Literature DB >> 20674466

Quantifying variability in radiation dose due to respiratory-induced tumor motion.

S E Geneser1, J D Hinkle, R M Kirby, B Wang, B Salter, S Joshi.   

Abstract

State of the art radiation treatment methods such as hypo-fractionated stereotactic body radiation therapy (SBRT) can successfully destroy tumor cells and avoid damaging healthy tissue by delivering high-level radiation dose that precisely conforms to the tumor shape. Though these methods work well for stationary tumors, SBRT dose delivery is particularly susceptible to organ motion, and few techniques capable of resolving and compensating for respiratory-induced organ motion have reached clinical practice. The current treatment pipeline cannot accurately predict nor account for respiratory-induced motion in the abdomen that may result in significant displacement of target lesions during the breathing cycle. Sensitivity of dose deposition to respiratory-induced organ motion represents a significant challenge and may account for observed discrepancies between predictive treatment plan indicators and clinical patient outcomes. Improved treatment-planning and delivery of SBRT requires an accurate prediction of dose deposition uncertainties resulting from respiratory motion. To accomplish this goal, we developed a framework that models both organ displacement in response to respiration and the underlying random variations in patient-specific breathing patterns. Our organ deformation model is a four-dimensional maximum a posteriori (MAP) estimation of tissue deformation as a function of chest wall amplitudes computed from clinically obtained respiratory-correlated computed tomography (RCCT) images. We characterize patient-specific respiration as the probability density function (PDF) of chest wall amplitudes and model patient breathing patterns as a random process. We then combine the patient-specific organ motion and stochastic breathing models to calculate the resulting variability in radiation dose accumulation. This process allows us to predict uncertainties in dose delivery in the presence of organ motion and identify tissues at risk of receiving insufficient or harmful levels of radiation.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20674466     DOI: 10.1016/j.media.2010.07.003

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  6 in total

1.  Generalised polynomial chaos-based uncertainty quantification for planning MRgLITT procedures.

Authors:  Samuel J Fahrenholtz; R Jason Stafford; Florian Maier; John D Hazle; David Fuentes
Journal:  Int J Hyperthermia       Date:  2013-05-21       Impact factor: 3.914

2.  Real-time liver tracking algorithm based on LSTM and SVR networks for use in surface-guided radiation therapy.

Authors:  Guangyu Wang; Zhibin Li; Guangjun Li; Guyu Dai; Qing Xiao; Long Bai; Yisong He; Yaxin Liu; Sen Bai
Journal:  Radiat Oncol       Date:  2021-01-14       Impact factor: 3.481

3.  Correlation of Optical Surface Respiratory Motion Signal and Internal Lung and Liver Tumor Motion: A Retrospective Single-Center Observational Study.

Authors:  Guangyu Wang; Xinyu Song; Guangjun Li; Lian Duan; Zhibin Li; Guyu Dai; Long Bai; Qing Xiao; Xiangbin Zhang; Ying Song; Sen Bai
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

4.  The effect of local non-thermal plasma therapy on the cancer-immunity cycle in a melanoma mouse model.

Authors:  Abraham Lin; Joey De Backer; Delphine Quatannens; Bart Cuypers; Hanne Verswyvel; Edgar Cardenas De La Hoz; Bart Ribbens; Vasiliki Siozopoulou; Jonas Van Audenaerde; Elly Marcq; Filip Lardon; Kris Laukens; Steve Vanlanduit; Evelien Smits; Annemie Bogaerts
Journal:  Bioeng Transl Med       Date:  2022-04-21

5.  A hierarchical model of abdominal configuration changes extracted from golden angle radial magnetic resonance imaging.

Authors:  Yuhang Zhang; Rojano Kashani; Yue Cao; Theodore S Lawrence; Adam Johansson; James M Balter
Journal:  Phys Med Biol       Date:  2021-02-09       Impact factor: 3.609

6.  Using needle orientation sensing as surrogate signal for respiratory motion estimation in percutaneous interventions.

Authors:  Momen Abayazid; Takahisa Kato; Stuart G Silverman; Nobuhiko Hata
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-08-01       Impact factor: 2.924

  6 in total

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