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タイトル: Dosimetric verification of four dose calculation algorithms for spine stereotactic body radiotherapy
著者: Hirashima, Hideaki
Nakamura, Mitsuhiro
Nakamura, Kiyonao
Matsuo, Yukinori
Mizowaki, Takashi
キーワード: dosimetric verification
dose calculation algorithm
spine SBRT
発行日: Jan-2024
出版者: Oxford University Press (OUP)
The Japanese Radiation Research Society
Japanese Society for Radiation Oncology
誌名: Journal of Radiation Research
巻: 65
号: 1
開始ページ: 109
終了ページ: 118
抄録: The applications of Type B [anisotropic analytical algorithm (AAA) and collapsed cone (CC)] and Type C [Acuros XB (AXB) and photon Monte Carlo (PMC)] dose calculation algorithms in spine stereotactic body radiotherapy (SBRT) were evaluated. Water- and bone-equivalent phantoms were combined to evaluate the percentage depth dose and dose profile. Subsequently, 48 consecutive patients with clinical spine SBRT plans were evaluated. All treatment plans were created using AXB in Eclipse. The prescription dose was 24 Gy in two fractions at a 10 MV FFF on TrueBeam. The doses were then recalculated with AAA, CC and PMC while maintaining the AXB-calculated monitor units and beam arrangement. The dose index values obtained using the four dose calculation algorithms were then compared. The AXB and PMC dose distributions agreed with the bone-equivalent phantom measurements (within ±2.0%); the AAA and CC values were higher than those in the bone-equivalent phantom region. For the spine SBRT plans, PMC, AAA and CC were overestimated compared with AXB in terms of the near minimum and maximum doses of the target and organ at risk, respectively; the mean dose difference was within 4.2%, which is equivalent with within 1 Gy. The phantom study showed that the results from AXB and PMC agreed with the measurements within ±2.0%. However, the mean dose difference ranged from 0.5 to 1 Gy in the spine SBRT planning study when the dose calculation algorithms changed. Users should incorporate a clinical introduction that includes an awareness of these differences.
著作権等: © The Author(s) 2023. Published by Oxford University Press on behalf of The Japanese Radiation Research Society and Japanese Society for Radiation Oncology.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License, whichpermits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
URI: http://hdl.handle.net/2433/294647
DOI(出版社版): 10.1093/jrr/rrad086
PubMed ID: 37996097
出現コレクション:学術雑誌掲載論文等

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