4.7 Article

Multiple-CT optimization: An adaptive optimization method to account for anatomical changes in intensity-modulated proton therapy for head and neck cancers

Journal

RADIOTHERAPY AND ONCOLOGY
Volume 142, Issue -, Pages 124-132

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.radonc.2019.09.010

Keywords

Multiple CT optimization; Adaptive planning; Head and neck cancer; Intensity-modulated proton therapy

Funding

  1. National Institutes of Health through Cancer Center Support Grant [P30CA016672]

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Purpose: We aimed to determine whether multiple-CT (MCT) optimization of intensity-modulated proton therapy (IMPT) could improve plan robustness to anatomical changes and therefore reduce the additional need for adaptive planning. Methods and materials: Ten patients with head and neck cancer who underwent IMPT were included in this retrospective study. Each patient had primary planning CT (PCT), a first adaptive planning CT (ACT1), and a second adaptive planning CT (ACT2). Selective robust IMPT plans were generated using each CT data set (PCT, ACT1, and ACT2). Moreover, a MCT optimized plan was generated using the PCT and ACT1 data sets together. Dose distributions optimized using each of the four plans (PCT, ACT1, ACT2, and MCT plans) were re-calculated on ACT2 data. The doses to the target and to organs at risk were compared between optimization strategies. Results: MCT plans for all patients met all target dose and organs-at-risk criteria for all three CT data sets. Target dose and organs-at-risk dose for PCT and ACT1 plans re-calculated on ACT2 data set were compromised, indicating the need for adaptive planning on ACT2 if PCT or ACT1 plans were used. The D-98% of CTV1 and CTV3 of MCT plan re-calculated on ACT2 were both above the coverage criteria. The CTV2 coverage of the MCT plan re-calculated on ACT2 was worse than ACT2 plan. The MCT plan re-calculated on ACT2 data set had lower chiasm, esophagus, and larynx doses than did PCT, ACT1, or ACT2 plans recalculated on ACT2 data set. Conclusions: MCT optimization can improve plan robustness toward anatomical change and may reduce the number of plan adaptation for head and neck cancers. (C) 2019 Elsevier B.V. All rights reserved.

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