Dynamic simulation of motion effects in IMAT lung SBRT

Radiation Oncology

Boon-Keng Kevin Teo⁵  Ramesh Rengan³  Ning J Yue⁴  Charles B Simone⁵  Salma K Jabbour⁴  Penny Fang⁵  Reshma Munbodh⁵  Maura Kirk⁵  Michael N Corradetti¹  Jiajian Shen²  Lingshu Yin⁵  Wei Zou⁴ 

[1] Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women¿s Hospital, Boston 02115, MA, USA;Department of Radiation Oncology, Mayo Clinic, Phoenix 85054, Arizona, USA;Department of Radiation Oncology, University of Washington, Seattle 98195, WA, USA;Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick 08903, NJ, USA;Department of Radiation Oncology, University of Pennsylvania, Philadelphia 19104, PA, USA

关键词: IMAT;    Interplay;    Lung motion;    SBRT;   

Others  :  1228549
DOI  :  10.1186/s13014-014-0225-3

 received in 2014-07-02, accepted in 2014-09-30,  发布年份 2014

【 摘 要 】

Background

Intensity modulated arc therapy (IMAT) has been widely adopted for Stereotactic Body Radiotherapy (SBRT) for lung cancer. While treatment dose is optimized and calculated on a static Computed Tomography (CT) image, the effect of the interplay between the target and linac multi-leaf collimator (MLC) motion is not well described and may result in deviations between delivered and planned dose. In this study, we investigated the dosimetric consequences of the inter-play effect on target and organs at risk (OAR) by simulating dynamic dose delivery using dynamic CT datasets.

Methods

Fifteen stage I non-small cell lung cancer (NSCLC) patients with greater than 10 mm tumor motion treated with SBRT in 4 fractions to a dose of 50 Gy were retrospectively analyzed for this study. Each IMAT plan was initially optimized using two arcs. Simulated dynamic delivery was performed by associating the MLC leaf position, gantry angle and delivered beam monitor units (MUs) for each control point with different respiratory phases of the 4D-CT using machine delivery log files containing time stamps of the control points. Dose maps associated with each phase of the 4D-CT dose were calculated in the treatment planning system and accumulated using deformable image registration onto the exhale phase of the 4D-CT. The original IMAT plans were recalculated on the exhale phase of the CT for comparison with the dynamic simulation.

Results

The dose coverage of the PTV showed negligible variation between the static and dynamic simulation. There was less than 1.5% difference in PTV V95% and V90%. The average inter-fraction and cumulative dosimetric effects among all the patients were less than 0.5% for PTV V95% and V90% coverage and 0.8 Gy for the OARs. However, in patients where target is close to the organs, large variations were observed on great vessels and bronchus for as much as 4.9 Gy and 7.8 Gy.

Conclusions

Limited variation in target dose coverage and OAR constraints were seen for each SBRT fraction as well as over all four fractions. Large dose variations were observed on critical organs in patients where these organs were closer to the target.

【 授权许可】

   
2014 Zou et al.; licensee BioMed Central Ltd.

【 图 表 】

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