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Independent dose calculation for dynamic arc treatments delivered with micromultileaf collimator

Abstracts

OBJECTIVE: In treatment techniques such as dynamic arc, the manual verification of treatment planning system calculations is very difficult. In these cases, the use of computational tools is useful and becomes an essential component of the quality assurance program. MATERIALS AND METHODS: A worksheet-based software has been created to perform an independent dose or monitor unit calculation in treatments applying the dynamic arc technique delivered with micromultileaf collimator. The dose values calculated per arc and per complete treatment, are compared with values obtained from BrainScan v5.3 treatment planning system. The software has been tested with 229 dynamic arc fields representing 42 skull treatments. From these 229 fields, 109 have been calculated in 3D reconstruction of patients CT images, 109 in reconstruction of polymethylmetacrylate phantom images, and 21 in reconstruction of images from a water equivalent phantom. RESULTS: The mean difference of total doses found in the 42 treatments (composites of one or more dynamic arcs), between the verification software and the treatment planning system, was of +1.73% with a 0.76% standard deviation. The maximum difference was 3.32% and the minimum -0.20%. When the 229 dynamic arcs were tested one by one, the average difference found was 1.61% with a 1.04% standard deviation. Maximum and minimum differences were, respectively 4.01% and -2.04%. As a result of the test, in 80.35% the doses calculated have presented a ± 2.5% difference in relation to the doses generated by the planning system. CONCLUSION: The software presented in this study is recommended for checking point dose included in treatment plans as an integral part of the process of quality assurance in radiotherapy and stereotactic radiosurgery when the dynamic arc technique is utilized in treatment with micromultileaf collimator, where a manual calculation is very difficult or even impracticable due the technique complexity.

Radiotherapy; Stereotactic radiosurgery; Linac; Quality assurance in radiotherapy; Monitor unit calculation; Micromultileaf collimator


OBJETIVO: Em técnicas de tratamento como o arco dinâmico, a verificação manual dos cálculos do sistema de planejamento é muito difícil. Assim, a utilização de ferramentas computacionais é de utilidade e torna-se componente essencial do programa de controle de qualidade. MATERIAIS E MÉTODOS: Foi criado um programa computacional de tipo planilha eletrônica para realizar cálculo independente da dose, ou equivalente das unidades monitoras, nos tratamentos realizados pela técnica de arco dinâmico com micromultilâminas. Os valores de dose calculados, por arco e por tratamento completo, foram comparados aos valores obtidos do sistema de planejamento BrainScan v5.3. O programa desenvolvido foi testado com 229 campos de arco dinâmico que representam 42 tratamentos de crânio. Desses, 109 campos foram calculados em reconstrução tridimensional feita a partir das imagens de tomografia dos pacientes, 109 na reconstrução de um objeto simulador de polimetilmetacrilato e 21 na de um objeto simulador sólido equivalente à água. RESULTADOS: A diferença média de doses totais encontrada nos 42 tratamentos (compostos de um ou mais arcos dinâmicos), entre o programa de verificação e o sistema de planejamento, foi de +1,73%, com desvio-padrão de 0,76%. A diferença máxima encontrada foi de 3,32% e a mínima, de -0,20%. No caso dos 229 arcos testados um a um, a diferença média encontrada foi de 1,61%, com desvio-padrão de 1,04%. Os valores máximos e mínimos das diferenças foram de 4,01% e -2,04%, respectivamente. Em 80,35% dos arcos testados, as doses calculadas acham-se na faixa de ± 2,5% de diferença com relação às doses geradas pelo sistema de planejamento. CONCLUSÃO: O programa apresentado é recomendado para a verificação da dose pontual dos planos de tratamento, como parte do procedimento de garantia de qualidade em radioterapia e radiocirurgia estereotáxica quando se utiliza a técnica de arco dinâmico por meio de um colimador micromultilâminas, nos quais um cálculo manual é muito difícil ou inviável, pela complexidade da técnica.

Radioterapia; Radiocirurgia estereotáxica; Acelerador linear; Controle de qualidade em radioterapia; Cálculo de unidades monitoras; Colimador micromultilâminas


ORIGINAL ARTICLE

Independent dose calculation for dynamic arc treatments delivered with micromultileaf collimator* * Study developed at Hospital Israelita Albert Einstein Department of Radiotherapy, São Paulo, SP, Brazil.

Juan Fernando DelgadoI; André Mozart Miranda VieiraII; José Carlos CruzIII; Laura Natal RodriguesIV

IPhysicist, Master in Applied Nuclear Technology by Instituto de Pesquisas Energéticas e Nucleares – Universidade de São Paulo. Hospital Oncológico "Solón Espinosa Ayala" SOLCA – Nucleus of Quito, Ecuador

IIPhysicist, Doctor by Instituto de Pesquisas Energéticas e Nucleares – Universidade de São Paulo

IIIPhysicist, Doctor at Hospital Israelita Albert Einstein Department of Radiotherapy

IVPhysicist, Doctor at Instituto de Pesquisas Energéticas e Nucleares – Universidade de São Paulo

Mailing address Mailing address: Juan Fernando Delgado Avenida Eloy Alfaro, s/n y Los Pinos Hospital Oncológico SOLCA – Quito Departamento de Radiologia. Quito, Ecuador E-mail: juan@abfm.org.br / jdelgado@solcaquio.org.ec

ABSTRACT

OBJECTIVE: In treatment techniques such as dynamic arc, the manual verification of treatment planning system calculations is very difficult. In these cases, the use of computational tools is useful and becomes an essential component of the quality assurance program.

MATERIALS AND METHODS: A worksheet-based software has been created to perform an independent dose or monitor unit calculation in treatments applying the dynamic arc technique delivered with micromultileaf collimator. The dose values calculated per arc and per complete treatment, are compared with values obtained from BrainScan v5.3 treatment planning system. The software has been tested with 229 dynamic arc fields representing 42 skull treatments. From these 229 fields, 109 have been calculated in 3D reconstruction of patients CT images, 109 in reconstruction of polymethylmetacrylate phantom images, and 21 in reconstruction of images from a water equivalent phantom.

RESULTS: The mean difference of total doses found in the 42 treatments (composites of one or more dynamic arcs), between the verification software and the treatment planning system, was of +1.73% with a 0.76% standard deviation. The maximum difference was 3.32% and the minimum –0.20%. When the 229 dynamic arcs were tested one by one, the average difference found was 1.61% with a 1.04% standard deviation. Maximum and minimum differences were, respectively 4.01% and –2.04%. As a result of the test, in 80.35% the doses calculated have presented a ± 2.5% difference in relation to the doses generated by the planning system.

CONCLUSION: The software presented in this study is recommended for checking point dose included in treatment plans as an integral part of the process of quality assurance in radiotherapy and stereotactic radiosurgery when the dynamic arc technique is utilized in treatment with micromultileaf collimator, where a manual calculation is very difficult or even impracticable due the technique complexity.

Keywords: Radiotherapy; Stereotactic radiosurgery; Linac; Quality assurance in radiotherapy; Monitor unit calculation; Micromultileaf collimator.

INTRODUCTION

A program of quality control in external beam radiotherapy should check the monitor units independently from the planning system calculation. In cases where conventional treatment techniques are utilized, this verification may be manually performed in a very simple way.

With new treatment techniques like intensity-modulated radiation therapy (IMRT) and dynamic arc, the point dose calculation and the dose distribution in the treatment planning are extremely complex so the manual verification is very difficult or even unfeasible. In these cases, computational tools play an important role in the verification and, together with the absolute dose measurement, become an essential element in the program of quality control for the above mentioned techniques. Each conformational dynamic arc treatment carries a significant number of segments which should be checked, since, the planning system generates a segment at each 10º of the arc. Usually, a treatment includes several arcs.

One of the treatment techniques for stereotactic surgery is the dynamic arc modality. The principle of this technique is the target-volume conformation releasing a high dose on it, and preserving the surrounding healthy tissues. During the treatment delivery, the accelerator gantry rotates forming an arc and the field shape formed by the dynamic micromultileaf collimator (mMLC) changes continuously.

This technique presents advantages in relation to other dose conformation techniques, provided the implementation, diagnosis, planning, quality control and treatment are rigorously performed.

This study presents the results achieved by means of a worksheet-type software developed as a quality control and verification tool at Hospital Israelita Albert Einstein. The algorithm utilized in the development of the software allows the calculation of monitor units or absorbed-dose in dynamic arc treatments.

MATERIALS AND METHODS

The equipment utilized in radiotherapy treatments and radiosurgery with dynamic arc in Hospital Israelita Albert Einstein Radiotherapy Department is a Clinac 600C accelerator (Varian Medical Systems; Palo Alto, Califórnia, EUA) coupled with a mMLC system model m3 (BrainLAB, AG; Heimstetten, Germany). The system has the capacity to produce conformed fields, intensity-modulated fields in dynamic and static modes, and dynamic rotational therapy, also known as dynamic arc treatment(1).

Brainscan v. 5.3 (BrainLAB, AG; Heimstetten, Germany) is the planning system employed to generate the treatments. The calculation is accomplished in some stages: the geometric definition of the arc projections, the optimization considering the leaves physical characteristics and, finally, the contribution of the transmission through the mMLC. The direct calculation of the dose distribution is based on the strictly collimated beam algorithm ("pencil beam")(2,3) and utilizes correction for heterogeneity.

Once the planning of the dynamic arc treatment is completed, it is reviewed and discussed between radiotherapist and physicist for approval. After approval, the treatment plan data are forwarded through the register and verification network to the linear accelerator control.

At this moment the tasks of quality control of the treatment plan selected should be developed. The planning system allows the plan to be exported to a phantom on which it is possible to perform absolute dose measurements with an ionization chamber, and dose distribution measurements with a dosimetry verification film. Then, the treatment data for each arc, such as initial and final gantry angles, table angle, isocenter points, mMLC configurations, monitor dose and units are verified. The determination of absolute dose should be based on the plan generated in the phantom, in compliance with protocols for determination of absorbed dose(4,5).

Other important stage of the quality control program, is the verification of monitor units calculated by the planning system(6–9). A worksheet-type software has been developed to facilitate the monitor units calculation that, differently from the conventional radiotherapy techniques, cannot be performed in a direct and intuitive way. The initial idea is checking the calculation with few entry data(10).

In the process of monitor units verification, the software depends on some parameters to calculate the dose estimated by the planning system in the normalization point. The following parameters are utilized:

– the files with the mMLC leaves positions for each arc, divided into segments separated by a gantry angle of 10º, transferred by the planning system;

– the mean water-equivalent depth of the normalization point for each arc;

– the monitor units (or dose) in the final report of the plan selected.

In Figure 1, there is an example of a screen displaying a text file (.txt) transferred by the planning system, including the number of segments and the leaves positions for each treatment field segment.


With these three data sets, the software calculates the equivalent square of each segment of the treatment arcs utilizing the Sterling ratio(11). With the equivalent depth of each arc, the software determines the values of maximum tissue ratio, scattering factors and off-axis ratios, with basis on the values obtained in the equipment commissioning(12,13).

For the purpose of determining the off-axis ratios for each segment, the gravitational coordinates must be calculated as follows:

The total number of monitor units for each dynamic arc is equally distributed among the arc segments. The contribution of each arc segment (coni), on the prescribed dose at the normalization point (on the central axis) is defined according to the degree of the normalization point coverage by the leaves. If the distance from the normalization point to the edge nearest the leaves is > 0.5 cm, the uncovered field contribution is maximum (coni = 1.0). For the points covered by the leaves in at least 0.5 cm, the contribution is that determined by the multileaf system transmission resulted from the system commissioning(13). When the normalization point is between the points previously described, localized at 0.5 from the leaves edges and covered up to 0.5 cm, the algorithm determines the contribution by linear interpolation, depending on the normalization point position in relation to the leaves.

So, the monitor units of each segment are determined as follows:

where UMSP are monitor units calculated by the planning system and UMi are monitor units of each segment.

The dose whereby each segment contributes to the normalization point is calculated as follows:

where Di is the dose of each segment; UMi are monitor units of each segment; TMRi is the maximum tissue ratio at the equivalent depth for each segment;, Scp,i is the total scattering factor for the equivalent field of the segment being calculated.. OARi is the off-axis ratio from the position of the segment gravitation point.

The total arc dose is obtained by the sum of segments contributions:

The doses calculated by the software (DAD-VER) have been compared with the doses calculated by the planning system (DAD-SP):

Also, results were compared with basis on the total doses in different treatments. In these cases, the differences between the treatment dose generated by the verification (DTOTAL-VER) and the total dose calculated by the planning system (DTOTAL-SP) have been found as follows:

All of the fields tested have been compared with the respective planning system calculations. In some cases, the calculations have been based on patients CT images (DAD-VER-PAC), in other, the calculations have been based on CT images of a solid water-equivalent phantom (Solid Water® – SW), the doses being calculated by the system (DAD-VER-SW) and, finally, the cases where a polymethylmetacrylate (PMMA) phantom (DAD-VER-PMMA), the latest being developed just to test dynamic arc and intensity-modulated fields, simulating a skull. In all the cases included in the present study, the material-density correction factor inherent in the planning system has been utilized.

As already described, each treatment arc presents a certain number of segments, depending on the arc amplitude. In the present study, the highest number of segments per arc utilized in calculations was 13, and the lowest was seven segments, corresponding respectively to 120º and 60º arcs.

Figure 2 shows a screen displaying the results of the worksheet with an example of a nine-segment arc calculation.


RESULTS

The software has been tested with 229 dynamic arc beams with the above mentioned algorithm. These 229 beams correspond to 42 skull treatments. Of these 229 fields, 109 have been calculated in the planning system on patients CT images, 109 in polymethylmetacrylate (PMMA) phantom images, and 21 in a solid water-equivalent (SW) phantom.

The difference found in total doses of the 42 dynamic arc treatments between the verification software and the planning system was +1, 73%, with 0.76% standard deviation. The maximum difference found was 3.32% and the minimum,–020%. The results are shown in Figure 3.


For the 229 arcs, the mean difference found was 1.61%, with a 1.04% standard deviation. These results are shown in Figure 4. The maximum and minimum differences were respectively 4.01% and –2.04%.


The 229 arcs have been analyzed according to the medium where the planning system calculations were performed (patients CT images, PMMA phantom or SW phantom). Results are shown in Figures 5, 6 and 7, and Table 1.




From the total of cases, 80.35% of beams were in the range of ± 2.5% difference related to the doses calculated by the planning system. The values found in the present study are similar to those found in studies published in the literature by Linthout(14) and Linthout et al.(15).

DISCUSSION

A reason for deviations found in the present study is the utilization of a single mean depth (called "equivalent depth" by the planning system) for all the segments of a same arc, generating an approximate result. For a more accurate calculation, the depth of each segment should be utilized rather than the mean segments depth. However, this data is utilized because it is supplied by the treatment report and can be easily included in the worksheet for the respective calculation. On the other hand, when this method is utilized for independent verification of IMRT fields, this depth is the same for all the segments forming a field.

Another reason for differences is that the verification software algorithm considers the calculation medium as a homogeneous medium, without heterogeneities (bones, air cavities, etc.), notwithstanding resolving the problem with the utilization of the equivalent depth.

The algorithm utilized permits the method to be extrapolated to IMRT fields, since the calculation of these fields in the planning system is performed by means of the strictly collimated beam algorithm(16). For this purpose, it should be taken into consideration that in IMRT fields, the number of segments per treatment field is higher, and that many of these segments will contribute to the total dose due only to the leaves transmission.

CONCLUSIONS

The verification software developed is an useful tool in dynamic arc treatment quality control programs utilizing the BrainLab system and with fields shaping by BrainScan strictly collimated beam algorithm.

The use of the software described in the present study is recommended for radiotherapy services which utilize this type of equipment/technique, since it adds a method for checking data resulting from the planning system calculations for dynamic arc treatments. In 80.35% of tested arcs the doses calculated were in the range of ± 2.5% difference related to the doses calculated by the planning system.

This algorithm can be implemented in services of Radiotherapy which utilize the mMLC system BrainLab m3, provided the dosimetry data of the equipment are entered together with the values of beam penumbra and leaf transmission obtained in the equipment commissioning.

REFERENCES

Received October 16, 2005.

Accepted after revision November 8, 2005.

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  • 14. Linthout N. Evaluation of conformal radiation therapy techniques using various multileaf collimators. (Tese de Doutorado). Brussels: Vrije Universiteit Brussels, Faculteit Geneeskunde en Farmacie, 2003.
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  • 16
    Software Guide BrainScan. Version 5.3. Art. No. 60900-90 EN. Heimstetten, Germany: BrainLAB AG.
  • Mailing address:
    Juan Fernando Delgado
    Avenida Eloy Alfaro, s/n y Los Pinos
    Hospital Oncológico SOLCA – Quito
    Departamento de Radiologia. Quito, Ecuador
    E-mail:
  • *
    Study developed at Hospital Israelita Albert Einstein Department of Radiotherapy, São Paulo, SP, Brazil.
  • Publication Dates

    • Publication in this collection
      21 Nov 2006
    • Date of issue
      Oct 2006

    History

    • Received
      16 Oct 2005
    • Accepted
      08 Nov 2005
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