Dosimetric characterization of an 192Ir brachytherapy source with the Monte Carlo code PENELOPE

Casado, F. Javier; García-Pareja, S.; Cenizo, Elena; Mateo, B; Bodineau, Coral; Galán, P.

doi:10.1016/j.ejmp.2009.11.001

Cited by 20 publications

(9 citation statements)

References 20 publications

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“…There was good agreement among different simulations, with discrepancies over 5% distributed in angles very close to 0° and 180° and for large r values (over 10 cm) 10 , 11 , 12 , 13 …”

Section: Discussionmentioning

confidence: 53%

“…To ensure the reliability of our code, we compared

{(\overset{\cdot}{normalD} (y, z) / {normalS}_{normalK})}_{code}

with respect to the ESTRO along‐away dose rate table (

{(\overset{\cdot}{normalD} (y, z) / {normalS}_{normalK})}_{ESTRO}

) for the Vs2000 source, which consists of a point array in y (axial source axis) and z (long source axis) coordinates with 362 reference points centered in the middle of the active core. Moreover, to analyze the plausibility of the reference data election, we performed a short comparison with respect to other references regarding the source under study 11 , 12 , 13 …”

Section: Methodsmentioning

confidence: 99%

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Brachytherapy treatment planning commissioning: effect of the election of proper bibliography and finite size of TG‐43 input data on standard treatments

Valdés

Piriz

Lozano

2015

J Applied Clin Med Phys

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The aim of this work is to evaluate the performance of a commercial brachytherapy treatment planning system (TPS) with TG‐43 Vendors Input Data (VID), analyze possible discrepancies with respect to a proper reference source and its implications for standard treatments, and judge the effectiveness of certain widespread recommended quality controls to find potential errors related with the interpolations of TG‐43 VID tables. The TPS evaluated was a BrachyVision 8.6 loaded with TG‐43 VID for a VariSource high‐dose‐rate 192Ir source (Vs2000). The reference data chosen were the TG‐43 data published in the literature. In the first step, we compared TG‐43 VID with respect to the chosen reference data. Next, we used percent dose‐rate differences in a point array matrix to compare the outcomes of the TPS on standard treatment setup with respect to an in‐house developed program (MATLAB R2009a‐based) loaded with the chosen full TG‐43 reference data. The cases with major discrepancies were evaluated using the gamma‐index analysis. The comparison with the reference data indicated a lack of sample in the angles between near to the tip (between 165<θ<180) and cable (0<θ<15) of the F(r,θ)VID, which causes a dose underestimation of approximately 17% in the investigated points due to inaccurate interpolations. The differences over 2% encompassed approximately 17% of the surrounding source volume. These results have special relevance in treatment using one applicator with a few dwell steps or in Fletcher treatments where 10% dose underestimates were identified within the tumor or in organs at risk, respectively. Our results suggest that the differences found in the TPS under study are created by a lack of information on the angles in high‐gradient zones in the F(r,θ)VID, which generates important differences in dosimetric results. In contrast, the gamma analysis shows very good results (between 90% and 100% of passed points) in the analyzed treatments (one dwell and Fletcher). Further studies are required to exclude the possibility of finding noticeable effects in the DVH of treatment plans caused by the discrepancies here described. To achieve more strict control over the TPS dose‐rate calculation, we recommend using QA test thinking in a source with nonaxial symmetry, adding a control point on the angles of the high‐dose gradient zones (e.g., between 0° and 15° and between 165° and 180°). More studies are required to achieve full understanding of the clinical implication of such discrepancies.PACS number: 87.55.Qr

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“…There was good agreement among different simulations, with discrepancies over 5% distributed in angles very close to 0° and 180° and for large r values (over 10 cm) 10 , 11 , 12 , 13 …”

Section: Discussionmentioning

confidence: 53%

“…To ensure the reliability of our code, we compared

{(\overset{\cdot}{normalD} (y, z) / {normalS}_{normalK})}_{code}

with respect to the ESTRO along‐away dose rate table (

{(\overset{\cdot}{normalD} (y, z) / {normalS}_{normalK})}_{ESTRO}

Section: Methodsmentioning

confidence: 99%

Brachytherapy treatment planning commissioning: effect of the election of proper bibliography and finite size of TG‐43 input data on standard treatments

Valdés

Piriz

Lozano

2015

J Applied Clin Med Phys

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“…(4,7,8) According to the American Association of Physicists in Medicine (AAPM) TG-43U1 recommendations, before using each new source in treatment planning calculations, the dosimetric characteristics of the source must be determined to provide reliable data. (9)(10)(11)(12) The dosimetry dataset of 169 Yb as a novel HDR source has not been implemented to new updated reports and it has not been commercially fabricated yet. Therefore various models of 169 Yb have been investigated by experts, using different dosimetry characterization methods, ranging from Monte Carlo calculations to experimental measurements, with various level of perception of their results.…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo characterization of as a high‐dose‐rate source for brachytherapy application by FLUKA code

Anjomrouz

Sadeghi

Haddadi

2013

J Applied Clin Med Phys

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Higher initial dose rate and simplifying HDR room treatment of 169Yb element among other brachytherapy sources has led to investigating its feasibility as high‐dose‐rate seed. In this work, Monte Carlo calculation was performed to obtain dosimetric parameters of 169Yb, Model M42 source at different radial distances according to AAPM TG‐43U1 and HEBD Report about HDR sources in both air vacuum and spherical homogeneous water phantom. The deposited energy resulted by FLUKA as Monte Carlo code using binning estimators around 169Yb source was converted into radial dose rate distribution in polar coordinates surrounding the brachytherapy source. The results indicate a dose rate constant of 1.14±0.04.2emcGy.h−1.U−1 with approximate uncertainty of 0.04%, air kerma strength, 1.082±2.6normalE−06.2emnormalU.mCi−1 and anisotropy function ranging from 0.386 to 1.00 for radial distances of 0.5–10 cm and polar angles of 0°–180°. Overall, FLUKA dosimetric outputs were benchmarked with those published by Cazeca et al. via MCNP5 as one of validate dosimetry datasets related to 169Yb HDR source. As a result, it seems that FLUKA code can be applicable as a valuable tool to Monte Carlo evaluation of novel HDR brachytherapy sources.PACS number: 87.15.ak

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“…The quality of the results provided by different simulation codes is directly linked with the accuracy of the transport model and implemented by libraries that contain the data associated with the cross section of particles transported [4]. The transport algorithm implemented by PENELOPE [3], led to its extensive use in radiotherapy [21][22][23][24][25][26][27].…”

Section: Penelope Simulation Codementioning

confidence: 99%

Applications to Radiotherapy Using Three Different Dosimetric Tools: MAGIC-f Gel, PENELOPE Simulation Code and Treatment Planning System

Pianoschi¹,

Alva-Sánchez²

2013

Frontiers in Radiation Oncology

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Dosimetric characterization of an 192Ir brachytherapy source with the Monte Carlo code PENELOPE

Cited by 20 publications

References 20 publications

Brachytherapy treatment planning commissioning: effect of the election of proper bibliography and finite size of TG‐43 input data on standard treatments

Brachytherapy treatment planning commissioning: effect of the election of proper bibliography and finite size of TG‐43 input data on standard treatments

Monte Carlo characterization of as a high‐dose‐rate source for brachytherapy application by FLUKA code

Applications to Radiotherapy Using Three Different Dosimetric Tools: MAGIC-f Gel, PENELOPE Simulation Code and Treatment Planning System

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