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Dosimetric Impact of Respiratory Motion During Breast Intensity-modulated Radiation Therapy Using Four-dimensional Dose Calculations

Authors
Choi, Young EunSung, KihoonDong, Kap SangKim, Hyun JuLim, Young-khi
Issue Date
Jan-2021
Publisher
INT INST ANTICANCER RESEARCH
Keywords
4D dose calculation; Breast cancer; Deformable image registration; IMRT; Respiratory motion
Citation
Anticancer Research, v.41, no.1, pp.417 - 427
Journal Title
Anticancer Research
Volume
41
Number
1
Start Page
417
End Page
427
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/79951
DOI
10.21873/anticanres.14791
ISSN
0250-7005
Abstract
Background/Aim: The use of intensity-modulated radiation therapy (IMRT) in the treatment of breast cancer is increasing worldwide. Despite clear benefits concerning normal tissue sparing and dose homogeneity, the effects of breathing motion and setup error during breast IMRT should be considered. This study aimed to assess the dosimetric impact of respiratory motion on breast IMRT using fourdimensional (4D) dose calculations. Patients and Methods: Multiple computed tomography datasets acquired in three representative respiratory amplitudes, were retrospectively replanned. Based on the reference dose distribution (RDD), motion-adjusted dose distributions (MDD) were recalculated. All 4D dose distributions were calculated by the voxel-based accumulation of RDD and MDD using five temporal probabilities. The dosimetric parameters of the 4D plans were compared to those of RDD. Results: The dosimetric parameters of the planning target volume (PTV) were not significantly different between the RDD and 4D plans. Of the parameters of tumor bed (TB) simultaneous-integrated boost (SIB), the mean dose and V95% for the 4D plans were significantly reduced compared to those of RDD, and the percentage difference in the TB V95% ranged from -1.1% to -5.7% (p<0.05). Conclusion: The breast IMRT plan was robust against respiratory motion during tidal breathing. However, special considerations should be made when designing the TB SIB. © 2021 International Institute of Anticancer Research. All rights reserved.
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