論文

査読有り
2020年12月16日

Formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy.

Journal of applied clinical medical physics
  • Hisashi Nakano

22
1
開始ページ
165
終了ページ
173
記述言語
掲載種別
研究論文(学術雑誌)
DOI
10.1002/acm2.13126
出版者・発行元
Wiley

<h4>Objectives</h4>To evaluate the effect of interruption in radiotherapy due to machine failure in patients and medical institutions using machine failure risk analysis (MFRA).<h4>Material and methods</h4>The risk of machine failure during treatment is assigned to three scores (biological effect, B; occurrence, O; and cost of labor and repair parts, C) for each type of machine failure. The biological patient risk (BPR) and the economic institution risk (EIR) are calculated as the product of B and O ( B×O ) and C and O ( C×O ), respectively. The MFRA is performed in two linear accelerators (linacs).<h4>Result</h4>The multileaf collimator (MLC) fault has the highest BPR and second highest EIR. In particular, TrueBeam has a higher BPR and EIR for MLC failures. The total EIR in TrueBeam was significantly higher than that in Clinac iX. The minor interlock had the second highest BPR, whereas a smaller EIR. Meanwhile, the EIR for the LaserGuard fault was the highest, and that for the monitor chamber fault was the second highest. These machine failures occurred in TrueBeam. The BPR and EIR should be evaluated for each linac. Further, the sensitivity of the BPR, it decreased with higher T1/2 and α/β values. No relative difference is observed in the BPR for each machine failure when T1/2 and α/β were varied.<h4>Conclusion</h4>The risk faced by patients and institutions in machine failure may be reduced using MFRA.<h4>Advances in knowledge</h4>For clinical radiotherapy, interruption can occur from unscheduled downtime with machine failures. Interruption causes sublethal damage repair. The current study evaluated the effect of interruption in radiotherapy owing to machine failure on patients and medical institutions using a new method, that is, machine failure risk analysis.

リンク情報
DOI
https://doi.org/10.1002/acm2.13126
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/33326695
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856522
URL
https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13126
URL
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/acm2.13126
ID情報
  • DOI : 10.1002/acm2.13126
  • ISSN : 1526-9914
  • eISSN : 1526-9914
  • ORCIDのPut Code : 90059259
  • PubMed ID : 33326695
  • PubMed Central 記事ID : PMC7856522

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