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FältnamnIndikatorerMetadata
00006372naa a2200493 4500
001oai:DiVA.org:liu-120661
003SwePub
008150820s2015 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1206612 URI
024a https://doi.org/10.1118/1.49210202 DOI
040 a (SwePub)liu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Ballester, Facundou University of Valencia, Spain4 aut
2451 0a A generic high-dose rate Ir-192 brachytherapy source for evaluation of model-based dose calculations beyond the TG-43 formalism
264 c 2015-05-27
264 1b American Association of Physicists in Medicine: Medical Physics,c 2015
338 a print2 rdacarrier
520 a Purpose: 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) Ir-192 source and a virtual water phantom were designed, which can be imported into a TPS. Methods: A hypothetical, generic HDR Ir-192 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 Ir-192 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 (R) Brachy with advanced collapsed-cone engine (ACE) and BrachyVision AcuRos (TM)]. 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 Ir-192 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. Results: 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. Conclusions: A hypothetical, generic HDR Ir-192 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. (C) 2015 American Association of Physicists in Medicine.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicin0 (SwePub)3022 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicine0 (SwePub)3022 hsv//eng
653 a Ir-192; HDR brachytherapy; Monte Carlo methods; model-based dose calculation; TG-186
700a Carlsson Tedgren, Åsau Linköpings universitet,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Region Östergötland, Radiofysikavdelningen US,Karolinska University Hospital, Sweden4 aut0 (Swepub:liu)asaca90
700a Granero, Domingou Hospital Gen University, Spain4 aut
700a Haworth, Annetteu Peter MacCallum Cancer Centre, Australia; RMIT University, Australia4 aut
700a Mourtada, Firasu Helen F Graham Cancer Centre, DE 19713 USA4 aut
700a Paiva Fonseca, Gabrielu CNEN SP, Brazil; Maastricht University, Netherlands4 aut
700a Zourari, Kyveliu University of Athens, Greece4 aut
700a Papagiannis, Panagiotisu University of Athens, Greece4 aut
700a Rivard, Mark J.u Tufts University, MA 02111 USA4 aut
700a Siebert, Frank-Andreu University Hospital Schleswig Holstein, Germany4 aut
700a Sloboda, Ron S.u Cross Cancer Institute, Canada; University of Alberta, Canada4 aut
700a Smith, Ryan L.u Alfred Hospital, Australia4 aut
700a Thomson, Rowan M.u Carleton University, Canada4 aut
700a Verhaegen, Franku Maastricht University, Netherlands; McGill University, Canada4 aut
700a Vijande, Javieru University of Valencia, Spain; IFIC CSIC UV, Spain4 aut
700a Ma, Yunzhiu CHU Quebec, Canada; University of Laval, Canada; University of Laval, Canada4 aut
700a Beaulieu, Lucu CHU Quebec, Canada; University of Laval, Canada; University of Laval, Canada4 aut
710a University of Valencia, Spainb Avdelningen för radiologiska vetenskaper4 org
773t Medical physics (Lancaster)d : American Association of Physicists in Medicine: Medical Physicsg 42:6, s. 3048-3062q 42:6<3048-3062x 0094-2405
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120661
8564 8u https://doi.org/10.1118/1.4921020

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