Literature DB >> 17019040

Investigation of patient, tumour and treatment variables affecting residual motion for respiratory-gated radiotherapy.

R George1, V Ramakrishnan, J V Siebers, T D Chung, P J Keall.   

Abstract

Respiratory gating can reduce the apparent respiratory motion during imaging and treatment; however, residual motion within the gating window remains. Respiratory training can improve respiratory reproducibility and, therefore, the efficacy of respiratory-gated radiotherapy. This study was conducted to determine whether residual motion during respiratory gating is affected by patient, tumour or treatment characteristics. The specific aims of this study were to: (1) identify significant characteristics affecting residual motion, (2) investigate time trends of residual motion over a period of days (inter-session) and (3) investigate time trends of residual motion within the same day (intra-session). Twenty-four lung cancer patients were enrolled in an Institutional Review Board (IRB)-approved protocol. For approximately five sessions, 331 four-minute, respiratory motion traces were acquired with free breathing, audio instructions and audio-visual biofeedback for each patient. The residual motion was quantified by the standard deviation of the displacement within the gating window. The generalized linear model was used to obtain coefficients for each variable within the model and to evaluate the clinical and statistical significance. The statistical significance was determined by a p-value<0.05, while effect sizes of 0.1 cm (one standard deviation) were considered clinically significant. This data analysis was applied to patient, tumour and treatment variables. Inter- and intra-session variations were also investigated. The only variable that was significant for both inhale- and exhale-based gating was disease type. In addition, visual-training displacement, breathing type and Karnofsky performance status (KPS) values were significant for inhale-based gating, and dose-per-fraction was significant for exhale-based gating. Temporal respiratory variations within and between sessions were observed for individual patients. However inter- and intra-session analyses did not show significant time trends on average for any of the variables considered. The lack of significant time trends within and between sessions indicates that on average (1) there is no significant learning period for breathing training, (2) the patients did not experience training-related fatigue and (3) the margin component to account for residual motion during gated radiotherapy appears to remain constant throughout the treatment.

Entities:  

Mesh:

Year:  2006        PMID: 17019040     DOI: 10.1088/0031-9155/51/20/015

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  10 in total

1.  The impact of audio-visual biofeedback on 4D PET images: results of a phantom study.

Authors:  Jaewon Yang; Tokihiro Yamamoto; Byungchul Cho; Youngho Seo; Paul J Keall
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  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

3.  Robust fluoroscopic tracking of fiducial markers: exploiting the spatial constraints.

Authors:  Rui Li; Gregory Sharp
Journal:  Phys Med Biol       Date:  2013-02-26       Impact factor: 3.609

4.  Effect of novel amplitude/phase binning algorithm on commercial four-dimensional computed tomography quality.

Authors:  Jeffrey R Olsen; Wei Lu; James P Hubenschmidt; Michelle M Nystrom; Paul Klahr; Jeffrey D Bradley; Daniel A Low; Parag J Parikh
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-11-26       Impact factor: 7.038

5.  On the accuracy of a moving average algorithm for target tracking during radiation therapy treatment delivery.

Authors:  Rohini George; Yelin Suh; Martin Murphy; Jeffrey Williamson; Elizabeth Weiss; Paul Keall
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

6.  Fluoroscopy as a surrogate for lung tumour motion.

Authors:  H A McNair; A Kavanagh; C Powell; J R N Symonds-Tayler; M Brada; P M Evans
Journal:  Br J Radiol       Date:  2011-08-09       Impact factor: 3.039

7.  Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback.

Authors:  Guoqiang Cui; Siddharth Gopalan; Tokihiro Yamamoto; Jonathan Berger; Peter G Maxim; Paul J Keall
Journal:  J Appl Clin Med Phys       Date:  2010-07-12       Impact factor: 2.102

8.  Audiovisual biofeedback breathing guidance for lung cancer patients receiving radiotherapy: a multi-institutional phase II randomised clinical trial.

Authors:  Sean Pollock; Ricky O'Brien; Kuldeep Makhija; Fiona Hegi-Johnson; Jane Ludbrook; Angela Rezo; Regina Tse; Thomas Eade; Roland Yeghiaian-Alvandi; Val Gebski; Paul J Keall
Journal:  BMC Cancer       Date:  2015-07-18       Impact factor: 4.430

9.  Four-dimensional computed tomography based respiratory-gated radiotherapy with respiratory guidance system: analysis of respiratory signals and dosimetric comparison.

Authors:  Jung Ae Lee; Chul Yong Kim; Dae Sik Yang; Won Sup Yoon; Young Je Park; Suk Lee; Young Bum Kim
Journal:  Biomed Res Int       Date:  2014-09-07       Impact factor: 3.411

10.  Comparison of visual biofeedback system with a guiding waveform and abdomen-chest motion self-control system for respiratory motion management.

Authors:  Yujiro Nakajima; Noriyuki Kadoya; Takayuki Kanai; Kengo Ito; Kiyokazu Sato; Suguru Dobashi; Takaya Yamamoto; Yojiro Ishikawa; Haruo Matsushita; Ken Takeda; Keiichi Jingu
Journal:  J Radiat Res       Date:  2016-02-27       Impact factor: 2.724

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.