Literature DB >> 21158297

Use of a realistic breathing lung phantom to evaluate dose delivery errors.

Laurence E Court1, Joao Seco, Xing-Qi Lu, Kazuyu Ebe, Charles Mayo, Dan Ionascu, Brian Winey, Nikos Giakoumakis, Michalis Aristophanous, Ross Berbeco, Joerg Rottman, Madeleine Bogdanov, Deborah Schofield, Tania Lingos.   

Abstract

PURPOSE: To compare the effect of respiration-induced motion on delivered dose (the interplay effect) for different treatment techniques under realistic clinical conditions.
METHODS: A flexible resin tumor model was created using rapid prototyping techniques based on a computed tomography (CT) image of an actual tumor. Twenty micro-MOSFETs were inserted into the tumor model and the tumor model was inserted into an anthropomorphic breathing phantom. Phantom motion was programed using the motion trajectory of an actual patient. A four-dimensional CT image was obtained and several treatment plans were created using different treatment techniques and planning systems: Conformal (Eclipse), step-and-shoot intensity-modulated radiation therapy (IMRT) (Pinnacle), step-and-shoot IMRT (XiO), dynamic IMRT (Eclipse), complex dynamic IMRT (Eclipse), hybrid IMRT [60% conformal, 40% dynamic IMRT (Eclipse)], volume-modulated are therapy (VMAT) [single-arc (Eclipse)], VMAT [double-arc (Eclipse)], and complex VMAT (Eclipse). The complex plans were created by artificially pushing the optimizer to give complex multileaf collimator sequences. Each IMRT field was irradiated five times and each VMAT field was irradiated ten times, with each irradiation starting at a random point in the respiratory cycle. The effect of fractionation was calculated by randomly summing the measured doses. The maximum deviation for each measurement point per fraction and the probability that 95% of the model tumor had dose deviations less than 2% and 5% were calculated as a function of the number of fractions. Tumor control probabilities for each treatment plan were calculated and compared.
RESULTS: After five fractions, measured dose deviations were less than 2% for more than 95% of measurement points within the tumor model for all plans, except the complex dynamic IMRT, step-and-shoot IMRT (XiO), complex VMAT, and single-arc VMAT plans. Reducing the dose rate of the complex IMRT plans from 600 to 200 MU/min reduced the dose deviations to less than 2%. Dose deviations were less than 5% after five fractions for all plans, except the complex single-arc VMAT plan.
CONCLUSIONS: Rapid prototyping techniques can be used to create realistic tumor models. For most treatment techniques, the dose deviations averaged out after several fractions. Treatments with unusually complicated multileaf collimator sequences had larger dose deviations. For IMRT treatments, dose deviations can be reduced by reducing the dose rate. For VMAT treatments, using two arcs instead of one is effective for reducing dose deviations.

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Year:  2010        PMID: 21158297     DOI: 10.1118/1.3496356

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


  27 in total

1.  Interplay effect modeling in stereotactic body radiotherapy treatment of liver cancer using volumetric modulated arc therapy.

Authors:  Deepak Thaper; Arun S Oinam; Rose Kamal; Gaganpreet Singh; Bhumika Handa; Vivek Kumar; Hanuman P Yadav
Journal:  Phys Eng Sci Med       Date:  2021-02-04

2.  3D fluoroscopic image estimation using patient-specific 4DCBCT-based motion models.

Authors:  S Dhou; M Hurwitz; P Mishra; W Cai; J Rottmann; R Li; C Williams; M Wagar; R Berbeco; D Ionascu; J H Lewis
Journal:  Phys Med Biol       Date:  2015-04-23       Impact factor: 3.609

Review 3.  Robustness Analysis for External Beam Radiation Therapy Treatment Plans: Describing Uncertainty Scenarios and Reporting Their Dosimetric Consequences.

Authors:  Adam D Yock; Radhe Mohan; Stella Flampouri; Walter Bosch; Paige A Taylor; David Gladstone; Siyong Kim; Jason Sohn; Robert Wallace; Ying Xiao; Jeff Buchsbaum
Journal:  Pract Radiat Oncol       Date:  2018-12-15

4.  An externally and internally deformable, programmable lung motion phantom.

Authors:  Yam Cheung; Amit Sawant
Journal:  Med Phys       Date:  2015-05       Impact factor: 4.071

5.  Under-reported dosimetry errors due to interplay effects during VMAT dose delivery in extreme hypofractionated stereotactic radiotherapy.

Authors:  Tobias Gauer; Thilo Sothmann; Oliver Blanck; Cordula Petersen; René Werner
Journal:  Strahlenther Onkol       Date:  2018-02-15       Impact factor: 3.621

6.  Investigation of 4D dose in volumetric modulated arc therapy-based stereotactic body radiation therapy: does fractional dose or number of arcs matter?

Authors:  Takashi Shintani; Mitsuhiro Nakamura; Yukinori Matsuo; Yuki Miyabe; Nobutaka Mukumoto; Takamasa Mitsuyoshi; Yusuke Iizuka; Takashi Mizowaki
Journal:  J Radiat Res       Date:  2020-03-23       Impact factor: 2.724

7.  Real-time soft tissue motion estimation for lung tumors during radiotherapy delivery.

Authors:  Joerg Rottmann; Paul Keall; Ross Berbeco
Journal:  Med Phys       Date:  2013-09       Impact factor: 4.071

8.  High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images.

Authors:  Luke A Hunter; Shane Krafft; Francesco Stingo; Haesun Choi; Mary K Martel; Stephen F Kry; Laurence E Court
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

9.  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

10.  Markerless EPID image guided dynamic multi-leaf collimator tracking for lung tumors.

Authors:  J Rottmann; P Keall; R Berbeco
Journal:  Phys Med Biol       Date:  2013-05-28       Impact factor: 3.609

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