Literature DB >> 17441238

Effects of organ motion on IMRT treatments with segments of few monitor units.

J Seco1, G C Sharp, J Turcotte, D Gierga, T Bortfeld, H Paganetti.   

Abstract

Interplay between organ (breathing) motion and leaf motion has been shown in the literature to have a small dosimetric impact for clinical conditions (over a 30 fraction treatment). However, previous studies did not consider the case of treatment beams made up of many few-monitor-unit (MU) segments, where the segment delivery time (1-2 s) is of the order of the breathing period (3-5 s). In this study we assess if breathing compromises the radiotherapy treatment with IMRT segments of low number of MUs. We assess (i) how delivered dose varies, from patient to patient, with the number of MU per segment, (ii) if this delivered dose is identical to the average dose calculated without motion over the path of the motion, and (iii) the impact of the daily variation of the delivered dose as a function of MU per segment. The organ motion was studied along two orthogonal directions, representing the left-right and cranial-caudal directions of organ movement for a patient setup in the supine position. Breathing motion was modeled as sin(x), sin4(x), and sin6(x), based on functions used in the literature to represent organ motion. Measurements were performed with an ionization chamber and films. For a systematic study of motion effects, a MATLAB simulation was written to model organ movement and dose delivery. In the case of a single beam made up of one single segment, the dose delivered to point in a moving target over 30 fractions can vary up to 20% and 10% for segments of 10 MU and 20 MU, respectively. This dose error occurs because the tumor spends most of the time near the edges of the radiation beam. In the case of a single beam made of multiple segments with low MU, we observed 2.4%, 3.3%, and 4.3% differences, respectively, for sin(x), sin4(x), and sin6(x) motion, between delivered dose and motion-averaged dose for points in the penumbra region of the beam and over 30 fractions. In approximately 5-10% of the cases, differences between the motion-averaged dose and the delivered 30-fraction dose could reach 6%, 8% and 10-12%, respectively for sin(x), sin4(x), and sin6(x) motion. To analyze a clinical IMRT beam, two patient plans were randomly selected. For one of the patients, the beams showed a likelihood of up to 25.6% that the delivered dose would deviate from the motion-averaged dose by more than 1%. For the second patient, there was a likelihood of up to 62.8% of delivering a dose that differs by more than 1% from the motion-averaged dose and a likelihood of up to approximately 30% for a 2% dose error. For the entire five-beam IMRT plan, statistical averaging over the beams reduces the overall dose error between the delivered dose and the motion-averaged dose. For both patients there was a likelihood of up to 7.0% and 33.9% that the dose error was greater than 1%, respectively. For one of the patients, there was a 12.6% likelihood of a 2% dose error. Daily intrafraction variation of the delivered dose of more than 10% is non-negligible and can potentially lead to biological effects. We observed [for sin(x), sin4(x), and sin6(x)] that below 10-15 MU leads to large daily variations of the order of 15-35%. Therefore, for small MU segments, non-negligible biological effects can be incurred. We conclude that for most clinical cases the effects may be small because of the use of many beams, it is desirable to avoid low-MU segments when treating moving targets. In addition, dose averaging may not work well for hypo-fractionation, where fewer fractions are used. For hypo-fractionation, PDF modeling of the tumor motion in IMRT optimization may not be adequate.

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Year:  2007        PMID: 17441238      PMCID: PMC2034283          DOI: 10.1118/1.2436972

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


  13 in total

1.  A method for incorporating organ motion due to breathing into 3D dose calculations.

Authors:  A E Lujan; E W Larsen; J M Balter; R K Ten Haken
Journal:  Med Phys       Date:  1999-05       Impact factor: 4.071

2.  The probability of correct target dosage: dose-population histograms for deriving treatment margins in radiotherapy.

Authors:  M van Herk; P Remeijer; C Rasch; J V Lebesque
Journal:  Int J Radiat Oncol Biol Phys       Date:  2000-07-01       Impact factor: 7.038

3.  Effects of intra-fraction motion on IMRT dose delivery: statistical analysis and simulation.

Authors:  Thomas Bortfeld; Kimmo Jokivarsi; Michael Goitein; Jong Kung; Steve B Jiang
Journal:  Phys Med Biol       Date:  2002-07-07       Impact factor: 3.609

4.  An experimental investigation on intra-fractional organ motion effects in lung IMRT treatments.

Authors:  Steve B Jiang; Cynthia Pope; Khaled M Al Jarrah; Jong H Kung; Thomas Bortfeld; George T Y Chen
Journal:  Phys Med Biol       Date:  2003-06-21       Impact factor: 3.609

5.  The effects of intra-fraction organ motion on the delivery of intensity-modulated field with a multileaf collimator.

Authors:  Chen-Shou Chui; Ellen Yorke; Linda Hong
Journal:  Med Phys       Date:  2003-07       Impact factor: 4.071

6.  Influence of intra-fractional breathing movement in step-and-shoot IMRT.

Authors:  M Schaefer; M W Münter; C Thilmann; F Sterzing; P Haering; S E Combs; J Debus
Journal:  Phys Med Biol       Date:  2004-06-21       Impact factor: 3.609

7.  Effects of averaging over motion and the resulting systematic errors in radiation therapy.

Authors:  Philip M Evans; Catherine Coolens; Elena Nioutsikou
Journal:  Phys Med Biol       Date:  2005-12-15       Impact factor: 3.609

8.  The biologic relevance of daily dose variations in adaptive treatment planning.

Authors:  Thomas Bortfeld; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-07-01       Impact factor: 7.038

9.  Method of identifying dynamic multileaf collimator irradiation that is highly sensitive to a systematic MLC calibration error.

Authors:  P Zygmanski; J H Kung
Journal:  Med Phys       Date:  2001-11       Impact factor: 4.071

10.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy.

Authors:  Yvette Seppenwoolde; Hiroki Shirato; Kei Kitamura; Shinichi Shimizu; Marcel van Herk; Joos V Lebesque; Kazuo Miyasaka
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-07-15       Impact factor: 7.038

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  30 in total

1.  Dosimetric impact of motion in free-breathing and gated lung radiotherapy: a 4D Monte Carlo study of intrafraction and interfraction effects.

Authors:  Joao Seco; Greg C Sharp; Ziji Wu; David Gierga; Florian Buettner; Harald Paganetti
Journal:  Med Phys       Date:  2008-01       Impact factor: 4.071

Review 2.  The radiation techniques of tomotherapy & intensity-modulated radiation therapy applied to lung cancer.

Authors:  Zhengfei Zhu; Xiaolong Fu
Journal:  Transl Lung Cancer Res       Date:  2015-06

3.  4D radiobiological modelling of the interplay effect in conventionally and hypofractionated lung tumour IMRT.

Authors:  J Selvaraj; J Uzan; C Baker; A Nahum
Journal:  Br J Radiol       Date:  2014-09-24       Impact factor: 3.039

4.  Dosimetric comparison between volumetric modulated arc therapy planning techniques for prostate cancer in the presence of intrafractional organ deformation.

Authors:  Maria Varnava; Iori Sumida; Michio Oda; Keita Kurosu; Fumiaki Isohashi; Yuji Seo; Keisuke Otani; Kazuhiko Ogawa
Journal:  J Radiat Res       Date:  2021-03-10       Impact factor: 2.724

5.  Potential underestimation of the internal target volume (ITV) from free-breathing CBCT.

Authors:  Irina Vergalasova; Jacqueline Maurer; Fang-Fang Yin
Journal:  Med Phys       Date:  2011-08       Impact factor: 4.071

6.  Patient-specific quantification of respiratory motion-induced dose uncertainty for step-and-shoot IMRT of lung cancer.

Authors:  Heng Li; Peter Park; Wei Liu; Jason Matney; Zhongxing Liao; Peter Balter; Yupeng Li; Xiaodong Zhang; Xiaoqiang Li; X Ronald Zhu
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

7.  Tumor trailing strategy for intensity-modulated radiation therapy of moving targets.

Authors:  Alexei Trofimov; Christian Vrancic; Timothy C Y Chan; Gregory C Sharp; Thomas Bortfeld
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

8.  Quantifying the interplay effect in prostate IMRT delivery using a convolution-based method.

Authors:  Haisen S Li; Indrin J Chetty; Timothy D Solberg
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

9.  Evaluation of tumor motion effects on dose distribution for hypofractionated intensity-modulated radiotherapy of non-small-cell lung cancer.

Authors:  Hyejoo Kang; Ellen D Yorke; Jie Yang; Chen-Shou Chui; Kenneth E Rosenzweig; Howard I Amols
Journal:  J Appl Clin Med Phys       Date:  2010-06-08       Impact factor: 2.102

10.  Design and testing of a simulation framework for dosimetric motion studies integrating an anthropomorphic computational phantom into four-dimensional Monte Carlo.

Authors:  M Riboldi; G T Y Chen; G Baroni; H Paganetti; J Seco
Journal:  Technol Cancer Res Treat       Date:  2008-12
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