Literature DB >> 18491515

Dosimetric investigation of lung tumor motion compensation with a robotic respiratory tracking system: an experimental study.

Elena Nioutsikou1, Yvette Seppenwoolde, J Richard N Symonds-Tayler, Ben Heijmen, Phil Evans, Steve Webb.   

Abstract

The benefits of using Synchrony Respiratory Tracking System (RTS) in conjunction with the CyberKnife robotic treatment device to treat a "breathing tumor" in an anthropomorphic, tissue-equivalent, thoracic phantom have been investigated. The following have been studied: (a) Synchrony's ability to allow the CyberKnife to deliver accurately a planned dose distribution to the free-breathing phantom and (b) the dosimetric implications when irregularities in the breathing cycle and phase differences between internal (tumor) and external (chest) motion exist in the course of one treatment fraction. The breathing phantom PULMONE (phantom used in lung motion experiments) has been used, which can imitate regular or irregular breathing patterns. The breathing traces from two patients with lung cancer have been selected as input. Both traces were irregular in amplitude, frequency, and base line. Patient B demonstrated a phase difference between internal and external motion, whereas patient A did not. The experiment was divided into three stages: In stage I-static, the treatment was delivered to the static phantom. In stage II-motion, the phantom was set to breathe, following the breathing trace of each of the two patients. Synchrony was switched off, so no motion compensation was made. In stage III-compensation, the phantom was set to breathe and Synchrony was switched on. A linear correspondence model was chosen to allow for phase differences between internal and external motion. Gafchromic EBT film was inserted in the phantom tumor to measure dose. To eradicate small errors in film alignment during readout, a gamma comparison with pass criteria of 3%/3 mm was selected. For a more quantitative approach, the percentage of pixels in each gamma map that exceeded the value of 1 (P1) was also used. For both breathing signals, the dose blurring caused by the respiratory motion of the tumor in stage II was degraded considerably compared with stage I (P1 = 15% for patient A and 8% for patient B). The motion compensation via the linear correspondence model was sufficient to provide a dose distribution that satisfied the set gamma criteria (P1=3% for patient A and 2% for patient B). Synchrony RTS has been found satisfactory in recovering the initial detail in dose distribution, for realistic breathing signals, even in the case where a phase delay between internal tumor motion and external chest displacement exists. For the signals applied here, a linear correspondence model provided an acceptable degree of motion compensation.

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Year:  2008        PMID: 18491515     DOI: 10.1118/1.2842074

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


  16 in total

1.  Correlation and prediction uncertainties in the cyberknife synchrony respiratory tracking system.

Authors:  Eric W Pepin; Huanmei Wu; Yuenian Zhang; Bryce Lord
Journal:  Med Phys       Date:  2011-07       Impact factor: 4.071

2.  Factors affecting the accuracy of respiratory tracking of the image-guided robotic radiosurgery system.

Authors:  Mitsuhiro Inoue; Kohei Okawa; Junichi Taguchi; Yoshifumi Hirota; Yohei Yanagiya; Chie Kikuchi; Michio Iwabuchi; Taro Murai; Hiromitsu Iwata; Hiroya Shiomi; Izumi Koike; Koshi Tatewaki; Seiji Ohta
Journal:  Jpn J Radiol       Date:  2019-07-31       Impact factor: 2.374

3.  Dosimetric benefit of DMLC tracking for conventional and sub-volume boosted prostate intensity-modulated arc radiotherapy.

Authors:  Tobias Pommer; Marianne Falk; Per R Poulsen; Paul J Keall; Ricky T O'Brien; Peter Meidahl Petersen; Per Munck af Rosenschöld
Journal:  Phys Med Biol       Date:  2013-03-14       Impact factor: 3.609

Review 4.  Image-guided radiotherapy and motion management in lung cancer.

Authors:  S S Korreman
Journal:  Br J Radiol       Date:  2015-05-08       Impact factor: 3.039

5.  A dosimetric comparison of stereotactic body radiation therapy techniques for lung cancer: robotic versus conventional linac-based systems.

Authors:  Chuxiong Ding; Cheng-Hui Chang; Joshua Haslam; Robert Timmerman; Timothy Solberg
Journal:  J Appl Clin Med Phys       Date:  2010-06-29       Impact factor: 2.102

6.  Accuracy and sensitivity of four-dimensional dose calculation to systematic motion variability in stereotatic body radiotherapy (SBRT) for lung cancer.

Authors:  Mark K H Chan; Dora L W Kwong; Sherry C Y Ng; Anthony S M Tong; Eric K W Tam
Journal:  J Appl Clin Med Phys       Date:  2012-11-08       Impact factor: 2.102

7.  Development of system using beam's eye view images to measure respiratory motion tracking errors in image-guided robotic radiosurgery system.

Authors:  Mitsuhiro Inoue; Hiroya Shiomi; Hiromitsu Iwata; Junichi Taguchi; Kohei Okawa; Chie Kikuchi; Kosaku Inada; Michio Iwabuchi; Taro Murai; Izumi Koike; Koshi Tatewaki; Seiji Ohta; Tomio Inoue
Journal:  J Appl Clin Med Phys       Date:  2015-01-08       Impact factor: 2.102

8.  Dosimetric validation of a magnetic resonance image gated radiotherapy system using a motion phantom and radiochromic film.

Authors:  James M Lamb; John S Ginn; Dylan P O'Connell; Nzhde Agazaryan; Minsong Cao; David H Thomas; Yingli Yang; Mircea Lazea; Percy Lee; Daniel A Low
Journal:  J Appl Clin Med Phys       Date:  2017-04-24       Impact factor: 2.102

9.  Target margin design for real-time lung tumor tracking stereotactic body radiation therapy using CyberKnife Xsight Lung Tracking System.

Authors:  Zhi-Yong Yang; Yu Chang; Hong-Yuan Liu; Gang Liu; Qin Li
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

10.  Evaluation of tracking accuracy of the CyberKnife system using a webcam and printed calibrated grid.

Authors:  Iori Sumida; Hiroya Shiomi; Naokazu Higashinaka; Yoshikazu Murashima; Youichi Miyamoto; Hideya Yamazaki; Nobuhisa Mabuchi; Eimei Tsuda; Kazuhiko Ogawa
Journal:  J Appl Clin Med Phys       Date:  2016-03-08       Impact factor: 2.102

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