Literature DB >> 27315667

Agreement Between Institutional Measurements and Treatment Planning System Calculations for Basic Dosimetric Parameters as Measured by the Imaging and Radiation Oncology Core-Houston.

James R Kerns1, David S Followill1, Jessica Lowenstein2, Andrea Molineu2, Paola Alvarez2, Paige A Taylor2, Stephen F Kry3.   

Abstract

PURPOSE: To compare radiation machine measurement data collected by the Imaging and Radiation Oncology Core at Houston (IROC-H) with institutional treatment planning system (TPS) values, to identify parameters with large differences in agreement; the findings will help institutions focus their efforts to improve the accuracy of their TPS models. METHODS AND MATERIALS: Between 2000 and 2014, IROC-H visited more than 250 institutions and conducted independent measurements of machine dosimetric data points, including percentage depth dose, output factors, off-axis factors, multileaf collimator small fields, and wedge data. We compared these data with the institutional TPS values for the same points by energy, class, and parameter to identify differences and similarities using criteria involving both the medians and standard deviations for Varian linear accelerators. Distributions of differences between machine measurements and institutional TPS values were generated for basic dosimetric parameters.
RESULTS: On average, intensity modulated radiation therapy-style and stereotactic body radiation therapy-style output factors and upper physical wedge output factors were the most problematic. Percentage depth dose, jaw output factors, and enhanced dynamic wedge output factors agreed best between the IROC-H measurements and the TPS values. Although small differences were shown between 2 common TPS systems, neither was superior to the other. Parameter agreement was constant over time from 2000 to 2014.
CONCLUSIONS: Differences in basic dosimetric parameters between machine measurements and TPS values vary widely depending on the parameter, although agreement does not seem to vary by TPS and has not changed over time. Intensity modulated radiation therapy-style output factors, stereotactic body radiation therapy-style output factors, and upper physical wedge output factors had the largest disagreement and should be carefully modeled to ensure accuracy.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27315667      PMCID: PMC5113287          DOI: 10.1016/j.ijrobp.2016.03.035

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  11 in total

1.  Comparative measurements on a series of accelerators by the same vendor.

Authors:  R J Watts
Journal:  Med Phys       Date:  1999-12       Impact factor: 4.071

2.  Calculation of k(Q(clin),Q(msr) ) (f(clin),f(msr) ) for several small detectors and for two linear accelerators using Monte Carlo simulations.

Authors:  P Francescon; S Cora; N Satariano
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

3.  Beam characteristics of a new model of 6-MV linear accelerator.

Authors:  D P Fontenla; J J Napoli; C S Chui
Journal:  Med Phys       Date:  1992 Mar-Apr       Impact factor: 4.071

4.  Per-beam, planar IMRT QA passing rates do not predict clinically relevant patient dose errors.

Authors:  Benjamin E Nelms; Heming Zhen; Wolfgang A Tomé
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

5.  IMRT commissioning: multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119.

Authors:  Gary A Ezzell; Jay W Burmeister; Nesrin Dogan; Thomas J LoSasso; James G Mechalakos; Dimitris Mihailidis; Andrea Molineu; Jatinder R Palta; Chester R Ramsey; Bill J Salter; Jie Shi; Ping Xia; Ning J Yue; Ying Xiao
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

6.  Commissioning and dosimetric characteristics of TrueBeam system: composite data of three TrueBeam machines.

Authors:  Zheng Chang; Qiuwen Wu; Justus Adamson; Lei Ren; James Bowsher; Hui Yan; Andrew Thomas; Fang-Fang Yin
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

7.  Commissioning of the Varian TrueBeam linear accelerator: a multi-institutional study.

Authors:  C Glide-Hurst; M Bellon; R Foster; C Altunbas; M Speiser; M Altman; D Westerly; N Wen; B Zhao; M Miften; I J Chetty; T Solberg
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

8.  Technical Report: Reference photon dosimetry data for Varian accelerators based on IROC-Houston site visit data.

Authors:  James R Kerns; David S Followill; Jessica Lowenstein; Andrea Molineu; Paola Alvarez; Paige A Taylor; Francesco C Stingo; Stephen F Kry
Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

9.  AAPM Medical Physics Practice Guideline 5.a.: Commissioning and QA of Treatment Planning Dose Calculations - Megavoltage Photon and Electron Beams.

Authors:  Jennifer B Smilowitz; Indra J Das; Vladimir Feygelman; Benedick A Fraass; Stephen F Kry; Ingrid R Marshall; Dimitris N Mihailidis; Zoubir Ouhib; Timothy Ritter; Michael G Snyder; Lynne Fairobent
Journal:  J Appl Clin Med Phys       Date:  2015-09-08       Impact factor: 2.102

10.  The Radiological Physics Center's standard dataset for small field size output factors.

Authors:  David S Followill; Stephen F Kry; Lihong Qin; Jessica Lowenstein; Andrea Molineu; Paola Alvarez; Jose Francisco Aguirre; Geoffrey S Ibbott
Journal:  J Appl Clin Med Phys       Date:  2012-08-08       Impact factor: 2.102

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  12 in total

1.  Examining credentialing criteria and poor performance indicators for IROC Houston's anthropomorphic head and neck phantom.

Authors:  Mallory E Carson; Andrea Molineu; Paige A Taylor; David S Followill; Francesco C Stingo; Stephen F Kry
Journal:  Med Phys       Date:  2016-12       Impact factor: 4.071

2.  Dose calculation errors as a component of failing IROC lung and spine phantom irradiations.

Authors:  Sharbacha S Edward; Mallory C Glenn; Christine B Peterson; Peter A Balter; Julianne M Pollard-Larkin; Rebecca M Howell; David S Followill; Stephen F Kry
Journal:  Med Phys       Date:  2020-06-23       Impact factor: 4.071

3.  Development of a Monte Carlo multiple source model for inclusion in a dose calculation auditing tool.

Authors:  Austin M Faught; Scott E Davidson; Jonas Fontenot; Stephen F Kry; Carol Etzel; Geoffrey S Ibbott; David S Followill
Journal:  Med Phys       Date:  2017-08-01       Impact factor: 4.071

4.  Treatment Planning System Calculation Errors Are Present in Most Imaging and Radiation Oncology Core-Houston Phantom Failures.

Authors:  James R Kerns; Francesco Stingo; David S Followill; Rebecca M Howell; Adam Melancon; Stephen F Kry
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-04-04       Impact factor: 7.038

5.  The influence of small field output factors simulated uncertainties on the calculated dose in VMAT plans for brain metastases: a multicentre study.

Authors:  Stefania Clemente; Maria Daniela Falco; Elisabetta Cagni; Cinzia Talamonti; Mafalda Boccia; Eva Gino; Elena Lorenzini; Federica Rosica; Serenella Russo; Alessandro Alparone; Daniele Zefiro; Christian Fiandra
Journal:  Br J Radiol       Date:  2021-01-22       Impact factor: 3.039

6.  Evaluation of the high definition field of view option of a large-bore computed tomography scanner for radiation therapy simulation.

Authors:  Richard Y Wu; Tyler D Williamson; Narayan Sahoo; Trang Nguyen; Shane M Ikner; Amy Y Liu; Paul G Wisdom; MingFu Lii; Rachel A Hunter; Paola E Alvarez; G Brandon Gunn; Steven J Frank; Yoshifumi Hojo; X Ronald Zhu; Michael T Gillin
Journal:  Phys Imaging Radiat Oncol       Date:  2020-03-26

7.  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

8.  Impact of the MLC leaf-tip model in a commercial TPS: Dose calculation limitations and IROC-H phantom failures.

Authors:  Brandon Koger; Ryan Price; Da Wang; Dolla Toomeh; Sarah Geneser; Eric Ford
Journal:  J Appl Clin Med Phys       Date:  2020-01-21       Impact factor: 2.102

9.  A comparison of IROC and ACDS on-site audits of reference and non-reference dosimetry.

Authors:  Jessica Lye; Stephen Kry; Maddison Shaw; Francis Gibbons; Stephanie Keehan; Joerg Lehmann; Tomas Kron; David Followill; Ivan Williams
Journal:  Med Phys       Date:  2019-10-25       Impact factor: 4.071

10.  Sensitivity of IROC phantom performance to radiotherapy treatment planning system beam modeling parameters based on community-driven data.

Authors:  Mallory C Glenn; Christine B Peterson; Rebecca M Howell; David S Followill; Julianne M Pollard-Larkin; Stephen F Kry
Journal:  Med Phys       Date:  2020-08-16       Impact factor: 4.071

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