Literature DB >> 18523345

Dosimetric impact of intrafraction motion for compensator-based proton therapy of lung cancer.

Li Zhao1, George A Sandison, Jonathan B Farr, Wen Chien Hsi, X Allen Li.   

Abstract

Compensator-based proton therapy of lung cancer using an un-gated treatment while allowing the patient to breathe freely requires a compensator design that ensures tumor coverage throughout respiration. Our investigation had two purposes: one is to investigate the dosimetric impact when a composite compensator correction is applied, or is not, and the other one is to evaluate the significance of using different respiratory phases as the reference computed tomography (CT) for treatment planning dose calculations. A 4D-CT-based phantom study and a real patient treatment planning study were performed. A 3D MIP dataset generated over all phases of the acquired 4D-CT scans was adopted to design the field-specific composite aperture and compensator. In the phantom study, the MIP-based compensator design plan named plan D was compared to the other three plans, in which average intensity projection (AIP) images in conjunction with the composite target volume contour copied from the MIP images were used. Relative electron densities within the target envelope were assigned either to original values from the AIP image dataset (plan A) or to predetermined values, 0.8 (plan B) and 0.9 (plan C). In the patient study, the dosimetric impact of a compensator design based on the MIP images (plan ITV(MIP)) was compared to designs based on end-of-inhale (EOI) (plan ITV(EOI)) and middle-of-exhale (MOE) CT images (plan ITV(MOE)). The dose distributions were recalculated for each phase. Throughout the ten phases, it shows that D(GTV)(min) changed slightly from 86% to 89% (SD = 0.9%) of prescribed dose (PD) in the MIP plan, while varying greatly from 10% to 79% (SD = 26.7%) in plan A, 17% to 73% (SD = 22.5%) in plan B and 53% to 73% (SD = 6.8%) in plan C. The same trend was observed for D(GTV)(mean) and V95 with less amplitude. In the MIP-based plan ITV(MIP), D(GTV)(mean) was almost identically equal to 95% in each phase (SD = 0.5%). The patient study verified that the MIP approach increased the minimum value of D99 of the clinical target volume (CTV) by 58.8% compared to plan ITV(EOI) and 12.9% compared to plan ITV(MOE). Minimum values of D99 were 37.60%, 83.50% and 96.40% for plan ITV(EOI), plan ITV(MOE) and plan ITV(MIP), respectively. Standard deviations of D99 were significantly decreased (SD = 0.5%) in the MIP plan as compared to plan ITV(EOI) (SD = 18.9%) or plan ITV(MOE) (SD = 4.0%). These studies demonstrate that the use of MIP images to design the patient-specific composite compensators provide superior and consistent tumor coverage throughout the entire respiratory cycle whilst maintaining a low average normal lung dose. The additional benefit of the MIP-based design approach is that the dose calculation can be implemented on any single phase as long as it uses the aperture and compensator optimized from the MIP images. This also reduces the requirement for contouring on all breathing phases down to just one.

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Year:  2008        PMID: 18523345     DOI: 10.1088/0031-9155/53/12/019

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


  8 in total

1.  Proton stereotactic body radiation therapy for clinically challenging cases of centrally and superiorly located stage I non-small-cell lung cancer.

Authors:  Steven P Register; Xiaodong Zhang; Radhe Mohan; Joe Y Chang
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-07-07       Impact factor: 7.038

2.  Effects of respiratory motion on passively scattered proton therapy versus intensity modulated photon therapy for stage III lung cancer: are proton plans more sensitive to breathing motion?

Authors:  Jason Matney; Peter C Park; Jaques Bluett; Yi Pei Chen; Wei Liu; Laurence E Court; Zhongxing Liao; Heng Li; Radhe Mohan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-11-01       Impact factor: 7.038

3.  Toxicity and patterns of failure of adaptive/ablative proton therapy for early-stage, medically inoperable non-small cell lung cancer.

Authors:  Joe Y Chang; Ritsuko Komaki; Hong Y Wen; Beth De Gracia; Jaques B Bluett; Mary F McAleer; Stephen G Swisher; Michael Gillin; Radhe Mohan; James D Cox
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-01-20       Impact factor: 7.038

4.  A dual-supervised deformation estimation model (DDEM) for constructing ultra-quality 4D-MRI based on a commercial low-quality 4D-MRI for liver cancer radiation therapy.

Authors:  Haonan Xiao; Ruiyan Ni; Shaohua Zhi; Wen Li; Chenyang Liu; Ge Ren; Xinzhi Teng; Weiwei Liu; Weihu Wang; Yibao Zhang; Hao Wu; Ho-Fun Victor Lee; Lai-Yin Andy Cheung; Hing-Chiu Charles Chang; Tian Li; Jing Cai
Journal:  Med Phys       Date:  2022-02-25       Impact factor: 4.506

Review 5.  Advanced radiation techniques for locally advanced non-small cell lung cancer: intensity-modulated radiation therapy and proton therapy.

Authors:  Nikhil Yegya-Raman; Wei Zou; Ke Nie; Jyoti Malhotra; Salma K Jabbour
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

Review 6.  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

7.  Dosimetric comparison between three- and four-dimensional computerised tomography radiotherapy for breast cancer.

Authors:  Yanli Yan; Zhou Lu; Zi Liu; Wei Luo; Shuai Shao; Li Tan; Xiaowei Ma; Jiaxin Liu; Emmanuel Kwateng Drokow; Juan Ren
Journal:  Oncol Lett       Date:  2019-06-12       Impact factor: 2.967

Review 8.  Proton beam therapy in non-small cell lung cancer: state of the art.

Authors:  Hideyuki Harada; Shigeyuki Murayama
Journal:  Lung Cancer (Auckl)       Date:  2017-08-23
  8 in total

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