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A generic high‐dose rate 192Ir brachytherapy source for evaluation of model‐based dose calculations beyond the TG‐43 formalism

Overview of attention for article published in Medical Physics, May 2015
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Title
A generic high‐dose rate 192Ir brachytherapy source for evaluation of model‐based dose calculations beyond the TG‐43 formalism
Published in
Medical Physics, May 2015
DOI 10.1118/1.4921020
Pubmed ID
Authors

Facundo Ballester, Åsa Carlsson Tedgren, Domingo Granero, Annette Haworth, Firas Mourtada, Gabriel Paiva Fonseca, Kyveli Zourari, Panagiotis Papagiannis, Mark J Rivard, Frank-André Siebert, Ron S Sloboda, Ryan L Smith, Rowan M Thomson, Frank Verhaegen, Javier Vijande, Yunzhi Ma, Luc Beaulieu

Abstract

In order to facilitate a smooth transition for brachytherapy dose calculations from the American Association of Physicists in Medicine (AAPM) Task Group No. 43 (TG-43) formalism to model-based dose calculation algorithms (MBDCAs), treatment planning systems (TPSs) using a MBDCA require a set of well-defined test case plans characterized by Monte Carlo (MC) methods. This also permits direct dose comparison to TG-43 reference data. Such test case plans should be made available for use in the software commissioning process performed by clinical end users. To this end, a hypothetical, generic high-dose rate (HDR) (192)Ir source and a virtual water phantom were designed, which can be imported into a TPS. A hypothetical, generic HDR (192)Ir source was designed based on commercially available sources as well as a virtual, cubic water phantom that can be imported into any TPS in DICOM format. The dose distribution of the generic (192)Ir source when placed at the center of the cubic phantom, and away from the center under altered scatter conditions, was evaluated using two commercial MBDCAs [Oncentra(®) Brachy with advanced collapsed-cone engine (ace) and BrachyVision acuros™ ]. Dose comparisons were performed using state-of-the-art MC codes for radiation transport, including algebra, BrachyDose, geant4, mcnp5, mcnp6, and penelope2008. The methodologies adhered to recommendations in the AAPM TG-229 report on high-energy brachytherapy source dosimetry. TG-43 dosimetry parameters, an along-away dose-rate table, and primary and scatter separated (PSS) data were obtained. The virtual water phantom of (201)(3) voxels (1 mm sides) was used to evaluate the calculated dose distributions. Two test case plans involving a single position of the generic HDR (192)Ir source in this phantom were prepared: (i) source centered in the phantom and (ii) source displaced 7 cm laterally from the center. Datasets were independently produced by different investigators. MC results were then compared against dose calculated using TG-43 and MBDCA methods. TG-43 and PSS datasets were generated for the generic source, the PSS data for use with the ace algorithm. The dose-rate constant values obtained from seven MC simulations, performed independently using different codes, were in excellent agreement, yielding an average of 1.1109 ± 0.0004 cGy/(h U) (k = 1, Type A uncertainty). MC calculated dose-rate distributions for the two plans were also found to be in excellent agreement, with differences within type A uncertainties. Differences between commercial MBDCA and MC results were test, position, and calculation parameter dependent. On average, however, these differences were within 1% for acuros and 2% for ace at clinically relevant distances. A hypothetical, generic HDR (192)Ir source was designed and implemented in two commercially available TPSs employing different MBDCAs. Reference dose distributions for this source were benchmarked and used for the evaluation of MBDCA calculations employing a virtual, cubic water phantom in the form of a CT DICOM image series. The implementation of a generic source of identical design in all TPSs using MBDCAs is an important step toward supporting univocal commissioning procedures and direct comparisons between TPSs.

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Geographical breakdown

Country Count As %
Spain 1 1%
Ireland 1 1%
Unknown 78 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 20%
Researcher 11 14%
Student > Master 11 14%
Student > Bachelor 5 6%
Professor > Associate Professor 5 6%
Other 14 18%
Unknown 18 23%
Readers by discipline Count As %
Physics and Astronomy 33 41%
Medicine and Dentistry 12 15%
Agricultural and Biological Sciences 3 4%
Social Sciences 2 3%
Computer Science 2 3%
Other 3 4%
Unknown 25 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2015.
All research outputs
#16,721,717
of 25,374,647 outputs
Outputs from Medical Physics
#5,169
of 7,984 outputs
Outputs of similar age
#158,638
of 280,163 outputs
Outputs of similar age from Medical Physics
#112
of 567 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,984 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,163 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 567 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.