論文

査読有り 筆頭著者 国際誌
2021年3月

Appropriate margin for planning target volume for breast radiotherapy during deep inspiration breath-hold by variance component analysis

Radiation Oncology
  • Yuka Ono
  • ,
  • Michio Yoshimura
  • ,
  • Tomohiro Ono
  • ,
  • Takahiro Fujimoto
  • ,
  • Yuki Miyabe
  • ,
  • Yukinori Matsuo
  • ,
  • Takashi Mizowaki

16
1
開始ページ
49
終了ページ
49
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1186/s13014-021-01777-7

BACKGROUND: This study aimed to quantify errors by using a cine electronic portal imaging device (cine EPID) during deep inspiration breath-hold (DIBH) for left-sided breast cancer and to estimate the planning target volume (PTV) by variance component analysis. METHODS: This study included 25 consecutive left-sided breast cancer patients treated with whole-breast irradiation (WBI) using DIBH. Breath-holding was performed while monitoring abdominal anterior-posterior (AP) motion using the Real-time Position Management (RPM) system. Cine EPID was used to evaluate the chest wall displacements in patients. Cine EPID images of the patients (309,609 frames) were analyzed to detect the edges of the chest wall using a Canny filter. The errors that occurred during DIBH included differences between the chest wall position detected by digitally reconstructed radiographs and that of all cine EPID images. The inter-patient, inter-fraction, and intra-fractional standard deviations (SDs) in the DIBH were calculated, and the PTV margin was estimated by variance component analysis. RESULTS: The median patient age was 55 (35-79) years, and the mean irradiation time was 20.4 ± 1.7 s. The abdominal AP motion was 1.36 ± 0.94 (0.14-5.28) mm. The overall mean of the errors was 0.30 mm (95% confidence interval: - 0.05-0.65). The inter-patient, inter-fraction, and intra-fractional SDs in the DIBH were 0.82 mm, 1.19 mm, and 1.63 mm, respectively, and the PTV margin was calculated as 3.59 mm. CONCLUSIONS: Errors during DIBH for breast radiotherapy were monitored using EPID images and appropriate PTV margins were estimated by variance component analysis.

リンク情報
DOI
https://doi.org/10.1186/s13014-021-01777-7
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/33676532
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937254
ID情報
  • DOI : 10.1186/s13014-021-01777-7
  • PubMed ID : 33676532
  • PubMed Central 記事ID : PMC7937254

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