Journal of Medical Physics
 Home | Search | Ahead of print | Current Issue | Archives | Instructions | Subscription | Login  The official journal of AMPI, IOMP and AFOMP      
 Users online: 1164  Home  EMail this page Print this page Decrease font size Default font size Increase font size 


 
 Table of Contents    
TECHNICAL NOTE
Year : 2022  |  Volume : 47  |  Issue : 1  |  Page : 99-104
 

Monte Carlo dose calculation – A QA method for srt and sbrt plans in treating multiple and small metastatic lesions


Department of Radiation Oncology, Fox Chase Cancer Center, Temple University, Philadelphia, Pennsylvania, USA

Date of Submission24-Sep-2021
Date of Decision19-Nov-2021
Date of Acceptance26-Nov-2021
Date of Web Publication31-Mar-2022

Correspondence Address:
Teh Lin
PhD, 333 Cottman Ave, Philadelphia, PA 19111
USA
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jmp.jmp_123_21

Rights and Permissions

 

   Abstract 

To provide accurate and fast 3-D dose verification for hypofractionated stereotactic radiotherapy (SRT/SBRT) of small and multi targets calculated with a Varian Eclipse treatment planning system (TPS) delivered on a Varian accelerator. Ten brain and lung hypofractionated SRT/SBRT linac-based and CyberKnife plans were generated by the Eclipse system for delivery on the accelerator with the Millenium-120 leaf multileaf collimator (MLC) and Multiplan for the CyberKnife machine. These clinical SRT/SBRT plans required accurate quality assurance measurements to obtain absolute point dose and 3-D dose distributions due to the low number of fractions and high fraction doses. For small-field and multi-target plans, the EGS4/MCSIM code was used to calculate the dose distribution. A 0.125 cc ion chamber, a 0.016 cc pin-point chamber and Kodak EDR2 film were used for the measurements and the results were compared with Monte Carlo (MC) calculations. The dosimetry for small-field and multi-target treatment plans is challenging due to the comparable range of secondary electrons and the field sizes defined by SRT/SBRT MLC segments. Our MC simulations can accurately reproduce the linac dose distributions (within 1%/1 mm) three dimensionally. For the clinical SRT/SBRT plans investigated in this work, the MC doses agreed within 3% with ion chamber measurements and within 2%/2 mm with film measurements. The doses calculated by the Eclipse AAA algorithm and Multiplan differed by no more than 5% from MC calculations for small (4–40 cc) Planning Target Volumes (PTVs). MC dose calculation provides accurate and fast 3-D dose verification for hypofractionated SRT for small and multi-target treatment plans generated by a Varian Eclipse TPS on a Varian accelerator and Multiplan treatment planning on the CyberKnife System.


Keywords: Monte Carlo, quality assurance, radiation treatment, SRT/SBRT


How to cite this article:
Lin T, Wang L, Charlie Ma CM. Monte Carlo dose calculation – A QA method for srt and sbrt plans in treating multiple and small metastatic lesions. J Med Phys 2022;47:99-104

How to cite this URL:
Lin T, Wang L, Charlie Ma CM. Monte Carlo dose calculation – A QA method for srt and sbrt plans in treating multiple and small metastatic lesions. J Med Phys [serial online] 2022 [cited 2022 Dec 5];47:99-104. Available from: https://www.jmp.org.in/text.asp?2022/47/1/99/341430



   Introduction Top


Quality assurance for stereotactic radiotherapy has been of interest to clinical researchers.[1],[2],[3],[4] Due to the low number of fractions and large fractional doses, stereotactic (body) radiotherapy (SRT/SBRT) are high precision technique for delivering a highly conformal dose to a stereotactically localized target. It is crucial to provide accurate and fast 3D dose verification for hypofractionated SRT for small and multi-target treatment plans. However, the dosimetry of small-field treatment is challenging due to the comparable range of secondary electrons and the field sizes defined by the SRT multileaf collimator (MLC) segments. MLC leaf scattering, transmission, and also, the lowered photon fluence induced by the small field sizes[5],[6] make direct dose measurements at the target(s) difficult. Quality assurance with film measurements due to better resolution could be one of the methods adopted in clinics to verify the delivered dose for SRT/SBRT plans.[7] SRT/SBRT plans with small or multi-target dose distribution, on the other hand, also have practical verification issues due to the closeness and relative location between individual targets three-dimensionally that may not be easily measured by single film. Film measurements also require absolute dosimetry calibration. It could be tricky if more films are utilized. Using specific film H-D curves with a varying dose range is necessary for treatment plan dose verification. However, it made QA for small or multi-target SRT/SBRT plans time-consuming and possibly less precise. Therefore, an accurate and fast 3D dose quality assurance procedure is desirable for SRT/SBRT with small and multiple targets.

Numerous publications have reported the Monte Carlo (MC) method to be a useful tool for radiation therapy dose calculation.[8],[9],[10] Considering all of the beam data, including the energy and the phase space distribution,[11],[12],[13],[14],[15] the MC method can accurately calculate the dose distributions in heterogeneous patient anatomy.[16],[17],[18],[19],[20],[21],[22] From the various publications, it is suggested that the MC method has the potential to be a dominant quality assurance tool in radiotherapy for treatment planning dose verification. The MC method has recently been adopted as an independent dose calculation check.[23],[24] In our institution, we have already commissioned the Varian Eclipse SRT/SBRT treatment planning system (TPS) for the Varian accelerators with a Millennium MLC. Plan delivery measurements and Varian Eclipse calculations are both verified with our in-house EGS4/MCSIM MC code simulation.[25] CyberKnife beam models are also verified by the same method.[26] For patient-specific hypofractionated SRT/SBRT quality assurance, MC dose calculation has been chosen to compare to ion chamber and film measurements to minimize the dosimetry uncertainties mentioned above. The MC method can be an accurate and fast 3D dose quality assurance tool following proper commissioning and validation.

This study investigated the possibility of performing accurate and fast 3D QAs on small and multi-target SRT/SBRT treatment plans by analyzing the dose from the MC method with measurements on 10 SRT/SBRT plans.


   Materials and Methods Top


Treatment plans

A total of 10 brain, spine, and lung hypofractionated SRT/SBRT plans were generated by a Varian Eclipse TPS on the Varian linear accelerators with the Millenium-120 leaf MLC and Accuray (Accuray Inc., Sunnyvale, California) Multiplan treatment planning on CyberKnife system. Varian Eclipse TPS uses AAA (Analytical Anisotropic Algorithm) and Multiplan uses both pencil beam convolution and the MC methods as the calculation algorithms. More than 1 target area exists for brain cases. All 10 plans have a small target size (smaller than 3.5 cm in diameter). These clinical SRS/SBRT plans [details listed in [Table 1]] required thorough quality assurance measurements to obtain absolute point dose and 2-D dose distributions due to the low number of fractions and high fraction doses.
Table 1: Details of each patient plan

Click here to view


Monte Carlo simulation

We used an MC code, MCSIM,[25] developed at Fox Chase Cancer Center to simulate plan delivery on different machines. MCSIM has been used as a dose calculation tool for radiotherapy and treatment verification studies. MCSIM is an EGS4[27] user code, which can be used to perform patient dose calculations for both conventional photon/electron treatment and intensity-modulated radiotherapy (IMRT). MCSIM uses a multiple-source model to reconstruct the beam phase space. The source model parameters are derived directly from a set of measured beam data. Beam modifiers such as jaws, physical and dynamic wedges, blocks, electron cutouts and bolus can be simulated in MCSIM together with 3D patient geometry built from computed tomography data. MCSIM can simulate different machine geometries and MLC segmented fields based on the information provided by the RTP file exported from Eclipse. For the Cyberknife system MC simulation, MCSIM dose calculation was commissioned with single-source model due to Cyberknife does not have a flattening filter.[26] Cyberknife plan XML files exported from the Multiplan system are used in MCSIM phantom calculations.

Ion chamber and film measurements

This study used a 0.125 cc ion chamber and a 0.016 cc pin-point chamber for point measurements. The 2D ionization chamber array I'mRT MatriXX (IBA Dosimetry, Bartlett, TN, USA) was also used for 2D dose delivery verification. Kodak EDR2 film (Eastern Kodak Company, Rochester, NY, USA) was used to verify the dose distribution. The chamber measurements were to be made with all fields irradiating the phantom using the planned gantry and collimator angles. For all of the tests, measurements were to be made in the target. Conversion of chamber reading to dose was to be done by irradiating the phantom with a 10 cm by 10 cm field to establish the ratio of reading to planned dose in that geometry followed the recommendation from IAEA technical reports series No. 483.[28],[29] This could reduce the effects of daily linac output variations and differences between the phantom and liquid water. For film measurements, in each test, films were placed at the level of target positions which could be a coronal or axial plane but definitely exposed to all fields irradiating the phantom with the planned gantry and collimator angles. Noted there is about 1% uncertainty with absolute film dosimetry and about 0.5% uncertainties with relative dosimetry. Dose distributions were analyzed using gamma criteria 3%/3 mm distance to agreement criteria referenced from TG119,[30] TG218.[31] The planar dose distributions obtained with the film could be normalized to the dose measured with the chamber at a high dose and low gradient region. Radiological Imaging Technology, Inc. software was used for film analyses. The gamma analysis was set to have a threshold at 50% maximum dose. For small field and multi-target plans, MC dose calculations were performed and the results compared with ion chamber and film measurements.


   Results Top


Our MC code was commissioned to accurately reproduce the Varian linacs and CyberKnife dose distributions (within 1%/1 mm at various depths, square field sizes, and different material densities). [Figure 1] demonstrates the agreement between the Eclipse and MC dose distributions on a target measuring about 10 cm in diameter. For SRT and SBRT conditions, our group has several publications on the MC simulation results matching the machine commissioning data.[32],[33],[34] In this study, comparisons on clinically used patient plans are reported as a routine QA method. The average time consumed for MC calculations is 24 min with under 1% calculation uncertainty. The maximum dose differences in the SRT/SBRT plans [Table 2] between the Eclipse AAA, Multiplan pencil beam algorithm and MC are within 5% (average 2.7%) for small targets (4–40 cc). Patient-specific measurement results are listed in [Table 2]. An average of 1.66% (up to 3.66%) of difference between ion chamber measurements and MC calculations is recorded. 2D measurements with films also agree with TPS calculations to within 3 mm, shown in [Figure 2] and [Figure 3]. These results are within the TG119 and TG218 3%/3 mm IMRT QA criteria above 95% with 50% threshold. [Figure 2] shows film measurement results with TPS comparison on 2 brain cases (a, b, d) and 1 spine case (c). Gamma passing rates above the 50% dose line for (a) is 96.54% and 95.02% for (b); for (c) is 96.80%; (d) is a brain case with two lesions 1.2 cm apart. Gamma passing rates above the 50% dose line is 97.85%. [Figure 3] shows dose calculations with TPS comparison using MC calculations. Gamma passing rates above the 50% dose line from (a) to (d) are 96.78%, 98.02%, 95.85%, and 95.37%, respectively.
Figure 1: (a-c) show 1D comparisons of Monte Carlo and Eclipse AAA algorithm at the directions of anterior-posterior, superior-inferior and left-right respectively. (d) shows a 2D comparison of Monte Carlo (thin lines) and Eclipse AAA algorithm (thick lines)

Click here to view
Table 2: Patient-specific ion chamber measurement results

Click here to view
Figure 2: This figure shows the overlay of Eclipse/Multiplan export (in Black) and EDR2 film measurements (in colors). (a and b) are from case #5 [Table 1] brain case; (c) is case #1 [Table 1]; (d) is a brain case #7 [Table 1]. The figure scale is in 1/10 of mm

Click here to view
Figure 3: This figure shows the overlay of TPS (in white) and Monte Carlo calculations (in colors). (a) is from case #9 [Table 1] lung case; (b) is case #10 [Table 1] lung case; (c and d) is a brain case #6 [Table 1]

Click here to view



   Discussion Top


A major advantage of MC dose computation algorithms is the ability to accurately compute dose in complex geometry. While MC dose calculations do not require the approximation of radiation equilibrium conditions, the calculations can truthfully reflect the delivered dose for small treatment field sizes or for treatment plans with multiple treatment targets in one treatment session, such as those found in brain cancer patients. These advantages make the MC dose calculation method the premier independent checking technique for the current commercial TPSs which usually utilizes non-MC algorithms to estimate doses. Currently, medical physicists will deliver patient plans on ion chamber-based 2-D dose measurements as an independent patient-specific IMRT QA method. However, for the SRT/SBRT treatment scheme, ion chamber-based QA devices provide lower spatial resolution which is crucial for small targets or multi-target treatments with small separations. [Figure 4] illustrates the difficulties when comparing the dose distribution with ~2.5 cm target area with few measurement points. One can observe that it is difficult to incorporate the doses between the chambers when the chamber size is large. In the meantime, the uncertainty comes from the ion chamber correction with electron disequilibrium for small field measurements will affect dramatically for the QA results. This created a disadvantage allowing medical physicists only be able to perform QA on SRT/SBRT IMRT plans using film measurement. However, film dosimetry is very complex and time-consuming. With a large number of SRT/SBRT patients, it is also challenging to perform QA on each patient using films for absolute dose comparison. Moreover, when treatment plans involve multiple targets, it is difficult to choose the location of the film placement. Very often, multiple films are needed for only 1 QA validation. The differences of density between films, solid water, and simulated human tissue became significant on dose calculations which contained scatterings from the film material with various incident gantry angles of radiation beams. Film measurements also involve film processing and film sensitivity issues. Take [Figure 2] as an example, the isodose line below 50% of the prescription dose can be very noisy and this problem can evolve from an inadequate film processing and handling procedure or the sensitivity of the film active level. Dose comparisons and isodose line overlay challenges are also major drawbacks of film dosimetry which is described in AAPM TG-218.[28] These two major difficulties, chamber sizes and film dosimetry complexity, make practical SRT/SBRT QA measurements lack accuracy and efficiency. As for the MC calculation time, it depends on the target numbers, treatment beam selection, and desired calculation uncertainties. The longest calculation time for this study is 59 min with 0.7% uncertainty; the shortest time is 9 min with 1% uncertainty. The average calculation time of the 10 cases is 24 min which is much shorter than the ion chamber and film measurements. MC dose calculations, being able to truly simulate how each photon enters into patient geometry, make a proper tool to be an SRT/SBRT QA method and succeed both in accuracy and efficiency.
Figure 4: Ion chamber-based 2D measurements on case #2

Click here to view


[Table 2] shows the comparison results of this 10-patients study. Pinpoint chambers are used for measurements with target volume of 3 cm diameter or less. Pinpoint chambers have up to 5% measurement uncertainties with these conditions.[32] Based on our results shown in [Table 2], both comparisons between measurement to MC calculations (average 1.66%) and TPS to MC calculations (average 2.7%) are all within 5% uncertainties. We could say that our MC calculations, TPS calculations and measurements are very close to each other and are practically used clinically. It is also confirmed on gamma analyses shown in [Figure 2] and [Figure 3].

This study also provides confidence to the community of implementing adaptive radiation therapy. For example, the ViewRay system (ViewRay, Inc, Cleveland, OH, USA) uses a MC dose computation engine that can be accessed at the treatment console to perform an on-the-fly QA for the adaptive IMRT plans. With their MC algorithm, owing to efficient variance reduction techniques, a 3D dose calculation can be completed in under a minute. Our study can provide a strong validation of the accuracy and efficiency of MC calculations on the re-plans with adaptive target volumes.


   Conclusions Top


MC dose calculation provides accurate, thorough, and fast dose verification for hypofractionated SRT for small and multi-target treatment plans generated by a Varian Eclipse TPS on a Varian Trilogy accelerator.

Acknowledgment

The authors would like to thank the physics, dosimetry, and the therapy groups of the Department of Radiation Oncology at Fox Chase Cancer Center for their help and support.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

 
   References Top

1.
Timmerman R, Paulus R, Galvin J, Michalski J, Straube W, Bradley J, et al. Stereotactic body radiation therapy for inoperable early stage lung cancer. JAMA 2010;303:1070-6.  Back to cited text no. 1
    
2.
Wu A, Zwicker RD, Kalend AM, Zheng Z, Comments on dose measurements for a narrow beam in radiosurgery. Med Phys 1993;20:777.  Back to cited text no. 2
    
3.
Aspradakis MM, Morrison RH, Richmond ND, Steele A. Experimental verification of convolution/superposition photon dose calculations for radiotherapy treatment planning. Phys Med Biol 2003;48:2873-93.  Back to cited text no. 3
    
4.
Ramaseshan R, Heydarian M. Comprehensive quality assurance for stereotactic radiosurgery treatments. Phys Med Biol 2003;48:N199-205.  Back to cited text no. 4
    
5.
Duggan DM, Coffey CW 2nd. Small photon field dosimetry for stereotactic radiosurgery. Med Dosim 1998;23:153-9.  Back to cited text no. 5
    
6.
Zhu TC, Bjärngard BE. The head-scatter factor for small field sizes. Med Phys 1994;21:65-8.  Back to cited text no. 6
    
7.
Ramani R, Lightstone AW, Mason DL, O'Brien PF. The use of radiochromic film in treatment verification of dynamic stereotactic radiosurgery. Med Phys 1994;21:389-92.  Back to cited text no. 7
    
8.
Mackie TR. Applications of the Monte Carlo method in radiotherapy. In: Kase K, Bjarngard B, Attix FH, editors. Dosimetry of Ionizing Radiation. Vol. 3. New York: Academic; 1990. p. 541-620.  Back to cited text no. 8
    
9.
Ma CM, Mok E, Kapur A, Pawlicki T, Findley D, Brain S, et al. Clinical implementation of a Monte Carlo treatment planning system. Med Phys 1999;26:2133-43.  Back to cited text no. 9
    
10.
Mohan R. Why Monte Carlo? Proc. 12th ICCR. Salt Lake City, Utah: Madison, WI: Medical Physics Publishing; 1997. p. 16-8.  Back to cited text no. 10
    
11.
Mohan R, Chui CS, Lidofsky L. Energy and angular distributions from medical linear accelerators. Med Phys 1985;12:592.  Back to cited text no. 11
    
12.
Udale-Smith M. A Monte Carlo Investigation of High Energy Electron Beams Used In Radiotherapy. UK: PhD Thesis University of Leeds; 1990.  Back to cited text no. 12
    
13.
Rogers DW, Faddegon BA, Ding GX, Ma CM, Wei JS, Mackie TR. BEAM: A Monte Carlo code to simulate radiotherapy treatment units. Med Phys 1995;22:503-25.  Back to cited text no. 13
    
14.
Rogers DW, Ma M, Ding GX, Walters B. BEAM Users Manual National Research Council Report PIRS-0509(A). Ottawa, Canada: NRCC; 1995.  Back to cited text no. 14
    
15.
Lovelock DM, Chui CS, Mohan R. A Monte Carlo model of photon beams used in radiation therapy. Med Phys 1995;22:1387-94.  Back to cited text no. 15
    
16.
Shortt KR, Ross CK, Bielajew AF, Rogers DW. Electron beam dose distributions near standard inhomogeneities. Phys Med Biol 1986;31:235-49.  Back to cited text no. 16
    
17.
Cygler J, Battista JJ, Scrimger JW, Mah E, Antolak J. Electron dose distributions in experimental phantoms: A comparison with 2D pencil beam calculations. Phys Med Biol 1987;32:1073-83.  Back to cited text no. 17
    
18.
Bielajew AF, Rogers DWO, Cygle, J, Battista JJ. A comparison of electron pencil beam and Monte Carlo calculational methods, Kleffens, HJ van (Ed.) Netherlands: North-Holland; 1987. p. 65-8.  Back to cited text no. 18
    
19.
Nahum AE. Overview of photon and electron Monte Carlo. In: Jenkins TM, Nelson WR, Rindi A, editors. Monte Carlo Transport of Photons and Electrons. New York: Plenum; 1988. p. 523-47.  Back to cited text no. 19
    
20.
Rogers DW, Bielajew AF. Monte Carlo techniques of electrons and photons for radiation dosimetry. In: Kase K, Bjarngard BE, Attix FH, editors. Dosimetry of Ionizing Radiation. Vol. 3. New York: Academic; 1990. p. 427-539.  Back to cited text no. 20
    
21.
Andreo P. Monte Carlo technique in medical physics. Phys Med Biol 1991;36:861-920.  Back to cited text no. 21
    
22.
Ma CM, Jiang SB, Pawlicki T, Chen Y, Li JS, Deng J, et al. A quality assurance phantom for IMRT dose verification. Phys Med Biol 2003;48:561-72.  Back to cited text no. 22
    
23.
Crop F, Reynaert N, Pittomvils G, Paelinck L, De Gersem W, De Wagter C, et al. Monte Carlo modeling of the ModuLeaf miniature MLC for small field dosimetry and quality assurance of the clinical treatment planning system. Phys Med Biol 2007;52:3275-90.  Back to cited text no. 23
    
24.
Ding GX, Duggan DM, Coffey CW. Commissioning stereotactic radiosurgery beams using both experimental and theoretical methods. Phys Med Biol 2006;51:2549.  Back to cited text no. 24
    
25.
Ma CM, Li J, Pawlicki T, Jiang S, Deng J, Chen L, et al. MCSIM: A Monte Carlo dose verification tool for radiation therapy treatment planning and beam delivery. Med Phys 2002;29:1316.  Back to cited text no. 25
    
26.
Ma CM, Li JS, Deng J, Fan J. Implementation of Monte Carlo Dose Calculation for CyberKnife treatment planning. J Phys Conf Ser 2008;102:012016.  Back to cited text no. 26
    
27.
Nelson R, Hirayama H, Rogers DW. The EGS4 code system. In: Stanford Linear Accelerator Center Report SLAC-265. Stanford, CA: SLAC; 1985.  Back to cited text no. 27
    
28.
IAEA. Technical Reports Series No. 483. Dosimetry of Small Static Fields Used in External Beam Radiotherapy. Vienna, Austria: IAEA; 2017.  Back to cited text no. 28
    
29.
Palmans H, Andreo P, Huq MS, Seuntjens J, Christaki KE, Meghzifene A. Dosimetry of small static fields used in external photon beam radiotherapy: Summary of TRS-483, the IAEA–AAPM international Code of Practice for reference and relative dose determination. Med Phys 2018;45:e1123-45.  Back to cited text no. 29
    
30.
Ezzell GA, Burmeister JW, Nesrin D, LoSasso TJ, Mechalakos JG, Mihailidis D, et al. IMRT commissioning: Multiple institution planning and dosimetry comparisons, a report from AAPM task group 119. Med Phys 2009;36:5359-73.  Back to cited text no. 30
    
31.
Miften M, Olch A, Mihailidis D, Moran J, Pawlicki T, Molineu A, et al. Tolerance limits and methodologies for IMRT measurement-based verification QA: Recommendations of AAPM Task Group No. 218. Med Phys 2018;45:e53-83.  Back to cited text no. 31
    
32.
Fan J, Paskalev K, Wang L, Jin L, Li J, Eldeeb A, et al. Determination of output factors for stereotactic radiosurgery beams. Med Phys 2009;36:5292-300.  Back to cited text no. 32
    
33.
Fan J, Li JS, Deng J, Ma CM. A single source model for CyberKnife phase space reconstruction. In: Bissooette JP, editor. Proc. of the 15th International Conference on the Use of Computer in Radiation Therapy (ICCR). Oakville: Novel Digital Publishing; 2007. p. 455-9.  Back to cited text no. 33
    
34.
Das IJ, Ding GX, Ahnesjö A. Small fields: Nonequilibrium radiation dosimetry. Med Phys 2008;35:206-15.  Back to cited text no. 34
    


    Figures

  [Figure 1], [Figure 2], [Figure 3], [Figure 4]
 
 
    Tables

  [Table 1], [Table 2]



 

Top
Print this article  Email this article
  

    

 
   Search
 
  
    Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
    Article in PDF (1,699 KB)
    Citation Manager
    Access Statistics
    Reader Comments
    Email Alert *
    Add to My List *
* Registration required (free)  


    Abstract
   Introduction
    Materials and Me...
   Results
   Discussion
   Conclusions
    References
    Article Figures
    Article Tables

 Article Access Statistics
    Viewed424    
    Printed24    
    Emailed0    
    PDF Downloaded72    
    Comments [Add]    

Recommend this journal