Literature DB >> 23927339

Detector density and small field dosimetry: integral versus point dose measurement schemes.

T S A Underwood1, H C Winter, M A Hill, J D Fenwick.   

Abstract

PURPOSE: The Alfonso et al. [Med. Phys. 35, 5179-5186 (2008)] formalism for small field dosimetry proposes a set of correction factors (kQclin,Qmsrfclin,fmsr) which account for differences between the detector response in nonstandard (clinical) and machine-specific-reference fields. In this study, the Monte Carlo method was used to investigate the viability of such small field correction factors for four different detectors irradiated under a variety of conditions. Because kQclin,Qmsrfclin,fmsr values for single detector position measurements are influenced by several factors, a new theoretical formalism for integrated-detector-position [dose area product (DAP)] measurements is also presented and was tested using Monte Carlo simulations.
METHODS: A BEAMnrc linac model was built and validated for a Varian Clinac iX accelerator. Using the egs++ geometry package, detailed virtual models were built for four different detectors: a PTW 60012 unshielded diode, a PTW 60003 Diamond detector, a PTW 31006 PinPoint (ionization chamber), and a PTW 31018 MicroLion (liquid-filled ionization chamber). The egs_chamber code was used to investigate the variation of kQclin,Qmsrfclin,fmsr with detector type, detector construction, field size, off-axis position, and the azimuthal angle between the detector and beam axis. Simulations were also used to consider the DAP obtained by each detector: virtual detectors and water voxels were scanned through high resolution grids of positions extending far beyond the boundaries of the fields under consideration.
RESULTS: For each detector, the correction factor (kQclin,Qmsrfclin,fmsr) was shown to depend strongly on detector off-axis position and detector azimuthal angle in addition to field size. In line with previous studies, substantial interdetector variation was also observed. However, it was demonstrated that by considering DAPs rather than single-detector-position dose measurements the high level of interdetector variation could be eliminated. Under small field conditions, mass density was found to be the principal determinant of water equivalence. Additionally, the mass densities of components outside the sensitive volumes were found to influence the detector response.
CONCLUSIONS: kQclin,Qmsrfclin,fmsr values for existing detector designs depend on a host of variables and their calculation typically relies on the use of time-intensive Monte Carlo methods. Future moves toward density-compensated detector designs or DAP based protocols may simplify the methodology of small field dosimetry.

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Year:  2013        PMID: 23927339     DOI: 10.1118/1.4812687

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

1.  Evaluation of beam modeling for small fields using a flattening filter-free beam.

Authors:  Daisuke Kawahara; Shuichi Ozawa; Takeo Nakashima; Masamichi Aita; Shintaro Tsuda; Yusuke Ochi; Takuro Okumura; Hirokazu Masuda; Yoshimi Ohno; Yuji Murakami; Yasushi Nagata
Journal:  Radiol Phys Technol       Date:  2016-06-21

2.  Output factor determination based on Monte Carlo simulation for small cone field in 10-MV photon beam.

Authors:  Kyohei Fukata; Satoru Sugimoto; Chie Kurokawa; Akito Saito; Tatsuya Inoue; Keisuke Sasai
Journal:  Radiol Phys Technol       Date:  2018-04-04

3.  Small field detector correction factors: effects of the flattening filter for Elekta and Varian linear accelerators.

Authors:  Madelaine K Tyler; Paul Z Y Liu; Christopher Lee; David R McKenzie; Natalka Suchowerska
Journal:  J Appl Clin Med Phys       Date:  2016-05-08       Impact factor: 2.102

4.  Evaluation of the IAEA-TRS 483 protocol for the dosimetry of small fields (square and stereotactic cones) using multiple detectors.

Authors:  Clare L Smith; Atousa Montesari; Christopher P Oliver; Duncan J Butler
Journal:  J Appl Clin Med Phys       Date:  2019-12-30       Impact factor: 2.102

5.  A multi-center output factor intercomparison to uncover systematic inaccuracies in small field dosimetry.

Authors:  Stefania Clemente; Laura Masi; Christian Fiandra; Elisabetta Cagni; Elena Villaggi; Marco Esposito; Francesca Romana Giglioli; Carmelo Marino; Lidia Strigari; Cristina Garibaldi; Michele Stasi; Pietro Mancosu; Serenella Russo
Journal:  Phys Imaging Radiat Oncol       Date:  2018-03-26

6.  A multinational audit of small field output factors calculated by treatment planning systems used in radiotherapy.

Authors:  Wolfgang Lechner; Paulina Wesolowska; Godfrey Azangwe; Mehenna Arib; Victor Gabriel Leandro Alves; Luo Suming; Daniela Ekendahl; Wojciech Bulski; José Luis Alonso Samper; Sumanth Panyam Vinatha; Srimanoroth Siri; Milan Tomsej; Mikko Tenhunen; Julie Povall; Stephen F Kry; David S Followill; David I Thwaites; Dietmar Georg; Joanna Izewska
Journal:  Phys Imaging Radiat Oncol       Date:  2018-03-06

7.  Output correction factors for small static fields in megavoltage photon beams for seven ionization chambers in two orientations - perpendicular and parallel.

Authors:  Božidar Casar; Eduard Gershkevitsh; Ignasi Mendez; Slaven Jurković; M Saiful Huq
Journal:  Med Phys       Date:  2019-11-25       Impact factor: 4.071

8.  An analytical formalism for the assessment of dose uncertainties due to positioning uncertainties.

Authors:  Wolfgang Lechner; Dietmar Georg; Hugo Palmans
Journal:  Med Phys       Date:  2020-01-26       Impact factor: 4.071

9.  Small field output correction factors of the microSilicon detector and a deeper understanding of their origin by quantifying perturbation factors.

Authors:  Carolin Weber; Rafael Kranzer; Jan Weidner; Kevin Kröninger; Björn Poppe; Hui Khee Looe; Daniela Poppinga
Journal:  Med Phys       Date:  2020-04-13       Impact factor: 4.071

  9 in total

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