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

OBJECTIVES: To evaluate the effect of interruption in radiotherapy due to machine failure in patients and medical institutions using machine failure risk analysis (MFRA). MATERIAL AND METHODS: The risk of machine failure during treatment is assigned to three scores (biological effect, B; occurrence,...

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Autores principales: Kawahara, Daisuke, Nakano, Hisashi, Saito, Akito, Ochi, Yusuke, Nagata, Yasushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856522/
https://www.ncbi.nlm.nih.gov/pubmed/33326695
http://dx.doi.org/10.1002/acm2.13126
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author Kawahara, Daisuke
Nakano, Hisashi
Saito, Akito
Ochi, Yusuke
Nagata, Yasushi
author_facet Kawahara, Daisuke
Nakano, Hisashi
Saito, Akito
Ochi, Yusuke
Nagata, Yasushi
author_sort Kawahara, Daisuke
collection PubMed
description OBJECTIVES: To evaluate the effect of interruption in radiotherapy due to machine failure in patients and medical institutions using machine failure risk analysis (MFRA). MATERIAL AND METHODS: 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 [Formula: see text] and [Formula: see text] ([Formula: see text]) and [Formula: see text] and [Formula: see text] ([Formula: see text]), respectively. The MFRA is performed in two linear accelerators (linacs). RESULT: 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 [Formula: see text] and α/β values. No relative difference is observed in the BPR for each machine failure when [Formula: see text] and α/β were varied. CONCLUSION: The risk faced by patients and institutions in machine failure may be reduced using MFRA. ADVANCES IN KNOWLEDGE: 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.
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spelling pubmed-78565222021-02-05 Formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy Kawahara, Daisuke Nakano, Hisashi Saito, Akito Ochi, Yusuke Nagata, Yasushi J Appl Clin Med Phys Radiation Oncology Physics OBJECTIVES: To evaluate the effect of interruption in radiotherapy due to machine failure in patients and medical institutions using machine failure risk analysis (MFRA). MATERIAL AND METHODS: 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 [Formula: see text] and [Formula: see text] ([Formula: see text]) and [Formula: see text] and [Formula: see text] ([Formula: see text]), respectively. The MFRA is performed in two linear accelerators (linacs). RESULT: 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 [Formula: see text] and α/β values. No relative difference is observed in the BPR for each machine failure when [Formula: see text] and α/β were varied. CONCLUSION: The risk faced by patients and institutions in machine failure may be reduced using MFRA. ADVANCES IN KNOWLEDGE: 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. John Wiley and Sons Inc. 2020-12-16 /pmc/articles/PMC7856522/ /pubmed/33326695 http://dx.doi.org/10.1002/acm2.13126 Text en © 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Kawahara, Daisuke
Nakano, Hisashi
Saito, Akito
Ochi, Yusuke
Nagata, Yasushi
Formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy
title Formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy
title_full Formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy
title_fullStr Formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy
title_full_unstemmed Formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy
title_short Formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy
title_sort formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856522/
https://www.ncbi.nlm.nih.gov/pubmed/33326695
http://dx.doi.org/10.1002/acm2.13126
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