–measurement* (%)Improvement (%)Measurement depth (cm)Calculation–measurement* (%)Improvement (%)


Without APWith APWithout APWith AP
6In-line1.181.080.690.381.000.650.450.20
Cross-line1.070.750.320.480.370.11
9In-line1.580.910.670.241.400.230.40−0.17
Cross-line0.760.710.050.150.60−0.45
12In-line2.200.320.120.202.001.160.210.95
Cross-line0.190.110.081.200.280.92
16In-line2.900.960.460.502.700.690.220.47
Cross-line0.660.400.260.950.590.36
20In-line----3.301.310.450.86
Cross-line---1.070.460.61

Table 4 Comparison between the measurements and calculations for the penumbras for VitalBeam and Clinac iX

Energy(MeV)DirectionVitalBeamClinac iX


Measurement depth (cm)Calculation (cm)Measurement (cm)Measurement depth (cm)Calculation (cm)Measurement (cm)


Without APWith APWithout APWith AP
6In-line1.181.301.381.331.001.201.301.30
Cross-line1.301.351.30 1.201.301.28
9In-line1.581.101.100.981.401.151.181.15
Cross-line1.051.100.95 1.101.151.05
12In-line2.201.151.150.952.001.131.181.05
Cross-line1.151.150.95 1.151.101.08
16In-line2.901.251.281.032.701.181.231.13
Cross-line1.251.251.00 1.201.201.15
20In-line----3.301.331.431.28
Cross-line---1.301.401.30

Table 5 Comparison of the mean and maximum differences in PDDs between the measurements and calculations for VitalBeam and Clinac iX

Energy(MeV)VitalBeamClinac iX


With APWithout APWith APWithout AP




Mean (%)Maximum (%)Mean (%)Maximum (%)Mean (%)Maximum (%)Mean (%)Maximum (%)
61.455.681.526.090.645.240.625.07
91.283.021.352.990.503.030.472.82
120.941.950.841.710.291.500.361.72
160.481.130.421.450.331.290.551.74
20----0.161.000.220.82

References

  1. Ma CMC, Chetty IJ, Deng J, Faddegon B, Jiang SB, Li J, et al. Beam modeling and beam model commissioning for Monte Carlo dose calculation-based radiation therapy treatment planning: Report of AAPM Task Group 157. Med Phys. 2020;47:e1-e18.
    Pubmed CrossRef
  2. Wanklyn MD, Kidane G, Crees L. Verification measurements of an eMC algorithm using a 2D ion chamber array. J Appl Clin Med Phys. 2016;17:320-328.
    Pubmed KoreaMed CrossRef
  3. Chetty IJ, Curran B, Cygler JE, DeMarco JJ, Ezzell G, Faddegon 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;34:4818-4853.
    Pubmed CrossRef
  4. Pemler P, Besserer J, Schneider U, Neuenschwander H. Evaluation of a commercial electron treatment planning system based on Monte Carlo techniques (eMC). Z Med Phys. 2006;16:313-329.
    Pubmed CrossRef
  5. Fix MK, Frei D, Volken W, Neuenschwander H, Born EJ, Manser P. Monte Carlo dose calculation improvements for low energy electron beams using eMC. Phys Med Biol. 2010;55:4577-4588.
    Pubmed CrossRef
  6. Cygler JE, Daskalov GM, Chan GH, Ding GX. Evaluation of the first commercial Monte Carlo dose calculation engine for electron beam treatment planning. Med Phys. 2004;31:142-153.
    Pubmed CrossRef
  7. Xu Z, Walsh SE, Telivala TP, Meek AG, Yang G. Evaluation of the eclipse electron Monte Carlo dose calculation for small fields. J Appl Clin Med Phys. 2009;10:75-85.
    Pubmed KoreaMed CrossRef
  8. Ding GX, Duggan DM, Coffey CW, Shokrani P, Cygler JE. First macro Monte Carlo based commercial dose calculation module for electron beam treatment planning--new issues for clinical consideration. Phys Med Biol. 2006;51:2781-2799.
    Pubmed CrossRef
  9. Neuenschwander H, Born EJ. A macro Monte Carlo method for electron beam dose calculations. Phys Med Biol. 1992;37:107-125.
    CrossRef
  10. Zhang A, Wen N, Nurushev T, Burmeister J, Chetty IJ. Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm. J Appl Clin Med Phys. 2013;14:127-145.
    Pubmed KoreaMed CrossRef
  11. Chamberland E, Beaulieu L, Lachance B. Evaluation of an electron Monte Carlo dose calculation algorithm for treatment planning. J Appl Clin Med Phys. 2015;16:60-79.
    Pubmed KoreaMed CrossRef
  12. Łukomska S, Kukołowicz P, Zawadzka A, Gruda M, Giżyńska M, Jankowska A, et al. Evaluation of the usefulness of the electron Monte Carlo algorithm for planning radiotherapy with the use of electron beams. Pol J Med Phys Eng. 2016;22:49-54.
    CrossRef
  13. Jong WL, Ung NM, Tiong AHL, Rosenfeld AB, Wong JHD. Characterisation of a MOSFET-based detector for dose measurement under megavoltage electron beam radiotherapy. Radiat Phys Chem. 2018;144:76-84.
    CrossRef
  14. Fix MK, Cygler J, Frei D, Volken W, Neuenschwander H, Born EJ, et al. Generalized eMC implementation for Monte Carlo dose calculation of electron beams from different machine types. Phys Med Biol. 2013;58:2841-2859.
    Pubmed CrossRef
  15. Ojala J, Kapanen M, Hyödynmaa S. Full Monte Carlo and measurement-based overall performance assessment of improved clinical implementation of eMC algorithm with emphasis on lower energy range. Phys Med. 2016;32:801-811.
    Pubmed CrossRef
  16. Varian Medical Systems. Eclipse photon and electron algorithms reference guide. Palo Alto: Varian Medical Systems; 2015.
  17. Shimozato T, Kojima T, Sakamoto M, Hata Y, Sasaki K, Araki N. Evaluating the output stability of LINAC with a reference detector using 3D water phantom. Igaku Butsuri. 2012;32:176-181.
    Pubmed
  18. Khan FM, Gibbons JP. Khan’s the physics of radiation therapy. Philadelphia: Lippincott Williams & Wilkins; 2014.
  19. Brualla L, Palanco-Zamora R, Wittig A, Sempau J, Sauerwein W. Comparison between PENELOPE and electron Monte Carlo simulations of electron fields used in the treatment of conjunctival lymphoma. Phys Med Biol. 2009;54:5469-5481.
    Pubmed CrossRef
  20. Edimo P, Kwato Njock MG, Vynckier S. Validation of XiO Electron Monte Carlo-based calculations by measurements in a homogeneous phantom and by EGSnrc calculations in a heterogeneous phantom. Phys Med. 2013;29:631-638.
    Pubmed CrossRef
Korean Society of Medical Physics

Vol.35 No.3
September 2024

pISSN 2508-4445
eISSN 2508-4453
Formerly ISSN 1226-5829

Frequency: Quarterly

Current Issue   |   Archives

Stats or Metrics

Share this article on :

  • line